UK Data Archive Data Dictionary

 File-level information:

File Name = 		_childcare_spss_non_hierachical_260100650
Number of variables = 	286
Number of cases = 	5461

Variable-level information:

Pos. = 1	Variable = serial	Variable label = serial
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 2	Variable = uniqid	Variable label = uniqid
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2

Pos. = 3	Variable = @tabset1	Variable label = tabset- Full day care
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 4	Variable = @tabset2	Variable label = tabset- Sessional
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 5	Variable = @tabset3	Variable label = tabset- Children's centre
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 6	Variable = @tabset4	Variable label = tabset- Children's centre FDC
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 7	Variable = @tabset5	Variable label = tabset- Out of school -After school
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 8	Variable = @tabset6	Variable label = tabset- Out of school -Holiday club
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @tabset6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 9	Variable = dnsamp	Variable label = Query
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dnsamp
	Value = 1	Label = Full day care
	Value = 2	Label = Sessional
	Value = 3	Label = Out of school
	Value = 4	Label = Children's centre
	Value = 5	Label = Holiday
	Value = 6	Label = After school
	Value = 7	Label = Children's centre FDC
	Value = 8	Label = Breakfast
	Value = 9	Label = Weekend
	Value = 10	Label = Not Stated

Pos. = 10	Variable = @qtypes1	Variable label = QTYPES Types of care offered on-site- Full daycare for children under 5
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 11	Variable = @qtypes2	Variable label = QTYPES Types of care offered on-site- Sessional care for children under 5
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 12	Variable = @qtypes3	Variable label = QTYPES Types of care offered on-site- Before school activities or childcare for school aged children in term time
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 13	Variable = @qtypes4	Variable label = QTYPES Types of care offered on-site- After school activities or childcare for school aged children in term time
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 14	Variable = @qtypes5	Variable label = QTYPES Types of care offered on-site- Holiday care for school aged children (i.e. during any school holidays)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 15	Variable = @qtypes6	Variable label = QTYPES Types of care offered on-site- Weekend care
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 16	Variable = @qtypes7	Variable label = QTYPES Types of care offered on-site- Don't Know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes7
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 17	Variable = @qtypes8	Variable label = QTYPES Types of care offered on-site- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtypes8
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 18	Variable = qbef	Variable label = QBEF Whether children under 8 can attend before school activities
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qbef
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 19	Variable = qaft	Variable label = QAFT Whether children under 8 can attend after school activities
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qaft
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 20	Variable = @qafts1	Variable label = QAFTS Whether after school care is provided by just the school or in partnership with another group- A school providing after school activities itself
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qafts1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 21	Variable = @qafts2	Variable label = QAFTS Whether after school care is provided by just the school or in partnership with another group- A school providing after school activities in partnership with another school or schools
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qafts2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 22	Variable = @qafts3	Variable label = QAFTS Whether after school care is provided by just the school or in partnership with another group- Another type of provider including voluntary, community and private sector providers
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qafts3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 23	Variable = @qafts4	Variable label = QAFTS Whether after school care is provided by just the school or in partnership with another group- Don't know
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qafts4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 24	Variable = @qafts5	Variable label = QAFTS Whether after school care is provided by just the school or in partnership with another group- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qafts5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 25	Variable = qholi	Variable label = QHOLI Whether children under 8 can attend holiday care
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qholi
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 26	Variable = @qholis1	Variable label = QHOLIS Whether holiday care is provided by just the school or in partnership with another group- A school providing holiday care itself
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qholis1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 27	Variable = @qholis2	Variable label = QHOLIS Whether holiday care is provided by just the school or in partnership with another group- A school providing holiday care in partnership with another school or schools
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qholis2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 28	Variable = @qholis3	Variable label = QHOLIS Whether holiday care is provided by just the school or in partnership with another group- Another type of provider including voluntary, community and private sector providers
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qholis3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 29	Variable = @qholis4	Variable label = QHOLIS Whether holiday care is provided by just the school or in partnership with another group- DO NOT READ OUT: Don't know
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qholis4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 30	Variable = @qholis5	Variable label = QHOLIS Whether holiday care is provided by just the school or in partnership with another group- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholis5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 31	Variable = qwend	Variable label = QWEND Whether children under 8 can attend weekend care
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qwend
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 32	Variable = qcc	Variable label = QCC Whether full day care is provided on behalf of a children's centre
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qcc
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 33	Variable = qonoff	Variable label = QONOFF Where full day care is provded
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for qonoff
	Value = -1	Label = Don't Know
	Value = 1	Label = On site
	Value = 2	Label = Off site / another site
	Value = 4	Label = Not Stated

Pos. = 34	Variable = @qtype1	Variable label = QTYPES1 Types of care offered off-site- Full daycare for children under 5
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qtype1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 35	Variable = @qtype2	Variable label = QTYPES1 Types of care offered off-site- Sessional care for children under 5
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qtype2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 36	Variable = @qtype3	Variable label = QTYPES1 Types of care offered off-site- Before school activities or childcare for school aged children in term time
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2
	Value label information for @qtype3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 37	Variable = @qtype4	Variable label = QTYPES1 Types of care offered off-site- After school activities or childcare for school aged children in term time
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 38	Variable = @qtype5	Variable label = QTYPES1 Types of care offered off-site- Holiday care for school aged children (i.e. during any school holidays)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 39	Variable = @qtype6	Variable label = QTYPES1 Types of care offered off-site- Weekend care
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 40	Variable = @qtype7	Variable label = QTYPES1 Types of care offered off-site- Don't Know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype7
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 41	Variable = @qtype8	Variable label = QTYPES1 Types of care offered off-site- None of these
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype8
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 42	Variable = @qtype9	Variable label = QTYPES1 Types of care offered off-site- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qtype9
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 43	Variable = @dfdc1	Variable label = DFDC Whether FDC is offered onsite / offsite / not offered at Children's Centres- Full day care offered (on or off site)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @dfdc1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 44	Variable = @dfdc2	Variable label = DFDC Whether FDC is offered onsite / offsite / not offered at Children's Centres- Full day care offered (on site only)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @dfdc2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 45	Variable = @dfdc3	Variable label = DFDC Whether FDC is offered onsite / offsite / not offered at Children's Centres- Full day care offered (off site only)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @dfdc3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 46	Variable = @dfdc4	Variable label = DFDC Whether FDC is offered onsite / offsite / not offered at Children's Centres- Full day care not offered
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @dfdc4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 47	Variable = @dfdc5	Variable label = DFDC Whether FDC is offered onsite / offsite / not offered at Children's Centres- Don't know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @dfdc5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 48	Variable = @qholid1	Variable label = QHOLIDA Holiday periods that childcare is provided- Christmas
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 49	Variable = @qholid2	Variable label = QHOLIDA Holiday periods that childcare is provided- Easter
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 50	Variable = @qholid3	Variable label = QHOLIDA Holiday periods that childcare is provided- Summer
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 51	Variable = @qholid4	Variable label = QHOLIDA Holiday periods that childcare is provided- Any half term
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 52	Variable = @qholid5	Variable label = QHOLIDA Holiday periods that childcare is provided- Don't Know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 53	Variable = @qholid6	Variable label = QHOLIDA Holiday periods that childcare is provided- (None of these)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 54	Variable = @qholid7	Variable label = QHOLIDA Holiday periods that childcare is provided- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qholid7
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 55	Variable = @qnman1	Variable label = QNMANAG Who manages provision- Owner - manager
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 56	Variable = @qnman2	Variable label = QNMANAG Who manages provision- Part of a group or chain
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 57	Variable = @qnman3	Variable label = QNMANAG Who manages provision- Voluntary or community group
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 58	Variable = @qnman4	Variable label = QNMANAG Who manages provision- College/HE
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 59	Variable = @qnman5	Variable label = QNMANAG Who manages provision- Local authority only
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 60	Variable = @qnman6	Variable label = QNMANAG Who manages provision- Jointly managed scheme with local authority
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 61	Variable = @qnman7	Variable label = QNMANAG Who manages provision- School
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman7
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 62	Variable = @qnman8	Variable label = QNMANAG Who manages provision- Employer
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman8
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 63	Variable = @qnman9	Variable label = QNMANAG Who manages provision- Hospital
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman9
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 64	Variable = @qnman10	Variable label = QNMANAG Who manages provision- Retail (e.g. supermarket creche)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman10
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 65	Variable = @qnman11	Variable label = QNMANAG Who manages provision- Church or religious group
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman11
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 66	Variable = @qnman12	Variable label = QNMANAG Who manages provision- Committee
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman12
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 67	Variable = @qnman13	Variable label = QNMANAG Who manages provision- Charity
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman13
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 68	Variable = @qnman14	Variable label = QNMANAG Who manages provision- Directors
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman14
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 69	Variable = @qnman15	Variable label = QNMANAG Who manages provision- Privately owned - General Mention
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman15
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 70	Variable = @qnman16	Variable label = QNMANAG Who manages provision- PRIVATE
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman16
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 71	Variable = @qnman17	Variable label = QNMANAG Who manages provision- VOLUNTARY
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman17
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 72	Variable = @qnman18	Variable label = QNMANAG Who manages provision- LOCAL AUTHORITY
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman18
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 73	Variable = @qnman19	Variable label = QNMANAG Who manages provision- SCHOOL / COLLEGE
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman19
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 74	Variable = @qnman20	Variable label = QNMANAG Who manages provision- OTHER
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman20
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 75	Variable = @qnman21	Variable label = QNMANAG Who manages provision- No answer
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman21
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 76	Variable = @qnman22	Variable label = QNMANAG Who manages provision- Don't know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman22
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 77	Variable = @qnman23	Variable label = QNMANAG Who manages provision- Other answer
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman23
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 78	Variable = @qnman24	Variable label = QNMANAG Who manages provision- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @qnman24
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 79	Variable = qnchari	Variable label = QNCHARI Whether provider is setup as a charity
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qnchari
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 80	Variable = qregist	Variable label = QREGIST Number of Ofsted registered places
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qregist
	Value = -1	Label = Don't Know
	Value = 1	Label = 1-9
	Value = 2	Label = 10-19
	Value = 3	Label = 20-29
	Value = 4	Label = 30-39
	Value = 5	Label = 40-49
	Value = 6	Label = 50 or more
	Value = 8	Label = Not Stated

Pos. = 81	Variable = qnothol	Variable label = QNOTHOL Number of children attending in a typical term time week
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnothol
	Value = -1	Label = Don't Know
	Value = 1	Label = 1-9
	Value = 2	Label = 10-19
	Value = 3	Label = 20-29
	Value = 4	Label = 30-39
	Value = 5	Label = 40-49
	Value = 6	Label = 50 or more

Pos. = 82	Variable = qreghol	Variable label = QREGHOL Number of children attending in most recent holiday period
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qreghol
	Value = -1	Label = Don't Know
	Value = 1	Label = 1-9
	Value = 2	Label = 10-19
	Value = 3	Label = 20-29
	Value = 4	Label = 30-39
	Value = 5	Label = 40-49
	Value = 6	Label = 50 or more

Pos. = 83	Variable = dratio	Variable label = DRATIO Number of attendees per place at settings
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dratio
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 0.1 - 0.25
	Value = 3	Label = 0.26 - 0.50
	Value = 4	Label = 0.51 - 0.75
	Value = 5	Label = 0.76 - 1.00
	Value = 6	Label = 1.01 - 1.50
	Value = 7	Label = 1.51 - 2.00
	Value = 8	Label = 2.01 - 5.00
	Value = 9	Label = 5.01 or more

Pos. = 84	Variable = qages_1	Variable label = QAGES1 Number of children in different age groups - Under two years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_1
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 85	Variable = qages_2	Variable label = QAGES2 Number of children in different age groups - 2 years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_2
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 86	Variable = qages_3	Variable label = QAGES3 Number of children in different age groups - 3 years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_3
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 87	Variable = qages_4	Variable label = QAGES4 Number of children in different age groups - 4 years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_4
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 88	Variable = qages_5	Variable label = QAGES5 Number of children in different age groups - 5-7 years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_5
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 89	Variable = qages_6	Variable label = QAGES6 Number of children in different age groups - 8-10 years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_6
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 90	Variable = qages_7	Variable label = QAGES7 Number of children in different age groups - 11 years or over
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qages_7
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-10
	Value = 3	Label = 11-20
	Value = 4	Label = 21-50
	Value = 5	Label = 51 or more
	Value = 7	Label = Not Stated

Pos. = 91	Variable = totkids	Variable label = DTOTKIDS Total number of children looked after
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for totkids
	Value = -1	Label = Don't Know
	Value = 1	Label = 1-9
	Value = 2	Label = 10-19
	Value = 3	Label = 20-29
	Value = 4	Label = 30-39
	Value = 5	Label = 40-49
	Value = 6	Label = 50+
	Value = 9	Label = Not Stated

Pos. = 92	Variable = dageu2	Variable label = DAGEU2 Proportion of children within a provider aged under two years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dageu2
	Value = -1	Label = Don't Know
	Value = 1	Label = No children under 2
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-100%

Pos. = 93	Variable = dage24	Variable label = DAGE24 Proportion of children within a provider aged two to four years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dage24
	Value = -1	Label = Don't Know
	Value = 1	Label = No children aged 2-4
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-100%

Pos. = 94	Variable = dage57	Variable label = DAGE57 Proportion of children within a provider aged five to seven years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dage57
	Value = -1	Label = Don't Know
	Value = 1	Label = No children aged 5-7
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-100%

Pos. = 95	Variable = dage810	Variable label = DAGE810 Proportion of children within a provider aged eight to ten years old
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dage810
	Value = -1	Label = Don't Know
	Value = 1	Label = No children aged 8 or over
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-100%

Pos. = 96	Variable = dage110	Variable label = DAGE110 Proportion of children within a provider aged eleven or over
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dage110
	Value = -1	Label = Don't Know
	Value = 1	Label = No children aged 8 or over
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-100%

Pos. = 97	Variable = @q9disa1	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Minor disabilities
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 98	Variable = @q9disa2	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Moderate disabilities
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 99	Variable = @q9disa3	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Severe disabilities
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 100	Variable = @q9disa4	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Does not currently care for children with disabilities
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 101	Variable = @q9disa5	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Don't know
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 102	Variable = @q9disa6	Variable label = Q9DISAB Whether cares for children with mental/physical disabilities- Not Stated
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @q9disa6
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 103	Variable = qvacant	Variable label = QVACANT Number of vacant places on an average day
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qvacant
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-5
	Value = 3	Label = 6-10
	Value = 4	Label = 11-20
	Value = 5	Label = 21-30
	Value = 6	Label = 31 or more

Pos. = 104	Variable = dvac	Variable label = DVAC Vacant child places as a proportion of registered child places
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dvac
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-5%
	Value = 3	Label = 6-10%
	Value = 4	Label = 11-15%
	Value = 5	Label = 16-20%
	Value = 6	Label = 21-25%
	Value = 7	Label = 26-50%
	Value = 8	Label = 51-75%
	Value = 9	Label = 76-100%

Pos. = 105	Variable = qweeks	Variable label = QWEEKS Number of weeks a year provider is open
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qweeks
	Value = -1	Label = Don't Know
	Value = 1	Label = 1 - 37
	Value = 2	Label = 38
	Value = 3	Label = 39 - 49
	Value = 4	Label = 50 or more
	Value = 6	Label = Not Stated

Pos. = 106	Variable = q9wkfre	Variable label = Q9WKFRE Number of weeks per year 3 and 4 year olds can access free early education sessions
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9wkfre
	Value = -1	Label = Don't Know
	Value = 1	Label = 0
	Value = 2	Label = Less than 16
	Value = 3	Label = 16-38
	Value = 4	Label = 39-52
	Value = 6	Label = Not Stated

Pos. = 107	Variable = qstaff	Variable label = QSTAFF Staff category respondent comes under
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qstaff
	Value = -1	Label = Don't Know
	Value = 1	Label = Senior manager (person with overall responsibility for managing the provision)
	Value = 2	Label = Supervisory staff (this includes all other staff qualified to supervise a group of children on their own, including othe
	Value = 3	Label = Other childcare staff (not qualified to supervise groups of children on their own)
	Value = 4	Label = Administrator
	Value = 5	Label = Chair
	Value = 6	Label = Owner
	Value = 7	Label = Director
	Value = 8	Label = Finance Manager/Treasurer
	Value = 9	Label = No answer
	Value = 11	Label = Other answer
	Value = 12	Label = Not Stated

Pos. = 108	Variable = qsenior	Variable label = QSENIOR Whether provider has a senior manager
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qsenior
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 109	Variable = qsuperv	Variable label = QSUPERV Number of supervisory staff the provider employs
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsuperv
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-3
	Value = 3	Label = 4-6
	Value = 4	Label = 7-10
	Value = 5	Label = 11 or more
	Value = 7	Label = Not Stated

Pos. = 110	Variable = qpaid	Variable label = QPAID Number of other paid childcare staff the provider employs
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpaid
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-3
	Value = 3	Label = 4-6
	Value = 4	Label = 7-10
	Value = 5	Label = 11 or more
	Value = 7	Label = Not Stated

Pos. = 111	Variable = totstaff	Variable label = DTOTSTAFF Total number of paid staff
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for totstaff
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-5 staff
	Value = 3	Label = 6-10 staff
	Value = 4	Label = 11-15 staff
	Value = 5	Label = 16-20 staff
	Value = 6	Label = 21+ staff
	Value = 9	Label = Not Stated

Pos. = 112	Variable = qstuden	Variable label = QSTUDEN Number of unpaid students on placements
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qstuden
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3 or more
	Value = 6	Label = Not Stated

Pos. = 113	Variable = qvolunt	Variable label = QVOLUNT Number of unpaid volunteers
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qvolunt
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3 or more
	Value = 6	Label = Not Stated

Pos. = 114	Variable = totstafa	Variable label = DTOTSTAFA Total number of paid and unpaid staff
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for totstafa
	Value = -1	Label = Don't Know
	Value = 1	Label = 1-5 staff
	Value = 2	Label = 6-10 staff
	Value = 3	Label = 11-15 staff
	Value = 4	Label = 16-20 staff
	Value = 5	Label = 21+ staff
	Value = 8	Label = Not Stated

Pos. = 115	Variable = qsmhour	Variable label = QSMHOUR Number of hours senior manager works
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsmhour
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 116	Variable = qsmperi	Variable label = QSMPERI Period that pay covers
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsmperi
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Hour
	Value = 6	Label = Session
	Value = 7	Label = No answer
	Value = 9	Label = Other answer
	Value = 10	Label = Not Stated

Pos. = 117	Variable = qrefuse	Variable label = QREFUSE Pay bands of senior manager
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qrefuse
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 118	Variable = qnquali	Variable label = QNQUALI Level of highest qualification that senior manager holds
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnquali
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No relevant qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 119	Variable = qnqts	Variable label = QNQTS Whether senior manager is a qualified teacher (QTS)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qnqts
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 120	Variable = q9eypss	Variable label = Q9EYPSS Whether senior manager has EYPS
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for q9eypss
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 121	Variable = qnlevew	Variable label = QNLEVEW Level of highest qualification that senior manager is working towards
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnlevew
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 122	Variable = q9ints	Variable label = Q9INTS Amount senior manager's time spent interacting directly with children
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9ints
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 123	Variable = dsmpayho	Variable label = DSMPAYHO How much senior manager is paid an hour
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsmpayho
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 124	Variable = dsmpayre	Variable label = DSMPAYREF How much senior manager is paid per hour (with answers from those picking pay bands included)
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsmpayre
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 125	Variable = qsup_1	Variable label = QSUP1 Number of hours supervisory staff work - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsup_1
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 126	Variable = qsup_2	Variable label = QSUP2 Number of hours supervisory staff work - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsup_2
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 127	Variable = qsup_3	Variable label = QSUP3 Number of hours supervisory staff work - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qsup_3
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 128	Variable = qspe_1	Variable label = QSPE Period pay covers  - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qspe_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 129	Variable = qspe_2	Variable label = QSPE Period pay covers  - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qspe_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 130	Variable = qspe_3	Variable label = QSPE Period pay covers  - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qspe_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 131	Variable = qpba_1	Variable label = QPBA Pay bands of supervisory staff  - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpba_1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 132	Variable = qpba_2	Variable label = QPBA Pay bands of supervisory staff  - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpba_2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 133	Variable = qpba_3	Variable label = QPBA Pay bands of supervisory staff  - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpba_3
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 134	Variable = qnsq_1	Variable label = QNSQ1 Level of the highest qualification that supervisory staff hold - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnsq_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 135	Variable = qnsq_2	Variable label = QNSQ2 Level of the highest qualification that supervisory staff hold - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnsq_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 136	Variable = qnsq_3	Variable label = QNSQ3 Level of the highest qualification that supervisory staff hold - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnsq_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 137	Variable = qnqt_1	Variable label = QNQT1 Whether supervisory staff are qualified teachers (QTS) - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qnqt_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 138	Variable = qnqt_2	Variable label = QNQT2 Whether supervisory staff are qualified teachers (QTS) - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qnqt_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 139	Variable = qnqt_3	Variable label = QNQT3 Whether supervisory staff are qualified teachers (QTS) - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qnqt_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 140	Variable = Q9EYPST1	Variable label = Q9EYPST1 Whether supervisor has EYPS - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPST1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 141	Variable = Q9EYPST2	Variable label = Q9EYPST2 Whether supervisor has EYPS - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPST2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 142	Variable = Q9EYPST3	Variable label = Q9EYPST3 Whether supervisor has EYPS - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPST3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 143	Variable = qnqw_1	Variable label = QNQW1 Level of highest qualification that supervisory staff are working towards - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqw_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 144	Variable = qnqw_2	Variable label = QNQW2 Level of highest qualification that supervisory staff are working towards - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqw_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 145	Variable = qnqw_3	Variable label = QNQW3 Level of highest qualification that supervisory staff are working towards - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqw_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 146	Variable = q9int_1	Variable label = Q9INT1 Amount of supervisors time spent interacting directly with children - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9int_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 147	Variable = q9int_2	Variable label = Q9INT2 Amount of supervisors time spent interacting directly with children - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9int_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 148	Variable = q9int_3	Variable label = Q9INT3 Amount of supervisors time spent interacting directly with children - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9int_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 149	Variable = dsupho1	Variable label = DSUPHO1 How much supervisory staff are paid per hour - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupho1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 150	Variable = dsupho2	Variable label = DSUPHO2 How much supervisory staff is paid an hour - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupho2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15 or more

Pos. = 151	Variable = dsupho3	Variable label = DSUPHO3 How much supervisory staff is paid an hour - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupho3
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15 or more

Pos. = 152	Variable = dsupref1	Variable label = DSUPREF1 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupref1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 153	Variable = dsupref2	Variable label = DSUPREF2 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupref2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 154	Variable = dsupref3	Variable label = DSUPREF3 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsupref3
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 155	Variable = qoth_1	Variable label = QOTH1 Number of hours other paid childcare staff work - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qoth_1
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 156	Variable = qoth_2	Variable label = QOTH2 Number of hours other childcare paid staff work - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qoth_2
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 157	Variable = qoth_3	Variable label = QOTH3 Number of hours other childcare paid staff work - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qoth_3
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 158	Variable = qope_1	Variable label = QOPE Period pay covers  - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qope_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 159	Variable = qope_2	Variable label = QOPE Period pay covers  - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qope_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 160	Variable = qope_3	Variable label = QOPE Period pay covers  - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qope_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Daily
	Value = 2	Label = Weekly
	Value = 3	Label = Monthly
	Value = 4	Label = Annual
	Value = 5	Label = Session
	Value = 6	Label = No answer
	Value = 8	Label = Other answer
	Value = 9	Label = Not Stated

Pos. = 161	Variable = qpbo_1	Variable label = QPBO Pay bands of other paid staff  - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpbo_1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 162	Variable = qpbo_2	Variable label = QPBO Pay bands of other paid staff  - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpbo_2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 163	Variable = qpbo_3	Variable label = QPBO Pay bands of other paid staff  - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qpbo_3
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than 4 pounds
	Value = 2	Label = 4 pounds to 5.50
	Value = 3	Label = 5.51 to 7.50 pounds
	Value = 4	Label = 7.51 to 10 pounds
	Value = 5	Label = 10.01 to 15 pounds
	Value = 6	Label = More than 15 pounds an hour
	Value = 9	Label = Not Stated

Pos. = 164	Variable = qnqu_1	Variable label = QNQU Level of the highest qualification that other paid childcare staff hold - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqu_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 165	Variable = qnqu_2	Variable label = QNQU Level of the highest qualification that other paid childcare staff hold - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqu_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 166	Variable = qnqu_3	Variable label = QNQU Level of the highest qualification that other paid childcare staff hold - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnqu_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 167	Variable = ques_1	Variable label = QUES Whether other paid childcare staff are qualified teachers (QTS) - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for ques_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 168	Variable = ques_2	Variable label = QUES Whether other paid childcare staff are qualified teachers (QTS) - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for ques_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 169	Variable = ques_3	Variable label = QUES Whether other paid childcare staff are qualified teachers (QTS) - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for ques_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 170	Variable = Q9EYPSU1	Variable label = Q9EYPSU1 Whether other paid member of staff has EYPS - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPSU1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 171	Variable = Q9EYPSU2	Variable label = Q9EYPSU2 Whether other paid member of staff has EYPS - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPSU2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 172	Variable = Q9EYPSU3	Variable label = Q9EYPSU3 Whether other paid member of staff has EYPS - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for Q9EYPSU3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 173	Variable = qnoq_1	Variable label = QNOQ Level of the highest qualification that other paid childcare staff are working towards - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnoq_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 174	Variable = qnoq_2	Variable label = QNOQ Level of the highest qualification that other paid childcare staff are working towards - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnoq_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 175	Variable = qnoq_3	Variable label = QNOQ Level of the highest qualification that other paid childcare staff are working towards - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnoq_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 176	Variable = q9intu_1	Variable label = Q9INTU1 Amount of other paid staff's time spent directly interacting with children - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9intu_1
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 177	Variable = q9intu_2	Variable label = Q9INTU2 Amount of other paid staff's time spent directly interacting with children - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9intu_2
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 178	Variable = q9intu_3	Variable label = Q9INTU3 Amount of other paid staff's time spent directly interacting with children - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9intu_3
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 179	Variable = dotho1	Variable label = DOTHO How much other paid childcare staff are paid per hour - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotho1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 180	Variable = dotho2	Variable label = DOTHO How much other paid childcare staff are paid per hour - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotho2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 181	Variable = dotho3	Variable label = DOTHO How much other paid childcare staff are paid per hour - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotho3
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 182	Variable = dotref1	Variable label = DOTREF How much other paid childcare staff are paid per hour (with answers from those picking pay bands included) - FIRST
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotref1
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 183	Variable = dotref2	Variable label = DOTREF How much other paid childcare staff are paid per hour (with answers from those picking pay bands included) - SECOND
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotref2
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more
	Value = 8	Label = Refused know

Pos. = 184	Variable = dotref3	Variable label = DOTREF How much other paid childcare staff are paid per hour (with answers from those picking pay bands included) - THIRD
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dotref3
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more
	Value = 8	Label = Refused know

Pos. = 185	Variable = dshours	Variable label = DSHOURS (All staff) Number of hours paid staff work a week
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dshours
	Value = -1	Label = Don't Know
	Value = 1	Label = 4 hours or less
	Value = 2	Label = 5-10 hours
	Value = 3	Label = 11-14 hours
	Value = 4	Label = 15-29 hours
	Value = 5	Label = 30 HOURS OR MORE (FULL TIME)
	Value = 7	Label = Not Stated

Pos. = 186	Variable = dsqual	Variable label = DSQUAL (All staff )Level of highest qualifications that paid staff hold
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsqual
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = No relevant qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 187	Variable = dsqts	Variable label = DSQTS (All staff) Whether paid staff have qualified teacher status (QTS)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqts
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 188	Variable = dsqualw	Variable label = DSQUALW (All staff) Highest level qualification that paid staff are working towards
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsqualw
	Value = -1	Label = Don't Know
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8
	Value = 9	Label = Overseas qualification
	Value = 10	Label = Not working towards a qualification
	Value = 12	Label = Other answer
	Value = 13	Label = Not Stated

Pos. = 189	Variable = dspay	Variable label = DSPAY (All staff) How much paid staff are paid an hour
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dspay
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Less than £4
	Value = 2	Label = £4-5.50
	Value = 3	Label = £5.51-7.50
	Value = 4	Label = £7.51-10
	Value = 5	Label = £10.01-15
	Value = 6	Label = £15.01 or more

Pos. = 190	Variable = qnst_1	Variable label = QNST Number of paid staff at different qualification levels - No qualifications
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnst_1
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4
	Value = 6	Label = 5
	Value = 7	Label = 6
	Value = 8	Label = 7 or more
	Value = 10	Label = Not Stated

Pos. = 191	Variable = qnst_2	Variable label = QNST Number of paid staff at different qualification levels - At NVQ level 1 or 2 (or equivalent)
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnst_2
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4
	Value = 6	Label = 5
	Value = 7	Label = 6
	Value = 8	Label = 7 or more
	Value = 10	Label = Not Stated

Pos. = 192	Variable = qnst_3	Variable label = QNST Number of paid staff at different qualification levels - At NVQ level 6 or above (or equivalent)
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qnst_3
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4
	Value = 6	Label = 5
	Value = 7	Label = 6
	Value = 8	Label = 7 or more
	Value = 10	Label = Not Stated

Pos. = 193	Variable = qeypnew	Variable label = QEYPNEW Number of staff with EYP Status
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qeypnew
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = 0
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4

Pos. = 194	Variable = q9eypwk	Variable label = Q9EYPWK Total number of staff working towards EYPS
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9eypwk
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = 0
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4

Pos. = 195	Variable = qsurplu	Variable label = QSURPLU Financial state of provider
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qsurplu
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Made surpluses
	Value = 2	Label = Covered costs
	Value = 3	Label = Operated at a loss

Pos. = 196	Variable = qprofit	Variable label = QPROFIT Financial state of provider
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qprofit
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Made profit
	Value = 2	Label = Covered costs
	Value = 3	Label = Operated at a loss

Pos. = 197	Variable = qloss2	Variable label = QLOSS2 Whether loss due to one off circumstance
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qloss2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No

Pos. = 198	Variable = dmoney	Variable label = DMONEY Profit/loss
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dmoney
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Made money
	Value = 2	Label = Covered costs
	Value = 3	Label = Operated at a loss

Pos. = 199	Variable = q12mon	Variable label = Q12MON Whether provider has expanded in the last 12 months
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for q12mon
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No

Pos. = 200	Variable = qincrea	Variable label = QINCREA Whether plan to increase the number of registered places in the next 12 months
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qincrea
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No

Pos. = 201	Variable = qoccup	Variable label = QOCCUP Number of occupied places on an average day
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for qoccup
	Value = -1	Label = Don't Know
	Value = 1	Label = None
	Value = 2	Label = 1-5
	Value = 3	Label = 6-10
	Value = 4	Label = 11-20
	Value = 5	Label = 21-30
	Value = 6	Label = 31 or more

Pos. = 202	Variable = doccup	Variable label = DOCCUP Occupied child places as a proportion of registered child places
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for doccup
	Value = -1	Label = Don't Know
	Value = 1	Label = No occupied places
	Value = 2	Label = 1-25%
	Value = 3	Label = 26-50%
	Value = 4	Label = 51-75%
	Value = 5	Label = 76-99%
	Value = 6	Label = 100%

Pos. = 203	Variable = qrecont	Variable label = QRECONT Whether willing to be recontacted
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for qrecont
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes - willing to be re-contacted
	Value = 2	Label = No - not willing to be recontact
	Value = 4	Label = Not Stated

Pos. = 204	Variable = dseyps	Variable label = DSEYPS (All staff) Whether staff have early years professional status (EYPS)
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dseyps
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not Stated

Pos. = 205	Variable = dsinter	Variable label = DSINTER (All staff) Time spent interacting with children
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for dsinter
	Value = -1	Label = Don't Know
	Value = 1	Label = Up to 1 hour
	Value = 2	Label = 2 hours
	Value = 3	Label = 3 hours
	Value = 4	Label = 4 hours
	Value = 5	Label = 5 hours
	Value = 6	Label = 6 hours
	Value = 7	Label = 7 hours or more
	Value = 9	Label = Not Stated

Pos. = 206	Variable = q9eypwk2	Variable label = Q9EYPWK Total number of staff working towards EYPS
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for q9eypwk2
	Value = -2	Label = Refused
	Value = -1	Label = Don't Know
	Value = 1	Label = 0
	Value = 2	Label = 1
	Value = 3	Label = 2
	Value = 4	Label = 3
	Value = 5	Label = 4

Pos. = 207	Variable = dsqtsst1	Variable label = DSQTSST1 Whether supervisor has EYPS and QTS - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtsst1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 208	Variable = dsqtsst2	Variable label = DSQTSST2 Whether supervisor has EYPS and QTS - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtsst2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 209	Variable = dsqtsst3	Variable label = DSQTSST3 Whether supervisor has EYPS and QTS - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtsst3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 210	Variable = dsqtssu1	Variable label = DSQTSSU1 Whether other paid childcare staff have EYPS and QTS - FIRST
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtssu1
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 211	Variable = dsqtssu2	Variable label = DSQTSSU2 Whether other paid childcare staff have EYPS and QTS - SECOND
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtssu2
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 212	Variable = dsqtssu3	Variable label = DSQTSSU3 Whether other paid childcare staff have EYPS and QTS - THIRD
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtssu3
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 213	Variable = dsqtsss	Variable label = DSQTSSS  Whether senior manager has have EYPS and QTS
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqtsss
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 214	Variable = dsqteyp	Variable label = DSQTEYP (All staff) Whether have EYPS and QTS
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for dsqteyp
	Value = -1	Label = Don't Know
	Value = 1	Label = Yes
	Value = 2	Label = No
	Value = 4	Label = Not stated

Pos. = 215	Variable = bdep	Variable label = Index of Deprivation
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for bdep
	Value = 1	Label = Top 30% most deprived areas
	Value = 2	Label = 70% least deprived areas

Pos. = 216	Variable = bpopde	Variable label = Population Density
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for bpopde
	Value = 1	Label = Low density
	Value = 2	Label = Medium density
	Value = 3	Label = High density

Pos. = 217	Variable = breg	Variable label = Region
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for breg
	Value = 1	Label = East Midlands
	Value = 2	Label = East of England
	Value = 3	Label = London
	Value = 4	Label = NE
	Value = 5	Label = Yorkshire!&!Humberside
	Value = 6	Label = North West
	Value = 7	Label = South East
	Value = 8	Label = South West
	Value = 9	Label = West Midlands

Pos. = 218	Variable = bsamp	Variable label = SAMPLE TYPE
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for bsamp
	Value = 1	Label = Full day care
	Value = 2	Label = Sessional
	Value = 3	Label = Out of School
	Value = 4	Label = Children's Centre

Pos. = 219	Variable = btypor	Variable label = TYPE OF ORGANISATION
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for btypor
	Value = 1	Label = Non-profit making organisation /Charity
	Value = 2	Label = Profit making organisation

Pos. = 220	Variable = bchil	Variable label = NUMBER OF CHILDREN
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for bchil
	Value = 1	Label = 1-9 children
	Value = 2	Label = 10-19 children
	Value = 3	Label = 20-29 children
	Value = 4	Label = 30-39 children
	Value = 5	Label = 40-49 children
	Value = 6	Label = 50 or more children

Pos. = 221	Variable = bstaff	Variable label = NUMBER OF PAID STAFF
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for bstaff
	Value = 1	Label = 1-5 staff
	Value = 2	Label = 6-10 staff
	Value = 3	Label = 11-15 staff
	Value = 4	Label = 16-20 staff
	Value = 5	Label = 21+ staff

Pos. = 222	Variable = @bmanp1	Variable label = WHO MANAGES PROVISION- Private
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @bmanp1
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 223	Variable = @bmanp2	Variable label = WHO MANAGES PROVISION- Voluntary
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @bmanp2
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 224	Variable = @bmanp3	Variable label = WHO MANAGES PROVISION- Local Authority
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @bmanp3
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 225	Variable = @bmanp4	Variable label = WHO MANAGES PROVISION- School / College
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @bmanp4
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 226	Variable = @bmanp5	Variable label = WHO MANAGES PROVISION- Other
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for @bmanp5
	Value = 0	Label = No
	Value = 1	Label = Yes

Pos. = 227	Variable = bqual	Variable label = QUALIFICATION OF SENIOR MANAGER
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for bqual
	Value = 1	Label = No level six or above qualification
	Value = 2	Label = Level six or above qualification

Pos. = 228	Variable = bclub	Variable label = CLUB
This variable is  numeric, the SPSS measurement level is nominal.
SPSS user missing values = -1  and -2
	Value label information for bclub
	Value = 1	Label = After school club
	Value = 2	Label = Holiday club
	Value = 3	Label = Breakfast club
	Value = 4	Label = Weekend club

Pos. = 229	Variable = blevel	Variable label = LEVEL OF QUALIFICATION
This variable is  numeric, the SPSS measurement level is ordinal.
SPSS user missing values = -1  and -2
	Value label information for blevel
	Value = 1	Label = Level 1
	Value = 2	Label = Level 2
	Value = 3	Label = Level 3
	Value = 4	Label = Level 4
	Value = 5	Label = Level 5
	Value = 6	Label = Level 6
	Value = 7	Label = Level 7
	Value = 8	Label = Level 8

Pos. = 230	Variable = ndsmpayh	Variable label = DSMPAYHO How much senior manager is paid an hour - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 231	Variable = nqregist	Variable label = QREGIST Number of Ofsted registered places - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 232	Variable = nqnothol	Variable label = QNOTHOL Number of children attending in a typical term time week - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 233	Variable = nqreghol	Variable label = QREGHOL Number of children attending in most recent holiday period - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 234	Variable = nqages_1	Variable label = QAGES1 Number of children in different age groups - Under two years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 235	Variable = nqages_2	Variable label = QAGES2 Number of children in different age groups - 2 years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 236	Variable = nqages_3	Variable label = QAGES3 Number of children in different age groups - 3 years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 237	Variable = nqages_4	Variable label = QAGES4 Number of children in different age groups - 4 years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 238	Variable = nqages_5	Variable label = QAGES5 Number of children in different age groups - 5-7 years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 239	Variable = nqages_6	Variable label = QAGES6 Number of children in different age groups - 8-10 years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 240	Variable = nqages_7	Variable label = QAGES7 Number of children in different age groups - 11 years or over - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 241	Variable = nqvacant	Variable label = QVACANT Number of vacant places on an average day - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 242	Variable = nqsuperv	Variable label = QSUPERV Number of supervisory staff the provider employs - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 243	Variable = nqpaid_1	Variable label = QPAID Number of other paid childcare staff the provider employs - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 244	Variable = nqstuden	Variable label = QSTUDEN Number of unpaid students on placements - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 245	Variable = nqvolunt	Variable label = QVOLUNT Number of unpaid volunteers - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 246	Variable = nqweeks_	Variable label = QWEEKS Number of weeks a year provider is open - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 247	Variable = nqnst_1	Variable label = QNST Number of paid staff at different qualification levels - No qualifications - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 248	Variable = nqnst_2	Variable label = QNST Number of paid staff at different qualification levels - At NVQ level 1 or 2 (or equivalent) - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 249	Variable = nqnst_3	Variable label = QNST Number of paid staff at different qualification levels - At NVQ level 6 or above (or equivalent) - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 250	Variable = nqsmhour	Variable label = QSMHOUR Number of hours senior manager works - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 251	Variable = nqsup_1	Variable label = QSUP1 Number of hours supervisory staff work - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 252	Variable = nqsup_2	Variable label = QSUP2 Number of hours supervisory staff work - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 253	Variable = nqsup_3	Variable label = QSUP3 Number of hours supervisory staff work - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 254	Variable = nqoth_1	Variable label = QOTH1 Number of hours other paid childcare staff work - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 255	Variable = nqoth_2	Variable label = QOTH2 Number of hours other childcare paid staff work - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 256	Variable = nqoth_3	Variable label = QOTH3 Number of hours other childcare paid staff work - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 257	Variable = nq9wkfre	Variable label = Number of weeks per year 3 and 4 year olds can access free early years education sessions - RAW DATA 
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 258	Variable = nq9eypwk	Variable label = Total number of staff working towards EYPS - RAW DATA 
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 259	Variable = ndotref1	Variable label = DOTREF How much other paid childcare staff are paid per hour (with answers from those picking pay bands included) - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 260	Variable = ndotref2	Variable label = DOTREF How much other paid staff are paid (Per Hour) - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 261	Variable = ndotref3	Variable label = DOTREF How much other paid staff are paid (Per Hour) - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 262	Variable = ndsmpayr	Variable label = DSMPAYREF How much senior manager is paid per hour (with answers from those picking pay bands included) - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 263	Variable = ndsupref_1	Variable label = DSUPREF1 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 264	Variable = ndsupref_2	Variable label = DSUPREF2 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 265	Variable = ndsupref_3	Variable label = DSUPREF3 How much supervisory staff are paid per hour (with answers from those picking pay bands included) - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 266	Variable = nntotsta	Variable label = DTOTSTAFF Total number of paid staff - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 267	Variable = ntotstaf	Variable label = DTOTSTAFA Total number of paid and unpaid staff - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 268	Variable = ntotkids	Variable label = DTOTKIDS Total number of children looked after - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 269	Variable = ndageu2	Variable label = DAGEU2 Proportion of children within a provider aged under two years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 270	Variable = ndage24	Variable label = DAGE24 Proportion of children within a provider aged two to four years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 271	Variable = ndage57	Variable label = DAGE57 Proportion of children within a provider aged five to seven years old - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 272	Variable = ndage810	Variable label = DAGE8O Proportion of children within a provider aged eight years old or over - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 273	Variable = nsupho1	Variable label = DSUPHO1 How much supervisory staff are paid per hour - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 274	Variable = nsupho2	Variable label = DSUPHO2 How much supervisory staff is paid an hour - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 275	Variable = nsupho3	Variable label = DSUPHO3 How much supervisory staff is paid an hour - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 276	Variable = ndotho1	Variable label = DOTHO How much other paid childcare staff are paid per hour - FIRST - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 277	Variable = ndotho2	Variable label = DOTHO How much other paid childcare staff are paid per hour - SECOND - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 278	Variable = ndotho3	Variable label = DOTHO How much other paid childcare staff are paid per hour - THIRD - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 279	Variable = ndvac	Variable label = DVAC Vacant child places as a proportion of registered child places - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 280	Variable = ndratio	Variable label = DRATIO Number of attendees per place at settings - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 281	Variable = ndspay	Variable label = DSPAY (All staff) How much paid staff are paid an hour - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 282	Variable = ndoccup	Variable label = DOCCUP Occupied child places as a proportion of registered child places - RAW DATA
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 283	Variable = wt_reg	Variable label = Region weight
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 284	Variable = wt_supv	Variable label = Supervisor weight
This variable is  numeric, the SPSS measurement level is scale.
SPSS user missing values = -1  and -2

Pos. = 285	Variable = wt_paid	Variable label = Paid staff weight
This variable is  numeric, the SPSS measurement level is scale.

Pos. = 286	Variable = filter_$	Variable label = @tabset2 = 1 (FILTER)
This variable is  numeric, the SPSS measurement level is scale.
	Value label information for filter_$
	Value = 0	Label = Not Selected
	Value = 1	Label = Selected