1 Research, regeneration and education - analysing survey data with SPSS Tony Alderton Researcher for Early Years and Childcare Kent County Council 9 th.

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Presentation transcript:

1 Research, regeneration and education - analysing survey data with SPSS Tony Alderton Researcher for Early Years and Childcare Kent County Council 9 th October 2009 Tony Alderton Researcher for Early Years and Childcare Kent County Council 9 th October 2009

2 Biography 1 st Degree – Social Policy PhD – Sociology Started using SPSS – 1994 (previously used Minitab) Employment: Civil Service/Universities/Local Authority Have taught use of SPSS to MBA students Trained as researcher – Not statistician! 1 st Degree – Social Policy PhD – Sociology Started using SPSS – 1994 (previously used Minitab) Employment: Civil Service/Universities/Local Authority Have taught use of SPSS to MBA students Trained as researcher – Not statistician!

3 Outline Context Problems Solutions Methods Results Analysis Future plans Context Problems Solutions Methods Results Analysis Future plans

4 Context KCC CFE Strategic Planning and Review Early Years and Childcare Operations Unit High level targets child poverty unemployment Local Targets childcare early education Childcare Act 2006 Childcare Sufficiency Assessments (published document) KCC CFE Strategic Planning and Review Early Years and Childcare Operations Unit High level targets child poverty unemployment Local Targets childcare early education Childcare Act 2006 Childcare Sufficiency Assessments (published document)

5 Problems Size/diversity of Kent Free market v command economy Access Quality Price (sustainability) Parental choice Size/diversity of Kent Free market v command economy Access Quality Price (sustainability) Parental choice

6 Solution Parents’ consultation Project (PCP) (later - CSA demand survey) Parents’ consultation Project (PCP) (later - CSA demand survey)

7 Methods Door-to-door interviews Two phases (Oct 2005 to March 2006 and November 2008 to March 2009) Selected wards/LSOAs (mixed reasons for inclusion) Structured survey form (hard copy/PDA) Mix of 23 closed and 1 open ended question Questions multi-layered (i.e. sample question – potentially 60 data entries) Door-to-door interviews Two phases (Oct 2005 to March 2006 and November 2008 to March 2009) Selected wards/LSOAs (mixed reasons for inclusion) Structured survey form (hard copy/PDA) Mix of 23 closed and 1 open ended question Questions multi-layered (i.e. sample question – potentially 60 data entries)

8 PCP wards/LSOAs

9 Results 60,000 households visited (in two phases) c 6,500 questionnaires completed (c 30% response rate) c 11,000 children covered 60,000 households visited (in two phases) c 6,500 questionnaires completed (c 30% response rate) c 11,000 children covered

10 Survey questionnaire – sample question

11 Analysis Survey data linked to MOSAIC data. Data mapped using GIS tools Survey data linked to MOSAIC data. Data mapped using GIS tools

12 Example Pelham ward (Gravesham district) 4 lower super output areas E top 30% most deprived 670 households MOSAIC range (ward and lsoa) MOSAIC average 27 (ward) MOSAIC average 30 (lsoa) Pelham ward (Gravesham district) 4 lower super output areas E top 30% most deprived 670 households MOSAIC range (ward and lsoa) MOSAIC average 27 (ward) MOSAIC average 30 (lsoa)

13

14 MOSAIC type 27

15 Households needing childcare

16 Analysis – childcare need

17 Analysis – age of children

18 Analysis – type of childcare wanted

Analysis – issues with using childcare IssueN% of responses% of cases Cost No job None available Need multiple places Accessibility Quality Hours of care Child's needs Want to keep children at home Children old enough to look after themselves Do not trust care Other No issues Totals

20 Analysis – BME groups use of childcare First child is in childcare Total NoYes Ethnicity of respondentWhite British 80.9%19.1%100.0% BME group 81.4%18.6%100.0% Total 80.9%19.1%100.0% Chi-Square Tests Valuedf Asymp. Sig. (2-sided) Exact Sig. (2- sided) Exact Sig. (1-sided) Pearson Chi-Square.037(b) Continuity Correction(a) Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases 3,399

Analysis – regression model Model summary ModelRR squareAdj RStd err of the est 1.591(b) Coefficients (a,b) ModelUnstandardisedStandardisedtSig BStd errBeta 1How well informed Emp status Tot no children

22 Analysis - flowchart

23 Future plans Further surveys Plan services Monitor Further surveys Plan services Monitor