1. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Using the IEA IDB Analyzer Correlations & Regression

2. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear Regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

3. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear Regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

4. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Choose variable(s) to be analyzed Load the SPSS Analysis File Choose Correlations as analysis type (some settings will be done automatically with respect to the datafile and the analysis method chosen) Select Variables from the datafile to be analyzed as Analysis Variables Define location and name of the Output Files Start SPSS and run analysis Calculating Correlations

5. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Student Questionnaire, Q14A-F, p. 13 Variables of Interest: PARTCOM PVCIV01-05 Select Variable of Interest

6. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid The analysis file needs to be loaded from the respective directory Countries in the example analysis file: –Austria –Belgium (Flemish) –Bulgaria –Denmark –England –Estonia –Finland The Analysis File

7. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Select Analysis File: C:\ICCS2009\Work\ICG_ISG_INTC2.sav Select Analysis Type: Correlations Select Analysis Variables: PARTCOM(Students’ civic participation in the wider community) Select Achievement Variables: PVICIV01-05 (Table 5.09 from ICCS2009 International report, first column) Correlations - Preparation

8. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Select Analysis File C:\ICCS2009\Work\ICG_ISG_INTC2.sav Correlations - Details

9. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details 1) Select Correlations 2) Check Exclude Missing from Analysis 3) Check With Achievement Scores

10. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details TOTWGTS JKZONES IDCNTRY

11. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details Search for PARTCOM

12. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details Search results will be displayed

13. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details Highlight variable Use arrow key to add variable to analysis

14. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details

15. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Highlight variable Use arrow key to add variable to analysis Correlations - Details

16. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details Define path and filename for output: “C:\ICCS2009\Work\Table_5_09.*” Change number of decimals to “1”

17. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Details The IDB Analyzer creates SPSS Syntax and starts SPSS In SPSS Syntax Editor Choose: Run > All

18. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations - Outcome As a result the IDB Analyzer creates the following in the working directory (C:\ICCS2009\Work\): –SPSS Syntax file – contains the syntax with the commands (*.sps) –SPSS Data file – contains statistics from the analysis (*.sav) –MS Excel Output file – contains statistics from the analysis (*.xls)

19. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – SPSS Output

20. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output

21. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output List of Countries Achievement Scores Sum of Weights Mean Achievement S.E. of Mean Achievement

22. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output Standard Deviation of Mean Achievement S.E. of Standard Deviation of Mean Achievement Correlation of PV with itself S.E. of Correlation

23. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output Variable Name of Second Variable Mean of Variable (here: Country Mean) S.E. of Mean of Variable Standard Deviation of Mean of Variable S.E. of Standard Deviation of Mean of Variable

24. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output Correlation of variable 1 with variable 2 (here: Achievement with Participation in Community) S.E. of Correlation

25. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Correlations – Excel Output

26. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear Regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

27. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear Regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

28. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Linear Regression Model

29. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Linear Regression Model y is the dependent variable – here: estimated mean of all 5 plausible values x is the independent variable ß 0 is the intercept (value of y when x is zero) ß 1 is the slope (change in y for each unit increase in x) 10 ββ   x y

30. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Can be used to calculate regression coefficients and their (jackknifed) standard errors for the ICCS background variables Uses the jackknifing procedure and therefore considers the sampling method used in ICCS Makes use of the variables JKZONE and JKREP Computing Regression

31. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Choose variable to be analyzed Load the SPSS Analysis File Choose Regression as analysis type (some settings will be done automatically) Select Variables from the datafile to be analyzed as Analysis Variable AND/OR Select the plausible values as Achievement Scores Define location and name of the Output Files Start SPSS and run analysis Computing Regression

32. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Recoding variables Some tables might display data differently than in the data files E.g., table 7.1 has been calculated using dummy recoded information of the students‘ immigration background (variable name in the datafile is IMMIG) For replication of the table, the information from the variable IMMIG needs to be recoded in SPSS and added as a new variable to the datafile before running the analysis

33. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Native 1st Generation Immigrant Non-Native IMMIG 123 Reg01IMMIG 011 Dummy Coding for Regression IMMIG  Reg01IMMIG

34. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Dummy Coding for Regression IMMIG values: System Missing 0 1 1

35. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Menu: TRANSFORM  Recode into Different Variables... SPSS: Dummy Coding for Regression

36. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid SPSS: Dummy Coding for Regression 1  0 2  1 3  1 ELSE  SYSMISS Menu: TRANSFORM  Recode into Different Variables...

37. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid 10 ββ   x y Linear Regression Model Predictor variable: Reg01IMMIG Mean achievement for native students Difference between mean achieve- ment of native and mean achieve- ment of non-native students

38. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid The analysis file needs to be loaded from the respective directory Countries in the example analysis file: –Austria –Belgium (Flemish) –Bulgaria –Denmark –England –Estonia –Finland The Analysis File

39. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Computing Regression Select data file: C:\ICCS2009\Work\ICG_ISG_INTC2_Reg.sav Analysis Type: Regression Grouping Variable: IDCNTRY Analysis Variable: Reg01IMMIG Achievement Scores: PVICIV01-05 (Table 7.1, first column from ICCS2009 International report)

40. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid IDCNTRY TOTWGTS JKZONES C:\ICCS2009\Work\ICG_ISG_INTC2.savChange the number of decimals to 2 C:\ICCS2009\Work\Table_7_1.* Reg01IMMIG PVICIV01-05 1) Select Regression 2) Check Exclude Missing from Analysis 3) Check With Achievement Scores Regression - Details

41. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression - Details The IDB Analyzer creates SPSS Syntax and starts SPSS In SPSS Syntax Editor Choose: Run > All

42. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression - Outcome As a result IDB Analyzer creates the following in the working directory (C:\ICCS2009\Work): –SPSS Syntax file – contains the syntax with the commands –SPSS Data file – contains statistics from the analysis –MS Excel Output file – contains statistics from the analysis

43. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output Number of Cases Multiple R-Squared Intercept: Mean Achievement of Native Students S.E. of Intercept

44. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output Estimate of Regression Coefficient S.E. of Regression Coefficient T-Statistics of Regression Coefficient

45. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output In Bulgaria the difference in civic knowledge between native students and non-native students is NOT significant. ABS (-1.3) < 1.96

46. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output In Austria the difference in civic knowledge between native students and non-native students IS significant. ABS (-8.9) > 1.96

47. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output Differences in Draft Table 7.1 of Int. Report are incorrect

48. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Regression – SPSS Output 56,6 516,2   x y Predictor variable: Reg01IMMIG Mean achievement for native students Difference between mean achieve- ment of native and mean achieve- ment of non-native students

49. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Any Questions? Thank you for your attention!

50. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

51. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Table of content Correlations –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Regression –Linear regression Model –Settings for the Analysis –Running the Analysis –Compare SPSS Output and International Report –Output in MS Excel Hands-On Training

52. ICCS 2009 IDB Workshop, 18 th February 2010, Madrid Hands-On Training A.Re-produce the example using your country data - Correlation of students’ participation in the wider community with civic and citizenship achievement (PVCIV01-05 with PARTCOM) and/or B.Re-produce the example using your country data - Regression of students’ immigration status on civic and citizenship achievement of (IMMIG [recoded] on PVCIV01-05) and/or C.Practice with own selected variables following these analysis steps