iccs 2009 idb workshop, 18 th february 2010, madrid using the iea idb analyzer correlations &...
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ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Using the IEA IDB Analyzer Correlations & Regression
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Choose variable(s) to be analyzed Load the SPSS Analysis FileChoose 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 VariablesDefine location and name of the Output FilesStart SPSS and run analysis
Calculating Correlations
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Student Questionnaire, Q14A-F, p. 13
Variables of Interest: PARTCOM PVCIV01-05
Select Variable of Interest
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
The analysis file needs to be loaded from the respective directoryCountries in the example analysis file:– Austria– Belgium (Flemish)– Bulgaria– Denmark– England– Estonia– Finland
The Analysis File
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Select Analysis FileC:\ICCS2009\Work\ICG_ISG_INTC2.sav
Correlations - Details
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
1) Select Correlations 2) Check Exclude Missing from Analysis 3) Check With Achievement Scores
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
TOTWGTS
JKZONES
IDCNTRY
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
Search for PARTCOM
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
Search results will be displayed
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
Highlight variable
Use arrow key to add variable to
analysis
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Highlight variable
Use arrow key to add variable to
analysis
Correlations - Details
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
Define path and filename for output:
“C:\ICCS2009\Work\Table_5_09.*”
Change number of decimals to “1”
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations - Details
The IDB Analyzer creates SPSS Syntax and starts SPSSIn SPSS Syntax Editor Choose: Run > All
ICCS 2009 IDB Workshop, 18th 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)
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations – SPSS Output
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations – Excel Output
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations – Excel Output
List of Countri
es
Achievement Scores
Sum of Weight
s
Mean Achievemen
t
S.E. of Mean Achievemen
t
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations – Excel Output
Correlation of variable 1 with variable 2(here: Achievement with Participation in
Community)
S.E. of Correlation
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Correlations – Excel Output
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Linear Regression Model
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Linear Regression Model
y is the dependent variable – here: estimated mean of all 5 plausible valuesx is the independent variableß0 is the intercept (value of y when x is zero)ß1 is the slope (change in y for each unit increase in x)
10 ββ ×+= xy
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Can be used to calculate regression coefficients and their (jackknifed) standard errors for the ICCS background variablesUses the jackknifing procedure and therefore considers the sampling method used in ICCSMakes use of the variables JKZONE and JKREP
Computing Regression
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Choose variable to be analyzed Load the SPSS Analysis FileChoose 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 ScoresDefine location and name of the Output FilesStart SPSS and run analysis
Computing Regression
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Recoding variables
Some tables might display data differently than in the data filesE.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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Native1st
Generation Immigrant
Non-Native
IMMIG 1 2 3
Reg01IMMIG 0 1 1
Dummy Coding for Regression
IMMIG Reg01IMMIG
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Dummy Coding for Regression
IMMIG values:
System Missing
0
11
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Menu: TRANSFORM Recode into Different Variables...
SPSS: Dummy Coding for Regression
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
SPSS: Dummy Coding for Regression
1 02 13 1ELSE SYSMISS
Menu: TRANSFORM Recode into Different Variables...
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
10 ββ ×+= xy
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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
The analysis file needs to be loaded from the respective directoryCountries in the example analysis file:– Austria– Belgium (Flemish)– Bulgaria– Denmark– England– Estonia– Finland
The Analysis File
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Computing Regression
Select data file:C:\ICCS2009\Work\
ICG_ISG_INTC2_Reg.savAnalysis Type:
RegressionGrouping Variable:
IDCNTRYAnalysis Variable:
Reg01IMMIGAchievement Scores:
PVICIV01-05 (Table 7.1, first column from ICCS2009 International report)
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
IDCNTRY
TOTWGTS
JKZONES
C:\ICCS2009\Work\ICG_ISG_INTC2.sav
Change the number of
decimals to 2
C:\ICCS2009\Work\Table_7_1.*
Reg01IMMIG
PVICIV01-05
1) Select Regression2) Check Exclude Missing from Analysis3) Check With Achievement Scores
Regression - Details
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Regression - Details
The IDB Analyzer creates SPSS Syntax and starts SPSSIn SPSS Syntax Editor Choose: Run > All
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Regression – SPSS Output
Number of Cases
Multiple R-Squared
Intercept: Mean
Achievement of Native Students
S.E. of Intercept
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Regression – SPSS Output
Estimate of Regression Coefficient
S.E. of Regression Coefficient
T-Statistics of
Regression Coefficient
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Regression – SPSS Output
Differences in Draft Table 7.1 of Int.
Report are incorrect
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Regression – SPSS Output
56,6516,2 ×-= xy
Predictor variable: Reg01IMMIG
Mean achievement for native students
Difference between mean achieve-ment of native and mean achieve-ment of non-
native students
ICCS 2009 IDB Workshop, 18th February 2010, Madrid
Any Questions?
Thank you for your attention!
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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
ICCS 2009 IDB Workshop, 18th 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/orB. 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
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