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Using the IEA IDB Analyzer II
Andrés Sandoval-Hernández – IEA DPC
Workshop on using PISA, PIAAC, TIMSS & PIRLS, TALIS datasets
Ispra, Italy-
June 24-27, 20142
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1 part patience
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1 part know-how
…and the IEA IDB Analyzer!
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Table of contents
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Percentages and means with PISA
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Without PV’s
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With PV’s
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Immigration status and wealth
What is the percentage of native, first generation, and
second generation immigrant students and the mean of the
wealth index associated to each category?
IMMIG WEALTH
Variables of interest Native
First Generation Second Generation
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What Do we Need to Do?
Analysis for IMMIG
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Start the IDB Analyzer Analysis module using PISA_Merged.sav
under C:\EU_Workshop\Work
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Countries in the merged data file:
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Austria
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Denmark
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Netherlands
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Slovak Republic
–
Spain
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Analysis: Percentages and Means (PISA)
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Analysis File:
C:\EU_Workshop\Work\PISA_Merged.sav
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Analysis Type:
PISA age 15 (Using Student Weights)
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Statistic Type: Percentages and Means
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Plausible Value Option: None used
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Grouping Variable CNT, IMMIG
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Analysis Variable: WEALTH
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IDB Analyzer: Percentages and Means
WEALTH W_FSTUWT Percentages and Means
Exclude Missing from Analysis
C:\EU_Workshop\Work\PISA_Merged.sav
C:\EU_Workshop\Work\Immig.*
CNT IMMIG PISA age 15 (Using Student Weights)
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Outcome
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As a result IDB Analyzer creates the following in the working
directory (C:\EU_Workshop\Work):
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SPSS Syntax file – contains the syntax with the commands
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SPSS Data file – contains statistics from the analysis
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SPSS: Excel Output
Number of students List of countries Analysis variable used WEALTHFinal student weight – contains estimates in
the population that belong to the groups
defined by the
classification variables (CNT, IMMIG)
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SPSS: Excel Output
Weighted percentage of students for the groups defined by the
classification variables (CNT, IMMIG)
Standard error of the percentages
13 Standard deviation of the analysis variable
SPSS: Excel Output
Mean of the analysis variable Standard error of the mean of the analysis variable14
SPSS: Excel Output
Standard error of the standard deviation
Percent of cases
within the group with missing values for the analysis variable
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Table of contents
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Percentages and means with PISA
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Without PV’s
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With PV’s
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Immigration status and math achievement
What is the percentage of native, first generation, and
second generation immigrant students and the mean
achievement in math associated to each category?
IMMIG
PV1MATH01-05
Variables of interest
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What Do we Need to Do?
Analysis for IMMIG
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Start the IDB Analyzer Analysis module using PISA_Merged.sav
under C:\EU_Workshop\Work
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Countries in the merged data file:
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Austria
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Denmark
–
Netherlands
–
Slovak Republic
–
Spain
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Analysis: Percentages and Means with PV’s (PISA)
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Analysis File:
C:\EU_Workshop\Work\PISA_Merged.sav
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Analysis Type:
PISA age 15 (Using Student Weights)
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Statistic Type: Percentages and Means
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Plausible Value Option: Use PVs
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Grouping Variable CNT, IMMIG
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Plausible Value: PV1MATH01-05
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Weighting variable: W_FSTUWT
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IDB Analyzer: Percentages and Means with PV’s
PVMATH01-05 W_FSTUWT Percentages and Means
Use PV‘s
Exclude Missing from Analysis
C:\EU_Workshop\Work\PISA_Merged.sav
C:\EU_Workshop\Work\Immig_math.*
CNT IMMIG PISA age 15 (Using Student Weights)
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Outcome
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As a result IDB Analyzer creates the following in the working
directory (C:\EU_Workshop\Work):
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SPSS Syntax file – contains the syntax with the commands
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SPSS Data file – contains statistics from the analysis
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SPSS: Excel Output
Number of cases List of countries Analysis variable used PVMATHFinal student weight – contains estimates in
the population that belong to the groups
defined by the
classification variables (CNT, IMMIG)
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SPSS: Excel Output
Weighted percentage of students for the groups defined by the
classification variables (CNT, IMMIG)
Standard error of the percentages
25 Standard deviation of the analysis variable
SPSS: Excel Output
Mean of the analysis variable Standard error of the mean of the analysis variable26
Table of contents
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Percentages and means with PISA
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Without PV’s
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With PV’s
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Standards in evaluations for assessing student
progress
How frequently do teachers work together with other
teachers at the same school to ensure common standards
in evaluations for assessing student progress?
TT2G33F
Teacher Questionnaire, Q33-F, p. 19 Variable of
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What Do we Need to Do?
Analysis for TT2G33F
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Start the IDB Analyzer Analysis module using TALIS_Merged
under C:\EU_Workshop\Work
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Countries in the merged data file:
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Denmark
–
Netherlands
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Italy
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Slovak Republic
–
Spain
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Analysis: Percentages only (TALIS)
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Analysis File:
C:\EU_Workshop\Work\TALIS_Merged.sav
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Analysis Type: TALIS 2013 Single Level Population (Using Teacher
Weights)
TALIS 2013 Single Level/Population (Using Teacher Weights)
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Statistic Type: Percentages only
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IDB Analyzer: Percentages only
IDCNTRY TT2G33F TCHWGT Percentages only
Exclude Missing from Analysis
C:\EU_Workshop\Work\TALIS_Merged.sav
C:\EU_Workshop\Work\A1WorksWithTeachers.*
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SPSS: Run the analysis
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As a result IDB Analyzer creates SPSS Syntax and starts SPSS
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In SPSS Syntax, highlight all and click on the Run button
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Outcome
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As a result IDB Analyzer creates the following in the working
directory (C:\EU_Workshop\Work):
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SPSS Syntax file – contains the syntax with the commands
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SPSS Data file – contains statistics from the analysis
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SPSS: Excel Output
Number of teachers in each group List of35
SPSS: Excel Output
Total teacher weight – contains estimates in the population that belong to the group defined by the classification variables
(IDCNTRY, TT2G33F)
Weighted percentage of teachers for the groups defined by the
classification variables (IDCNTRY, TT2G33F)
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SPSS: Excel Output
Standarderror of
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