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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, 2014

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1 part patience

1 part know-how

…and the IEA IDB Analyzer!

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Table of contents

Percentages and means with PISA

Without PV’s

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

Start the IDB Analyzer Analysis module using PISA_Merged.sav

under C:\EU_Workshop\Work

Countries in the merged data file:

Austria

Denmark

Netherlands

Slovak Republic

Spain

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Analysis: Percentages and Means (PISA)

Analysis File:

C:\EU_Workshop\Work\PISA_Merged.sav

Analysis Type:

PISA age 15 (Using Student Weights)

Statistic Type: Percentages and Means

Plausible Value Option: None used

Grouping Variable CNT, IMMIG

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

As a result IDB Analyzer creates the following in the working

directory (C:\EU_Workshop\Work):

SPSS Syntax file – contains the syntax with the commands

SPSS Data file – contains statistics from the analysis

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SPSS: Excel Output

Number of students List of countries Analysis variable used WEALTH

Final 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

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13 Standard deviation of the analysis variable

SPSS: Excel Output

Mean of the analysis variable Standard error of the mean of the analysis variable

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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

Percentages and means with PISA

Without PV’s

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

Start the IDB Analyzer Analysis module using PISA_Merged.sav

under C:\EU_Workshop\Work

Countries in the merged data file:

Austria

Denmark

Netherlands

Slovak Republic

Spain

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Analysis: Percentages and Means with PV’s (PISA)

Analysis File:

C:\EU_Workshop\Work\PISA_Merged.sav

Analysis Type:

PISA age 15 (Using Student Weights)

Statistic Type: Percentages and Means

Plausible Value Option: Use PVs

Grouping Variable CNT, IMMIG

Plausible Value: PV1MATH01-05

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

As a result IDB Analyzer creates the following in the working

directory (C:\EU_Workshop\Work):

SPSS Syntax file – contains the syntax with the commands

SPSS Data file – contains statistics from the analysis

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SPSS: Excel Output

Number of cases List of countries Analysis variable used PVMATH

Final 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

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25 Standard deviation of the analysis variable

SPSS: Excel Output

Mean of the analysis variable Standard error of the mean of the analysis variable

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Table of contents

Percentages and means with PISA

Without PV’s

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

Start the IDB Analyzer Analysis module using TALIS_Merged

under C:\EU_Workshop\Work

Countries in the merged data file:

Denmark

Netherlands

Italy

Slovak Republic

Spain

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Analysis: Percentages only (TALIS)

Analysis File:

C:\EU_Workshop\Work\TALIS_Merged.sav

Analysis Type: TALIS 2013 Single Level Population (Using Teacher

Weights)

TALIS 2013 Single Level/Population (Using Teacher Weights)

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

As a result IDB Analyzer creates SPSS Syntax and starts SPSS

In SPSS Syntax, highlight all and click on the Run button

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Outcome

As a result IDB Analyzer creates the following in the working

directory (C:\EU_Workshop\Work):

SPSS Syntax file – contains the syntax with the commands

SPSS Data file – contains statistics from the analysis

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SPSS: Excel Output

Number of teachers in each group List of

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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

Standard

error of

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Any Questions?

References

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