This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses. In addition to the inclusion of the necessary techniques, the manual also includes a detailed account of the PISA 2006 database and worked examples providing full syntax in SPSS®.
The OECD Programme for International Student Assessment (PISA) surveys collected data on students’ performances in reading, mathematics and science, as well as contextual information on students’ background, home characteristics and school factors which could influence performance.
Table of Contents:
The Usefulness of PISA Data for Policy Makers, Researchers and Experts on Methodology
Exploratory Analysis Procedures
Sample Weights
Replicate Weights
The Rasch Model
Plausible Values
Computation of Standard Errors
Analyses with Plausible Values
Use of Proficiency Levels
Analyses with School-Level Variables
Standard Error on a Difference
OECD Total and OECD Average
Trends
Studying the Relationship between Student Performance and Indices Derived from Contextual Questionnaires
Multilevel Analyses
PISA and Policy Relevance – Three Examples of Analyses
SPSS® Macro
Appendices
Author(s): Vijay Gupta
Edition: illustrated edition
Publisher: 1stBooks Library
Year: 1999
Language: English
Pages: 429
Tags: Библиотека;Компьютерная литература;SPSS;