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Psychometric Framework for Modeling Parental Involvement and Reading Literacy [electronic resource] / by Annemiek Punter, Cees A. W. Glas, Martina R. M. Meelissen.

By: Punter, Annemiek [author.].
Contributor(s): Glas, Cees A. W [author.] | Meelissen, Martina R. M [author.] | SpringerLink (Online service).
Material type: TextTextSeries: IEA Research for Education, A Series of In-depth Analyses Based on Data of the International Association for the Evaluation of Educational Achievement (IEA): 1Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XI, 97 p. 1 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319280646.Subject(s): Education | Assessment | Child development | Literacy | Statistics | Education | Assessment, Testing and Evaluation | Literacy | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Childhood EducationAdditional physical formats: Printed edition:: No titleDDC classification: 371.26 Online resources: Click here to access online
Contents:
1. Introduction -- 2. Literature Review -- 3. Parental Involvement in PIRLS-2011 -- 4. Modeling Parental Involvement -- 5. Relation between Parental Involvement and Student Achievement in PIRLS-2011 -- 6. Conclusion and Discussion -- References -- Appendix: Technical details on the implementation of the bi-factor model.
In: Springer eBooksSummary: This volume offers insights from modelling measures of parental involvement and their relationship with student reading literacy across countries, exploring and incorporating cultural differences. This is a significant contribution to a field where cross-cultural comparisons from a triangulated perspective are sparse. For readers interested in exploring the relationship between parental involvement and student attainment, the literature review provides a useful starting point. Meanwhile, for the more methodologically interested reader, this report presents state-of-the-art ways to identify and model cultural differential item functioning in international large-scale assessment (ILSA), illustrating the extent to which the parental involvement construct may be influenced by cultural differences and how this may affect the outcomes of cross-cultural comparisons. The framework is generic and should provide a solid foundation for future ILSA practices and secondary analyses. ILSA studies like the IEA’s Progress in International Reading Literacy Study (PIRLS) provide valuable data, containing both student achievement data and contextual background data from schools, teachers, students and parents for over 41 countries.
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1. Introduction -- 2. Literature Review -- 3. Parental Involvement in PIRLS-2011 -- 4. Modeling Parental Involvement -- 5. Relation between Parental Involvement and Student Achievement in PIRLS-2011 -- 6. Conclusion and Discussion -- References -- Appendix: Technical details on the implementation of the bi-factor model.

Open Access

This volume offers insights from modelling measures of parental involvement and their relationship with student reading literacy across countries, exploring and incorporating cultural differences. This is a significant contribution to a field where cross-cultural comparisons from a triangulated perspective are sparse. For readers interested in exploring the relationship between parental involvement and student attainment, the literature review provides a useful starting point. Meanwhile, for the more methodologically interested reader, this report presents state-of-the-art ways to identify and model cultural differential item functioning in international large-scale assessment (ILSA), illustrating the extent to which the parental involvement construct may be influenced by cultural differences and how this may affect the outcomes of cross-cultural comparisons. The framework is generic and should provide a solid foundation for future ILSA practices and secondary analyses. ILSA studies like the IEA’s Progress in International Reading Literacy Study (PIRLS) provide valuable data, containing both student achievement data and contextual background data from schools, teachers, students and parents for over 41 countries.