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Molding TIMSS Data: Botswana Data as an Example

 

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  • Product Description
 

Modeling of TIMSS data: This study will be of great use to many Behavioral and Social researchers including graduate students who use quantitative methods to analyze nested (or multilevel data). A two-level hierarchical linear modeling technique is employed. Missing data issues are discussed. In particular, a comparison is made between the results obtained when treating missing data at level-2 using listwise deletion and by substitution using expected maximization. Briefly,the study offers a holistic examination of mathematics learning in schools taking Botswana as an example using data from IEA''s Trends in International Mathematics and Science Study (TIMSS) of 2003. The analyzed sample was comprised of 4,805 students in 136 schools. Part of the theoretical framework for variable selection was based on six factors from the Rand model. The six factors were student background and attitude (at the individual- level) and school-quality, teacher-attribute, and instructional-quality (at the school-level), with mathematics achievement as the outcome factor.

Product Specifications
SKU :COC37315
AuthorPoloko Chepete
LanguageEnglish
BindingPaperback
Number of Pages204
Publishing Year1/21/2010
ISBN978-3838340043
Edition1 st
Book TypeOrganization & management of education
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-31 00:00:00