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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis

Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis

Stemmler, Mark
Wiedermann, Wolfgang
Huang, Francis L.

Hardcover

General PsychologyGeneral SociologyProbability & Statistics

ISBN10: 3031563174
ISBN13: 9783031563171
Publisher: Springer
Published: Oct 22 2024
Pages: 786
Weight: 2.86
Height: 1.69 Width: 6.14 Depth: 9.21
Language: English

This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). It presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom.

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General Sociology

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