Measurement theory and applications for social sciences Deborah Bandalos (author)
Material type:
TextSeries: Methodology in the social sciencesPublisher: New York : Guilford Press, 2018Description: xxiii, 661 pages : 27 cm. illustrationsISBN: 9781462532131Subject(s): 1. Social sciences -- statistical methods | 2. Social Sciences -- MethodologyLOC classification: HA 29 B356 2018Summary: Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material.
| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
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Philippine Christian University Manila | Graduate School | HA 29 B356 2018 (Browse shelf) | 1 | Available | 51882 |
Includes bibliographical references and index..
Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material.
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