A textbook for undergrad & grad students in psychology & other fields of social science, it will introduce students to the main quantitative concepts, methods, & computational techniques needed for the development, evaluation, & application of tests.
A textbook for undergrad & grad students in psychology & other fields of social science, it will introduce students to the main quantitative concepts, methods, & computational techniques needed for the development, evaluation, & application of tests.
Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.
Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.
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