Measurement Error and Research Design
Most books on measurement present a statistical orientation or an orientation toward measurement theory. Although these approaches are valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances understanding of measurement error, its sources, and its effects on responses. This book’s purpose is to enhance the design of research, both of measures and of methods. An author maintained website, http://www.business.uiuc.edu/~madhuv/msmt.html features datasets and suggestions for using the book in courses.
What people are saying - Write a review
We haven't found any reviews in the usual places.
What Is Measurement Error?
What Causes Measurement Error?
Can Empirical Procedures Pinpoint
How Can Measurement Error Be Identified
Generic Issues in Designing Psychometric Tests
How Can Error Be Identified
How Do Measures Differ?
What Are Examples of Measures
abstract across-measure systematic error additive systematic error approach assess attributes Bagozzi behavior capture Chapter coefficient alpha conceptual confirmatory factor analysis construct being measured construct validity consumers content validity convergent validity correlational systematic error covary deleted dependent variables dimensionality dimensions discriminant validity discussed domain empirical example Figure Fit Index halo effect hypotheses idiosyncratic random error internal consistency internal validity involves issues item-level item-to-total correlations lead manipulation measure development measurement error method factor multiple nomological validity number of items numerical information Nunnally operationalizations PNI scale preference for numerical psychometric qualitative research quality scale quantitative ratings relationships reliability and validity research design research method response categories sample self-report sequencing set of items social desirability sources specific stimuli structural equation modeling systematic error due test-retest correlations test-retest reliability tions trait true score types of error usage conditions validity tests variance versus within-measure correlational systematic wording