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This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices.

Produktbeschreibung
This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices.
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Autorenporträt
A.T. Panter is the Bowman and Gordon Gray Distinguished Professor of Psychology at the L. L. Thurstone Psychometric Laboratory at University of North Carolina, Chapel Hill. She develops instruments, research designs, and data-analytic strategies for applied research questions in health and education. Her publications are in survey methodology, measurement and testing, advanced quantitative methods, program evaluation, and individual differences. She has received numerous teaching awards including APA's Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring. She has significant national service in disability assessment, testing in higher education, women in science, and the advancement of quantitative psychology. Sonya K. Sterba is an Assistant Professor in the Quantitative Psychology Program at Vanderbilt University. She received her Ph.D. in Quantitative Psychology and her M.A. in Child Clinical Psychology from the University of North Carolina at Chapel Hill. Her research evaluates how traditional structural equation and multilevel models can be adapted to handle methodological issues that arise in developmental psychopathology research.