Handbook of Ethics in Quantitative Methodology (eBook, PDF)

Redaktion: Panter, A. T.

• Format: PDF

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 540
• Erscheinungstermin: 1. März 2011
• Englisch
• ISBN-13: 9781136888731
• Artikelnr.: 38278357

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.

Inhaltsangabe

Ethics in Quantitative Methodology: An Introduction. Part 1: Developing an
Ethical Framework for Methodologists. Ethics in Quantitative Professional
Practice. Ethical Principles in Data Analysis: An Overview. Part 2:
Teaching Quantitative Ethics. A Statistical Guide for the Ethically
Perplexed. Part 3: Ethics and Research Design Issues. Measurement Choices:
Reliability, Validity, and Generalizability. Ethics and Sample Size
Planning. Ethics and the Conduct of Randomized Experiments and
Quasi-Experiments in Field Settings. Psychometric Methods and High-Stakes
Assessment: Contexts and Methods for Ethical Testing Practice. Ethics in
Program Evaluation. Part 4: Ethics and Data Analysis Issues. Beyond
Treating Complex Sampling Designs as Simple Random Samples: Data Analysis
and Reporting. From Hypothesis Testing to Parameter Estimation: An Example
of Evidence-Based Practice in Statistics. Some Ethical Issues in Factor
Analysis. Ethical Aspects of Multilevel Modeling. The Impact of Missing
Data on the Ethical Quality of a Research Study. The Science and Ethics of
Causal Modeling. Part 5: Ethics and Communicating Findings. Ethical Issues
in the Conduct and Reporting of Meta-Analysis. Ethics and Statistical
Reform: Lessons from Medicine. Ethical Issues in Professional Research,
Writing, and Publishing.