Leading social research methodologists and evaluators address the issues of research design in this second of two volumes inspired by the work on Donald Campbell and sponsored by the American Evaluation Association. The book considers issues such as: quasi-experimentation; the proposed conduct of social inquiry; ways to take account of threats to validity; plausible rival hypotheses in measurement and design; subject selection and loss in randomized experiments; the use of evaluation to assess the validity of computer simulations; method variance; and time series experiments. Applied researchers who want to improve their research designs will find this book a compelling and thought-provoking read.
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Leonard Bickman, Ph.D., is Professor of Psychology, Psychiatry and Public Policy. He is director of the Center for Evaluation and Program Improvement and Associate Dean for Research at Peabody College. He earned his Ph.D. in psychology (social) from the City University of New York, his master′s degree in experimental psychopathology from Columbia University and his bachelor′s from the City College of New York. Professor Bickman is a nationally recognized leader in program evaluation and mental healthservices research on children and adolescents. He has published more than 15 books and monographs and 180 articles and chapters and has been principal investigator on over 25 major grants from several agencies. He is co-editor of the Applied Research Methods Series published by Sage Publications since 1980. He is also co-editor of the Handbook of Applied Social Research and is collaborating on a new International Handbook of Social Research. He is the co-author of the very popular book Applied Research Design: A Practical Guide.
Leading social research methodologists and evaluators address the issues of research design in this second of two volumes inspired by the work on Donald Campbell and sponsored by the American Evaluation Association. The book considers issues such as: quasi-experimentation; the proposed conduct of social inquiry; ways to take account of threats to validity; plausible rival hypotheses in measurement and design; subject selection and loss in randomized experiments; the use of evaluation to assess the validity of computer simulations; method variance; and time series experiments. Applied researchers who want to improve their research designs will find this book a compelling and thought-provoking read.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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