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Imbens, Guido W.; Rubin, Donald B. – Cambridge University Press, 2015
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…
Descriptors: Causal Models, Statistical Inference, Statistics, Social Sciences
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Nichols, Sharon L.; Berliner, David C. – Harvard Education Press, 2007
Drawing on their extensive research, Nichols and Berliner document and categorize the ways that high-stakes testing threatens the purposes and ideals of the American education system. For more than a decade, the debate over high-stakes testing has dominated the field of education. This passionate and provocative book provides a fresh perspective…
Descriptors: High Stakes Tests, Social Influences, Scores, Test Bias