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Direct linkGuo, Shenyang; Fraser, Mark W. – SAGE Publications Ltd (CA), 2014
Fully updated to reflect the most recent changes in the field, the Second Edition of "Propensity Score Analysis" provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong…
Descriptors: Probability, Scores, Statistical Analysis, Causal Models
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
