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Porter, Kristin E. – Journal of Research on Educational Effectiveness, 2018
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Porter, Kristin E. – Grantee Submission, 2017
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Porter, Kristin E. – MDRC, 2016
In education research and in many other fields, researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
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

Willson, Victor L. – Educational and Psychological Measurement, 1980
Guilford's average interrater correlation coefficient is shown to be related to the Friedman Rank Sum statistic. Under the null hypothesis of zero correlation, the resultant distribution is known and the hypothesis can be tested. Large sample and tied score cases are also considered. An example from Guilford (1954) is presented. (Author)
Descriptors: Correlation, Hypothesis Testing, Mathematical Formulas, Reliability
McIntire, Sandra A.; Miller, Leslie A. – SAGE Publications (CA), 2006
The second edition of "Foundations of Psychological Testing: A Practical Approach" is a text for undergraduate students new to the field of psychological testing. Using a conversational format, the authors aim to prepare students to be informed consumers as test users or test takers. Features new to the second edition include: (1) New Content; (2)…
Descriptors: Undergraduate Students, Psychological Testing, Learning Strategies, Content Validity
Creighton, Theodore B. – 2001
This book focuses on the relevance of statistics in the day-to-day lives of principals and teachers. The step-by-step guide to using existing school data can help school leaders make more appropriate and effective decisions. The information is presented with easy-to-follow instructions, illustrations, and pertinent examples. The chapters are: (1)…
Descriptors: Analysis of Variance, Correlation, Data Analysis, Data Collection