Vanderbilt University
Publishes on Child and Adolescent Psychosocial and Emotional Development, Evaluation and Performance Assessment, Criminal Justice and Corrections Analysis. 221 papers and 33.2k citations.
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Introduction Problem Specification and Study Retrieval Selecting, Computing and Coding the Effect Size Statistic Developing a Coding Scheme and Coding Study Reports Data Management Analysis Issues and Strategies Computational Techniques for Meta-Analysis Data Interpreting and Using Meta-Analysis Results
Relied on by over 90,000 readers as the text on how to design, implement, and appraise the utility of social programs through the use of evaluation methods, Evaluation, 7th Edition has been completely revised to include the latest techniques and approaches to evaluation as well as guidelines for how evaluations should be tailored to fit programs and social contexts. Plus, throughout this new edition, there is more focus on evaluation diagnostic procedures. New to this Edition: - The four chapters on impact assessment have been completely revised to give more attention to outcome measurement...
Conventional reviews of research on the efficacy of psychological, educational, and behavioral treatments often find considerable variation in outcome among studies and, as a consequence, fail to reach firm conclusions about the overall effectiveness of the interventions in question. In contrast meta-analytic reviews show a strong, dramatic pattern of positive overall effects that cannot readily be explained as artifacts of meta-analytic technique or generalized placebo effects. Moreover, the effects are not so small that they can be dismissed as lacking practical or clinical significance. Although meta-analysis has limitations, there are good reasons to believe that its results are more credible than those of conventional reviews and to conclude that well-developed psychological, educational, and behavioral treatment is generally efficacious.
PART ONE: STATISTICAL POWER IN TREATMENT EFFECTIVENESS RESEARCH Treatment Effectiveness Research and Design Sensitivity The Statistical Power Framework Effect Size The Problematic Parameter How to Estimate Statistical Power PART TWO: USEFUL APPROACHES AND TECHNIQUES Dependent Measures Design, Sample Size, and Alpha The Independent Variable and the Role of Theory Putting It All Together