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To continue to move the science of clinical psychology forward, this handbook brings together some of the field's foremost experts to explicate the essential research strategies currently used across the modern clinical psychology landscape that maximize both precision and significance. This volume addresses design, measurement, and analytic strategies for clinical psychology, including comprehensive coverage of effective laboratory methods in experimental psychopathology, single-case experimental designs, small pilot trials, the randomized controlled trial, adaptive and modular treatment designs, and dissemination methods and models. Comprehensive chapters cover change measurement, observational coding, measurement of process variables across treatment, structural and functional brain imagining, and experience sampling data collection methods. Specific topics addressed include statistical power, correlation and regression, randomized clinical trial data analysis, conventions in mediation and moderation analysis, structural equation modeling, meta-analytic techniques, item-response theory, and the appropriate handling of missing data. The book concludes with an integrative summary of research strategies addressed across the volume, and guidelines for future directions in research methodology, design, and analysis that will keep this young science moving forward in a manner that maximizes scientific rigor and clinical relevance.
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