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Informationen zum Autor Edited by Alan E. Kazdin Klappentext This fourth edition of Alan E. Kazdin's classic text will! like its predecessors! help students and professionals alike master a wide range of methodological approaches to examining clinical issues and phenomena. The goal is to help the reader design! conduct! recognise! and appreciate high quality research! and recognise the implications of crucial decisions about methodology and design. Zusammenfassung This fourth edition of Alan E. Kazdin's classic text will, like its predecessors, help students and professionals alike master a wide range of methodological approaches to examining clinical issues and phenomena. The goal is to help the reader design, conduct, recognise, and appreciate high quality research, and recognise the implications of crucial decisions about methodology and design. Inhaltsverzeichnis Contributors PrefacePart I. Introduction: Overview and Background Chapter 1. Methodology: What It Is and Why It Is So ImportantAlan E. KazdinPart II. Beginning the Research ProcessResearch Ideas Chapter 2. Beginning the Research Process: Key Concepts That Can Guide a StudyAlan E. Kazdin Chapter 3. Getting Out of Our Conceptual Ruts: Strategies for Expanding Conceptual FrameworksAllan W. Wicker Chapter 4. Translational ResearchMichael T. Bardo and Mary Ann PentzFoci of Research Chapter 5. In Defense of External InvalidityDouglas G. Mook Chapter 6. When Small Effects Are ImpressiveDeborah A. Prentice and Dale T. MillerPart III. Sampling and Assigning Participants to ConditionsSamples and Selection of Participants Chapter 7. Most People Are Not WEIRDJoseph Henrich, Steven J. Heine, and Ara Norenzayan Chapter 8. The Neglected 95%: Why American Psychology Needs to Become Less AmericanJeffrey J. Arnett Chapter 9. Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?Michael Buhrmester, Tracy Kwang, and Samuel D. GoslingRandomization and Group Equivalence Chapter 10. Random Sampling, Randomization, and Equivalence of Contrasted Groups in Psychotherapy Outcome ResearchLouis M. HsuResearch Design Options Chapter 11. Experimental and Observational Designs: An OverviewAlan E. KazdinPart IV. AssessmentMeasurement Development, Reliability, and Validity Chapter 12. Constructing Validity: Basic Issues in Objective Scale DevelopmentLee Anna Clark and David Watson Chapter 13. Selecting Measures for Research InvestigationsAlan E. Kazdin Chapter 14. Measurement and Assessment: An Editorial ViewCecil R. ReynoldsMeasurement Among Diverse Samples Chapter 15. Methodological Issues in Assessment Research With Ethnic MinoritiesSumie Okazaki and Stanley SuePart V. Data Analysis, Evaluation, and PresentationBackground and Underpinnings of Data Analyses Chapter 16. On the Origins of the .05 Level of Statistical SignificanceMichael Cowles and Caroline Davis Chapter 17. Things I Have Learned (So Far)Jacob CohenNull Hypotheses Testing, Meta-Analysis, and Bayesian Statistics Chapter 18. A Power PrimerJacob Cohen Chapter 19. Statistical Significance Testing and Cumulative Knowledge in Psychology: Implications for Training of ResearchersFrank L. Schmidt Chapter 20. An Effect Size Primer: A Guide for Clinicians and ResearchersChristopher J. Ferguson Chapter 21. The Proof of the Pudding: An Illustration of the Relative Strengths of Null Hypothesis, Meta-Analysis, and Bayesian AnalysisGeorge S. Howard, Scott E. Maxwell, and Kevin J. FlemingData Presentation Chapter 22. Designing Better Graphs by Including Distributional Information and Integrating Words, Numbers, and ImagesDavid M. Lane and Anikó SándorPart VI. Special Topics: Evaluation in Clinical Practice and ResearchAssessment and Evaluation in Clinical Work Chapter 23. Collecting Client FeedbackMichael J. Lambert and Kenichi Shimokawa Chapter 24. Revisiting and Reenvisioning the Outcome Problem in Psychotherapy: An Argument to Include Individualized and Qualitative Measurem...
