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REVEL™ for Research Design in Clinical Psychology helps students achieve a thorough understanding of the entire research process — developing the idea, selecting methods, analyzing the results, and preparing the written scientific report. Drawing examples from clinical research, health, and medicine, author Alan Kazdin offers detailed coverage of experimental design, assessment, data evaluation and interpretation, case-control and cohort designs, and qualitative research methods. In addition to new pedagogical tools to guide students, REVEL for the Fifth Edition offers expanded coverage of key topic areas, such as cultural issues, scientific integrity, and recent changes in the publication and communication of research.
REVEL is Pearson’s newest way of delivering our respected content. Fully digital and highly engaging, REVEL replaces the textbook and gives students everything they need for the course. Informed by extensive research on how people read, think, and learn, REVEL is an interactive learning environment that enables students to read, practice, and study in one continuous experience — for less than the cost of a traditional textbook.
NOTE: REVEL is a fully digital delivery of Pearson content. This ISBN is for the standalone REVEL access card. In addition to this access card, you will need a course invite link, provided by your instructor, to register for and use REVEL.
Table of contents
2. Drawing Valid Inferences I: Internal and External Validity
3. Drawing Valid Inferences II: Construct and Data-Evaluation Validity
4. Ideas that Begin the Research Process
5. Experimental Research: Group Designs
6. Control and Comparison Groups
7. Observational Research: Case-Control and Cohort Designs
8. Single-Case Experimental Research Designs
9. Qualitative Research Methods
10. Assessment: Selecting Measures for Research
11. Assessment: Types of Measures and Their Use
12. Special Topics of Assessment
13. Data Evaluation: Null Hypothesis Significance Testing
14. Data Evaluation: Presenting and Analyzing the Data
15. Data Interpretation: Cautions, Negative Effects, and Replication
16. Ethical Issues and Guidelines for Research
17. Scientific Integrity
18. Communication of Research Findings
19. Methodology: Constantly Evolving Along With Advances in Science
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Published by Pearson (May 6th 2016) - Copyright © 2017