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by Kathrynn A. Adams (Author), Eva K. Lawrence (Author)
About the Author
Kathrynn (Kathy) A. Adams earned her PhD in general experimental psychology from the University of Alabama in 1977. She is a Charles A. Dana professor of psychology at Guilford College, where she has taught since 1980. Her professional interests include gender issues, relationships, and teaching pedagogy. She has worked with the Preparing Future Faculty Program since the mid-1990s and helped establish the Early College at Guilford, a nationally ranked high school. In her spare time, she spends as much time as possible outdoors, jogs, practices yoga, and bakes chocolate desserts.
About this book
This updated Second Edition of Research Methods, Statistics, and Applications consistently integrates methods and statistics to prepare students for both graduate work and critical analysis of research as professionals and informed citizens. Maintaining the conversational writing style, multiple examples, and hands-on applications of key concepts that made the first edition so accessible, Kathrynn A. Adams and Eva K. Lawrence enhance the new edition with additional coverage of online data collection, inferential statistics, and regression and ANOVA, as well as a wide range of diverse examples. In every chapter, the authors develop and apply research topics and examples from the current research literature across all aspects of the research process.
New to this Edition
- New diverse examples from current research literature in criminal justice, politics, education, and counseling expose students to different research designs in the social sciences and demonstrate commonalities.
- New chapter-ending The Big Picture sections with appropriate charts and tables encourage students to consider decisions about specific statistical analyses.
- Two separate chapters (Inferential Statistics and Comparing Your Sample to a Known or Expected Score) now allow instructors to focus on the theoretical concepts associated with inferential statistics before introducing each specific inferential statistic to enhance student understanding.
- Expanded coverage of inferential statistics includes more discussion of APA guidelines for appropriate statistics and more focus on effect sizes and confidence intervals.
- New consistent headings make it easy for students to quickly locate information and for instructors to identify sections they may wish to focus on, skip, or present in a different order.
Brief contents
Chapter 1 Thinking Like a Researcher
Chapter 2 Build a Solid Foundation for Your Study Based on Past Research
Chapter 3 The Cornerstones of Good Research: Reliability and Validity
Chapter 4 Basics of Research Design: Description, Measurement, and Sampling
Chapter 5 Describing Your Sample
Chapter 6 Beyond Descriptives: Making Inferences Based on Your Sample
Chapter 7 Comparing Your Sample to a Known or Expected Score
Chapter 8 Examining Relationships Among Your Variables: Correlational Design
Chapter 9 Examining Causality
Chapter 10 Independent-Groups Design
Chapter 11 Dependent-Groups Design
Chapter 12 Factorial Designs
Chapter 13 Nonparametric Statistics
Chapter 14 Focusing on the Individual: Case Studies and Single N Designs
Chapter 15 How to Decide? Choosing a Research Design and Selecting the Correct Analysis
Appendix A Answers to Practice Questions
Appendix B APA Style and Format Guidelines
Appendix C Statistical Tables
Appendix D Statistical Formulas
Glossary
References
Author Index
Subject Index
Pages: 962 pages
Publisher: SAGE Publications, Inc; Second edition (March 8, 2018)
Language: English
ISBN-10: 1506350453
ISBN-13: 978-1506350455
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