Becoming a behavioral science researcher : a guide to producing research that matters
著者
書誌事項
Becoming a behavioral science researcher : a guide to producing research that matters
Guilford Press, c2009
- pbk. : alk. paper
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注記
Includes bibliographical references (p. 333-346) and indexes
内容説明・目次
内容説明
Students and beginning researchers often discover that their introductory statistics and methods courses have not fully equipped them to plan and execute their own behavioral research studies. This indispensable book bridges the gap between coursework and conducting independent research. With clarity and wit, the author helps the reader build needed skills to formulate a precise, meaningful research question; understand the pros and cons of widely used research designs and analysis options; correctly interpret the outcomes of statistical tests; make informed measurement choices for a particular study; manage the practical aspects of data screening and preparation; and craft effective journal articles, oral presentations, and posters. Including annotated examples and recommended readings, most chapters feature theoretical and computer-based exercises; an answer appendix at the back of the book allows readers to check their work.
目次
I. PROMISE AND PROBLEMS
1. Introduction
Not Ready for Prime Time
What Students Say They Need
Plan of the Book
Career Paths for Behavioral Scientists
Summary
Recommended Readings
2. The Good, the Bad, and (the Really) Ugly of Behavioral Science Research
The Good
The Bad
The (Really) Ugly
Why?
Summary
Recommended Readings
II. CONCEPTS
3. The Research Trinity
Trinity Overview
Design
Measurement
Analysis
Internal Validity
Construct Validity
Conclusion Validity
External Validity and Sampling
Summary
Recommended Readings
Exercises
4. Design and Analysis
Chapter Overview
From Question to Design
Experimental Designs
Controlled Quasi-Experimental Designs
Nonequivalent-Group Designs
Regression-Discontinuity Designs
Other Quasi-Experimental Designs
Nonexperimental Designs
Resources for Learning More
Summary
Recommended Readings
Exercises
5. The Truth about Statistics
Study Strategy
A Dozen Truths about Statistics
What Statistical Significance Really Means
Misinterpretations of Statistical Significance
Why Are There So Many Myths?
Other Drawbacks of Statistical Tests
In Defense of Statistical Tests
Recommendations for Changing Times
Summary
Recommended Readings
Exercises
Appendix 5.1. Review of Statistics Fundamentals
6. Effect Size Estimation
Contexts for Estimating Effect Size
Families of Parametric Effect Sizes
Estimating Effect Size When Comparing Two Samples
Measures of Association for More Complex Designs
Effect Sizes for Dichotomous Outcomes
T-Shirt Effect Sizes, Importance, and Cautions
Approximate Confidence Intervals
Research Examples
Summary
Recommended Readings
Exercises
Appendix 6.1. Noncentrality Interval Estimation for Effect Sizes
7. Measurement
Chapter Scope
The Critical Yet Underappreciated Role of Measurement
Measurement Process Overview
Resources for Finding Measures
Adapting or Translating Tests
Evaluation of Score Reliability and Validity
Checklist for Evaluating Measures
Recent Developments in Test Theory
Summary
Recommended Readings
Exercises
III. SKILLS
8. Practical Data Analysis
Vision First, Then Simplicity
Managing Complex Analyses (Batch to the Future)
Data Screening
Summary
Recommended Readings
Exercises
9. Writing
Plagiarism and Academic Integrity
Writing as Learning
Getting Started
The Role of Style Guides
General Principles of Good Writing
Principles of Good Scientific Writing
Writing Sections of Empirical Studies
Effective Graphical Displays
Ready for the Big Time
Summary
Recommended Readings
Appendix 9.1. Example Results Section
10. Presentations
Challenges of Oral Presentations
Problems with PowerPoint Presentations
Principles for Creating Effective PowerPoint Presentations
Lessons from Multimedia Learning
Other PowerPoint Issues
Poster Presentations
Summary
Recommended Readings
Exercises
Appendix 10.1. 4-Color Example Slides, Handout, and Poster
Suggested Answers to Exercises
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