Doing Psychology Experiments: With InfoTrac College Edition / Edition 5by David W. Martin
Pub. Date: 08/28/1999
Publisher: Cengage Learning
Written in a friendly, informal style, Martin's text provides enough information so that a student with no experimental background will be able to design, execute, interpret and report simple psychological experiments. Martin discusses many of the ethical questions that confront new experimenters in two complete chapters devoted to ethical issues (Chapters 4 and 5).
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Table of Contents1. HOW TO MAKE ORDERLY OBSERVATIONS. Psychology as a Science. Quantitative Designs. Qualitative Designs. Quantitative Versus Qualitative Designs. Using Methods in Combination. 2. HOW TO DO EXPERIMENTS. Variables. Threats to Internal Validity. Summary of the Experimental Method. 3. HOW TO GET AN EXPERIMENTAL IDEA. Fearing Experimental Ideas. Observation. Vicarious Observation. Expanding on Your Own Research. Using Theory to Get Ideas. Importance of Psychological Research. 4. HOW TO BE FAIR WITH PARTICIPANTS. Treating Human Participants Fairly. Treating Animals Fairly. 5. HOW TO BE FAIR WITH SCIENCE. Dirty Tricks. Questionable Tricks. Neat Tricks. 6. HOW TO FIND OUT WHAT HAS BEEN DONE. Why Search the Literature? The Timeliness of Sources. Formal Sources. Informal Sources. 7. HOW TO DECIDE WHICH VARIABLES TO MANIPULATE AND MEASURE. Choosing an Independent Variable. Choosing a Dependent Variable. 8. HOW TO DECIDE ON A BETWEEN-SUBJECTS VERSUS WITHIN-SUBJECT DESIGN. Between-Subjects Experiments. Within-Subject Experiments. Matching. 9. HOW TO PLAN SINGLE-VARIABLE, MULTIPLE-VARIABLE, AND CONVERGING SERIES EXPERIMENTS. Single-Variable Experiments. Factorial Designs. Converging Series Designs. 10. HOW TO DESIGN NON-TRADITIONAL RESEARCH. Quasi-Experiments (and Non-Experimental Designs). Single-Subject and Small-N Baseline Designs. Survey Research. 11. HOW TO TELL WHEN YOU ARE READY TO BEGIN. The Have-a-Nice-Day Society. Questions Before You Begin. 12. HOW TO INTERPRET EXPERIMENTAL RESULTS. Plotting Frequency Distributions. Statistics for Describing Distributions. Plotting Relationships between Variables. Describing the Strength of a Relationship. Interpreting Results from Factorial Experiments.Inferential Statistics. Meta-Analysis. Using Computer to Help Interpret Results. 13. HOW TO REPORT EXPERIMENTAL RESULTS. Parts of a Report. Reducing Language Bias. Writing Style. A Sample Report. Presentations at Conferences. EPILOGUE. APPENDICES: A: How to Do Basic Statistics. B: Statistical Tables. Appendix C: Table of Random Numbers. GLOSSARY. REFERENCES. INDEX.
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