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Doing Psychology Experiments: With InfoTrac College Edition / Edition 5

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Overview

Doing Psychology Experiments, Fourth Edition enables students - even students with no experimental background - to design, execute, interpret, and report simple psychological experiments. The conversational writing style guides students through the process in an easy-to-follow, step-by-step manner. Decision-making aspects of research are emphasized, and the logic behind the research procedures is fully explained. This new edition features the latest changes in ethics principles, information about recent legislation on animal experimentation, full incorporation of new APA style guidelines, a discussion on how to give effective conference presentations and poster sessions, a detailed section on the development and use of surveys, and a reordering of material for greater understanding.
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Editorial Reviews

Booknews
Blends informality, humor, and solid scholarship in telling how to design, execute, interpret, and report simple experiments in psychology. Walks through the experimentation process step by step, emphasizing decision-making aspects of research and the logic behind research procedures. Includes chapter summaries, and exercises keyed to InfoTrac College Edition, an online database. This edition contains new discussion of benefits derived from animal research, early coverage of external and internal validity, and instructions on performing electronic searches. For methods courses in psychology. Martin teaches psychology at North Carolina State University. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780534748104
  • Publisher: Thomson Wadsworth
  • Publication date: 8/28/1999
  • Edition description: Older Edition
  • Edition number: 5

Table of Contents

1 How to Make Orderly Observations 1
2 How to Get an Experimental Idea 38
3 How to Be Fair with Participants 62
4 How to Be Fair with Science 88
5 How to Find Out What Has Been Done 103
6 How to Decide Which Variables to Manipulate and Measure 122
7 How to Decide on a Within-Subject versus Between-Subjects Design 139
8 How to Plan a Single-Variable Experiment 161
9 How to Plan a Multiple-Variable Experiment 178
10 How to Plan Quasi-Experiments 192
11 How to Tell When You Are Ready to Begin 212
12 How to Interpret Experimental Results 226
13 How to Report Experimental Results 252
Epilogue 287
App. A How to Do Basic Statistics 289
App. B Statistical Tables 305
Glossary 317
Index 327
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