Readings for Strategies and Tactics of Behavioral Research
- By J. M. Johnston, H. S. Pennypacker, James M. Johnston, Henry S. Pennypacker
- Price: $45.00
- Binding: Hardback
- Pages: 224
- Published by: Psychology Press
- Publication Date: 1st March 1993
- ISBN: 978-0-8058-0906-0
About the Book
The readings featured in this volume are compiled from the authors' previously published papers and chapters, as well as newly written materials. At a more advanced level, the readings address certain specialized topics. However, these readings are thematically consistent with the chapters in the companion volume, making them especially suitable as supplementary material.
Together with its companion volume, it provides an integrated and coherent account of how to study behavior. Most topics treated in traditional research methods texts are covered in detail, with particular reference to behavior as a subject matter. However, the work is distinctive from other texts in that its topics are organized not around inferential statistical methods, but the needs of a behavioral subject matter and the goal of bringing the researcher's behavior under its control. This approach closely integrates each new chapter with previous chapters, and the result is especially intuitive for students.
Table of Contents
Contents: Preface.
Part I: The Natural Science of Behavior. Why Behavior Analysis Is a Natural Science. The Development of Behavioral Research Methods: Contributions of B.F. Skinner.
Part II: Measurement. Traditions of Behavioral Measurement. Describing Behavior with Ratios of Count and Time. Probability as a Scientific Concept. The Problem of Limited Accessibility.
Part III: Design. Traditions of Experimental Design. Pure Versus Quasi-Behavioral Research. Strategic and Tactical Limits of Comparison Studies.
Part IV: Interpretation. Measurement Scales and the Description of Behavioral Variability. Logic, Reasoning, and Verbal Behavior. On the Relation Between Generalization and Generality. Within Subject Versus Between Groups Designs: Comparing Experimental Outcomes.
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