• Summary
  • Contents
  • Subject index

“Sharpe and Koperwas provide a methodological framework that objectifies the complexity of behavior. This book's quantitative and multiple-event approach to data collection and analysis is essential for effective descriptions and explanations of the behavior of humans and nonhumans. Of particular note is the multidisciplinary applicability of the methodology and that the methods can be used by basic, applied, and clinical researchers. Human service providers are being increasingly pressured to take objective measures; practitioners should find much in this book to help them satisfactorily meet these demands. The authors' sensitivity to clarity of presentation makes the book an excellent primary or supplementary text for any course in behavior methodology.”

-- Dennis J. Delprato, Eastern Michigan University

“I think the author did a very thoughtful, informed analysis and presentation ...

An Interbehavioral Multi-Event Perspective
An interbehavioral multi-event perspective

In order that an important invention may be successful, two conditions must be favorable. First: It must be possible, that is, the scientific principle on which it is founded must be known. Second: the invention must be wanted.

— Henry (1886, p. 306)

After reading this chapter, you should be able to define the following terms and provide the information requested in the study guide below.

TechnologySequential data
ModelsConditional probability
InterbehaviorField system
Static data
Study Guide
  • Explain and illustrate the relationship between the terms science and technology.
  • List and discuss the three important aspects of providing scientific models for research and development.
  • Provide an illustration that highlights the differences between and potential benefits of using questionnaire data, static behavioral measures, and sequential data when ...
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