Contingency space analysis: An alternative method for identifying contingent relations from observational data

Brian K. Martens, Florence D. Digennaro, Derek D. Reed, Frances M. Szczech, Blair D. Rosenthal

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Descriptive assessment methods have been used in applied settings to identify consequences for problem behavior, thereby aiding in the design of effective treatment programs. Consensus has not been reached, however, regarding the types of data or analytic strategies that are most useful for describing behavior-consequence relations. One promising approach involves the analysis of conditional probabilities from sequential recordings of behavior and events that follow its occurrence. In this paper we review several strategies for identifying contingent relations from conditional probabilities, and propose an alternative strategy known as a contingency space analysis (CSA). Step-by-step procedures for conducting and interpreting a CSA using sample data are presented, followed by discussion of the potential use of a CSA for conducting descriptive assessments, informing intervention design, and evaluating changes in reinforcement contingencies following treatment.

Original languageEnglish (US)
Pages (from-to)69-81
Number of pages13
JournalJournal of Applied Behavior Analysis
Volume41
Issue number1
DOIs
StatePublished - Mar 2008

Keywords

  • Conditional probabilities
  • Contingency space analysis
  • Descriptive assessment

ASJC Scopus subject areas

  • Philosophy
  • Applied Psychology
  • Sociology and Political Science

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