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Some effects of procedural variables on operant choice behavior.
1Dept of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States. jcm@uwm.edu
Behavioural Processes
|February 16, 2010
Summary
Procedural variables significantly impact operant choice experiments, affecting outcomes even with constant independent variables. Understanding these variables is crucial for accurately modeling behavior and reinforcement frequency over time.
Area of Science:
- Behavioral science
- Experimental psychology
- Quantitative psychology
Background:
- Procedural variables influence how subjects interact with experimental elements like stimuli, responses, and reinforcers.
- These variables are essential for testing the generalizability of independent variables, behavioral processes, and quantitative laws in behavior research.
- Existing research highlights the significant impact of procedural variables on experimental outcomes.
Purpose of the Study:
- To review data demonstrating the influence of procedural variables on operant choice experiments.
- To examine the theoretical implications for identifying independent variables in quantitative models.
- To analyze how procedural variables affect the correlation between reinforcement frequency and choice responding over time.
Main Methods:
- Review of data from multiple operant choice experiments.
- Analysis of how procedural variables modify experimental outcomes.
- Investigation of the relationship between procedural variables and measures of reinforcement frequency.
Main Results:
- Procedural variables can alter experimental results even when nominal independent variables are unchanged.
- The choice of procedural variables impacts the measurement of reinforcement frequency over time.
- These findings raise questions about the precise identification of independent variables in current quantitative models.
Conclusions:
- Procedural variables are critical determinants of behavior in operant choice settings.
- Accurate identification and control of procedural variables are necessary for robust behavioral models.
- Further research is needed to refine the understanding of procedural variables' role in behavior analysis.
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