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Research Methods in Behavior Change Programs

Learn how to ensure data accuracy in behavior change programs by training and monitoring observers. Understand sources of inaccuracies and methods to increase reliability for evaluating behavior change. Explore different research methods and group designs for accurate assessment.

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Research Methods in Behavior Change Programs

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  1. Research Methods in Behavior Change Programs Chapter 11

  2. Accuracy of Data: Training and Monitoring Observers Other procedures can enhance accuracy • let observers know their accuracy will be checked • use interobserver reliability procedures in training • use the procedures to evaluate the accuracy of self-monitoring

  3. Sources of Data Inaccuracies • Measure outcomes of behavior • Rating scale questions & labels not clearly defined • Self-report data may be flawed – poor memory • Reactivity effects • Poor operational definition • Observers may not be trained or motivated to record accurately

  4. Accuracy of Data: Increasing Reliability • Use more than one independent observer • Check interobserver reliability of observers • Train and monitor observers

  5. Intrasubject Research • AB Designs • ABAB (Reversal) Designs • Multiple Baseline Designs • Across Behaviors • Across Situations • Across Individuals • Changing Criterion Designs • Alternating Treatment Designs

  6. Reversal Designs

  7. Multiple Baselines Across Behaviors

  8. Alternating-Treatment Design

  9. Group Designs • Within-Subjects Designs • Between-Subjects Designs • independent and dependent variables • random assignment • quasi-experimental designs

  10. Evaluating Behavior Change • Follow-Up Assessment • Change behavior that is significant to the individual’s functioning • Cost-Benefit Analysis

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