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Computer-assisted observer training.

R F Bass1

  • 1University of Wisconsin-Madison.

Journal of Applied Behavior Analysis
|April 1, 1987
PubMed
Summary

Computerized training using interactive videotapes effectively taught college students observational recording skills. This method achieved over 90% accuracy, suggesting traditional observer agreement checks may be insufficient for ensuring reliable data.

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Area of Science:

  • Behavioral Psychology
  • Educational Technology
  • Research Methodology

Background:

  • Observational recording systems are crucial for data collection in behavioral studies.
  • Traditional training methods for observational recording can be time-consuming and may lack immediate feedback.
  • Ensuring interobserver agreement is vital for the validity of observational data.

Purpose of the Study:

  • To evaluate the efficacy of computerized interactive videotapes for training observational recording skills.
  • To compare the impact of training with three versus seven target behaviors.
  • To assess the effect of feedback maintenance (thinning feedback) on training outcomes.

Main Methods:

  • College students were trained using interactive videotapes and a 10-second partial-interval observational recording system.
  • Response occurrences were scored via a computer keyboard, with immediate feedback and rescoring for errors.
  • Training conditions included variations in the number of target behaviors and feedback schedules.

Main Results:

  • Average accuracy across all target behaviors consistently exceeded 90%.
  • Accuracy for most target responses met established interobserver agreement standards.
  • The training demonstrated high effectiveness regardless of the number of target behaviors or feedback thinning.

Conclusions:

  • Computerized interactive videotape training is a highly effective method for teaching observational recording skills.
  • The high accuracy achieved suggests that standard intermittent observer agreement checks might be inadequate.
  • This technology offers a reliable and efficient alternative for training observers in research settings.

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