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Computer-based training to teach observers to accurately score problem behavior using fast forwarding at 5x normal

Mychal A Machado1, Kevin C Luczynski2

  • 1Department of Psychology, University of Alaska Anchorage.

Journal of Applied Behavior Analysis
|October 13, 2020
PubMed
Summary

A computer-based training program effectively improved observers' accuracy in scoring problem behavior at 5x speed. This method significantly reduced scoring time, enhancing efficiency for behavioral analysis.

Keywords:
computer-based trainingdata collectionfast forwardingin-home video recordingobserver training

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Area of Science:

  • Behavioral analysis
  • Psychology
  • Human-computer interaction

Background:

  • Accurate scoring of problem behavior is crucial for effective behavioral interventions.
  • Observing behavior at accelerated speeds (fast-forwarding) can improve efficiency but may impact accuracy.
  • Previous research suggests training can improve scoring accuracy at speeds up to 3.5x.

Purpose of the Study:

  • To evaluate a computer-based training program for improving observers' accuracy in scoring problem behavior at 5x normal speed.
  • To assess the impact of the training on both accuracy (omission and commission errors) and efficiency (scoring time).

Main Methods:

  • A multiple-baseline design across subjects was employed.
  • Participants underwent pretraining, computer-based training with automated feedback, and posttraining phases.
  • Observers scored video examples of problem behavior at 5.0x speed under different conditions.

Main Results:

  • Following training, observers achieved scoring accuracy with less than 11% error at 5.0x speed.
  • The time required for scoring was reduced by 66% across 90-min observations.
  • The training program successfully enabled accurate scoring at speeds faster than previously established.

Conclusions:

  • Computer-based training is an effective method for teaching observers to accurately score problem behavior at accelerated speeds (5.0x).
  • This training enhances both accuracy and efficiency in behavioral data collection.
  • The findings support the use of advanced fast-forwarding techniques in behavioral research and practice.