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Related Experiment Video

Updated: Jun 6, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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An Easily Accessible, Semi-Automated Approach to Creating Personalized Normative Feedback and Risk Feedback Graphics.

Jack T Waddell1, Scott E King1, William R Corbin1

  • 1Department of Psychology, Arizona State University, Tempe, Arizona.

Journal of Studies on Alcohol and Drugs
|November 26, 2024
PubMed
Summary

This study introduces a semi-automated method for creating personalized normative feedback graphics using common software. This approach enhances accessibility and aids in disseminating interventions for reducing health risk behaviors.

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Area of Science:

  • Behavioral Science
  • Public Health Interventions
  • Health Communication

Background:

  • Personalized normative feedback (PNF) interventions effectively reduce health risk behaviors like alcohol misuse and sexual aggression.
  • Current PNF methods face challenges with manual data input errors and high costs/limitations of automated systems.
  • A need exists for accessible, cost-effective methods to generate complex PNF graphics.

Purpose of the Study:

  • To present a method for creating personalized normative feedback graphics using accessible software (SPSS, Excel, PowerPoint).
  • To detail the integration of these graphics into preventive interventions for college men addressing alcohol and sexual assault.
  • To improve the accessibility and dissemination of PNF interventions.

Main Methods:

  • Utilizing IBM SPSS and Microsoft Excel for data collection and semi-automated creation of PNF graphics.
  • Developing syntax files in SPSS and Excel to merge participant data into graphical representations.
  • Employing Microsoft PowerPoint for displaying generated graphics without manual slide updates.

Main Results:

  • Step-by-step instructions provided for data collection and semi-automated graphic generation.
  • Successful creation of personalized normative feedback and risk feedback graphics using SPSS and Excel.
  • Guidance offered for translating Excel graphics into PowerPoint for efficient presentation.

Conclusions:

  • The described syntax and graphic generation methods enable semi-automated PNF and risk feedback graphics.
  • This tutorial aims to increase the adoption and dissemination of complex PNF interventions.
  • The approach enhances the feasibility of implementing PNF for behavior change research and practice.