Evidence map›Paper›PMID 39589790›Full record

ArticleJournal of studies on alcohol and drugs2025

An Easily Accessible, Semi-Automated Approach to Creating Personalized Normative Feedback and Risk Feedback Graphics.

Jack T Waddell, Scott E King, William R Corbin, Teresa A Treat, Katie Witkiewitz, Richard J Viken

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jack T WaddellDepartment of Psychology, Arizona State University, Tempe, Arizona.
Scott E KingDepartment of Psychology, Arizona State University, Tempe, Arizona.
William R CorbinDepartment of Psychology, Arizona State University, Tempe, Arizona.
Teresa A TreatDepartment of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa.
Katie WitkiewitzDepartment of Psychology, University of New Mexico, Albuquerque, New Mexico.
Richard J VikenDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana.

Funding

Research training in substance use prevention: Closing the research-practice gapT32DA039772 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Cady Berkel, Nancy A. Gonzales · 2015 to 2026
$4.2M
Reducing Alcohol-Related Sexual Risk BehaviorR34AA027713 · NIAAA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI CORBIN, WILLIAM R, TREAT, TERESA A · 2020 to 2022
$726k
Between- and Within-Person Effects of Alcohol and Cannabis Co-Use on Subjective Alcohol Response and Problem DrinkingF31AA030167 · NIAAA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WADDELL, JACK T · 2022 to 2023
$68k
NIAAA NIH HHS F31 AA030167NIAAA NIH HHS R34 AA027713NIDA NIH HHS T32 DA039772
6 · The paper itself

Abstract

objectivePersonalized normative feedback interventions show efficacy in reducing health risk behaviors (e.g., alcohol use, sexual aggression). However, complex personalized normative feedback interventions may require manual methods of inputting participant data into graphics, which introduces error, and automated approaches require substantial technical costs and funding and may limit the types of feedback that can be provided.

methodTo make personalized normative feedback more accessible, we outline a method of using easily accessible software programs, including IBM Statistical Package for the Social Sciences (SPSS), Microsoft Excel, and Microsoft PowerPoint, to create and display complex personalized normative feedback graphics. We also describe methods through which personalized normative feedback graphics can be created within a larger preventive intervention for alcohol and sexual assault in college men.

resultsWe first provide step-by-step instructions for collecting data and then creating semi-automated syntax files within SPSS and Excel to merge participant data into complex personalized normative feedback graphics in Excel. To do so, we append annotated syntax in text and supplemental material. Next, we outline the process of creating risk feedback graphics, whereby individual items or the exact wording of items are displayed back to the participant. Finally, we provide guidance regarding the process of translating graphics from Excel for viewing via PowerPoint without having to manually update PowerPoint slides for each presentation.

conclusionsVia the described syntax and graphic generation, researchers are then able to create semi-automated personalized normative feedback and risk feedback graphics. This tutorial may help increase the dissemination of complex personalized normative feedback interventions.

Indexed as

Alcohol DrinkingComputer GraphicsFeedback, PsychologicalRisk-TakingFeedbackHumansMaleSex OffensesSoftwareYoung Adult

Identifiers

PMID39589790
PMCPMC11980400

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.