Psychometric properties of the LifeSkills Training middle school health survey
Bibliographic Data
| ID | 21375482 |
|---|---|
| Authors | Lodi Lipien (0000-0002-7519-8256, Department of Child and Family Studies College of Behavioral and Community Sciences Tampa Florida USA), Flandra Ismajli (0000-0003-3217-9378, Department of Child and Family Studies College of Behavioral and Community Sciences Tampa Florida USA), Khary K Riggs (0000-0002-1714-5834, University of South Florida, corresponding author), Khary K Rigg (Department of Mental Health Law and Policy College of Behavioral and Community Sciences University of South Florida Tampa Florida USA) |
| Year | 2021 |
| Volume | 58 |
| Issue | 12 |
| Pages | 2374-2391 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychology in the Schools (JOURNAL) |
| Journal identifiers | ISSN: 0033-3085 • E-ISSN: 1520-6807 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pits.22598 |
| OpenAlex | W3204845005 |
| Language | EN |
| References cited | 34 |
LifeSkills Training (LST) is a popular drug prevention program shown to be effective at preventing youth substance use. The Middle School Health Survey (MSHS) is a questionnaire that was created by the developers of the LST curriculum to measure changes in knowledge and attitudes about drugs and life skills among youth. Despite the widespread use of the MSHS, the measurement quality of the instrument is largely unknown because no prior research has evaluated its psychometric properties. This study evaluated the reliability of scores and factor structure of the MSHS, which was administered to 986 students (Grades 6–8) before the implementation of the LST curriculum. Results indicate that one of the subscales had poor internal consistency reliability as measured by Cronbach's alpha, which is likely due to restricted variability in item responses. Exploratory and confirmatory factor analytic procedures indicated that a three‐ or four‐factor solution fit the data; however, fewer than half of the items had loadings above the acceptable threshold, indicating that the MSHS requires modification to meet acceptable standards of measurement quality. This paper fills a void in the literature and informs if and which modifications to the MSHS might be necessary
Confirmatory factor analysis · Cronbach's alpha · Curriculum · Exploratory factor analysis · Internal consistency · Medical education · Pedagogy · Psychometrics · Reliability (semiconductor) · Statistics · Structural equation modeling · Applied Psychology · Clinical Psychology · Community Health and Development · Medicine · Psychology · Substance Abuse Treatment and Outcomes · Youth Development and Social Support
How to factor-analyze your data right
Monitoring the Future national survey results on drug use, 1975-2018
Factor Retention Decisions in Exploratory Factor Analysis
Measuring Risk and Protective Factors for Use, Delinquency, and Other Adolescent Problem Behaviors
Effective ingredients of school-based drug prevention programs
Evidence-Based Interventions for Preventing Substance Use Disorders in Adolescents
Substance Use and Associated Health Conditions throughout the Lifespan
Cutoff criteria for fit indexes in covariance structure analysis
What is coefficient alpha? An examination of theory and applications.
Psychometrics is Datametrics
Measurement Theory and Applications for the Social Sciences
Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor With Continuous and Dichotomous Observed Variables
Storylines as a Neglected Tool for Mental Health Service Providers and Researchers
Life Skills Training
School-Based Adolescent Drug Prevention Programs
Increasing Implementation Fidelity for School-Based Drug Abuse Prevention
Exploratory and confirmatory factor analysis
Covariance structure modeling in organizational research
Study Samples Are Too Small to Produce Sufficiently Precise Reliability Coefficients
Scale Development Research
From alpha to omega
| Highly cited | No |
|---|