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Utility of the REDFLAGS Model for Supporting Community College Students’ Mental Health: Implications for Counselors
Author(s) -
Kalkbrenner Michael T.,
Brown Eric M.,
Carlisle Kristy L.,
Carlisle Robert M.
Publication year - 2019
Publication title -
journal of counseling and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.805
H-Index - 78
eISSN - 1556-6676
pISSN - 0748-9633
DOI - 10.1002/jcad.12290
Subject(s) - mental health , mental health literacy , stratified sampling , psychology , multilevel model , community college , confirmatory factor analysis , logistic regression , sample (material) , ethnic group , population , health literacy , literacy , medical education , clinical psychology , gerontology , structural equation modeling , medicine , psychiatry , pedagogy , environmental health , mental illness , health care , sociology , mathematics , anthropology , economic growth , chemistry , pathology , computer science , chromatography , machine learning , statistics , economics
The counseling literature is lacking in research on supporting the mental health needs of the growing community college student population. A number of past investigators have demonstrated the utility of mental health literacy for supporting college students’ mental health on 4‐year universities. The present researchers examined the validity of the REDFLAGS model (a theoretical model for promoting mental health literacy) with a national stratified random sample ( N = 640, stratified by age, gender, and ethnicity) of community college students. Collectively, the results of the confirmatory factor analysis, hierarchical logistic regression, and factorial analysis of variance supported the use of the model with community college students. Implications for enhancing counseling practice as well as directions for future research are provided.