Confirmatory Factor Analysis of the Public Health Associate Program Service-Learning Scale: A Validation Study

Service-learning programs play an important role in the recruitment and development of the public health workforce. Such programs serve as necessary pathways for trainees to enter public health and related fields (McClamroch & Montgomery, 2009; Horney, et al., 2014; Yeager, Beitsch, & Hasbrouch, 2016; Leider, Resnick, & Erwin, 2022; Leider et al., 2023), providing participants with hands-on career experience and supplying organizations access to a pool of early career applicants (Furco, 1996; Cashman & Seifer, 2008; Thacker et al., 2008; Meritt & Murphy, 2019; Markaki, et al., 2021). Service-learning participants offer valuable insight into program quality and effectiveness, and gathering this input through surveys is among the most widely used approaches to evaluate training and professional development programs (Gelmon, et al., 2001; Brown, 2005; Kirkpatrick & Kirkpatrick, 2006). Although certain scales designed to evaluate different components of service-learning have been examined previously (e.g., Eyler, et al., 1997; Shiarella, et al., 2000: Moely, et al., 2002; Snell & Lau, 2020; Lee et al, 2021), the overall body of evidence derived from psychometric evaluation is limited (Gelmon et al., 2001; Toncar, et al., 2006; Ma et al., 2019; Snell & Lau, 2020). This is particularly true for service-learning programs in public health and related fields and in programs sponsored by non-academic institutions. The Public Health Associate Program (PHAP) Service-Learning Scale (PSLS) (Appendix) was first developed in 2016. It was designed to evaluate participant experience and satisfaction with PHAP, a service-learning fellowship program managed by the Centers for Disease Control and Prevention (CDC). Using an exploratory factor analysis (EFA), the initial pilot of assessment of PSLS provided evidence of validity and reliability and as an underlying factor structure for the scale (Colman et al., 2018). For the pilot study, EFA was more appropriate methodology because the scale was still in development and hypothesized factors had not been generated (Kelloway, 1995). As explained by Hurley et al., (1997), psychometric research on a particular scale can be phased, beginning with the EFA study and succeeded by a CFA study to see what can be confirmed. The current study purpose is to reexamine and confirm previous findings of the factor structure of subscales and provide evidence of its validity using a confirmatory factor analysis (CFA). While this sample for these psychometric evaluations has been limited to PHAP participants, if the instrument is validated, this scale has utility for a plethora of service-learning programs.

Authors

Institutions

Publication Details

Journal
Journal of Methods and Measurement in the Social Sciences
Published
2024-12-31
DOI
https://doi.org/10.2458/jmmss.9785
Primary Topic
Service-Learning and Community Engagement
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Confirmatory Factor Analysis of the Public Health Associate Program Service-Learning Scale: A Validation Study

Karen Mumford, Laura T. Colman, Corinne J. Wigington, Andrea Young et al.
Journal of Methods and Measurement in the Social Sciences
Service-Learning and Community Engagement
article

Confirmatory Factor Analysis of the Public Health Associate Program Service-Learning Scale: A Validation Study

Karen Mumford, Laura T. Colman, Corinne J. Wigington, Andrea Young, Jackson K. Grimes
article en

Abstract

Service-learning programs play an important role in the recruitment and development of the public health workforce. Such programs serve as necessary pathways for trainees to enter public health and related fields (McClamroch & Montgomery, 2009; Horney, et al., 2014; Yeager, Beitsch, & Hasbrouch, 2016; Leider, Resnick, & Erwin, 2022; Leider et al., 2023), providing participants with hands-on career experience and supplying organizations access to a pool of early career applicants (Furco, 1996; Cashman & Seifer, 2008; Thacker et al., 2008; Meritt & Murphy, 2019; Markaki, et al., 2021). Service-learning participants offer valuable insight into program quality and effectiveness, and gathering this input through surveys is among the most widely used approaches to evaluate training and professional development programs (Gelmon, et al., 2001; Brown, 2005; Kirkpatrick & Kirkpatrick, 2006). Although certain scales designed to evaluate different components of service-learning have been examined previously (e.g., Eyler, et al., 1997; Shiarella, et al., 2000: Moely, et al., 2002; Snell & Lau, 2020; Lee et al, 2021), the overall body of evidence derived from psychometric evaluation is limited (Gelmon et al., 2001; Toncar, et al., 2006; Ma et al., 2019; Snell & Lau, 2020). This is particularly true for service-learning programs in public health and related fields and in programs sponsored by non-academic institutions. The Public Health Associate Program (PHAP) Service-Learning Scale (PSLS) (Appendix) was first developed in 2016. It was designed to evaluate participant experience and satisfaction with PHAP, a service-learning fellowship program managed by the Centers for Disease Control and Prevention (CDC). Using an exploratory factor analysis (EFA), the initial pilot of assessment of PSLS provided evidence of validity and reliability and as an underlying factor structure for the scale (Colman et al., 2018). For the pilot study, EFA was more appropriate methodology because the scale was still in development and hypothesized factors had not been generated (Kelloway, 1995). As explained by Hurley et al., (1997), psychometric research on a particular scale can be phased, beginning with the EFA study and succeeded by a CFA study to see what can be confirmed. The current study purpose is to reexamine and confirm previous findings of the factor structure of subscales and provide evidence of its validity using a confirmatory factor analysis (CFA). While this sample for these psychometric evaluations has been limited to PHAP participants, if the instrument is validated, this scale has utility for a plethora of service-learning programs.

Journal of Methods and Measurement in the Social SciencesVol. 15(2)
Centers for Disease Control and Prevention (US)
Centers for Disease Control and Prevention
Openalex Percentile: Top 55%
Service-Learning and Community Engagement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.