Preferred Name

Mason

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

ORCID

https://orcid.org/0009-0005-3669-8732

Date of Graduation

5-9-2024

Semester of Graduation

Spring

Document Type

Thesis

Degree Name

Master of Arts (MA)

Department

Department of Graduate Psychology

Advisor(s)

Megan R. Good

Sara J. Finney

Joseph M. Kush

Kimberly Yousey-Elsener

Abstract

Higher education experiences routine scrutiny as the cost continues to rise and evidence of a return on investment is variable. Higher education institutions would benefit from measuring post-graduate outcomes to better articulate their impact. The current study examines the factor structure and measurement invariance of the National Alumni Career Mobility (NACM) a 25-item survey, that is widely used to assess alumni career outcomes. Prior psychometric reports for the NACM purported two different factor structures: a five-factor and bifactor model. National reports disaggregated the data by demographic variables, including first-generation status. Disaggregation by first-generation status is problematic given the lack of measurement invariance evidence for the NACM. Using two-phases, the current study 1) tested two competing factor structures (i.e., a five-factor and bifactor structure) and 2) tested measurement invariance of the championed model for first-generation status. Results supported a five-factor model. Further analysis on a secondary sample was conducted removing one item to address local misfit; thus, a five-factor model with 24 items was ultimately championed. Strong support (scalar) of measurement invariance for first-generation status was found for the championed model suggesting that observed differences in NACM scores can be attributed to latent differences in career outcomes. Overall, the study contributes to a better understanding of the factor structure of the NACM and its applicability for comparing career outcomes among first-generation and non-first-generation students.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.