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Factors impacting the use of block credit prior learning assessment (BC-PLA) was analyzed
using a Multiple-Indicator Multiple-Cause (MIMIC) model. The analysis explored the impact of
age, gender, and GPA on awarding credit hours among students to earn 24 collegiate credit hours
or 30 non-collegiate credit hours and thereby, accelerate college completion towards earning a
Bachelor of Applied Arts and Science (BAAS) degree. The BC-PLA approach included four
internal variables: skills, knowledge, cognitive process, and tools/technology, and three external
variables: numeric course grade, the O*NET job zone and the O*NET specific vocational
preparation.
Todd Sherron, Texas State University
Catherine A. Cherrstrom, Texas State University
Shailen Singh, Texas State University
Felix Quayson, Texas State University
Jennifer A. King, Texas State University
Ruchi Dilip Kukde, Texas State University
Lei Xie, Texas State University
Brittany Hyden, Texas State University
Portia Gottschall, Texas State University
Omar S. Lopez, Texas State University
Carrie J. Boden, Texas State University
Shetay Ashford-Hanserd, Texas State University