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Applying structural equation modeling to Canadian Chiropractic Examining Board measures.

Douglas M Lawson¹

¹University of Calgary, Faculty of Medicine, Medical Education Research Centre, c/o 4832 26 Ave NE, Calgary, Alberta, Canada, Canada. dmlawson@ucalgary.ca

The Journal of the Canadian Chiropractic Association

|June 6, 2007

Summary

This study found that strong academic ability predicts chiropractic licensure success. Chiropractic educators should recruit high-achieving students and use better assessment methods like extended-matching questions for clinical reasoning.

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Area of Science:

Chiropractic Education
Educational Assessment
Psychometrics

Background:

Academic performance is crucial for professional licensure.
Evaluating clinical decision-making skills in chiropractic students is essential.
The Canadian Chiropractic Examining Board (CCEB) examinations assess competency.

Purpose of the Study:

To apply structural equation modeling (SEM) to CCEB data.
To investigate the relationship between academic ability and chiropractic licensure success.
To determine the best methods for assessing clinical reasoning.

Main Methods:

A time-series study design was employed.
Latent variable path analysis, a type of SEM, was utilized.
Model fit was assessed using the Comparative Fit Index (0.98).

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Main Results:

Structural equation modeling effectively analyzed the data.
Academic ability is a significant predictor of CCEB examination success.
Extended-matching, long-format questions better assess clinical reasoning than other formats.

Conclusions:

Recruiting students with strong academic foundations is vital for chiropractic programs.
Interventions may be needed for students struggling with foundational coursework.
CCEB examination question formats should prioritize assessing clinical reasoning effectively.