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Applying structural equation modeling to Canadian Chiropractic Examining Board measures
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.
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).
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.