Validating workplace performance assessments in health sciences students: a case study from speech pathology.
Valid assessment of health science students' ability to perform in the real world of workplace practice is critical for promoting quality learning and ultimately certifying students as fit to enter the world of professional practice. Current practice in performance assessment in the health sciences field has been hampered by multiple issues regarding assessment content and process. Evidence for the validity of scores derived from assessment tools are usually evaluated against traditional validity categories with reliability evidence privileged over validity, resulting in the paradoxical effect of compromising the assessment validity and learning processes the assessments seek to promote. Furthermore, the dominant statistical approaches used to validate scores from these assessments fall under the umbrella of classical test theory approaches. This paper reports on the successful national development and validation of measures derived from an assessment of Australian speech pathology students' performance in the workplace. Validation of these measures considered each of Messick's interrelated validity evidence categories and included using evidence generated through Rasch analyses to support score interpretation and related action. This research demonstrated that it is possible to develop an assessment of real, complex, work based performance of speech pathology students, that generates valid measures without compromising the learning processes the assessment seeks to promote. The process described provides a model for other health professional education programs to trial.
Speech Pathology, Flinders University, GPO 2100, Adelaide, SA 5001, Australia, sue.mcallister@flinders.edu.au.
Sue
S
McAllister
Michelle
M
Lincoln
Allison
A
Ferguson
Lindy
L
McAllister
D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001315:Australia; D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D004521:Educational Measurement / Q000379:methods / Q000706:statistics & numerical data*; D004650:Employee Performance Appraisal / Q000379:methods / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D011361:Professional Competence / Q000706:statistics & numerical data*; D013066:Speech-Language Pathology / Q000193:education*; D013334:Students / Q000706:statistics & numerical data*; D013647:Task Performance and Analysis; D000078329:Workforce; D017132:Workplace / Q000706:statistics & numerical data; D055815:Young Adult