Clinical Readiness Diagnostic Assessment (CRDA) for Physiotherapy Students in South Africa
by Muhle Komati·Updated 2mo ago
4.6 MB12files
Available on 1 platform
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Description
Muhle Komati developed a Clinical Readiness Diagnostic Assessment (CRDA) tool for physiotherapy students in South Africa. The dataset contains development and evaluation materials from an exploratory sequential mixed-methods study, including focus group discussions, eDelphi consensus, Extended Angoff cut scores, and pilot student data. The files, last updated in April 2026, are available under a CC-BY-4.0 license.
Use Cases
Evaluating assessment tool reliability based on Classical Test Theory and Item Response Theory analyses mentioned in the description
Studying consensus-building methods for clinical competency definitions based on the described eDelphi process
Benchmarking student readiness levels using the criterion-referenced cut scores established via the Extended Angoff method
Analyzing mixed-methods research design in educational assessment based on the described sequential phases
Strengths
Development followed a structured three-phase mixed-methods design, including qualitative and quantitative validation
Includes multiple file types (PDF, XLS, XLSX) covering different aspects of the tool's development and evaluation
Released under a permissive CC-BY-4.0 license, facilitating reuse and adaptation
Limitations
Row count is unknown, which may limit suitability assessment for large-scale statistical modeling
Column-level documentation is absent; field semantics must be inferred after download
Data may reflect geographic bias inherent to its focus on South African physiotherapy education
Provenance
Source
Muhle Komati via figshare
Collection Method
Exploratory sequential mixed-methods design involving focus groups, eDelphi consensus, Extended Angoff method, and pilot testing
Time Range
Pilot data from third-year students, but specific collection dates are not provided
Freshness
Last updated 2026-04-23 13:54:37; freshness should be verified
Geography
South Africa
Files are in PDF and Excel formats; statistical analyses require appropriate software. The 4.6 MB size indicates a small dataset.