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Psychometric properties of the revised Diabetes Knowledge Test using Rasch analysis
Eun-Hyun Lee1, Young Whee Lee2, Hyun-Jung Kang1
1Graduate School of Public Health, Ajou University, Suwon, Republic of Korea.
The revised Diabetes Knowledge Test (DKT2) has questionable structural validity, showing poor reliability and issues with measurement invariance. Further research is needed to improve this diabetes knowledge assessment tool.
Area of Science:
- Endocrinology
- Psychometrics
- Health Education
Background:
- The revised Diabetes Knowledge Test (DKT2) is widely used to assess diabetes knowledge.
- Its structural validity and psychometric properties have not been previously evaluated.
- Understanding the DKT2's psychometric properties is crucial for accurate diabetes knowledge assessment.
Purpose of the Study:
- To determine the psychometric properties of the revised Diabetes Knowledge Test (DKT2).
- To evaluate the structural validity of the DKT2 instrument.
Main Methods:
- Secondary data analysis of individuals with diabetes from university hospitals.
- Rasch analysis was employed to assess the DKT2's psychometric properties.
Main Results:
- One item from the 14-item DKT2 was removed due to poor fit, resulting in a 13-item instrument.
- The analysis indicated a unidimensional structure but revealed poor person reliability (0.50) and a low person separation index (1.01).
- Measurement invariance was not achieved for specific items concerning gender and age.
Conclusions:
- The 13-item DKT2 exhibits a unidimensional structure but suffers from poor person reliability and low person separation.
- Specific items (11 and 2) presented greater difficulty for females and older adults, respectively.
- The study highlights the need for careful consideration when using the DKT2 and suggests adding more challenging items in future iterations.
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