Designing and psychometric analysis of an instrument to assess learning process in a virtual environment

Abstract

Abstract Background Today, methods that enable students to benefit from online programs to the fullest and learn independently and self-directed are of critical importance. Many scales have been developed to measure self-directed learning in the physical classroom. This study was conducted to design and assess the psychometric properties of an instrument to assess learning process in a virtual environment. Materials and methods A questionnaire for assessing s learning process in a virtual environment was developed following six steps. The process began with a systematic search for related articles. A qualitative study was then conducted to identify self-directed learning strategies and processes in virtual environments. The identified strategies were then compared with those from a literature review, and the scale items were developed accordingly. Expert validation, exploratory factor analysis, and reliability analysis were conducted to ensure questionnaire validity and reliability. This study included online postgraduate students from Iranian medical science universities in 2019. Results The scale consisted of 5 factors and 44 items. In exploratory factor analysis, five subscales explained 90% of the total variance. Cronbach’s alpha was 0.91 for the total scale. The interclass correlation coefficient between the test and retest was 0.77. Conclusion A questionnaire designed to assess learning process in a virtual environment for postgraduate virtual students has reasonable psychometric properties, including reasonable internal reliability and construct validity.

Keywords

• Self-directed learning
• Psychometric analysis
• Instrument
• Virtual environment