scholarly journals The self-rating scale of self-directed learning tool: findings from a confirmatory factor analysis

Author(s):  
Lucia Cadorin ◽  
Valerio Ghezzi ◽  
Monica Camillo ◽  
Alvisa Palese
2019 ◽  
Vol 23 (1) ◽  
pp. 1-11
Author(s):  
Intan Febry Sulasiwi ◽  
Supriyono Koes Handayanto ◽  
Wartono Wartono

This study aims to develop a valid and reliable self-rating scale instrument for measuring Self-Directed Learning (SDL) skills. This DDI study follows the steps of Hinkin’s development (1995) which consists of five stages: creating an item pool, expert conclusion, implementation, confirmatory factor analysis, and reliability analysis. The self-rating scale developed in this study consisted of sixty statements accompanied by a 1-5 Likert scale. Based on the factors analysis, 16 items were still in the draft and 44 items were declared valid and reliable. Five factors that are determined are: awareness (8 items, α = 0.717), learning strategies (9 items, α = 0.806), and learning activities (7 items, α = 0.777), evaluation (8 items, α = 0.790), and interpersonal skills (12 items, α = 0.907). The reliability coefficient (Cronbach Alpha) of the self-rating scale is α = 0.933, with the required reliability criteria is 0.5. On a scale conversion of 1-100, the student’s highest score of SDL skills is 93, and the lowest score SDL skills are 31 (SD = 20.334).


2015 ◽  
Vol 12 (2) ◽  
pp. 4-19
Author(s):  
Henry Khiat ◽  

Self-directed learning is an important form of adult learning (Caffarella, 1993; Knowles, 1975; Knowles, Holton & Swanson, 2005; Merriam, 2001; Merriam & Caffarella, 1999). The strategies of self-directed learning allow adult learners to cope better with their studies while fulfilling family, work and other commitments. This study conceptualised and validated a learning diagnostic test in the context of SIM University (UniSIM), an adult learning institution, in Singapore. The learning diagnostic tool allows the students to identify their strengths and weaknesses in areas of self-directed learning. The study employed a survey research methodology. 1,960 students responded to the survey, and the statistical methods of exploratory and confirmatory factor analysis were used in the analysis. The confirmatory factor analysis showed that the final model of self-directed learning, as actualised through the items of the learning diagnostic tool, has a good fit on the data, thus affirming the strong validity and reliability of the tool. This validated learning diagnostic tool currently serves as one of the student learning support measures to help UniSIM students to be self-directed learners.


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