The Self-Rating Scale of Self-Directed Learning (SRSSDL): A factor analysis of the Italian version

2013 ◽  
Vol 33 (12) ◽  
pp. 1511-1516 ◽  
Author(s):  
Lucia Cadorin ◽  
Guido Bortoluzzi ◽  
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).


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Archana Prabu Kumar ◽  
Abirami Omprakash ◽  
Prabu Kumar Chokkalingam Mani ◽  
Narasimman Swaminathan ◽  
K. Maheshkumar ◽  
...  

Abstract Background The Self-Directed Learning Readiness Scale (SDLRS) is a tool that helps in the assessment of the readiness of the students to pursue Self-Directed Learning (SDL). There are no documented studies on the validation of internal structure of the SDLRS among Indian medical students. Hence, the objective of this study is to validate the internal structure of SDLRS among Indian medical students using factor analysis and the Structural Equation Modelling (SEM) approach. Methods We administered Fisher’s 40-item SDLRS to 750 students after receiving the ethics clearance and the author’s permission and taking written informed consent from all the study participants (response rate: 92%). The exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and Cronbach’s alpha were performed using SPSS version 25 and the Lavaan package of R version 3.1.2. Results The values of the comparative fit index (CFI), standardised root-mean-square residual (SRMR), and root mean square error of approximation (RMSEA) were ≥ 0.9, ≤ 0.08, and ≤ 0.08, respectively, for a model fit to be acceptable. EFA showed that except for Q2 (loading score: 0.210), Q12 (loading score: 0.384), Q13 (loading score: 0.362), and Q25 (loading score: -0.219), all the items loaded well. After the exclusion of the aforementioned items, the factor loading scores for the items in the self-management, desire for learning, and self-control factors ranged from 0.405 to 0.753 (Cronbach α: 0.775), 0.396 to 0.616 (Cronbach α: 0.730), and 0.427 to 0.556 (Cronbach α: 0.799), respectively. The updated model was used for CFA, which displayed a good model fit. Conclusions The resultant model consisting of 36 items is shown to have internal structure validity for Indian version of SDLRS, which can be used to assess medical students.


2005 ◽  
Vol 39 (4) ◽  
pp. 370-379 ◽  
Author(s):  
J Dennis Hoban ◽  
Sonya R Lawson ◽  
Paul E Mazmanian ◽  
Al M Best ◽  
Hugo R Seibel

2011 ◽  
Vol 37 (1) ◽  
Author(s):  
Karina De Bruin ◽  
Gideon P. De Bruin

Orientation: This study reports on the development of an instrument that one can use to measure learner self-directedness in work environments.Research purpose: The purpose of this study was to develop a scale to measure learner selfdirectedness in the workplace.Motivation for the study: Learner self-directedness appears to be an essential characteristic to keep up with the demands of the world of work. There is no brief instrument currently available to measure learner self-directedness in the workplace.Research design, approach and method: The researchers fitted the responses of 519 participantsto 22 items to the Rasch rating scale model.Main findings: The researchers retained 13 of the original 22 items. The hierarchy of item locations supported the construct validity of the scale. Hierarchical factor analysis showed the presence of one higher-order factor and three residual first-order factors. The higher-order factor accounted for almost five times as much of the common variance as did the strongest residual first-order factor. The Rasch analysis and the factor analysis suggested that the 13-item Learner Self-Directedness in the Workplace Scale (LSWS) measures a single one-dimensional construct (α = 0.93).Practical/managerial implications: The instrument can help employers to understand and support employees’ self-directed learning efforts.Contribution/value-add: This research resulted in a brief instrument to measure learner selfdirectedness in the workplace. This instrument is unique in the South African context.


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