Cargando…

Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study

BACKGROUND AND AIM: Given the absence of a scale specially designed to measure willingness to mobile learning (m-learning) in medical sciences students, the present study was conducted to design and evaluate the psychometric properties of “willingness to m-learning” scale for medical sciences studen...

Descripción completa

Detalles Bibliográficos
Autores principales: Baghcheghi, Nayereh, Koohestani, Hamid Reza, Karimy, Mahmood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377139/
https://www.ncbi.nlm.nih.gov/pubmed/32766326
http://dx.doi.org/10.4103/jehp.jehp_153_20
_version_ 1783562166245261312
author Baghcheghi, Nayereh
Koohestani, Hamid Reza
Karimy, Mahmood
author_facet Baghcheghi, Nayereh
Koohestani, Hamid Reza
Karimy, Mahmood
author_sort Baghcheghi, Nayereh
collection PubMed
description BACKGROUND AND AIM: Given the absence of a scale specially designed to measure willingness to mobile learning (m-learning) in medical sciences students, the present study was conducted to design and evaluate the psychometric properties of “willingness to m-learning” scale for medical sciences students. METHODOLOGY: The study was carried out as a mixed-method study in two phases at Saveh University of Medical Sciences in 2019. Phase one was a qualitative study to elaborate on the students' perception of m-learning. Then, the statements were extracted, and statement pool was completed through reviewing the text. In the second phase, the psychometric properties including face, content, and construct validities (using explorative factor analysis), internal consistency (Cronbach's alpha), and test–retest reliability (intercluster correlation test) were measured. A total of 482 students who were selected randomly participated in the second phase. Data analysis was done with MAXQDA software (VERBI Software 2019, Berlin, Germany) for qualitative data and SPSS 19 software (SPSS Inc., Chicago, IL, USA) for quantitative data. RESULTS: Based on qualitative content analysis and literature review, 92 statements were extracted. After checking face and content validity, 55 statements remained in the study. Construct validity of the questionnaire based on explorative factor analysis removed 10 more statements and the remaining 45 statements were categorized into nine factors, namely technophilia, perceived attraction, perceived ease, perceived conflict, self-management, attitude, behavioral intention to use, educational use, and efficacy of m-learning. Reliability of the scale was obtained as 0.95 based on Cronbach's alpha and stability was checked using test–retest method (intercluster correlation coefficient; r = 0.92). CONCLUSION: Willingness to m-learning scale had an acceptable reliability and validity in medical sciences students. Therefore, it can be used for medical sciences students for improve learning and education.
format Online
Article
Text
id pubmed-7377139
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-73771392020-08-05 Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study Baghcheghi, Nayereh Koohestani, Hamid Reza Karimy, Mahmood J Educ Health Promot Original Article BACKGROUND AND AIM: Given the absence of a scale specially designed to measure willingness to mobile learning (m-learning) in medical sciences students, the present study was conducted to design and evaluate the psychometric properties of “willingness to m-learning” scale for medical sciences students. METHODOLOGY: The study was carried out as a mixed-method study in two phases at Saveh University of Medical Sciences in 2019. Phase one was a qualitative study to elaborate on the students' perception of m-learning. Then, the statements were extracted, and statement pool was completed through reviewing the text. In the second phase, the psychometric properties including face, content, and construct validities (using explorative factor analysis), internal consistency (Cronbach's alpha), and test–retest reliability (intercluster correlation test) were measured. A total of 482 students who were selected randomly participated in the second phase. Data analysis was done with MAXQDA software (VERBI Software 2019, Berlin, Germany) for qualitative data and SPSS 19 software (SPSS Inc., Chicago, IL, USA) for quantitative data. RESULTS: Based on qualitative content analysis and literature review, 92 statements were extracted. After checking face and content validity, 55 statements remained in the study. Construct validity of the questionnaire based on explorative factor analysis removed 10 more statements and the remaining 45 statements were categorized into nine factors, namely technophilia, perceived attraction, perceived ease, perceived conflict, self-management, attitude, behavioral intention to use, educational use, and efficacy of m-learning. Reliability of the scale was obtained as 0.95 based on Cronbach's alpha and stability was checked using test–retest method (intercluster correlation coefficient; r = 0.92). CONCLUSION: Willingness to m-learning scale had an acceptable reliability and validity in medical sciences students. Therefore, it can be used for medical sciences students for improve learning and education. Wolters Kluwer - Medknow 2020-06-30 /pmc/articles/PMC7377139/ /pubmed/32766326 http://dx.doi.org/10.4103/jehp.jehp_153_20 Text en Copyright: © 2020 Journal of Education and Health Promotion http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Baghcheghi, Nayereh
Koohestani, Hamid Reza
Karimy, Mahmood
Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title_full Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title_fullStr Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title_full_unstemmed Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title_short Design and psychometric properties of willingness to mobile learning scale for medical sciences students: A mixed-methods study
title_sort design and psychometric properties of willingness to mobile learning scale for medical sciences students: a mixed-methods study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377139/
https://www.ncbi.nlm.nih.gov/pubmed/32766326
http://dx.doi.org/10.4103/jehp.jehp_153_20
work_keys_str_mv AT baghcheghinayereh designandpsychometricpropertiesofwillingnesstomobilelearningscaleformedicalsciencesstudentsamixedmethodsstudy
AT koohestanihamidreza designandpsychometricpropertiesofwillingnesstomobilelearningscaleformedicalsciencesstudentsamixedmethodsstudy
AT karimymahmood designandpsychometricpropertiesofwillingnesstomobilelearningscaleformedicalsciencesstudentsamixedmethodsstudy