International Journal of Computer Science & Network Security

국제컴퓨터통신보호논문지학회 (International Journal of Computer Science & Network Security)
권호 표지
DOI QR코드

DOI QR Code

The Psychometric Properties of Effectiveness Scale in Distance-Digital

  • Almaleki, Deyab A. (Department of Evaluation, Measurement and Research, Umm Al-Qura University)
  • 투고 : 2021.12.05
  • 발행 : 2021.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study intended to test the structure of the latent factor of an effectiveness scale and the stability of invariance across groups of students' classifications (gender and levels of education). In the large, non-clinical sample (850), students completed the effectiveness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students' classifications. The findings of the CFA indicated support for the original four-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of levels of education. The scale exists in groups of levels of education assess the same concepts of, excluding Items 15 and 10. Given that this study is the first investigation for the structure of the effectiveness scale.

키워드

참고문헌

  1. D. Almaleki, "Examinee Characteristics and their Impact on the Psychometric Properties of a Multiple Choice Test According to the Item Response Theory (IRT)," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6889-6901, 2021. https://doi.org/10.48084/etasr.4056
  2. D. Almaleki, "Stability of the Data-Model Fit over Increasing Levels of Factorial Invariance for Different Features of Design in Factor Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6849-6856, 2021. https://doi.org/10.48084/etasr.4047
  3. D. Almaleki, "The Precision of the Overall Data-Model Fit for Different Design Features in Confirmatory Factor Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6766-6774, 2021. https://doi.org/10.48084/etasr.4025
  4. S. Dhawan, "Online learning: A panacea in the time of COVID-19 crisis," Journal of Educational Technology Systems, vol. 49, no. 1, pp. 5-22, 2020. https://doi.org/10.1177/0047239520934018
  5. T. Downer, M. Gray, and T. Capper, "Online learning and teaching approaches used in midwifery programs: A scoping review," Nurse Education Today, p. 104980, 2021.
  6. M. Ebner et al., "COVID-19 epidemic as E-learning boost? Chronological development and effects at an Austrian university against the background of the concept of 'E-Learning Readiness,'" Future Internet, vol. 12, no. 6, p. 94, 2020. https://doi.org/10.3390/fi12060094
  7. B. O. Ogunleye and V. Island, "Strategies for reducing science learning difficulties at lower educational levels and promoting effective science education in Nigeria," KIU Journal of Education, vol. 14, no. 1, pp. 141-154, 2019.
  8. J. Daniel, "Education and the COVID-19 pandemic," Prospects, vol. 49, no. 1, pp. 91-96, 2020. https://doi.org/10.1007/s11125-020-09464-3
  9. P. Ferguson, M. McKenzie, D. Mercieca, D. P. Mercieca, and L. Sutherland, "Primary Head Teachers' construction and re-negotiation of care in COVID-19 lockdown in Scotland," in Frontiers in Education, 2021, vol. 6, p. 88.
  10. J. Neroni, C. Meijs, H. J. Gijselaers, P. A. Kirschner, and R. H. de Groot, "Learning strategies and academic performance in distance education," Learning and Individual Differences, vol. 73, pp. 1-7, 2019. https://doi.org/10.1016/j.lindif.2019.04.007
  11. D. Vlachopoulos and A. Makri, "Online communication and interaction in distance higher education: A framework study of good practice," International Review of Education, vol. 65, no. 4, pp. 605-632, 2019. https://doi.org/10.1007/s11159-019-09792-3
  12. M. H. Rajab, A. M. Gazal, and K. Alkattan, "Challenges to online medical education during the COVID-19 pandemic," Cureus, vol. 12, no. 7, 2020.
  13. A. Fritz, V. G. Haase, and P. Rasanen, "International handbook of mathematical learning difficulties," From the Laboratory to the Classroom. Cham: Springer, 2019.
  14. T. Hart, D. Bird, and R. Farmer, "Using blackboard collaborate, a digital web conference tool, to support nursing students placement learning: A pilot study exploring its impact," Nurse education in practice, vol. 38, pp. 72-78, 2019. https://doi.org/10.1016/j.nepr.2019.05.009
  15. A. Ikhwan, "Management Of Learning Assessment Using Curriculum 2013 (Case Study In Islamic Primary School (MI) Muhammadiyah 5 Wonoasri Ponorogo-East Java-Indonesia)," MUADDIB: Studi Kependidikan Dan Keislaman, vol. 8, no. 2, pp. 108-123, 2019. https://doi.org/10.24269/muaddib.v8i2.1422
  16. I. A. Dominguez, M. del Mar Espinosa, L. Romero, and M. Dominguez, "Blended learning in industrial design," Hosted by UNED, Madrid (Spain), p. 48.
  17. J. T. Clark, "Distance education," in Clinical engineering handbook, Elsevier, 2020, pp. 410-415.
  18. M. C. Reynolds, M. A. Sutherland, and I. Palacios, "Exploring the use of technology for sexual health risk-reduction among ecuadorean adolescents," Annals of global health, vol. 85, no. 1, 2019.
  19. T. Van Veen et al., "Potential of mobile health technology to reduce health disparities in underserved communities," Western Journal of Emergency Medicine, vol. 20, no. 5, p. 799, 2019.
  20. L. A. Alea, M. F. Fabrea, R. D. A. Roldan, and A. Z. Farooqi, "Teachers' Covid-19 awareness, distance learning education experiences and perceptions towards institutional readiness and challenges," International Journal of Learning, Teaching and Educational Research, vol. 19, no. 6, pp. 127-144, 2020.
  21. M. Simonson, S. M. Zvacek, and S. Smaldino, "Teaching and Learning at a Distance: Foundations of Distance Education 7th Edition," 2019.
  22. M. Garcia-Alberti, F. Suarez, I. Chiyon, and J. C. Mosquera Feijoo, "Challenges and Experiences of Online Evaluation in Courses of Civil Engineering during the Lockdown Learning Due to the COVID-19 Pandemic," Education Sciences, vol. 11, no. 2, p. 59, 2021. https://doi.org/10.3390/educsci11020059
  23. E. P. Marpa, "Technology in the teaching of mathematics: An analysis of teachers' attitudes during the COVID-19 pandemic," International Journal on Studies in Education, vol. 3, no. 2, pp. 92-102, 2021. https://doi.org/10.46328/ijonse.36
  24. M. Churiyah, S. Sholikhan, F. Filianti, and D. A. Sakdiyyah, "Indonesia education readiness conducting distance learning in Covid-19 pandemic situation," International Journal of Multicultural and Multireligious Understanding, vol. 7, no. 6, pp. 491-507, 2020. https://doi.org/10.18415/ijmmu.v7i6.1833
  25. K. M. L'Ecuyer, "Clinical education of nursing students with learning difficulties: An integrative review (part 1)," Nurse education in practice, vol. 34, pp. 173-184, 2019. https://doi.org/10.1016/j.nepr.2018.11.015
  26. D. Almaleki, "Empirical Evaluation of Different Features of Design in Confirmatory Factor Analysis," 2016.
  27. C. S. Wardley, E. B. Applegate, A. D. Almaleki, and J. A. Van Rhee, "A comparison of Students' perceptions of stress in parallel problem-based and lecture-based curricula," The Journal of Physician Assistant Education, vol. 27, no. 1, pp. 7-16, 2016. https://doi.org/10.1097/JPA.0000000000000060
  28. C. S. Wardley, E. B. Applegate, A. D. Almaleki, and J. A. Van Rhee, "Is Student Stress Related to Personality or Learning Environment in a Physician Assistant Program?," The Journal of Physician Assistant Education, vol. 30, no. 1, pp. 9-19, 2019. https://doi.org/10.1097/JPA.0000000000000241
  29. D. A. Almaleki, "Challenges Experienced Use of Distance-Learning by High School Teachers Responses to Students with Depression," International Journal of Computer Science and Network Security, vol. 21, no. 5, pp. 192-198, May 2021, doi: 10.22937/IJCSNS.2021.21.5.27.
  30. D. A. Almaleki, "The Psychometric Properties of Distance-Digital Subjective Happiness Scale," International Journal of Computer Science and Network Security, vol. 21, no. 5, pp. 211-216, May 2021, doi: 10.22937/IJCSNS.2021.21.5.29.
  31. D. A. Almaleki, R. A. Alhajaji, and M. A. Alharbi, "Measuring Students' Interaction in Distance Learning Through the Electronic Platform and its Impact on their Motivation to Learn During Covid-19 Crisis," International Journal of Computer Science and Network Security, vol. 21, no. 5, pp. 98-112, May 2021, doi: 10.22937/IJCSNS.2021.21.5.16.
  32. D. A. Almaleki, W. W. Khayat, T. F. Yally, and A. A. Al-hajjaji, "The Effectiveness of the Use of Distance-Evaluation Tools and Methods among Students with Learning-Difficulties from the Teachers' Point of View," International Journal of Computer Science and Network Security, vol. 21, no. 5, pp. 243-255, May 2021, doi: 10.22937/IJCSNS.2021.21.5.34.
  33. "Evaluating Psychological Experiences of Saudi Students in Distan ." ce-Learning https://scholar.google.com/citations?view_op=view_citation&hl=en&user=RWnye6UAAAAJ&citation_for_view=RWnye6UAAAAJ:kNdYIx-mwKoC (accessed Oct. 13, 2021).
  34. "Factor Structure, Validity and Reliability of The Teacher Satisfaction Scale (TSS) In Distance-Learning During Covid-19 Crisis: Invariance Across Some Teachers' Characteristics." https://scholar.google.com/citations?view_op=view_citation&hl=en&user=RWnye6UAAAAJ&citation_for_view=RWnye6UAAAAJ:MXK_kJrjxJIC (accessed Oct. 13, 2021).
  35. "The Effect of Methods of Estimating the Ability on The Accuracy and Items Parameters According to 3PL Model." https://scholar.google.com/citations?view_op=view_citation&hl=en&user=RWnye6UAAAAJ&citation_for_view=RWnye6UAAAAJ:8k81kl-MbHgC (accessed Oct. 13, 2021).
  36. " Digital The Psychometric Properties of Distance Subjective Happiness Scale." https://scholar.google.com/citations?view_op=view_citation&hl=en&user=RWnye6UAAAAJ&citation_for_view=RWnye6UAAAAJ:UebtZRa9Y70C (accessed Oct. 13, 2021).
  37. G. T. Brown, "Is assessment for learning really assessment?," in Frontiers in Education, 2019, vol. 4, p. 64.
  38. S. El Firdoussi, M. Lachgar, H. Kabaili, A. Rochdi, D. Goujdami, and L. El Firdoussi, "Assessing Distance Learning in Higher Education during the COVID-19 Pandemic," Education Research International, vol. 2020, 2020.
  39. J. B. Osuna, J. Gutierrez-Castillo, M. Llorente-Cejudo, and R. V. Ortiz, "Difficulties in the incorporation of augmented reality in university education: Visions from the experts," Journal of New Approaches in Educational Research (NAER Journal), vol. 8, no. 2, pp. 126-141, 2019. https://doi.org/10.7821/naer.2019.7.409
  40. K. E. Stonard, "'Technology was designed for this': Adolescents' perceptions of the role and impact of the use of technology in cyber dating violence," Computers in Human Behavior, vol. 105, p. 106211, 2020. https://doi.org/10.1016/j.chb.2019.106211
  41. S. S. Tzanova and R. I. Radonov, "Evaluation of Multimedia Learning Materials in Microelectronics," in 2019 IEEE XXVIII International Scientific Conference Electronics (ET), 2019, pp. 1-4.
  42. T. Raharjo and S. Wimbarti, "Assessment of learning difficulties in the category of children with dyslexia," Jurnal Konseling dan Pendidikan, vol. 8, no. 2, pp. 79-85, 2020. https://doi.org/10.29210/141600
  43. S. Lyubomirsky and H. S. Lepper, "A measure of subjective happiness: Preliminary reliability and construct validation," Social indicators research, vol. 46, no. 2, pp. 137-155, 1999. https://doi.org/10.1023/A:1006824100041