Background: Computer anxiety can significantly impact students' academic performance and technology usage. This study examines the psychometric properties of the Persian Abbreviated Technology Anxiety Scale (ATAS). Methods: This cross-sectional study was conducted among students from five public and private universities in Hormozgan province, Iran, from October to December 2022. A total of 1158 students were selected to respond to the ATAS (having two dimensions with scores ranging from 11 to 55) and the Computer Anxiety Scale (CAS) (having six dimensions with scores ranging from 22 to 110). The CAS was used to establish concurrent validity with the ATAS. The ATAS underwent expert review, including back-translation and content validation. Structural validity was analyzed through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) using SPSS 25 and LISREL 8.8 software. Reliability was determined using split-half, test-retest, and Cronbach's alpha methods, with a significance threshold of 0.05. Results: The majority of participants were female (62.5%) and at the undergraduate level (46.5%). The ATAS demonstrated strong content validity, with all items exceeding the required Content Validity Ratio (CVR) and Content Validity Index (CVI) thresholds. A significant positive correlation with the CAS (r=0.51, p<0.001) supported its concurrent validity. Factor analysis confirmed a two-factor structure—technology change anxiety (23.26±9.15) and technology incompetence anxiety (8.78±3.61)—accounting for 60.9% of the variance. The model's fit indices were acceptable. High reliability was evident, with an overall Cronbach's alpha of 0.96 and subscale ranges from 0.90 to 0.96. Test-retest reliability was 0.88 (p<0.01), and split-half reliability scored 0.92 and 0.93 for each half. Conclusion: The ATAS, with its 11 questions and two dimensions, possesses high validity and reliability. Therefore, it can serve as a credible and dependable tool for assessing technology anxiety and its facets among Iranian students.
Popoola SO, Adedokun OO. Computer self-efficacy, computer anxiety, cognitive skills, and use of electronic library resources by social science undergraduates in a tertiary university in Nigeria. J Librariansh Inf Sci. 2021;55(1):111-22. doi: 10.1177/09610006211063938.
Liu X-Q, Guo Y-X, Xu Y. Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives. World J Clin Cases. 2023;11(7):1442-57. doi: 10.12998/wjcc.v11.i7.1442. PubMed PMID: 36926387; PubMed Central PMCID: PMC10011984.
Onah BI, Ede MO, Eze BN, Uzoegwu CR, Mgboji C, Agbo GC, et al. Effectiveness of rational emotive behavior education (REBE) on computer anxiety among school teachers enrolled in e-learning. Medicine. 2023;102(30):e34303. doi: 1097/MD.0000000000034303. PubMed PMID: 37505176; PubMed Central PMCID: PMC10378744.
Rosen LD, Weil MM. Computer anxiety: A cross-cultural comparison of university students in ten countries. Comput Human Behav. 1995;11(1):45-64. doi: 10.1016/0747-5632(94)00021-9.
Ahmad R. Causal Model of the Relationship between Intelligence Beliefs and ICT Acceptance: Mediating Role of Achievement Goals, Computer Anxiety, and Computer Self-Efficacy. y Journal of Research in School and Virtual Learning. 2016;4(14):81-91. Available from: https://etl.journals.pnu.ac.ir/article_3165.html?lang=en. [In Persian]
Jahangir G, Kiani Mr, Talebzadeh M. The Role of Computer Anxiety in Acceptance of Iranian Public Library Management System Based on the Unified Theory of Acceptance and Use of Technology. Research on Information Science and Public Libraries. 2020, 26(2): 341-67. Available from: http://publij.ir/article-1-2123-en.html. [In Persian]
Yousefi R, Mohseni S. Relationship between Digital Divide and Computer Anxiety in University Students. Information and Communication Technology in Educational Sciences. 2012;2(3):83-105. [In Persian]
Almaiah MA, Alfaisal R, Salloum SA, Hajjej F, Thabit S, El-Qirem FA, et al. Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics. 2022;11(22):3662. doi: 10.3390/electronics11223662.
Meneses III JM. Computer Anxiety and ICT Utilization of Program Heads in a State University. Int J Inf Educ Technol. 2022;12(10). doi: 10.18178/ijiet.2022.12.10.1727.
Memon, A. B., Issani, F. N., Khooharo, A. A., Koondhar, M. Y., Shar, A. A., Sohu, N., & Khatti, M. Computer Attitude of Entry Level University Students in Rural Areas of Pakistan: A Case Study. Journal of Education and Social Studies. 2023;4(3):455–65. doi: 10.52223/jess.2023.4305.
Stamatiou YC, Halkiopoulos C, Giannoulis A, Antonopoulou H. Utilizing a restricted-access e-learning platform for reform, equity, and self-development in correctional facilities. Emerg Sci J. 2022;6:241-52. doi: 10.28991/ESJ-2022-SIED-017.
Anmella G, Sanabra M, Primé-Tous M, Segú X, Cavero M, Morilla I, et al. Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies. J Med Internet Res. 2023;25:e43293. doi: 10.2196/43293. PubMed PMID: 36719325; PubMed Central PMCID: PMC10131622.
Thuillard S, Adams M, Jelmini G, Schmutz S, Sonderegger A, Sauer J. When humans and computers induce social stress through negative feedback: Effects on performance and subjective state. Comput Human Behav. 2022;133(c):107270. doi: 10.1016/j.chb.2022.107270.
Heinssen RK, Glass CR, Knight LA. Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale. Comput Hum Behav. 1987;3(1):49-59. doi: 10.1016/0747-5632(87)90010-0.
Durndell A, Haag Z. Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample. Computers in Human Behavior. 2002;18(5):521-35. doi: 10.1016/S0747-5632(02)00006-7.
Sizer LD. Computer Anxiety and Work-Related Computer-Based Test Performance: Employee Perceptions. Grand Canyon University; 2023.
Wilson ML, Huggins-Manley AC, Ritzhaupt AD, Ruggles K. Development of the Abbreviated Technology Anxiety Scale (ATAS). Behav Res Methods. 2023;55(1):185-99. doi: 10.3758/s13428-022-01820-9. PubMed PMID: 35338456.
Gunawan J, Marzilli C, Aungsuroch Y. Establishing appropriate sample size for developing and validating a questionnaire in nursing research. Belitung Nurs J. 2021;28;7(5):356-60. doi: 10.33546/bnj.1927. PubMed PMID: 37496511; PubMed Central PMCID: PMC10367972.
Comrey, A.L. and Lee, H.B. A First Course in Factor Analysis, 2nd Edition. Psychology Press: Hove; 2013.
Cochran W.G. Sampling Techniques. 3rd ed. John Wiley & Sons, Inc.: New York, NY, USA; 1977.
Krejcie RV, Morgan DW. Determining sample size for research activities. Educational and Psychological Measurement. 1970;30(3):607–10. doi: 10.1177/001316447003000308.
Weil MM, Rosen LD. The psychological impact of technology from a global perspective: A study of technological sophistication and technophobia in university students from twenty-three countries. Comput Hum Behav. 1995;11(1):95-133. doi: 10.1016/0747-5632(94)00026-E.
Rahimi M, Yadollahi S. Validation of Persian Version of Computer Anxiety Rating Scale. Information and Communication Technology in Educational Sciences. 2014;4(4):117-41. Available from: https://sanad.iau.ir/en/Journal/ictedu/Article/1006490.
Sanjari S, Mohammadi Soleimani MR. Validation of the Knowledge Sharing Behavior Scale Among Nursing and Midwifery Faculty Members in Iran: Psychometric Properties and Cross-Cultural Adaptation. Middle East J Rehabil Health Stud. 2024;11(1):e134886. doi: 10.5812/mejrh-134886.
Romero Jeldres M, Díaz Costa E, Faouzi Nadim T. A review of Lawshe’s method for calculating content validity in the social sciences. Front Educ. 2023;8. doi: 10.3389/feduc.2023.1271335.
Waltz CF, Bausell BR. Nursing research: design statistics and computer analysis. Davis Fa; 1981. Available from: http://ci.nii.ac.jp/ncid/BA22555035.
Yeganeh H, Parvaresh H, Dehghani Ghanataghestani M, Mohammadi Soleimani M. Validation of the HSE Assessment Tools in the Kerman Province Steel Industry Complex: A Case Study. sjsph 2023; 20 (4) :423-434. Available: http://sjsph.tums.ac.ir/article-1-6181-en.html. [In Persian]
Sanjari S, Kamali A, Amirfakhraei A, Mohammadi Soleimani MR, Afshar EK. Construction and validation of a self-report violence scale in Iranian women. J Fundam Ment Health. 2021;23(3):181-89 . doi: 10.22038/jfmh.2021.18583.
Sanjari S, Mohammadi Soleimani MR. Validation of the Persian Version of the Engagement in E-Learning Scale in Students of the School of Nursing and Midwifery in Iran. Middle East J Rehabil Health Stud. 2023 July; 10(3):e134881. doi: 10.5812/mejrh-134881.
Yeganeh H, Parvaresh H, Dehghani M, Soltani M. Construction and Standardization of Performance Evaluation test of Health, Safety and Environment Management Systems of Industrial Sector Contractors. Journal of Healthcare Management. 2021;12(3):73-86. doi: 10.30495/jhm.2022.65791.11022. [In Persian]
Karimian Z, Masoudi M. Identification and analysis of e-Learning development components and validation of e-LDC questionnaire based on four-lens model. E-learning and Digital Media. 2024. doi: 10.1177/20427530241240797.
Karimian Z, Mokarram P, Zarifsanaiey N. Comparison of the teaching clinical biochemistry in face-to-face and the flex-flipped classroom to medical and dental students: a quasi-experimental study from IRAN. BMC Med Educ. 2024;24(1):137. doi: 10.1186/s12909-024-05051-8. PubMed PMID: 38350863; PubMed Central PMCID: MCPMC10863239.
Karimian Z, Moradi M, Zarifsanaiey N, Kashefian-Naeeini S. Which educational messengers do medical students prefer for receiving health information? Development and Psychometrics of using Health Messengers Questionnaire. BMC Public Health. 2024;24(1):139. doi: 10.1186/s12889-023-17400-1. PubMed PMID: 38195427; PubMed Central PMCID: PMC10777639.
Barani H, Mohammadi Soleimani MR, Amirfakhraei A, Wahab Samavi SA. Transcultural Adaptation and Psychometric Evaluation of the Online Learning Self-Efficacy Scale among High School Seniors in Bandar Abbas City. Interdiscip J Virtual Learn Med Sci. 2024;15(1):62-75. doi: 10.30476/ijvlms.2023.100230.1258.
Karimian Z, Barkhor A, Mehrabi M, Khojasteh L. Which Virtual Education Methods Do E-students Prefer? Design and Validation of Virtual Education Preferences Questionnaire (VEPQ). BMC Med Educ. 2023;23(1):722. doi: 10.1186/s12909-023-04687-2. PubMed PMID: 37789327; PubMed Central PMCID: PMC10548741.
Yeganeh H, Parvaresh H, Dehghani Ghanataghestani M, Mohammadi Soleimani M. Validation of the HSE Assessment Tools in the Kerman Province Steel Industry Complex: A Case Study. sjsph 2023; 20(4) :423-434. Available from: http://sjsph.tums.ac.ir/article-1-6181-en.html. [In Persian]
Sanjari S, Rafati F, Amirfakhraei A, Mohamade Solymane MR, Karimi Afshar E. Evaluation of factor structure and validation of electronic form of CAQ fear of delivery questionnaire in pregnant women. Journal of Health Psychology. 2021;10(2):57-70. doi: 10.30473/HPJ.2021.53031.4830. [In Persian]
Torabi B, Amirfakhrae A, Rezaei Gazaki P, Mohammadi Soleimani MR. Investigation of factor structure and validation of Ryff’s Psychological Well-Being Scale in working children in the corona crisis: A descriptive study. JRUMS. 2022;21(2):149-64. doi: 10.52547/jrums.21.2.149.
Pfaffinger KF, Reif JAM, Huber AK, Eger VM, Dengler MK, Czakert JP, et al. Digitalisation anxiety: development and validation of a new scale. Discov Ment Health. 2021;1(1):3. doi: 10.1007/s44192-021-00003-w.
Wang Y-Y, Wang Y-S. Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments. 2022;30(4):619-34. doi: 10.1080/10494820.2019.1674887.
Fischer T, Reuter M, Riedl R. The Digital Stressors Scale: Development and Validation of a New Survey Instrument to Measure Digital Stress Perceptions in the Workplace Context. Front Psychol. 2021;12:607598. doi: 10.3389/fpsyg.2021.607598. PubMed PMID: 33776836; PubMed Central PMCID: MCPMC7994533.
Taber KS. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ. 2018;48(6):1273-96. doi: 10.1007/s11165-016-9602-2.
Sanjari S, Fakhraei AA, Soleimani MRM, Alidousti K. Validation of the slade fear of childbirth scale for pregnancy in a sample of Iranian women: a cross-sectional study. CJMB. 2022;9(3):138-146. doi: 10.34172/cjmb.2022.24.
Razavi, S. M., Haji Alizadeh, K., & Amirfakhraei, A. (2024). Psychometric Properties of the Persian Version of Abbreviated Technology Anxiety Scale: Insights from University Students in Iranian Context. Interdiscip J Virtual Learn Med Sci, 15(3), 241-255. doi: 10.30476/ijvlms.2024.102118.1297
MLA
Seyyed Mohammad Razavi; Kobra Haji Alizadeh; Azita Amirfakhraei. "Psychometric Properties of the Persian Version of Abbreviated Technology Anxiety Scale: Insights from University Students in Iranian Context", Interdiscip J Virtual Learn Med Sci, 15, 3, 2024, 241-255. doi: 10.30476/ijvlms.2024.102118.1297
HARVARD
Razavi, S. M., Haji Alizadeh, K., Amirfakhraei, A. (2024). 'Psychometric Properties of the Persian Version of Abbreviated Technology Anxiety Scale: Insights from University Students in Iranian Context', Interdiscip J Virtual Learn Med Sci, 15(3), pp. 241-255. doi: 10.30476/ijvlms.2024.102118.1297
VANCOUVER
Razavi, S. M., Haji Alizadeh, K., Amirfakhraei, A. Psychometric Properties of the Persian Version of Abbreviated Technology Anxiety Scale: Insights from University Students in Iranian Context. Interdiscip J Virtual Learn Med Sci, 2024; 15(3): 241-255. doi: 10.30476/ijvlms.2024.102118.1297