Journal of Digital Educational Technology

• Aleven, V., Stahl, E., Schworm, S., Fischer, F., & Wallace, R. (2003). Help seeking and help design in interactive learning environments. Review of Educational Research, 73(3), 277-320. https://doi.org/10.3102/00346543073003277
• Antaki, C., Barnes, R., & Leudar, I. (2005). Self-disclosure as a situated interactional practice. British Journal of Social Psychology, 44(2), 181-199. https://doi.org/10.1348/014466604x15733
• Arbreton, A. (2012). Student goal orientation and help-seeking strategy use. In S. A. Karabenick (Ed.), Strategic help seeking (pp. 95-116). Routledge.
• Bagby, R. M., Taylor, G. J., & Atkinson, L. (1988). Alexithymia: A comparative study of three self-report measures. Journal of Psychosomatic Research, 32, 107-116. https://doi.org/10.1016/0022-3999(88)90094-3
• Bates, D. M., Mächler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/10.18637/jss.v067.i01
• Bjornsen, C. A. (2018). Social media use and emerging adulthood. In M. Zupančič, & M. Puklek Levpušček (Eds.), Prehod v odraslost: Sodobni trendi in raziskave [Emerging adulthood: Current trends and research] (pp. 223-261). Znanstvena Založba Filozofske Fakultete [Scientific Publishing House of the Faculty of Arts].
• Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
• Bovill, C. (2019). Student-staff partnerships in learning and teaching: An overview of current practice and discourse. Journal of Geography in Higher Education, 43(4), 385-398. https://doi.org/10.1080/03098265.2019.1660628
• Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005
• Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers.
• Carlson, K. D., & Herdman, A. O. (2012). Understanding the impact of convergent validity on research results. Organizational Research Methods, 15, 17-32. https://doi.org/10.1177/1094428110392383
• Chan, L. L., & Idris, N. (2017). Validity and reliability of the instrument using exploratory factor analysis and Cronbach’s alpha. International Journal of Academic Research in Business and Social Sciences, 7(10), 400-410. https://doi.org/10.6007/IJARBSS/v7-i10/3387
• Chegg.org. (2022). Global student survey 2022. https://www.chegg.org/global-student-survey-2022
• Chen, B., & Denoyelles, A. (2013). Exploring students’ mobile learning practices in higher education. Educause Review, 7, 36-43.
• Chesney, M. A., Neilands, T. B., Chambers, D. B., Taylor, J. M., & Folkman, S. (2006). A validity and reliability study of the coping self-efficacy scale. British Journal of Health Psychology, 11(3), 421-437. https://doi.org/10.1348/135910705X53155
• Cho, S. H. (2007). Effects of motivations and gender on adolescents’ self-disclosure in online chatting. CyberPsychology & Behavior, 10(3), 339-345. https://doi.org/10.1089/cpb.2006.9946
• Clouder, D. L., Goodman, S., Bluteau, P., Jackson, A., Davies, B., & Merriman, L. (2011). An investigation of “agreement” in the context of interprofessional discussion online: A “netiquette” of interprofessional learning? Journal of Interprofessional Care, 25(2), 112-118. https://doi.org/10.3109/13561820.2010.500445
• Cohen, J. (1988). Set correlation and contingency tables. Applied Psychological Measurement, 12(4), 425-434. https://doi.org/10.1177/014662168801200410
• Colbert, C. Y., Brateanu, A., Nowacki, A. S., Prelosky-Leeson, A., & French, J. C. (2021). An examination of resident perspectives on survey participation and methodology: Implications for educational practice and research. Journal of Graduate Medical Education, 13(3), 390-403. https://doi.org/10.4300/JGME-D-20-01431.1
• Contena, B., Loscalzo, Y., & Taddei, S. (2015). Surfing on social network sites: A comprehensive instrument to evaluate online self-disclosure and related attitudes. Computers in Human Behavior, 49, 30-37. https://doi.org/10.1016/j.chb.2015.02.042
• Cozby, P. C. (1973). Self-disclosure: A literature review. Psychological Bulletin, 79(2), 73-91. https://doi.org/10.1037/h0033950
• Er, E., Kopcha, T. J., Orey, M., & Dustman, W. (2015). Exploring college students’ online help-seeking behavior in a flipped classroom with a web-based help-seeking tool. Australasian Journal of Educational Technology, 31(5), 537-555. https://doi.org/10.14742/ajet.2527
• Fan, Y. H., & Lin, T. J. (2023). Identifying university students’ online academic help-seeking patterns and their role in Internet self-efficacy. The Internet and Higher Education, 56, 100893. https://doi.org/10.1016/j.iheduc.2022.100893
• Ferketich, S. (1991). Focus on psychometrics. Aspects of item analysis. Research in Nursing & Health, 14(2), 165-168. https://doi.org/10.1002/nur.4770140211
• Flint, A., & Millard, L. (2018). “Interactions with purpose”: Exploring staff understandings of student engagement in a university with an ethos of staff-student partnership. International Journal for Students as Partners, 2(2), 21-38. https://doi.org/10.15173/ijsap.v2i2.3410
• Gasman, I., Purper-Ouakil, D., Michel, G., Mouren-Siméoni, M. C., Bouvard, M., Perez-Diaz, F., & Jouvent, R. (2002). Cross-cultural assessment of childhood temperament: A confirmatory factor analysis of the French emotionality activity and sociability (EAS) questionnaire. European Child & Adolescent Psychiatry, 11, 101-107. https://doi.org/10.1007/s00787-002-0248-4
• Glen, S. (2018). Average inter-item correlation: Definition, example. Statistics How To. https://www.statisticshowto.com/average-inter-item-correlation/
• Hayes, B. (2024). Exploring university students’ online self-presentation techniques and self-disclosure behaviors as predictors of staff response. Journal of Digital Educational Technology, 4, ep2405. https://doi.org/10.30935/jdet/14169
• Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7(2), 191-205. https://doi.org/10.1177/1094428104263675
• HESA. (2015). Staff in higher education 2013/2014. https://www.hesa.ac.uk/data-and-analysis/publications/staff-2013-14
• HESA. (2023). Higher education student statistics: UK, 2021/2022. https://www.hesa.ac.uk/news/19-01-2023/sb265-higher-education-student-statistics
• Hill, J., Healey, R. L., West, H., & Déry, C. (2021). Pedagogic partnership in higher education: Encountering emotion in learning and enhancing student wellbeing. Journal of Geography in Higher Education, 45(2), 167-185. https://doi.org/10.1080/03098265.2019.1661366
• Howard, M. C. (2016). A review of exploratory factor analysis decisions and overview of current practices: What we are doing and how can we improve? International Journal of Human-Computer Interaction, 32, 51-62. https://doi.org/10.1080/10447318.2015.1087664
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55. https://doi.org/10.1080/10705519909540118
• Hurley, A. E., Scandura, T. A., Schriesheim, C. A., Brannick, M. T., Seers, A., Vandenberg, R. J., & Williams, L. J. (1997). Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior, 18(6), 667-683. https://doi.org/10.1002/(SICI)1099-1379(199711)18:6<667::AID-JOB874>3.0.CO;2-T
• Ignatius, E., & Kokkonen, M. (2007). Factors contributing to verbal self-disclosure. Nordic Psychology, 59(4), 362-391. https://doi.org/10.1027/1901-2276.59.4.362
• Jebbour, M., & Mouaid, F. (2019). The impact of teacher self-disclosure on student participation in the university English language classroom. International Journal of Teaching and Learning in Higher Education, 31(3), 424-436. https://doi.org/10.21462/jeltl.v3i3.166
• Joinson, A. N. (2001). Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31(2), 177-192. https://doi.org/10.1002/ejsp.36
• Joinson, A. N., & Paine, C. B. (2007). Self-disclosure, privacy and the Internet. The Oxford Handbook of Internet Psychology, 2374252, 237-252.
• Jourard, S. M. (1961). Self-disclosure patterns in British and American college females. The Journal of Social Psychology, 54(2), 315-320. https://doi.org/10.1080/00224545.1961.9922143
• Kassambara, A. (2023). Pipe-friendly framework for basic statistical tests. rstatix. https://cran.r-project.org/web/packages/rstatix/index.html
• Khan, K. A., & Rafi, S. T. (2020). Online education & MOOCs: Teacher self-disclosure in online education and a mediating role of social presence. South Asian Journal of Management, 14, 142-158. https://doi.org/10.21621/sajms.2020141.08
• Kim, J., & Dindia, K. (2011). Online self-disclosure: A review of research. In K. B. Wright, & L. M. Webb (Eds.), Computer-mediated communication in personal relatinoships (pp. 156-180). Peter Lang Publishing.
• Kline, P. (2015). A handbook of test construction (psychology revivals): Introduction to psychometric design. Routledge. https://doi.org/10.4324/9781315695990
• Koc, S., & Liu, X. (2016). An investigation of graduate students’ help-seeking experiences, preferences and attitudes in online learning. Turkish Online Journal of Educational Technology, 15(3), 27-38.
• Krasnova, H., & Veltri, N. F. (2011). Behind the curtains of privacy calculus on social networking sites: The study of Germany and the USA. In Proceedings of the 2010 43^rd Hawaii International Conference on System Sciences (pp. 1-10). IEEE. https://doi.org/10.1109/HICSS.2010.307
• Kyriazos, T. A. (2018). Applied psychometrics: The 3-faced construct validation method, a routine for evaluating a factor structure. Psychology, 9(8), 2044-2072. https://doi.org/10.4236/psych.2018.98117
• Lohnes, S., & Kinzer, C. (2007). Questioning assumptions about students’ expectations for technology in college classrooms. Innovate: Journal of Online Education, 3(5).
• Lou, S. (2014). Cross-cultural differences between American and Chinese college students on self-disclosure on social media. https://doi.org/10.31274/etd-180810-3185
• Mercer-Mapstone, L., Dvorakova, S. L., Matthews, K. E., Abbot, S., Cheng, B., Felten, P., Knorr, K., Marquis, E., Shammas, R., & Swaim, K. (2017). A systematic literature review of students as partners in higher education. International Journal for Students as Partners, 1(1), 15-37. https://doi.org/10.15173/ijsap.v1i1.3119
• Michikyan, M. (2020). Depression symptoms and negative online disclosure among young adults in college: A mixed-methods approach. Journal of Mental Health, 29(4), 392-400. https://doi.org/10.1080/09638237.2019.1581357
• Miller, L. C., Berg, J. H., & Archer, R. L. (1983). Openers: Individuals who elicit intimate self-disclosure. Journal of Personality and Social Psychology, 44(6), 1234. https://doi.org/10.1037/0022-3514.44.6.1234
• Money, J., Nixon, S., Tracy, F., Hennessy, C., Ball, E., & Dinning, T. (2017). Undergraduate student expectations of university in the United Kingdom: What really matters to them? Cogent Education, 4, 1301855. https://doi.org/10.1080/2331186X.2017.1301855
• Morley, D. A. (2012). Enhancing networking and proactive learning skills in the first year university experience through the use of wikis. Nurse Education Today, 32(3), 261-266. https://doi.org/10.1016/j.nedt.2011.03.007
• Nguyen, M., Bin, Y. S., & Campbell, A. (2012). Comparing online and offline self-disclosure: A systematic review. Cyberpsychology, Behavior, and Social Networking, 15(2), 103-111. https://doi.org/10.1089/cyber.2011.0277
• Office for National Statistics. (2021). Coronavirus and first year higher education students, England: 4 October to 11 October 2021. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthandwellbeing/bulletins/coronavirusandfirstyearhighereducationstudentsengland/4octoberto11october2021
• Office for Students. (2022). The office for students annual review 2022. https://www.officeforstudents.org.uk/publications/annual-review-2022/
• Orcan, F. (2018). Exploratory and confirmatory factor analysis: Which one to use first? Journal of Measurement and Evaluation in Education and Psychology, 9(4), 414-421. https://doi.org/10.21031/epod.394323
• Ostendorf, S., & Brand, M. (2022). Theoretical conceptualization of online privacy-related decision making–Introducing the tripartite self-disclosure decision model. Frontiers in Psychology, 13, 996512. https://doi.org/10.3389/fpsyg.2022.996512
• Park, J. H. (2010). Differences among university students and faculties in social networking site perception and use: Implications for academic library services. The Electronic Library, 28(3), 417-431. https://doi.org/10.1108/02640471011051990
• Puustinen, M., Bernicot, J., Volckaert-Legrier, O., & Baker, M. (2015). Naturally occurring help-seeking exchanges on a homework help forum. Computers & Education, 81, 89-101. https://doi.org/10.1016/j.compedu.2014.09.010
• Roberts, P., & Dunworth, K. (2012). Staff and student perceptions of support services for international students in higher education: A case study. Journal of Higher Education Policy and Management, 34(5), 517-528. https://doi.org/10.1080/1360080X.2012.716000
• Robinson, S. B., & Leonard, K. F. (2018). Designing quality survey questions. SAGE.
• Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1-36. https://doi.org/10.18637/jss.v048.i02
• Russell, G., & Topham, P. (2012). The impact of social anxiety on student learning and well-being in higher education. Journal of Mental Health, 21(4), 375-385. https://doi.org/10.3109/09638237.2012.694505
• Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D., & Patton, G. C. (2018). The age of adolescence. The Lancet Child & Adolescent Health, 2(3), 223-228. https://doi.org/10.1016/S2352-4642(18)30022-1
• Schlosser, A. E. (2020). Self-disclosure versus self-presentation on social media. Current Opinion in Psychology, 31, 223-228. https://doi.org/10.1016/s2352-4642(18)30022-1
• Schouten, A. P., Valkenburg, P. M., & Peter, J. (2007). Precursors and underlying processes of adolescents’ online self-disclosure: Developing and testing an “Internet-attribute-perception” model. Media Psychology, 10(2), 292-315. https://doi.org/10.1080/15213260701375686
• Schreiber, J. B. (2021). Issues and recommendations for exploratory factor analysis and principal component analysis. Research in Social and Administrative Pharmacy, 17(5), 1004-1011. https://doi.org/10.1016/j.sapharm.2020.07.027
• Schunk, D. H., & Zimmerman, B. J. (Eds.). (2012). Motivation and self-regulated learning: Theory, research, and applications. Routledge. https://doi.org/10.4324/9780203831076
• Song, H., Kim, J., & Luo, W. (2016). Teacher–student relationship in online classes: A role of teacher self-disclosure. Computers in Human Behavior, 54, 436-443. https://doi.org/10.1016/j.chb.2015.07.037
• Stockdale, L. A., & Coyne, S. M. (2020). Bored and online: Reasons for using social media, problematic social networking site use, and behavioral outcomes across the transition from adolescence to emerging adulthood. Journal of Adolescence, 79, 173-183. https://doi.org/10.1016/j.adolescence.2020.01.010
• Suler, J. (2004). The online disinhibition effect. Cyberpsychology & Behavior, 7(3), 321-326. https://doi.org/10.1089/1094931041291295
• Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics. Pearson.
• Thurstone, L. L. (1947). Multiple-factor analysis: A development and expansion of “the vectors of mind”. University Chicago Press. https://doi.org/10.1126/science.107.2771.153.c
• Tidwell, L. C., & Walther, J. B. (2002). Computer-mediated communication effects on disclosure, impressions, and interpersonal evaluations: Getting to know one another a bit at a time. Human Communication Research, 28(3), 317-348. https://doi.org/10.1111/j.1468-2958.2002.tb00811.x
• Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349-357. https://doi.org/10.1093/intqhc/mzm042
• Towner, E., Grint, J., Levy, T., Blakemore, S. J., & Tomova, L. (2022). Revealing the self in a digital world: A systematic review of adolescent online and offline self-disclosure. Current Opinion in Psychology, 45, 101309. https://doi.org/10.1016/j.copsyc.2022.101309
• Vedsted, P., Sokolowski, I., & Heje, H. N. (2008). Data quality and confirmatory factor analysis of the Danish EUROPEP questionnaire on patient evaluation of general practice. Scandinavian Journal of Primary Health Care, 26(3), 174-180. https://doi.org/10.1080/02813430802294803
• Waycott, J., Bennett, S., Kennedy, G., Dalgarno, B., & Gray, K. (2010). Digital divides? Student and staff perceptions of information and communication technologies. Computers & Education, 54(4), 1202-1211. https://doi.org/10.1016/j.compedu.2009.11.006
• Weidman, A. C., Fernandez, K. C., Levinson, C. A., Augustine, A. A., Larsen, R. J., & Rodebaugh, T. L. (2012). Compensatory internet use among individuals higher in social anxiety and its implications for well-being. Personality and Individual Differences, 53(3), 191-195. https://doi.org/10.1016/j.paid.2012.03.003
• Wheeless, L. R., & Grotz, J. (1976). Conceptualization and measurement of reported self-disclosure. Human Communication Research, 2(4), 338-346. https://doi.org/10.1111/j.1468-2958.1976.tb00494.x
• Winstone, N. E., Nash, R. A., Rowntree, J., & Parker, M. (2017). ‘It’d be useful, but I wouldn’t use it’: Barriers to university students’ feedback seeking and recipience. Studies in Higher Education, 42(11), 2026-2041. https://doi.org/10.1080/03075079.2015.1130032
• Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806-838. https://doi.org/10.1177/0011000006288127
• Xu, Y., Pace, S., Kim, J., Iachini, A., King, L. B., Harrison, T., DeHart, D., Levkoff, S. E., Browne, T. A., Lewis, A. A., Kunz, G. M., Reitmeier, M., Utter, R. K., & Simone, M. (2022). Threats to online surveys: Recognizing, detecting, and preventing survey bots. Social Work Research, 46(4), 343-350. https://doi.org/10.1093/swr/svac023

APA

Hayes, B., & Murniece, L. (2024). Creation and validation of the online self-disclosure via educational platforms scale. Journal of Digital Educational Technology, 4(2), ep2416. https://doi.org/10.30935/jdet/14789

Vancouver

Hayes B, Murniece L. Creation and validation of the online self-disclosure via educational platforms scale. Journal of Digital Educational Technology. 2024;4(2):ep2416. https://doi.org/10.30935/jdet/14789

AMA

Hayes B, Murniece L. Creation and validation of the online self-disclosure via educational platforms scale. Journal of Digital Educational Technology. 2024;4(2), ep2416. https://doi.org/10.30935/jdet/14789

Chicago

Hayes, Beatrice, and Lizete Murniece. "Creation and validation of the online self-disclosure via educational platforms scale". Journal of Digital Educational Technology 2024 4 no. 2 (2024): ep2416. https://doi.org/10.30935/jdet/14789

Harvard

Hayes, B., and Murniece, L. (2024). Creation and validation of the online self-disclosure via educational platforms scale. Journal of Digital Educational Technology, 4(2), ep2416. https://doi.org/10.30935/jdet/14789

MLA

Hayes, Beatrice et al. "Creation and validation of the online self-disclosure via educational platforms scale". Journal of Digital Educational Technology, vol. 4, no. 2, 2024, ep2416. https://doi.org/10.30935/jdet/14789