The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Cultural and psychological variables predicting academic dishonesty: a cross-sectional study in nine countries
Abstract
Academic dishonesty has serious consequences for human lives, social values, and economy. The main aim of the study was to explore a model of relations between personal and cultural variables and academic dishonesty. The participants in the study were N = 2,586 individuals from nine countries (Pakistan, Israel, Italy, India, the USA, Peru, Romania, Ghana, and Poland). The authors administered the Academic Dishonesty Scale to measure academic dishonesty, the Kessler Psychological Distress Scale to measure distress, the Almost Perfect Scale – Revised to measure perfectionism, the Brief Self-Control Scale to measure self-control, and the Singelis Scale to measure independent self-construal. The results showed that the theoretical model was well fitted to the dataset in six countries: Pakistan, the United States, Romania, Ghana, Israel, and Poland. However, it was not well fitted in Italy, India, and Peru. Our results also showed that perfectionism significantly predicted academic dishonesty, but not in all countries. Self-control significantly predicted cheating, falsification, and plagiarism in the USA. Moreover, we found that distress was related to cheating o0nly in Ghana. Finally, independent self-construal predicted academic dishonesty. Our findings provide a cross-cultural contribution to the debate on academic dishonesty by highlighting its significant predictors and may inform interventions aimed at eliminating it. Our results can be used in preventing and curbing academ…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Other psychosocial factors, such as goal orientation, psychological distress or psychological resilience may also be linked to academic dishonesty (Bennett, 2005;Błachnio et al., 2022;Moss et al., 2018).”
From The rapid rise of generative AI and its implications for academic integrity: Students’ perceptions and use of chatbots for assistance with assessments (2024) · cites this paper as Błachnio et al., 2022
Citations
Cites
Hewitt, P. L., & Flett, G. L. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.60.3.456 · Cited by 3,378 · cited 1×
“Because it has many aspects, such as self-oriented perfectionism, other-oriented perfectionism, and socially prescribed perfectionism (Hewitt & Flett, 1991), concerns over mistakes, personal standards, parental expectations, and parental criticism, or doubts about actions and organization (Frost et…”
Psychological distress in university students: A comparison with general population data
Stallman, H. M. (2010) · Australian Psychologist · doi:10.1080/00050067.2010.482109 · Cited by 1,372
The Revised Almost Perfect Scale
Slaney, R. B., Rice, K. G., Mobley, M., Trippi, J., & Ashby, J. S. (2001) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.2002.12069030 · Cited by 1,087
Nonis, S., & Swift, C. O. (2001) · Journal of Education for Business · doi:10.1080/08832320109599052 · Cited by 564
Yoon, J., & Lau, A. S. (2008) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/1099-9809.14.2.92 · Cited by 131
State-of-the-art in detecting academic plagiarism
Meuschke, N., & Gipp, B. (2013) · International Journal for Educational Integrity · doi:10.21913/ijei.v9i1.847 · Cited by 112
Flagged first, then by citations
Research works printed but not linked: 67
- 10.1371/journal.pone.0194963 · DOI
- 10.1007/s10805-011-9144-1 · DOI
- 10.1016/B978-012372541-7/50013-9 · DOI
- 10.1111/opo.12131 · DOI · Paper page
- 10.1037/h0025853 · DOI
- 10.1207/s15327019eb1503_1 · DOI
- 10.1016/j.accfor.2013.08.002 · DOI
- Bazoukis G., 2011, Archives of Hellenic Medicine, 28, 390
- 10.1111/sjop.12534 · DOI
- 10.5923/j.ijap.20110101.02 · DOI
- 10.3200/JRLP.138.2.101-114 · DOI
- 10.1037/a0035836 · DOI
- Byrne B. M., 2010, Structural equation modeling with AMOS: Basic concepts, applications, and programming
- 10.1080/10508422.2015.1112745 · DOI
- 10.1177/0963721414553265 · DOI
- 10.1016/j.sbspro.2015.03.017 · DOI
- 10.1186/1472-6920-14-89 · DOI
- 10.1146/annurev-psych-113011-143750 · DOI · Paper page
- 10.1016/j.cpr.2011.09.007 · DOI
- 10.4065/80.12.1613 · DOI
- Epstein E. G., 2010, OJIN: The Online Journal of Issues in Nursing, 15, 1, 10.3912/OJIN.Vol15No03Man01 · DOI
- Fernández I., 2005, Revue Internationale de Psychologie Sociale, 18, 35
- 10.1007/s10551-015-2823-x · DOI
- 10.1007/BF01172967 · DOI · Paper page
- Ganske K. M., 2010, OJIN: The Online Journal of Issues in Nursing, 15, 6, 10.3912/OJIN.Vol15No03Man06 · DOI
- Gottfredson M. G., 1990, A general theory of crime, 10.1515/9781503621794 · DOI · Paper page
- 10.1111/j.1466-769X.2004.00160.x · DOI
- Haslam D., 2019, Clinical Child and Family Psychology Review, 1, 1
- Hendy, N.T., Montargot, N. & Papadimitriou, A. Cultural Differences in Academic Dishonesty: A Social Learning Perspective. J Acad Ethics 19, 49–70 (2021). https://doi.org/10.1007/s10805-021-09391-8 · DOI
- 10.1177/0963721412453587 · DOI
- Hofstede G., 2005, Cultures and organizations: Software of the mind
- 10.1080/10705519909540118 · DOI · Paper page
- 10.5688/ajpe808133 · DOI
- 10.1097/01.NND.0000433151.26007.f9 · DOI
- 10.47678/cjhe.v41i3.2488 · DOI
- 10.1001/archpsyc.62.6.593 · DOI · Paper page
- Khani S., 2013, European Journal of Experimental Biology, 3, 608
- Kline R. B., 2011, Principles and practice of structural equation modeling
- 10.24839/2164-8204.JN17.2.59 · DOI
- Kura K. M., 2018, International Journal of Education and Training, 4, 1, 10.11648/j.ijvetr.20180401.11 · DOI
- 10.1093/elt/cci043 · DOI
- 10.1027/1614-2241.2.2.57 · DOI
- 10.14434/josotl.v18i1.22350 · DOI
- 10.1080/00049530412331283426 · DOI
- 10.1016/j.obhdp.2013.03.005 · DOI
- 10.1007/s10940-006-9011-1 · DOI
- 10.1016/j.cedpsych.2005.03.001 · DOI
- 10.1016/j.cedpsych.2005.03.001 · DOI
- Newton P. M., 2018, Frontiers in Education, 3, 20
- 10.1177/0969733009106649 · DOI
- 10.1016/j.compedu.2018.05.012 · DOI
- 10.1177/0273475303262354 · DOI
- 10.1080/00223891.2013.838172 · DOI
- Saana S. B., 2016, BMC Medical Education, 9, 234
- 10.5539/ijps.v9n4p65 · DOI
- 10.21913/IJEI.v9i2.892 · DOI
- 10.1177/0146167294205014 · DOI · Paper page
- 10.1177/1073191105284878 · DOI
- 10.1037/a0019477 · DOI
- 10.1016/j.sbspro.2013.04.383 · DOI
- 10.1177/0022022107302365 · DOI
- 10.1080/01621459.1979.10482541 · DOI
- 10.1111/j.0022-3506.2004.00263.x · DOI · Paper page
- 10.21236/AD0047524 · DOI
- 10.1007/s10734-017-0112-6 · DOI
- 10.1080/10508422.2011.653291 · DOI
- 10.1007/s10805-013-9198-3 · DOI
Cited by
Sorted by citations
Gruenhagen, J. H., Sinclair, P. M., Carroll, J.-A., Baker, P. R. A., Wilson, A., & Demant, D. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100273 · Cited by 339
Sbaffi, L., & Zhao, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1009305 · Cited by 31
Metadata
- Authors
- Błachnio, A., Cudo, A., Kot, P., Torój, M., Oppong Asante, K., Enea, V., Ben-Ezra, M., Caci, B., Dominguez-Lara, S. A., Kugbey, N., Malik, S., Servidio, R., Tipandjan, A., & Wright, M. F.
- Affiliations
- John Paul II Catholic University of Lublin
- Department of Psychology, University of Ghana
- Department of Psychology, Alexandru Ioan Cuza University of Iasi
- School of Social Work, Ariel University
- University of Palermo
- Universi dad Privada San Juan Bautista, Lima, Perú
- School of Public Health, University of Health and Allied Sciences
- University of Sargodha
- University of Calabria
- International Centre for Psychological Counseling and Social Research
- Pennsylvania State University
- ORCID
- Venue
- Ethics & Behavior
- Publisher
- Informa UK Limited
- Published
- 2021-05-14
- Volume
- 32
- Issue
- 1
- Pages
- 44-89
- ISSN
- 1050-8422
- 1532-7019
- Cited by
- 27
- References
- 6
- Language
- en
- Funders
- the National Science Centre, Poland (UMO-2017/25/B/HS6/01517)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review