The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Differences Between Traditional and Distance Education Academic Performances: A Meta-Analytic Approach
Open accessAbstract
This meta-analysis research estimated and compared the differences between the academic performance of students enrolled in distance education courses relative to those enrolled in traditional settings, as demonstrated by their final course grades/ scores within the 1990-2002 period. Eighty-six experimental and quasi-experimental studies met the established inclusion criteria for the meta-analysis (including data from over 15,000 participating students), and provided effect sizes, clearly demonstrating that: (1) in two thirds of the cases, students taking courses by distance education outperformed their student counterparts enrolled in traditionally instructed courses; (2) the overall effect size d+ was calculated as 0.37 standard deviation units (0.33 < 95% confidence interval < 0.40); and (3) this effect size of 0.37 indicates the mean percentile standing of the DE group is at the 65th percentile of the traditional group (mean defined as the 50th percentile).
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Cites
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Funnel plots for detecting bias in meta-analysis
Sterne, J. A. C., & Egger, M. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00377-8 · Cited by 3,779
A Fail-Safe N for Effect Size in Meta-Analysis
Orwin, R. G. (1983) · Journal of Educational Statistics · doi:10.2307/1164923 · Cited by 2,064 · cited 1×
“In this study the NFS numbers were calculated based on Orwin’s (1983) formula, providing large numbers for our research questions sample sizes.”
MethodBernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P. A., Fiset, M., & Huang, B. (2004) · Review of Educational Research · doi:10.3102/00346543074003379 · Cited by 1,761
Direction and impact of language bias in meta-analyses of controlled trials: empirical study
Jüni, P., Holenstein, F., Sterne, J., Bartlett, C., & Egger, M. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.115 · Cited by 892
Cited by
Bernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P. A., Fiset, M., & Huang, B. (2004) · Review of Educational Research · doi:10.3102/00346543074003379 · Cited by 1,761
A Meta-Analysis of Three Types of Interaction Treatments in Distance Education
Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009) · Review of Educational Research · doi:10.3102/0034654309333844 · Cited by 1,171
Barriers and solutions to online learning in medical education – an integrative review
O’Doherty, D., Dromey, M., Lougheed, J., Hannigan, A., Last, J., & McGrath, D. (2018) · BMC Medical Education · doi:10.1186/s12909-018-1240-0 · Cited by 1,032
Bernard, R. M., Borokhovski, E., Schmid, R. F., Tamim, R. M., & Abrami, P. C. (2014) · Journal of Computing in Higher Education · doi:10.1007/s12528-013-9077-3 · Cited by 870
Iglesias-Pradas, S., Hernández-García, Á., Chaparro-Peláez, J., & Prieto, J. L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106713 · Cited by 693
Metadata
- Authors
- Shachar, M., & Neumann, Y.
- Venue
- The International Review of Research in Open and Distributed Learning
- Publisher
- Athabasca University Press
- Published
- 2003-10-01
- Volume
- 4
- Issue
- 2
- ISSN
- 1492-3831 (ISSN-L)
- OpenAlex
- W1554621693
- Cited by
- 294
- References
- 6
- FWCI
- 40.60
- Type
- journal article
- Language
- en
- Open access
- diamond
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
