The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Evaluating the Quality of Evidence from Correlational Research for Evidence-Based Practice
Open accessAbstract
Only true experiments offer definitive evidence for causal inferences, but not all educational interventions are readily amenable to experiments. Correlational evidence can at least tentatively inform evidence-based practice when sophisticated causal modeling or exclusion methods are employed. Correlational evidence is most informative when exemplary practices are followed as regards (a) measurement, (b) quantifying effects, (c) avoiding common analysis errors, and (d) using confidence intervals to portray the range of possible effects and the precisions of the effect estimates.
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Citations
Cites
The proof and measurement of association between two things
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412159 · Cited by 8,039
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Defining empirically supported therapies.
Chambless, D. L., & Hollon, S. D. (1998) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.66.1.7 · Cited by 3,067 · cited 2×
“Recent movements to emphasize evidence-based practice in medicine (see Sackett, Straus, Richardson, Rosenberg, & Haynes, 2000), psychology (see Chambless, 1998 ), and education (Mosteller & Boruch, 2002; Shavelson & Towne, 2002) also reflect the”
BackgroundStatistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791
Simultaneous Factor Analysis in Several Populations
Jöreskog, K. G. (1971) · Psychometrika · doi:10.1007/bf02291366 · Cited by 2,051
Practical significance: a concept whose time has come
Kirk, R. E. (1996) · Educational and Psychological Measurement · doi:10.1177/0013164496056005002 · Cited by 1,778 · cited 6×
“There are literally dozens of effect size statistics (see Kirk, 1996).”
BackgroundInfluentialJacobson, N. S., Roberts, L. J., Berns, S. B., & McGlinchey, J. B. (1999) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.67.3.300 · Cited by 853
Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial
Thompson, B. (1995) · Educational and Psychological Measurement · doi:10.1177/0013164495055004001 · Cited by 434
Self-citationThompson, B. (2002) · Journal of Counseling & Development · doi:10.1002/j.1556-6678.2002.tb00167.x · Cited by 398
Self-citation
Cited by
Test, D. W., Mazzotti, V. L., Mustian, A. L., Fowler, C. H., Kortering, L., & Kohler, P. (2009) · Career Development for Exceptional Individuals · doi:10.1177/0885728809346960 · Cited by 884
Educational psychology and the effectiveness of inclusive education/mainstreaming
Lindsay, G. (2007) · British Journal of Educational Psychology · doi:10.1348/000709906x156881 · Cited by 725
Predictors of Post-School Success: A Systematic Review of NLTS2 Secondary Analyses
Mazzotti, V. L., Rowe, D. A., Sinclair, J., Poppen, M., Woods, W. E., & Shearer, M. L. (2016) · Career Development and Transition for Exceptional Individuals · doi:10.1177/2165143415588047 · Cited by 276
Substantiated best practices in transition: Fifteen plus years later
Landmark, L. J., Ju, S., & Zhang, D. (2010) · Career Development for Exceptional Individuals · doi:10.1177/0885728810376410 · Cited by 262
School Belonging: The Importance of Student and Teacher Relationships
Allen, K.-A., Slaten, C. D., Arslan, G., Roffey, S., Craig, H., & Vella-Brodrick, D. A. (2021) · The Palgrave Handbook of Positive Education · doi:10.1007/978-3-030-64537-3_21 · Cited by 184
Metadata
- Authors
- Thompson, B., Diamond, K. E., McWilliam, R., Snyder, P., & Snyder, S. W.
- Venue
- Exceptional Children
- Publisher
- SAGE Publications
- Published
- 2005-01
- Volume
- 71
- Issue
- 2
- Pages
- 181-194
- ISSN
- 0014-4029 (ISSN-L)
- 2163-5560
- OpenAlex
- W2138981714
- Cited by
- 273
- References
- 9
- FWCI
- 55.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.