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The Cost of Dichotomization
Open accessAbstract
Assuming bivariate normality with correlation r, dichotomizing one variable at the mean results in the reduction in variance accounted for to .647r²; and dichotomizing both at the mean, to .405r². These losses, in turn, result in reduction in statistical power equivalent to discarding 38% and 60% of the cases under representative conditions. As dichotomization departs from the mean, the costs in variance accounted for and in power are even larger. Consequences of this practice in measurement applications are considered. These losses may not be quite so large in real data, but since methods are available for making use of all the original scaling information, there is no reason to sustain them.
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“However, grouping loses information and may reduce statistical power [ 87 ] especially when dichotomization is used [ 82 , 85 , 88 ].”
From Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007) · cites this paper as [87]
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“qualitative), effect sizes are not comparable in a multivariable logistic regression with periostin (39).”
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“Effect sizes are reported using partial eta-squared ( p(2)) classified by Cohen (1988) as small (.”
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“and reduces statistical power to detect effects [65].”
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Wang, P., Loignon, A. C., Shrestha, S., Banks, G. C., & Oswald, F. L. (2024) · Journal of Business and Psychology · doi:10.1007/s10869-024-09997-w · Cited by 12
“…removing demographic information directly results in the inability to study these variables; binning the data as a solution to keeping individual demographics anonymous would limit the variability of the data (Cohen, 1983) and limit the appropriate analyses and inferences that can be made as well.”
Schwarz, J., Lizarazu, M., Lallier, M., & Klimovich‐Gray, A. (2023) · Cortex · doi:10.1016/j.cortex.2023.10.003 · Cited by 16
“The MEG data were analysed with a trial-level regression approach because regression-based analyses are more suited for continuous variables such as phonological neighbourhood and word frequency than factorial designs (Cohen, 1983; Hauk et al., 2006).”
Drosdowsky, A., Lamb, K. E., Karahalios, A., Bergin, R. J., Milley, K. M., Boyd, L., IJzerman, M. J., & Emery, J. D. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02377-w · Cited by 21
“For example, there were a number of articles that dichotomised the interval, limiting their ability to observe any non-linear effects, and substantially decreasing the statistical power of the analyses [165, 166].”
BackgroundUnpacking The Nexus Between Broiler Contract Farming and Its Impact in Ghana
Bannor, R. K., & Gyekye, Y. (2022) · European Journal of Development Research · doi:10.1057/s41287-021-00489-8 · Cited by 14
“Such convertion of continuous measurements to categorial variables will amount to what Cohen and Cohen (1983) describe as dichotomisation.”
BackgroundTajdini, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.06.025 · Cited by 18
The number of response categories in ordered response models
Iannario, M., Monti, A. C., & Scalera, P. (2021) · The International Journal of Biostatistics · doi:10.1515/ijb-2021-0013 · Cited by 14
Scharmer, A. K., & Snyder, M. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101643 · Cited by 14
Transportation, the pathogen vector to rule them all: Evidence from the recent coronavirus pandemic
Stavroulakis, P. J., Tzora, V. A., Riza, E., & Papadimitriou, S. (2021) · Journal of Transport and Health · doi:10.1016/j.jth.2021.101087 · Cited by 14
“Based on the body of research, one could select the average (Balmford et al., 2019; Becker et al., 1998; Cohen, 1983; Creel and Loomis, 1997; Dougados et al., 2012) and/or the median (Kim, 2018,; Teshima et al.”
MacCutcheon, D., Pausch, F., Füllgrabe, C., Eccles, R., van der Linde, J., Panebianco, C., Fels, J., & Ljung, R. (2019) · Journal of Speech, Language and Hearing Research · doi:10.1044/2019_jslhr-s-19-0012 · Cited by 14
“This could be a limitation as dichotomizations generally lead to reductions in statistical power, which could potentially increase the risk of Type II errors (Cohen, 1983) and, in extreme cases, spurious patterns of significance (Maxwell & Delaney, 1993).”
BackgroundDang, B.-L., Zhang, W.-H., Chen, S.-L., Feng, T., & Zhao, Y.-P. (2019) · The journal of business & industrial marketing · doi:10.1108/jbim-10-2018-0306 · Cited by 14
Meaningful change definitions: sample size planning for experimental intervention research
Gruijters, S. L. K., & Peters, G.-J. (2020) · Psychology and Health · doi:10.1080/08870446.2020.1841762 · Cited by 24
“Rather, researchers interested in experimentally testing interventions often rely on continuous (scaled) outcome measures – and there are, of course, good statistical arguments to do so (Cohen, 1983; DeCoster et al., 2009; MacCallum et al., 2002).”
BackgroundGlashouwer, K. A., Masselman, I., & de Jong, P. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103435 · Cited by 14
False positives associated with responder/non-responder analyses based on motor evoked potentials.
van de Ruit, M., & Grey, M. (2019) · Brain Stimulation · doi:10.1016/j.brs.2018.11.015 · Cited by 14
“However, methodologists have argued for 171 more than two decades that the dichotomisation of c ontinuous variables is not valid for hypothesis 172 testing [1, 9-14, 16-18].”
BackgroundLandau, E. R., Trinder, J. C., Simmons, J. G., Raniti, M. B., Blake, M. J., Waloszek, J. M., Blake, L. M., Schwartz, O., Murray, G., Allen, N. B., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.08.035 · Cited by 17
“While dichotomization of data retains ordinal information, this technique can reduce statistical power by the same amount as deliberately discarding roughly a third of the data (Cohen, 1983; MacCallum et al., 2002).”
MethodLong-Term Trajectories of Posttraumatic Stress Disorder: Categorical versus Continuous Assessment
Solomon, Z., Bachem, R., Levin, Y., Crompton, L., & Ginzburg, K. (2018) · Psychiatry · doi:10.1080/00332747.2018.1485369 · Cited by 14
Physical activity correlates in people with anxiety: Data from 46 low- and middle-income countries.
Vancampfort, D., Stubbs, B., & Koyanagi, A. (2017) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2017.04.007 · Cited by 14
“Consistent with data from the general population (42, 43), we found that older age and the presence of physical health problems such as pain and mobility difficulties were associated with less physical activity.”
BackgroundEffects of contrastive accents in memory for L2 discourse
Lee, E.-K., & Fraundorf, S. H. (2016) · Bilingualism: Language and Cognition · doi:10.1017/s1366728916000638 · Cited by 14
“We treated proficiency as a continuous variable (i.e., using the exact cloze test scores) because this analysis incorporates the full range of variation in proficiency and is more powerful (Cohen, 1983).”
MethodInfluential
Metadata
- Authors
- Cohen, J.
- Affiliations
- New York University (US)
- Corresponding author
- Cohen, Jacob
- Venue
- Applied Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 1983-06
- Volume
- 7
- Issue
- 3
- Pages
- 249-253
- ISSN
- 0146-6216 (ISSN-L)
- 1552-3497
- OpenAlex
- W1987838173
- Cited by
- 1,564
- References
- 0
- Citations by year
- 2026: 67 · 2025: 59 · 2024: 59 · 2023: 50 · 2022: 63 · 2021: 66 · 2020: 74 · 2019: 68 · 2018: 91 · 2017: 78 · 2016: 66 · 2015: 79 · 2014: 86 · 2013: 53 · 2012: 60
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- green
- purl.umn.edu
- Locations
- Applied Psychological Measurement (publishedVersion)
- University of Minnesota Digital Conservancy (University of Minnesota) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- dichotomization, variable reduction, bivariate normal distribution, correlation, variance accounted for, statistical power, measurement loss, scale reduction
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