Analysis of Covariance (ANCOVA) vs. Moderated Regression (MODREG): Why the Interaction Matters

Health Professions Education - Tập 4 - Trang 225-232 - 2018
Jimmie Leppink1
1School of Health Professions Education, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands

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Huitema, 2011 Van Breukelen, 2006, ANCOVA versus change from baseline: more power in randomized studies, more bias in nonrandomized studies, J Clin Epidemol, 59, 920, 10.1016/j.jclinepi.2006.02.007 Van Breukelen, 2007, Use of covariates in randomized controlled trials, J Int Neuropsychol Soc, 13, 903, 10.1017/S1355617707071147 Gruijters, 2016, Baseline comparisons and covariate fishing: bad statistical habits we should have broken yesterday, Eur Health Psychol, 18, 205 Tabachnick, 1989 Leppink, 2015, Data analysis in medical education research: a multilevel perspective, Perspect Med Educ, 4, 14, 10.1007/s40037-015-0160-5 Leppink, 2017, When negative turns positive and vice versa: the case of repeated measurements, Health Prof Educ, 10.1016/j.hpe.2017.03.004 Atiqullah, 1964, The robustness of the covariance analysis of a one-way classification, Biometrika, 51, 365, 10.1093/biomet/51.3-4.365 Shields JL. An empirical investigation of the effects of heteroscedasticity and heterogeneity of variance on the analysis of covariance and the Johnson-Neyman technique. Technical paper No. 292, U.S. Army Research Institute for the Behavioral and Social Sciences, Alexandria, Virginia; 1978. Scheffé, 1959 Lindstromberg, 2016, Inferential statistics in language teaching research: a review and ways forward, Lang Teach Res, 20, 741, 10.1177/1362168816649979 Keselman, 1998, Statistical practices of educational researchers: an analysis of their ANOVA, MANOVA, and ANCOVA analyses, Rev Educ Res, 68, 350, 10.3102/00346543068003350 Kane JS. Beyond ANCOVA: a new method for excluding the influence of covariates in comparing group means. Retrieved from: 〈https://www.prostatservices.com/articles/beyond-ancova-a-new-method-for-excluding-the-influence-of-covariates-in-comparing-group-means〉 Accessed 16.04.18; 2013. Keppel, 1991 Maxwell, 1985, ANOVA of residuals and ANCOVA: correcting an illusion by using model comparisons and graphs, J Educ Stat, 10, 197, 10.3102/10769986010003197 Winer, 1991 Darrow, 1982, A comparison of moderated regression techniques considering strength of effect, J Manag, 8, 35 Champoux, 1987, Form, effect size and power in moderated regression analysis, J Occup Org Psychol, 60, 243, 10.1111/j.2044-8325.1987.tb00257.x Hayes, 2018, Partial, conditional, and moderated moderated mediation: quantification, inference, and interpretation, Comm Monogr, 85, 4, 10.1080/03637751.2017.1352100 Hayes AF. The PROCESS macro for SPSS and SAS; 2017. Retrieved from: 〈http://www.processmacro.org/index.html〉. Accessed 16 April 2018. Jamovi project. Jamovi (version 0.8.6.0); 2018. Retrieved from 〈https://www.jamovi.org〉. Accessed 16 April 2018. Crutzen, 2017, Scale quality: alpha is an inadequate estimate and factor-analytic evidence is needed first of all, Health Psychol Rev, 11, 242, 10.1080/17437199.2015.1124240 Dunn, 2014, From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation, Br J Psychol, 105, 399, 10.1111/bjop.12046 Leppink, 2018, A pragmatic approach to statistical testing and estimation (PASTE), Health Prof Educ, 10.1016/j.hpe.2017.12.009 Akaike H Information theory and an extension of the maximum likelihood principle. In Petrov BN, Csaki F (Eds.), In: Proceedings of the Second International Symposium on Information Theory pp. 267–281. Budapest: Academiai Kiado. Schwarz, 1978, Estimating the dimensions of a model, Ann Stat, 6, 461, 10.1214/aos/1176344136 Kass, 1995, Bayes factors, J Am Stat Assoc, 90, 773, 10.1080/01621459.1995.10476572 Enders, 2008, The impact of misspecifying class-specific residual variance in growth mixture models, Struct Eq Mod: Multidisc J, 15, 75, 10.1080/10705510701758281 Tofighi, 2007, Identifying the correct number of classes in mixture models, 317 Muthén LK, Muthén B. Mplus user’s guide. Version 8; 2017. Retrieved from: 〈https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf〉 Accessed 16 April 2018. Wagenmakers, 2017, Bayesian inference for psychology. Part I: theoretical advantages and practical ramifications, Psychon Bull Rev Love J, Selker R, Marsman M . et al. JASP (version 0.8.6.0); 2018. Retrieved from 〈https://jasp-stats.org/〉 Accessed 16 April 2018. Lipsey, 2001, Applied social research methods series, Vol. 49