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This poster was presented on October 9 2020 at the annual meeting of the Society for Multivariate Experimental Psychology (SMEP). An paper accompanying this poster was published in Multivariate Behavioural Research: Gerbrich Ferdinands (2020) AI-Assisted Systematic Reviewing: Selecting Studies to Compare Bayesian Versus Frequentist SEM for Small Sample Sizes, Multivariate Behavioral Research, DOI: 10.1080/00273171.2020.1853501 The raw TeX code of the poster can be found in poster-tex-code.zip. Scripts for producing the results in this study can be found on the Open Science Framework: Ferdinands, G. (2021, January 7). Supplementary material for publication in Multivariate Behavioural Research (Ferdinands, 2020). Retrieved from osf.io/re3cd
{"references": ["Sanne C. Smid, Daniel McNeish, Milica Mio\u010devi\u0107 & Rens van de Schoot (2020) Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review, Structural Equation Modeling: A Multidisciplinary Journal, 27:1, 131-161, DOI: 10.1080/10705511.2019.1577140", "van de Schoot, R., Bruin, J.D., Schram, R., Zahedi, P., Boer, J.D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S. Tummers, L., & Oberski, D. (2020). Open Source Software for Efficient and Transparent Reviews. ArXiv, abs/2006.12166"]}
machine learning, active learning, systematic reviews, screening prioritization
machine learning, active learning, systematic reviews, screening prioritization
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