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The future of systematic reviews

Authors: Gerbrich Ferdinands; Rens van de Schoot;

The future of systematic reviews

Abstract

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"]}

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Keywords

machine learning, active learning, systematic reviews, screening prioritization

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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