Advanced analytic and statistical methods in health psychology (Editorial)
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Marques, Marta M
Johnson, Blair T
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Abstract
A pressing issue facing health psychology research, and science in general, is ensuring precision and confidence in findings of empirical studies. With concerns surrounding the replicability of findings in psychology more broadly (namely, the ‘replication crisis’; Maxwell, Lau, & Howard, 2015; Pashler & Wagenmakers, 2012), questions and criticisms have been raised over the way researchers conduct and analyse studies. In response, researchers need to make substantial changes to the way studies are conducted to ensure research integrity (Asendorpf et al., 2013; Cumming, 2014; Munafò et al., 2017) and that findings stand up to replication (Earp & Trafimow, 2015). Researchers must use the best methods and data analytic practices feasible to conduct tests of research questions that stand up to scientific scrutiny and the rigours of replication. Applying contemporary statistical methods to analyse data is paramount to ensure rigour and confidence in the findings of research in health psychology (Cumming, 2014). Researchers therefore have a responsibility and an obligation to draw on advances and progress in statistical methods when analysing data and drawing inferences, and need to avail themselves of the emerging advanced statistical tools to avoid selection and other inappropriate data analytic practices.
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Health Psychology Review
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11
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3
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Psychology
Social Sciences
Psychology, Clinical
Psychology
BAYESIAN STATISTICS
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Hamilton, K; Marques, MM; Johnson, BT, Advanced analytic and statistical methods in health psychology (Editorial), Health Psychology Review, 2017, 11 (3), pp. 217-221