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  1. Why Most Published Research Findings Are False.John P. A. Ioannidis - 2005 - PLoS Med 2 (8):e124.
    Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.
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  • Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning.T. Yarkoni & J. Westfall - 2017 - Perspective on Psychological Science 12 (6):1100-1122.
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  • Representational Geometry: Integrating Cognition, Computation, and the Brain.Nikolaus Kriegeskorte & Rogier A. Kievit - 2013 - Trends in Cognitive Sciences 17 (8):401-412.
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  • What Goes on in the Resting-State? A Qualitative Glimpse Into Resting-State Experience in the Scanner.Russell T. Hurlburt, Ben Alderson-Day, Charles Fernyhough & Simone Kühn - 2015 - Frontiers in Psychology 6.
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  • At What Sample Size Do Correlations Stabilize?Felix D. Schönbrodt & Marco Perugini - unknown
    Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude of a correlation can be expected to be stable. The necessary sample size to achieve stable estimates for correlations depends on the effect size, the width of the corridor of stability, and the requested confidence that the trajectory does not leave this corridor (...)
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  • A Single Session of Exercise Increases Connectivity in Sensorimotor-Related Brain Networks: A Resting-State fMRI Study in Young Healthy Adults.Ahmad S. Rajab, David E. Crane, Laura E. Middleton, Andrew D. Robertson, Michelle Hampson & Bradley J. MacIntosh - 2014 - Frontiers in Human Neuroscience 8.
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  • P-Curve: A Key to the File-Drawer.Uri Simonsohn, Leif D. Nelson & Joseph P. Simmons - 2014 - Journal of Experimental Psychology: General 143 (2):534-547.
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  • Reliability of Cortical Activity During Natural Stimulation.Uri Hasson, Rafael Malach & David J. Heeger - 2010 - Trends in Cognitive Sciences 14 (1):40-48.
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  • Divide and Conquer: A Defense of Functional Localizers.Rebecca Saxe, Matthew Brett & Nancy Kanwisher - 2010 - In Stephen Hanson & Martin Bunzl (eds.), Foundational Issues in Human Brain Mapping. MIT Press. pp. 25--42.
    This chapter presents the advantages of the use of functional regions of interest along with its specific concerns, and provides a reference to Karl J. Friston related to the subject. Functionally defined ROI help to test hypotheses about the cognitive functions of particular regions of the brain. fROI are useful for specifying brain locations and investigating separable components of the mind. The chapter provides an overview of the common and uncommon misconceptions about fROI related to assumptions of homogeneity, factorial designs (...)
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