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      Exploring the extent to which shared mechanisms contribute to motion-position illusions

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          Abstract

          Motion-position illusions (MPIs) are visual motion illusions in which motion signals bias the perceived position of an object. Due to phenomenological similarities between these illusions, previous research has assumed that some are caused by common mechanisms. However, this assumption has yet to be directly tested. This study investigates this assumption by exploiting between-participant variations in illusion magnitude. During two sessions, 106 participants viewed the flash-lag effect, luminance flash-lag effect, Fröhlich effect, flash-drag effect, flash-grab effect, motion-induced position shift, twinkle-goes effect, and the flash-jump effect. For each effect, the magnitude of the illusion was reliable within participants, strongly correlating between sessions. When the pairwise correlations of averaged illusions magnitudes were explored, two clusters of statistically significant positively correlated illusions were identified. The first cluster comprised the flash-grab effect, motion-induced position shift, and twinkle-goes effect. The second cluster comprised the Fröhlich and flash-drag effect. The fact that within each of these two clusters, individual differences in illusion magnitude were correlated suggests that these clusters may reflect shared underlying mechanisms. An exploratory factor analysis provided additional evidence that these correlated clusters shared an underlying factor, with each cluster loading onto their own factor. Overall, our results reveal that, contrary to the prevailing perspective in the literature, while some motion-position illusions share processes, most of these illusions are unlikely to reflect any shared processes, instead implicating unique mechanisms.

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          Statistical Power Analysis for the Behavioral Sciences

          <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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            PsychoPy2: Experiments in behavior made easy

            PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and timing of stimuli. It now provides a choice of interface; users can write scripts in Python if they choose, while those who prefer to construct experiments graphically can use the new Builder interface. Here we describe the features that have been added over the last 10 years of its development. The most notable addition has been that Builder interface, allowing users to create studies with minimal or no programming, while also allowing the insertion of Python code for maximal flexibility. We also present some of the other new features, including further stimulus options, asynchronous time-stamped hardware polling, and better support for open science and reproducibility. Tens of thousands of users now launch PsychoPy every month, and more than 90 people have contributed to the code. We discuss the current state of the project, as well as plans for the future.
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              The Application of Electronic Computers to Factor Analysis

                Author and article information

                Journal
                J Vis
                J Vis
                JOVI
                Journal of Vision
                The Association for Research in Vision and Ophthalmology
                1534-7362
                13 September 2023
                September 2023
                : 23
                : 10
                : 8
                Affiliations
                [1 ]Melbourne School of Psychological Sciences, the University of Melbourne, Melbourne, Australia
                [2 ]Melbourne School of Psychological Sciences, the University of Melbourne, Melbourne, Australia
                [3 ]School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
                [4 ]School of Psychology, the University of Sydney, Sydney, Australia
                [5 ]Melbourne School of Psychological Sciences, the University of Melbourne, Melbourne, Australia
                [6 ]School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
                Author notes
                Article
                JOV-08810-2023
                10.1167/jov.23.10.8
                10503592
                37703000
                1ef78732-d655-4e60-9820-d2df42e2c3fc
                Copyright 2023 The Authors

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 07 August 2023
                : 09 June 2023
                Page count
                Pages: 24
                Categories
                Article
                Article

                individual differences,flash-lag effect,fröhlich effect,flash-drag effect,flash-grab effect,motion-induced position shift,twinkle-goes effect,flash-jump effect,shared mechanisms

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