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<h2><strong>README</strong></h2> <p>Welcome to our OSF project aimed at promoting our continuous multilevel Bayesian meta-analysis of the effect of physical action constraints on visual perception of distance. This repository contains the pre-print of our manuscript, which is already submitted to a peer-reviewed journal, as well as the Supplementary Materials, the full R code used to conduct our analyses, a .xls file listing the result of our literature search and the inclusion/exclusion criteria, and, of course, the original data. The manuscript is also available as a pre-print at <a href="https://psyarxiv.com/2zutq/" rel="nofollow">https://psyarxiv.com/2zutq/</a>. An online version of the Supplementary Materials is available at <a href="https://www.barelysignificant.com/meta/meta_sponge_bob" rel="nofollow">https://www.barelysignificant.com/meta/meta_sponge_bob</a>.</p> <p>We encourage contributing to our continuous meta-analysis by sending us your data so that we can update it. You can upload your data at <a href="http://bit.ly/actionconstraintdatasharing" rel="nofollow">http://bit.ly/actionconstraintdatasharing</a> (please read the below FAQ before sending your data). </p> <p>Thank you very much in advance for your contribution.</p> <p>Lisa Molto, Ladislas Nalborczyk, Richard Palluel-Germain, and Nicolas Morgado</p> <h2><strong>FAQ</strong></h2> <p><strong>1- What are the inclusion and exclusion criteria?</strong></p> <p>We will only include published or unpublished empirical studies, excluding literature reviews, replies/commentaries, fulfilling these conditions: - The independent variable is a manipulation of a physical action constraint. In the current version of the meta-analysis, we have three constraint categories including tool-use (e.g., using a stick to reach out-of-reach targets or not), effort (e.g., performing a movement under various levels of force), and weight manipulations (e.g., wearing a heavy backpack). - The dependent variable is a direct measure of visually perceived egocentric distances. - The dependent variable is measures of another spatial property (e.g., size estimation), provided that there is evidence from the literature or, better, from your own study that this measure can legitimately be used as an indirect measure of visually perceived egocentric distances. These inclusion criteria exclude studies in which: - The independent variable is a manipulation of an action constraint that is not physical per se, like affective or social action constraints (e.g., falling fear, social support). - It is not clear whether the manipulation affected physical action constraints (e.g., optic flow manipulation) or when the manipulation has an inherent confound (e.g., varying hill slope as effort manipulation). - Participants observed someone else performing an action under various action constraints (e.g., observed tool-use). [Footnote 1] - Natural variations of action constraints are used as independent variable (e.g., chronic page, ageing, obesity). [Footnote 2] - The dependent variable was a measure of visually perceived allocentric distances. [Footnote 3] - The dependent variable was a measure of a spatial property but was not purposely used as an indirect measure of the visually perceived egocentric distance or there is no evidence that it can legitimately be used for that. • The dependent variable was a measure of space perception like affordance measures (e.g., reachability judgements, motor potentiation effects) or peripersonal space measures (e.g., line bisection, visuo-tactile extinction).</p> <hr> <p>Footnote 1. This does not mean that we will never include studies with such independent variables in our meta-analysis. So, if you have data about the effect of observed physical action constraints on the visual perception of egocentric distances, please let us know.</p> <p>Footnote 2. This does not mean that we will never include studies with such independent variables in our meta-analysis. So, if you have data about the relationship between natural variations of physical action constraints and the visual perception of egocentric distances, please let us know.</p> <p>Footnote 3. This does not mean that we will never include studies with such dependent variables in our meta-analysis. So, if you have data about the effect of physical action constraints on the visually perceived allocentric distances.</p> <hr> <p><strong>2- What should I send to you?</strong></p> <p>We will need two files: a data file and a context file. If the content of the data file seems pretty obvious (but see Points 3 & 4), the context file should allow us to understand your study. This context file can be a published article or a manuscript from which your data come from. If you have not written one yet, you should provide a clear description of your study including enough information to understand the critical aspects of your work (a pre-registration report would probably be good). Ideally, the files should be named as follows:</p> <ul> <li>“author names””year””data”.extension (e.g., molto2019data.xls)</li> <li>“author names””year””context”.extension (e.g., molto2019context.xls)</li> </ul> <p>If there are more than one authors you can separate their names with a “_” (e.g., molto_nalborczyk 2019data.xls). Of course, if you do not want, or forget, to follow this standard file naming, you can still send your files.</p> <p><strong>3- What data should I send?</strong></p> <p>We need at least sufficient statistics to compute the appropriate effect size index. Thus, we accept summary statistics like means, standard deviations, sample sizes, correlation among repeated measures, and so on. However, we prefer raw data from which we will be able to extract all the stuffs we could need.</p> <p><strong>4- Is there a standard file format?</strong></p> <p>No, there is not. To make sending your data not too burdensome, you can send your own data file as it is if it is clear enough to allow us to understand it. If you think adding some comments in the file might help us, please feel free to do it. </p> <p><strong>5- How can I send my data?</strong></p> <p>You just have to use our Dropbox file request at <a href="http://bit.ly/actionconstraintdatasharing" rel="nofollow">http://bit.ly/actionconstraintdatasharing</a>. The page look like this:</p> <p><img alt="enter imag![enter image description here][1]e description here" src="https://files.osf.io/v1/resources/bc3wn/providers/osfstorage/5d3e99446a1e6f0019d68dc7?mode=render"></p> <p>Clicking on “Choose files” will allow you to upload the data and the context files at the same time. Then you will have to indicate your first name, your last name, and your email address. Once you will have sent your files, we will contact you within seven business days to confirm that we received them. If you do not hear from us by then, do not hesitate to contact us directly at actionconstraint.metaanalysis@gmail.com.</p> <p><strong>6- When my data will be included in the meta-analysis?</strong></p> <p>We plan to update the meta-analysis every six months. Meanwhile you will be able to consult the list of the data already included and a list of the data that will be included in the next update. We will release an update note with each update of the meta-analysis that will consist in a revised discussion of the results.</p> <p><strong>7- Who can I contact if I encounter some issues or if I have any questions?</strong></p> <p>You can contact the team at actionconstraint.metaanalysis@gmail.com or Nicolas Morgado, the corresponding author, at nicolasmorgado-univparisnanterre@outlook.fr.</p>
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