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<p><strong>Construal Level International Multi-lab Replication (CLIMR) Project Compendium</strong></p> <p>This project entails multi-lab collaborative replications of four studies on Construal Level Theory (CLT):</p> <p>Liberman, N., Sagristano, M. D., & Trope, Y. (2002). The effect of temporal distance on level of mental construal. <em>Journal of Experimental Social Psychology, 38</em>(6), 523-534. Experiment 1. </p> <p>Liberman, N., & Trope, Y. (1998). The role of feasibility and desirability considerations in near and distant future decisions: A test of temporal construal theory. <em>Journal of personality and social psychology, 75</em>(1), 5-18. Experiment 1. </p> <p>Henderson, M. D., Fujita, K., Trope, Y., & Liberman, N. (2006). Transcending the "here": the effect of spatial distance on social judgment. <em>Journal of Personality and Social Psychology, 91</em>(5), 845-856. Experiment 1. </p> <p>Wakslak, C. J., Trope, Y., Liberman, N., & Alony, R. (2006). Seeing the forest when entry is unlikely: probability and the mental representation of events. <em>Journal of Experimental Psychology: General, 135</em>(4), 641-653. Experiment 1. </p> <p><strong><em>Compendium Structure</em></strong></p> <p>The CLIMR project compendium comprises two main parts, one hosted on the Open Science Framework (OSF; <a href="https://osf.io/ra3dp/" rel="nofollow">https://osf.io/ra3dp/</a>) and one hosted on GitHub (<a href="https://github.com/RabbitSnore/CLIMR" rel="nofollow">https://github.com/RabbitSnore/CLIMR</a>). The OSF repository for CLIMR contains the materials, methods, and data (once data are collected). The GitHub repository contains the code necessary to execute and reproduce the statistical analyses for the project.</p> <p><strong><em>Navigating the OSF Repository</em></strong></p> <p><em>Materials</em></p> <p>The materials for the replications can be found in the subcomponent "Methods and Study Material" (<a href="https://osf.io/zywms/" rel="nofollow">https://osf.io/zywms/</a>).</p> <p>In this subcomponent, you will find a document (.docx) describing the changes made in the replications from the original experiments, as well as copies of the materials used in the replications.</p> <p>If you are interested in examining the template questionnaires used in the replications, we recommend that you examine the "replication protocols" that are stored as MS Word documents (.docx) in the OSF file storage. In addition to the replication protocols, there is a "general questionnaire" document (.docx), which contains items to which all participants responded (across the four replication studies). These documents are designed to be human-readable and to provide an understanding of the content to which participants are exposed in each study. Each file is labeled with the name of the corresponding replicated experiment. </p> <p>If you are interested in recreating a version of the materials used in the replications, we recommend using the file <code>CLIMR_full-template-survey.qsf</code>. This file can be imported into the Qualtrics survey platform and will recreate the English template survey on which the translated versions are based. This recreation will include the survey flow logic, as well as supporting code (JavaScript, HTML) for running the object categorization tasks and segmentation tasks.</p> <p>If you are interested in examining the materials used in the replications, including the survey flow logic, without directly recreating the online survey, we recommend examining the file <code>CLIMR_exported-survey.docx</code>. This document was exported from Qualtrics and contains the survey flow, variable labels, and question formats. Unfortunately, this document can be difficult to navigate and is not formatted for easy reading. However, it contains a substantial amount of information, for the interested user. The procedure cannot be easily reproduced directly from this document. Rather, it is useful for error-checking and close examination of the methods.</p> <p><em>Data</em></p> <p>Currently, no data have been collected. When data have been collected, they will be made available in the OSF repository.</p> <p><strong><em>Reproducing the Statistical Analyses</em></strong></p> <p>If you are interested in reproducing the statistical analyses using real or simulated data, visit the CLIMR GitHub repository (<a href="https://github.com/RabbitSnore/CLIMR" rel="nofollow">https://github.com/RabbitSnore/CLIMR</a>) and follow the instructions in the readme there. The GitHub repository is also linked to the OSF repository.</p>
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