1,721,138 research outputs found

    pennycook_online_appendix – Supplemental material for Cognitive Reflection and the 2016 U.S. Presidential Election

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    Supplemental material, pennycook_online_appendix for Cognitive Reflection and the 2016 U.S. Presidential Election by Gordon Pennycook and David G. Rand in Personality and Social Psychology Bulletin</p

    sj-docx-1-cdp-10.1177_09637214211054761 – Supplemental material for Field Experiments on Social Media

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    Supplemental material, sj-docx-1-cdp-10.1177_09637214211054761 for Field Experiments on Social Media by Mohsen Mosleh, Gordon Pennycook and David G. Rand in Current Directions in Psychological Science</p

    Supplemental Material, Supplementary_file-837002Almatouq - Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk

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    Supplemental Material, Supplementary_file-837002Almatouq for Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk by Abdullah Almaatouq, Peter Krafft, Yarrow Dunham, David G. Rand and Alex Pentland in Social Psychological and Personality Science</p

    When do we punish people who don’t?

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    Data and code for "When do we punish people who don't". Authors Justin W. Martin, Jillian J. Jordan, David G. Rand and Fiery Cushma

    sj-docx-1-pss-10.1177_0956797620939054 – Supplemental material for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

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    Supplemental material, sj-docx-1-pss-10.1177_0956797620939054 for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention by Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu and David G. Rand in Psychological Science</p

    sj-pdf-2-pss-10.1177_0956797620939054 – Supplemental material for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

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    Supplemental material, sj-pdf-2-pss-10.1177_0956797620939054 for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention by Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu and David G. Rand in Psychological Science</p

    sj-docx-3-pss-10.1177_0956797620939054 – Supplemental material for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

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    Supplemental material, sj-docx-3-pss-10.1177_0956797620939054 for Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention by Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G. Lu and David G. Rand in Psychological Science</p

    De_keersmaecker_OnlineAppendix – Supplemental material for Investigating the Robustness of the Illusory Truth Effect Across Individual Differences in Cognitive Ability, Need for Cognitive Closure, and Cognitive Style

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    Supplemental material, De_keersmaecker_OnlineAppendix for Investigating the Robustness of the Illusory Truth Effect Across Individual Differences in Cognitive Ability, Need for Cognitive Closure, and Cognitive Style by Jonas De keersmaecker, David Dunning, Gordon Pennycook, David G. Rand, Carmen Sanchez, Christian Unkelbach and Arne Roets in Personality and Social Psychology Bulletin</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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