1,721,008 research outputs found
LeMensSupplementalMaterial1 – Supplemental material for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings
No full textSupplemental material, LeMensSupplementalMaterial1 for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings by Gaël Le Mens, Balázs Kovács, Judith Avrahami and Yaakov Kareev in Psychological Science</p
LeMensOpenPracticesDisclosure – Supplemental material for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings
No full textSupplemental material, LeMensOpenPracticesDisclosure for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings by Gaël Le Mens, Balázs Kovács, Judith Avrahami and Yaakov Kareev in Psychological Science</p
LeMensSupplementalMaterial2 – Supplemental material for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings
No full textSupplemental material, LeMensSupplementalMaterial2 for How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings by Gaël Le Mens, Balázs Kovács, Judith Avrahami and Yaakov Kareev in Psychological Science</p
Edgar Allen Poe's Riddle: Do Guessers Outperform Misleaders in a Repeated Matching Pennies Game?
Full text linkThe Evaluative Advantage of Novel Alternatives: An Information Sampling Account
No full textExperimental Data for article The Evaluative Advantage of Novel Alternatives: An Information-Sampling Account, (Gaël Le Mens, Yaakov Kareev and Judith Avrahami), Psychological Science, forthcoming, (September 2015)
The Evaluative Advantage of Novel Alternatives: An Information Sampling Account
No full textExperimental Data for article The Evaluative Advantage of Novel Alternatives: An Information-Sampling Account, (Gaël Le Mens, Yaakov Kareev and Judith Avrahami), Psychological Science, forthcoming, (September 2015)
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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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