• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Let me read your mind: Personality judgments based on a person’s natural stream of thought

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    HolleranMehl_JRP_SOC.pdf
    Size:
    197.3Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Holleran, Shannon E.
    Mehl, Matthias R.
    Affiliation
    Department of Psychology, University of Arizona
    Issue Date
    2007-08-01
    Keywords
    Person perception
    Stream of consciousness
    Personality judgment
    
    Metadata
    Show full item record
    Publisher
    Elsevier BV
    Citation
    Holleran, S. E., & Mehl, M. R. (2008). Let me read your mind: Personality judgments based on a person’s natural stream of thought. Journal of research in personality, 42(3), 747-754.
    Journal
    Journal of Research in Personality
    Rights
    © 2007 Elsevier Inc. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Past research on the accuracy of personality judgments has largely focused on person perception scenarios that are public in nature (e.g., face-to-face interactions, personal websites). This study investigated the accuracy of personality judgments on the basis of highly private information: a person’s natural stream of thought. Nine naïve judges rated the personality of 90 targets on the basis of their 20-min stream-of-consciousness essays. Judges’ level of accuracy was significant and substantial for all Big Five dimensions. The substantial and relatively uniform accuracy across all Big Five dimensions suggests that a person’s moment-to-moment thoughts provide good information for the accurate judgment of personality in general rather than specific diagnostic information for the accurate judgment of private traits such as Neuroticism.
    Note
    24 month embargo; first published 1 August 2007
    ISSN
    0092-6566
    DOI
    10.1016/j.jrp.2007.07.011
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jrp.2007.07.011
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.