8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Domain-Specific Greed

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Greed, the insatiable and excessive desire and striving for more even at the expense of others, may be directed toward various goods. In this article, we propose that greed may be conceptualized as a domain-specific construct. Based on a literature review and an expert survey, we identified 10 domains of greed which we operationalized with the DOmain-SPEcific Greed (DOSPEG) questionnaire. In Study 1 ( N = 725), we found support for the proposed structure and convergent validity with related constructs. Bifactor-(S-1) models revealed that generic greed is differentially related to the greed domains, indicating that generic greed primarily captures a striving for money and material things. In the second study ( N = 591), we found that greed domains had incremental validity beyond generic greed with regard to corresponding criteria assessed via self- and other-reports. We conclude that greed can be conceptualized as a domain-specific construct and propose an onion model reflecting this structure.

          Related collections

          Most cited references103

          • Record: found
          • Abstract: found
          • Article: not found

          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            lavaan: AnRPackage for Structural Equation Modeling

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation.

              Coefficient alpha is the most popular measure of reliability (and certainly of internal consistency reliability) reported in psychological research. This is noteworthy given the numerous deficiencies of coefficient alpha documented in the psychometric literature. This mismatch between theory and practice appears to arise partly because users of psychological scales are unfamiliar with the psychometric literature on coefficient alpha and partly because alternatives to alpha are not widely known. We present a brief review of the psychometric literature on coefficient alpha, followed by a practical alternative in the form of coefficient omega. To facilitate the shift from alpha to omega, we also present a brief guide to the calculation of point and interval estimates of omega using a free, open source software environment. © 2013 The British Psychological Society.
                Bookmark

                Author and article information

                Journal
                Pers Soc Psychol Bull
                Pers Soc Psychol Bull
                PSP
                sppsp
                Personality & Social Psychology Bulletin
                SAGE Publications (Sage CA: Los Angeles, CA )
                0146-1672
                1552-7433
                25 January 2023
                June 2024
                : 50
                : 6
                : 889-905
                Affiliations
                [1 ]University Hospital Würzburg, Germany
                [2 ]Freie Universität Berlin, Germany
                [3 ]Universität Augsburg, Germany
                [4 ]Julius-Maximilians-Universität Würzburg, Germany
                Author notes
                [*]Martin Weiß, University Hospital Würzburg, Margarete-Höppel-Platz 1, Würzburg 97080, Germany. Email: weiss_m11@ 123456ukw.de
                [*]Anja Göritz, Universität Augsburg, Behavioral Health Technology, Alter Postweg 101, Augsburg 86159, Germany. Email: anja.goeritz@ 123456uni-a.de
                [*]

                Both authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-0569-0907
                https://orcid.org/0000-0002-4638-0489
                Article
                10.1177_01461672221148004
                10.1177/01461672221148004
                11080388
                36695331
                ec695b3b-67cd-472f-9f55-f4e30213e556
                © 2023 by the Society for Personality and Social Psychology, Inc

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 6 May 2022
                : 30 November 2022
                Categories
                Articles
                Custom metadata
                ts1

                domain-specific greed,dispositional greed,personality,bifactor-(s-1) model

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content220

                Cited by2

                Most referenced authors1,492