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1000 Titel
  • Comparing Social Perceptions of Culturally Emic Protagonists Using the Stereotype Content Model
1000 Autor/in
  1. Schemmerling, Moritz |
  2. Friehs, Maria-Therese |
  3. Kotzur, Patrick |
  4. Bastias, Franco |
  5. De keersmaecker, Jonas |
  6. Lima Macedo, Francisco Guilherme |
  7. Neto, Félix |
  8. Neto, Joana |
  9. Pietraszkiewicz, Agnieszka |
  10. Schmid, Katharina |
  11. Sczesny, Sabine |
  12. Torres, Claudio |
  13. Boehnke, Klaus |
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-12-23
1000 Erschienen in
1000 Quellenangabe
  • 4(1):350-362
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1027/2698-1866/a000067 |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p> Abstract: Cross-cultural comparisons are often based on a single itemset that is used in several cultures and languages being translated semantically correct. In contrast, a new, emic, approach measures the same construct with individually created items for each culture and language. To test this emic approach, the current paper used the stereotype content model (SCM) with its dimensions, warmth, and competence. It is used to compare perceptions of people, residing in different countries, speaking different languages. The current paper reports a study ( N = 2,901) that tests whether an adapted scale allows reliable and structurally valid measurement and comparisons of culturally emic protagonists on SCM dimensions across four languages (English, German, Portuguese, Spanish) in eight countries (United States, United Kingdom, Germany, Switzerland, Portugal, Brazil, Spain, Argentina). The warmth dimension emerges as largely universal, but the competence dimension is a more culture-specific construct. Cross-cultural comparisons as to the competence dimension should be treated with care. </jats:p>
1000 Sacherschließung
lokal Original Article
lokal multilingual
lokal etic
lokal measurement invariance
lokal Special Collection: Challenges in Translating and Adapting Psychological Measures to Spanish/Portuguese
lokal stereotype content model
lokal Methodological Topics in Assessment
lokal emic
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6099-5810|https://orcid.org/0000-0002-5897-8226|https://orcid.org/0000-0002-5193-3359|https://orcid.org/0000-0002-9477-1417|https://orcid.org/0000-0002-8062-7422|https://orcid.org/0000-0002-5785-3026|https://orcid.org/0000-0003-0112-880X|https://frl.publisso.de/adhoc/uri/TmV0bywgSm9hbmE=|https://orcid.org/0000-0003-1009-9238|https://orcid.org/0000-0001-6018-9245|https://frl.publisso.de/adhoc/uri/U2N6ZXNueSwgU2FiaW5l|https://orcid.org/0000-0002-3727-7391|https://orcid.org/0000-0002-5435-4037
1000 Hinweis
  • DeepGreen-ID: 8904caed8882484d830f53ccc2179723 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2024-03-21T14:31:06.857+0100
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1000 Zuletzt bearbeitet 2024-05-07T16:39:28.024+0200
1000 Objekt bearb. Tue May 07 16:39:28 CEST 2024
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