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Dataset. Version: 1.0.0. Berlin: German Center for Integration and Migration Research (DeZIM). <a href=\"https://datasearch.fdz.dezim-institut.de/item/de.dezim/cfc62083-51b4-4729-b178-5dde4c212c01\"> https://doi.org/10.34882/dezim.mindset-iat.download.1.0.0 </a>","MultilingualStringValue":{},"BooleanValue":false,"HasDefinedType":false,"DisplayLabel":"Citation "} extension:CustomField {"Title":{"en-GB":"Access Rights","en":"Access Rights","de":"Zugangswege"},"Description":{},"ValueType":0,"HasValue":true,"RelationshipTargetType":"00000000-0000-0000-0000-000000000000","StringValue":"<strong>Download:</strong> Registered users with a research sketch and a scientific purpose.","MultilingualStringValue":{},"BooleanValue":false,"HasDefinedType":false,"DisplayLabel":"Access Rights"} extension:CustomField {"Title":{},"Description":{},"ValueType":0,"HasValue":true,"RelationshipTargetType":"00000000-0000-0000-0000-000000000000","StringValue":"<a class=\"application-form-button\" href=\"https://fdz.dezim-institut.de/de/dataset_requests/new\">Application Form</a> ","MultilingualStringValue":{},"BooleanValue":false,"HasDefinedType":false,"DisplayLabel":"<a class=\"application-form-button\" href=\"https://fdz.dezim-institut.de/de/dataset_requests/new\">Application Form</a> "} extension:CustomField {"Title":{"en-GB":"Date","en":"Date ","de":"Datum"},"Description":{},"ValueType":0,"HasValue":true,"RelationshipTargetType":"00000000-0000-0000-0000-000000000000","StringValue":"2026","MultilingualStringValue":{},"BooleanValue":false,"HasDefinedType":false,"DisplayLabel":"Date "} el-masri@dezim-institut.de II DeZIM MIND.set – Implizite Assoziationen zu Arabischen vs. Weißen Männern (IAT) DeZIM MIND.set – Implicit Associations toward Arab and White Men (IAT) DeZIM MIND.set – Implicit Associations toward Arab and White Men (IAT) Elli Zey Susanne Veit <p style="text-align: justify;"> Der MIND.set-IAT-Datensatz mit dem Titel „Implizite Assoziationen gegenüber arabischen Männern im Vergleich zu weißen Männern” umfasst zwei longitudinale Implicit Association Test (IAT)-Umfragen, die mit DeZIM-Panelteilnehmer*innen durchgeführt wurden. Die Daten enthalten Aufzeichnungen impliziter Bewertungen arabischer Männer im Vergleich zu weißen Männern auf der Grundlage spontaner Assoziationen mit positiven und negativen Attributen. Beide IATs verwendeten das gleiche Design und wiesen den Zielkategorien „ARABISCH“ und „WEISS“ sowie den Attributkategorien „GUT“ und „SCHLECHT“ zu. Für die Zielkategorie sahen die Teilnehmenden Fotos von arabischen und weißen Männern, die auf der Grundlage ihrer wahrgenommenen ethnischen Typikalität aus der <a href="https://datasearch.fdz.dezim-institut.de/item/de.dezim/495353c9-1672-477f-aa18-d1d464fcaa12" target="_blank" rel="noopener noreferrer" style="color: #0066cc; text-decoration: underline;">DeZIM Picture Database</a> ausgewählt wurden. Die Attributkategorien bestanden aus Wörtern, beispielsweise wurde „glücklich“ für die Kategorie gut und „schrecklich“ für die Kategorie schlecht verwendet. Die Daten wurden im Rahmen einer zusätzlichen Umfrage in Welle 13 (EW1, 2024), <span style="font-style: italic;">N</span> = 2813, und der Short Mindset Survey (ES2, 2025), <span style="font-style: italic;">N</span> = 2158, des DeZIM-Panels unter Verwendung der MIND.set-Plattform erhoben. Die Testdaten umfassen sowohl die MIND.set-Rohdaten als auch den IAT-Bias-Score (<span style="font-style: italic;">D</span>-Score), der auf der Grundlage des Best-Practice-Algorithmus von Greenwald et al. (2022) berechnet wurde. Die Testdaten können über eine persönliche Identifikationsnummer mit umfangreichen soziodemografischen und einstellungsbezogenen Paneldaten verknüpft werden. Dadurch kann der Datensatz für Querschnitts- und Längsschnittanalysen impliziter Einstellungen im Zusammenhang mit Migration, Diskriminierung und sozialem Zusammenhalt verwendet werden. </p> <p style="text-align: justify;"> The MIND.set IAT dataset, titled "Implicit Associations toward Arab vs. White Men," comprises two longitudinal Implicit Association Test (IAT) surveys conducted with DeZIM panel participants. The data contains records of implicit evaluations of Arab men compared to white men based on spontaneous associations with positive and negative attributes. Both IATs used the same design, assigning target categories of "ARAB" vs. "WHITE" and attribute categories "GOOD" vs. "BAD." For the target category, participants saw pictures of Arab and white men, which were selected based on their perceived ethnic typicality ratings from the <a href="https://datasearch.fdz.dezim-institut.de/item/de.dezim/495353c9-1672-477f-aa18-d1d464fcaa12" target="_blank" rel="noopener noreferrer" style="color: #0066cc; text-decoration: underline;">DeZIM Picture Database</a>. The attribute stimuli consisted of words; for example, "happy" was used for the good category, and "horrible" was used for the bad category. Data were collected as part of an additional survey in Wave 13 (EW1, 2024), <span style="font-style: italic;">N</span> = 2813, and the Short Mindset Survey (ES2, 2025), <span style="font-style: italic;">N</span> = 2158, of the DeZIM panel using the MIND.set platform. The test data includes raw MIND.set data as well as the IAT bias score (<span style="font-style: italic;">D</span> score), computed based on Greenwald et al.'s (2022) best-practice algorithm. The test data can be linked to extensive sociodemographic and attitude-related panel data via a personal identification number. This allows the dataset to be used for cross-sectional and longitudinal analyses of implicit attitudes in the context of migration, discrimination, and social cohesion. </p> <p style="text-align: justify;"> The MIND.set IAT dataset, titled "Implicit Associations toward Arab vs. White Men," comprises two longitudinal Implicit Association Test (IAT) surveys conducted with DeZIM panel participants. The data contains records of implicit evaluations of Arab men compared to white men based on spontaneous associations with positive and negative attributes. Both IATs used the same design, assigning target categories of "ARAB" vs. "WHITE" and attribute categories "GOOD" vs. "BAD." For the target category, participants saw pictures of Arab and white men, which were selected based on their perceived ethnic typicality ratings from the <a href="https://datasearch.fdz.dezim-institut.de/item/de.dezim/495353c9-1672-477f-aa18-d1d464fcaa12" target="_blank" rel="noopener noreferrer" style="color: #0066cc; text-decoration: underline;">DeZIM Picture Database</a>. The attribute stimuli consisted of words; for example, "happy" was used for the good category, and "horrible" was used for the bad category. Data were collected as part of an additional survey in Wave 13 (EW1, 2024), <span style="font-style: italic;">N</span> = 2813, and the Short Mindset Survey (ES2, 2025), <span style="font-style: italic;">N</span> = 2158, of the DeZIM panel using the MIND.set platform. The test data includes raw MIND.set data as well as the IAT bias score (<span style="font-style: italic;">D</span> score), computed based on Greenwald et al.'s (2022) best-practice algorithm. The test data can be linked to extensive sociodemographic and attitude-related panel data via a personal identification number. This allows the dataset to be used for cross-sectional and longitudinal analyses of implicit attitudes in the context of migration, discrimination, and social cohesion. </p> int.example ac020449-cd08-479d-b312-8a742e162fcc 2 Organization urn:ddi:de.dezim:93fb97fa-af8f-43b5-97da-b0d07c82d880:8 de.dezim 93fb97fa-af8f-43b5-97da-b0d07c82d880 8 v1 06.6b 06.6e 06.6g 07.7a 10 10.10a 12 13.13b 14 14.14e 23.23a 23.23b 23.23c 23.23g 23.34 33 04 urn:ddi:de.dezim:9b399552-66ec-4815-aec1-cf44b539ec16:8 de.dezim 9b399552-66ec-4815-aec1-cf44b539ec16 8 de.dezim 3741020c-cd1c-4a89-829a-5dcaa4f7ca17 4 PhysicalInstance de.dezim 124472fb-5713-4ca0-bb5a-9a05bf45bac9 3 PhysicalInstance