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Social Identities and Trust in Scientists.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Social Identities and Trust in Scientists./
作者:	Allen, Henry Wallace.
面頁冊數:	1 online resource (95 pages)
附註:	Source: Masters Abstracts International, Volume: 85-04.
Contained By:	Masters Abstracts International85-04.
標題:	Black studies. -
電子資源:	click for full text (PQDT)
ISBN:	9798380593595

Social Identities and Trust in Scientists.
Allen, Henry Wallace.

Social Identities and Trust in Scientists. - 1 online resource (95 pages)

Source: Masters Abstracts International, Volume: 85-04.

Thesis (M.S.)--The University of Utah, 2023.

Includes bibliographical references

Trust in science is popularly discussed as a monolithic construct even though there are numerous components and considerations behind it. And despite being an attitude that can be socially formed, minimal prior research has investigated trust in science from the perspective of Social Identity Theory. Using survey data that features a general population sample (N = 1,085) alongside oversamples for Black (N = 508) and Hispanic (N = 511) individuals. I approach the broad concept of "trust in science" from the dimension of trust in scientists, and evaluate how social identity characteristics - race, ethnicity, gender, political ideology, religiosity, and STEM identity - might predict a general trust in scientists. Expanding further on the intricacies of trust in scientists, I evaluate how social identity characteristics predict the perceived trustworthiness of specific sources of science information. My analysis suggests that ascribed social identity characteristics like political ideology and Science, Technology, Engineering, and Mathematics (STEM) identity are generally the strongest predictors of general trust in scientists and trust in particular sources of science. Results also provide practical insight for science communication and outreach, such as indicating that Black and Hispanic individuals are more trusting of secondary sources for science information (relative to non-Black and non-Hispanic individuals), such as politicians and professional athletes.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380593595Subjects--Topical Terms:

1180118
Black studies.
Subjects--Index Terms:

BlackIndex Terms--Genre/Form:

554714
Electronic books.

Social Identities and Trust in Scientists.
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500 $a Source: Masters Abstracts International, Volume: 85-04.
500 $a Advisor: Yeo, Sara K.
502 $a Thesis (M.S.)--The University of Utah, 2023.
504 $a Includes bibliographical references
520 $a Trust in science is popularly discussed as a monolithic construct even though there are numerous components and considerations behind it. And despite being an attitude that can be socially formed, minimal prior research has investigated trust in science from the perspective of Social Identity Theory. Using survey data that features a general population sample (N = 1,085) alongside oversamples for Black (N = 508) and Hispanic (N = 511) individuals. I approach the broad concept of "trust in science" from the dimension of trust in scientists, and evaluate how social identity characteristics - race, ethnicity, gender, political ideology, religiosity, and STEM identity - might predict a general trust in scientists. Expanding further on the intricacies of trust in scientists, I evaluate how social identity characteristics predict the perceived trustworthiness of specific sources of science information. My analysis suggests that ascribed social identity characteristics like political ideology and Science, Technology, Engineering, and Mathematics (STEM) identity are generally the strongest predictors of general trust in scientists and trust in particular sources of science. Results also provide practical insight for science communication and outreach, such as indicating that Black and Hispanic individuals are more trusting of secondary sources for science information (relative to non-Black and non-Hispanic individuals), such as politicians and professional athletes.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
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