東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

A Culturally Responsive Evaluation Lens to Logic Model Design.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Culturally Responsive Evaluation Lens to Logic Model Design./
Author:	Knight, Ciara C.
Description:	1 online resource (164 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Contained By:	Dissertations Abstracts International85-01A.
Subject:	Psychobiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30421220click for full text (PQDT)
ISBN:	9798379900458

A Culturally Responsive Evaluation Lens to Logic Model Design.
Knight, Ciara C.

A Culturally Responsive Evaluation Lens to Logic Model Design. - 1 online resource (164 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: A.

Thesis (Ph.D.)--The Claremont Graduate University, 2023.

Includes bibliographical references

Culturally responsive evaluation (CRE) is an approach that centers all evaluation processes around the culture of a program's secondary stakeholders. Specifically, this entails ensuring shared meanings in a group through communication. However, minimal connections have been made between CRE and logic model designs. Logic models commonly used by evaluators are data visualization and communication tools designed to aid in effectively communicating a program's theory. Nevertheless, little is understood about the role culture plays in this process.This multiphase mixed methods study explored the integration of CRE to logic model designs using individualism and collectivism (IC) as a construct for culture and as a basis for tailoring the designs. Specifically, Phase 1 utilized an exploratory sequential design to develop the Logic Model Knowledge Test (LMKT) based upon expert evaluation insight and Amazon Mechanical Turk (MTurk). This addressed how learning from a logic model can be assessed. The LMKT was designed to assess the understanding of logic model components and the content of the program theory. It yielded good validity and reliability and was used in the final phase of the study. Phase 2 used a quantitative two-group comparison design to answer the question, which measures of IC would be more likely to help inform how people interpret logic models differently? Of three existing measures, Wagner (1995) was identified as a highly reliable measure that better distinguished IC-oriented people. Accordingly, it was used in the final phase of the study.Lastly, Phase 3's mixed methods experimental design utilizing the LMKT and Wagner's (1995) IC measure was implemented to help answer six questions regarding whether culturally tailored language, visualizations, or both impacted participants' visual efficiency (VE) and perceived credibility of the program (CP). The findings suggest collectivistic MTurk participants had higher VE across seven culturally tailored logic model conditions. Collectivistic-oriented participants could better quickly and accurately answer the LMKT questions with less mental effort across all logic model conditions than individualistic-oriented participants. Yet, these conditions did not impact IC MTurk participants' CP. Participants rated the program theory as credible across the logic model conditions regardless of their IC orientation.The findings provided partial empirical support for integrating CRE in logic model designs. Moreover, they added to the validity of the IC construct and Wagner's (1995) measure. The findings also had valuable implications for evaluation practice through measures that could be used to better understand stakeholder cultural values aligned with communication styles and their knowledge of logic models. Finally, these same tools could be used for future research on evaluation concerning CRE and logic model designs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379900458Subjects--Topical Terms:

555678
Psychobiology.
Subjects--Index Terms:

Culturally responsive evaluationIndex Terms--Genre/Form:

542853
Electronic books.

A Culturally Responsive Evaluation Lens to Logic Model Design.
LDR:04310nmm a2200397K 4500 001 2359239
005 20230918120632.5
006 m o d
007 cr mn ---uuuuu
008 241011s2023 xx obm 000 0 eng d
020 $a 9798379900458
035 $a (MiAaPQ)AAI30421220
035 $a AAI30421220
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Knight, Ciara C. $3 3699831
245 1 2 $a A Culturally Responsive Evaluation Lens to Logic Model Design.
264 0 $c 2023
300 $a 1 online resource (164 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
500 $a Advisor: Azzam, Tarek.
502 $a Thesis (Ph.D.)--The Claremont Graduate University, 2023.
504 $a Includes bibliographical references
520 $a Culturally responsive evaluation (CRE) is an approach that centers all evaluation processes around the culture of a program's secondary stakeholders. Specifically, this entails ensuring shared meanings in a group through communication. However, minimal connections have been made between CRE and logic model designs. Logic models commonly used by evaluators are data visualization and communication tools designed to aid in effectively communicating a program's theory. Nevertheless, little is understood about the role culture plays in this process.This multiphase mixed methods study explored the integration of CRE to logic model designs using individualism and collectivism (IC) as a construct for culture and as a basis for tailoring the designs. Specifically, Phase 1 utilized an exploratory sequential design to develop the Logic Model Knowledge Test (LMKT) based upon expert evaluation insight and Amazon Mechanical Turk (MTurk). This addressed how learning from a logic model can be assessed. The LMKT was designed to assess the understanding of logic model components and the content of the program theory. It yielded good validity and reliability and was used in the final phase of the study. Phase 2 used a quantitative two-group comparison design to answer the question, which measures of IC would be more likely to help inform how people interpret logic models differently? Of three existing measures, Wagner (1995) was identified as a highly reliable measure that better distinguished IC-oriented people. Accordingly, it was used in the final phase of the study.Lastly, Phase 3's mixed methods experimental design utilizing the LMKT and Wagner's (1995) IC measure was implemented to help answer six questions regarding whether culturally tailored language, visualizations, or both impacted participants' visual efficiency (VE) and perceived credibility of the program (CP). The findings suggest collectivistic MTurk participants had higher VE across seven culturally tailored logic model conditions. Collectivistic-oriented participants could better quickly and accurately answer the LMKT questions with less mental effort across all logic model conditions than individualistic-oriented participants. Yet, these conditions did not impact IC MTurk participants' CP. Participants rated the program theory as credible across the logic model conditions regardless of their IC orientation.The findings provided partial empirical support for integrating CRE in logic model designs. Moreover, they added to the validity of the IC construct and Wagner's (1995) measure. The findings also had valuable implications for evaluation practice through measures that could be used to better understand stakeholder cultural values aligned with communication styles and their knowledge of logic models. Finally, these same tools could be used for future research on evaluation concerning CRE and logic model designs.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Psychobiology. $3 555678
650 4 $a Psychology. $3 519075
650 4 $a Educational evaluation. $3 526425
653 $a Culturally responsive evaluation
653 $a Data visualization
653 $a Logic models
653 $a Communication tools
653 $a Logic Model Knowledge Test
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0349
690 $a 0621
690 $a 0443
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a The Claremont Graduate University. $b School of Social Science, Politics, and Evaluation. $3 3541184
773 0 $t Dissertations Abstracts International $g 85-01A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30421220 $z click for full text (PQDT)