東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Formation, Measurement, and Imputati...

Bates, Jordan T.

FindBook

Google Book

Amazon

博客來

Formation, Measurement, and Imputation of Social Ties.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Formation, Measurement, and Imputation of Social Ties./
作者:	Bates, Jordan T.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	133 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-05, Section: A.
Contained By:	Dissertations Abstracts International81-05A.
標題:	Applied mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22588329
ISBN:	9781088368619

Formation, Measurement, and Imputation of Social Ties.
Bates, Jordan T.

Formation, Measurement, and Imputation of Social Ties. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 133 p.

Source: Dissertations Abstracts International, Volume: 81-05, Section: A.

Thesis (Ph.D.)--Arizona State University, 2019.

This item must not be sold to any third party vendors.

Network analysis is a key conceptual orientation and analytical tool in the social sciences that emphasizes the embeddedness of individual behavior within a larger web of social relations. The network approach is used to better understand the cause and consequence of social interactions which cannot be treated as independent. The relational nature of network data and models, however, amplify the methodological concerns associated with inaccurate or missing data. This dissertation addresses such concerns via three projects. As a motivating substantive example, Project 1 examines factors associated with the selection of interaction partners by students at a large urban high school implementing a reform which, like many organizational improvement initiatives, is associated with a theory of change that posits changes to the structuring of social interactions as a central causal pathway to improved outcomes. A distinctive aspect of the data used in Project 1 is that it was a complete egocentric network census - in addition to being asked about their own relationships, students were asked about the relationships between alters that they nominated in the self-report. This enables two unique examinations of methodological challenges in network survey data collection: Project 2 examines the factors related to how well survey respondents assess the strength of social connections between others, finding that "informant" competence corresponds positively with their social proximity to target dyad as well as their centrality in the network. Project 3 explores using such third-party reports to augment network imputation methods, and finds that incorporating third-party reports into model-based methods provides a significant boost in imputation accuracy. Together these findings provide important implications for collecting and extrapolating data in research contexts where a complete social network census is highly desirable but infeasible.

ISBN: 9781088368619Subjects--Topical Terms:

2122814
Applied mathematics.
Subjects--Index Terms:

Education

Formation, Measurement, and Imputation of Social Ties.
LDR:03118nmm a2200385 4500 001 2269061
005 20200908082321.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781088368619
035 $a (MiAaPQ)AAI22588329
035 $a AAI22588329
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bates, Jordan T. $3 3546365
245 1 0 $a Formation, Measurement, and Imputation of Social Ties.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 133 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-05, Section: A.
500 $a Advisor: Maroulis, Spiro J.;Kang, Yun.
502 $a Thesis (Ph.D.)--Arizona State University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Network analysis is a key conceptual orientation and analytical tool in the social sciences that emphasizes the embeddedness of individual behavior within a larger web of social relations. The network approach is used to better understand the cause and consequence of social interactions which cannot be treated as independent. The relational nature of network data and models, however, amplify the methodological concerns associated with inaccurate or missing data. This dissertation addresses such concerns via three projects. As a motivating substantive example, Project 1 examines factors associated with the selection of interaction partners by students at a large urban high school implementing a reform which, like many organizational improvement initiatives, is associated with a theory of change that posits changes to the structuring of social interactions as a central causal pathway to improved outcomes. A distinctive aspect of the data used in Project 1 is that it was a complete egocentric network census - in addition to being asked about their own relationships, students were asked about the relationships between alters that they nominated in the self-report. This enables two unique examinations of methodological challenges in network survey data collection: Project 2 examines the factors related to how well survey respondents assess the strength of social connections between others, finding that "informant" competence corresponds positively with their social proximity to target dyad as well as their centrality in the network. Project 3 explores using such third-party reports to augment network imputation methods, and finds that incorporating third-party reports into model-based methods provides a significant boost in imputation accuracy. Together these findings provide important implications for collecting and extrapolating data in research contexts where a complete social network census is highly desirable but infeasible.
590 $a School code: 0010.
650 4 $a Applied mathematics. $3 2122814
650 4 $a Social structure. $3 528995
650 4 $a Statistics. $3 517247
653 $a Education
653 $a Imputation
653 $a Methodology
653 $a Network
653 $a Social networks
653 $a Social sciences
690 $a 0364
690 $a 0700
690 $a 0463
710 2 $a Arizona State University. $b Applied Mathematics for the Life and Social Sciences. $3 3179485
773 0 $t Dissertations Abstracts International $g 81-05A.
790 $a 0010
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22588329