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Using Social Network Analysis to Exa...
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ProQuest Information and Learning Co.
Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior./
Author:
Long, Emily.
Description:
1 online resource (110 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:
Dissertation Abstracts International79-10B(E).
Subject:
Social psychology. -
Online resource:
click for full text (PQDT)
ISBN:
9780355943054
Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior.
Long, Emily.
Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior.
- 1 online resource (110 pages)
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Thesis (Ph.D.)--Utah State University, 2018.
Includes bibliographical references
Adolescence marks a vulnerable developmental period for health behavior, and research demonstrates that social context and interpersonal relationships impact the health behavior choices of adolescents. In addition, theories of adolescent development suggest a bidirectional relationship between environmental factors, including social relationships, and health. Friendships are one of the most salient relationships during adolescence, and new methods from the field of social network analysis allow researchers to explicitly examine the mechanisms through which friends influence health behavior, and simultaneously, how health and health behavior impacts the formation of friendships. Importantly, social network methods (e.g., stochastic actor-based models, exponential random graph models) overcome statistical limitations of alternative methodology. For example, methods from social network analysis incorporate interdependencies between individuals in a social network (e.g., adolescents within a school) into the statistical modeling framework, and are capable of simultaneously estimating social and behavioral outcomes. Through a sequence of three distinct studies, this project applies rigorous methods from social network analysis to investigate: (1) the differential impact of adolescent friendships on health-risk (e.g., alcohol use) and health-protective (e.g., physical activity) behaviors; (2) the role of perceived social acceptability and peer influence in shaping adolescent cigarette use; and (3) the social consequences, including social withdrawal and social marginalization, of adolescents with chronic illness.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355943054Subjects--Topical Terms:
554804
Social psychology.
Index Terms--Genre/Form:
554714
Electronic books.
Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior.
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Using Social Network Analysis to Examine the Intersection of Adolescent Friendships and Health Behavior.
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Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
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Adviser: Ginger Lockhart.
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Thesis (Ph.D.)--Utah State University, 2018.
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Includes bibliographical references
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Adolescence marks a vulnerable developmental period for health behavior, and research demonstrates that social context and interpersonal relationships impact the health behavior choices of adolescents. In addition, theories of adolescent development suggest a bidirectional relationship between environmental factors, including social relationships, and health. Friendships are one of the most salient relationships during adolescence, and new methods from the field of social network analysis allow researchers to explicitly examine the mechanisms through which friends influence health behavior, and simultaneously, how health and health behavior impacts the formation of friendships. Importantly, social network methods (e.g., stochastic actor-based models, exponential random graph models) overcome statistical limitations of alternative methodology. For example, methods from social network analysis incorporate interdependencies between individuals in a social network (e.g., adolescents within a school) into the statistical modeling framework, and are capable of simultaneously estimating social and behavioral outcomes. Through a sequence of three distinct studies, this project applies rigorous methods from social network analysis to investigate: (1) the differential impact of adolescent friendships on health-risk (e.g., alcohol use) and health-protective (e.g., physical activity) behaviors; (2) the role of perceived social acceptability and peer influence in shaping adolescent cigarette use; and (3) the social consequences, including social withdrawal and social marginalization, of adolescents with chronic illness.
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Ann Arbor, Mich. :
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2018
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click for full text (PQDT)
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