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Examining STEM Formative Experiences and College STEM Outcomes from a Social Cognitive Career Theory Perspective.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Examining STEM Formative Experiences and College STEM Outcomes from a Social Cognitive Career Theory Perspective./
作者:
Bradford, Brittany Caitlin.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
179 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Contained By:
Dissertations Abstracts International83-03A.
標題:
Psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28735498
ISBN:
9798535521343
Examining STEM Formative Experiences and College STEM Outcomes from a Social Cognitive Career Theory Perspective.
Bradford, Brittany Caitlin.
Examining STEM Formative Experiences and College STEM Outcomes from a Social Cognitive Career Theory Perspective.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 179 p.
Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Thesis (Ph.D.)--Rice University, 2020.
This item must not be sold to any third party vendors.
College STEM (science, technology, engineering, and math) major matriculation and attrition decisions may be influenced by experiences occurring much earlier in students' lives than their contemporary college experiences. This research was guided by social cognitive career theory (SCCT; Lent, Brown, & Hackett, 1994), which describes how students develop career interests, make choices as a result of these interests, interpret their successes and failures, and ultimately make career decisions. Although many studies of STEM interest, self-efficacy, and academic behavior have been conducted on high school and college students, childhood experiences have been less studied, despite the emphasis that SCCT places on early life experiences. Using a biodata measure that incorporated background influences and learning experiences factors previously developed from semi-structured interviews with STEM students, I conducted a two-part study. Study 1 entailed an exploratory factor analysis of the biodata measure and other constructs on underprepared STEM students at Rice (N = 154). After refining the biodata measure, a confirmatory factor analysis and structural equation model were conducted on a separate sample of Rice freshmen in Study 2 (N = 175). Findings from both studies provide support for a seven-factor model and a reasonable fit with a modified structural equation model based on SCCT. These seven factors comprise three background influence factors (general parent support, STEM parent support, and teacher support) and four formative experience factors (math extracurricular activities and competitions, science extracurricular activities and competitions, proactive behavior, and STEM knowledge). All were significant in the full structural equation model except teacher support. Further research will be necessary to refine and validate this measure on other samples and develop greater insight into the relationships between this new measure and STEM self-efficacy, STEM interest, career outcome expectations, initial college major, and intended college major. Ultimately, these studies may guide future research that uses a theoretical approach to explore the STEM experiences of students at all education levels, as well as define factors that schools and program administrators may find valuable to explore in future STEM interventions.
ISBN: 9798535521343Subjects--Topical Terms:
519075
Psychology.
Subjects--Index Terms:
Science, technology, engineering, and math education
Examining STEM Formative Experiences and College STEM Outcomes from a Social Cognitive Career Theory Perspective.
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College STEM (science, technology, engineering, and math) major matriculation and attrition decisions may be influenced by experiences occurring much earlier in students' lives than their contemporary college experiences. This research was guided by social cognitive career theory (SCCT; Lent, Brown, & Hackett, 1994), which describes how students develop career interests, make choices as a result of these interests, interpret their successes and failures, and ultimately make career decisions. Although many studies of STEM interest, self-efficacy, and academic behavior have been conducted on high school and college students, childhood experiences have been less studied, despite the emphasis that SCCT places on early life experiences. Using a biodata measure that incorporated background influences and learning experiences factors previously developed from semi-structured interviews with STEM students, I conducted a two-part study. Study 1 entailed an exploratory factor analysis of the biodata measure and other constructs on underprepared STEM students at Rice (N = 154). After refining the biodata measure, a confirmatory factor analysis and structural equation model were conducted on a separate sample of Rice freshmen in Study 2 (N = 175). Findings from both studies provide support for a seven-factor model and a reasonable fit with a modified structural equation model based on SCCT. These seven factors comprise three background influence factors (general parent support, STEM parent support, and teacher support) and four formative experience factors (math extracurricular activities and competitions, science extracurricular activities and competitions, proactive behavior, and STEM knowledge). All were significant in the full structural equation model except teacher support. Further research will be necessary to refine and validate this measure on other samples and develop greater insight into the relationships between this new measure and STEM self-efficacy, STEM interest, career outcome expectations, initial college major, and intended college major. Ultimately, these studies may guide future research that uses a theoretical approach to explore the STEM experiences of students at all education levels, as well as define factors that schools and program administrators may find valuable to explore in future STEM interventions.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28735498
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