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Chen, Yu; Starobin, Soko S. – Community College Journal of Research and Practice, 2018
This study examined a psychosocial mechanism of how general self-efficacy interacts with other key factors and influences degree aspiration for students enrolled in an urban diverse community college. Using general self-efficacy scales, the authors hypothesized the General Self-efficacy model for Community College students (the GSE-CC model). A…
Descriptors: Self Efficacy, Community Colleges, Structural Equation Models, Factor Analysis
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Chen, Yu – Community College Journal of Research and Practice, 2020
This quantitative study explored the statistical relationship between American Association of Community Colleges (AACC) leadership competencies and data-driven decision making (DDDM) literacy among rural community college leaders in the Midwest. Specifically, the authors examined how AACC community college leadership competencies may predict the…
Descriptors: Community Colleges, Rural Schools, Leadership Qualities, Competence
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DeJear, Marvin L., Jr.; Chen, Yu; Baber, Lorenzo DuBois; Li, Ran – Community College Enterprise, 2018
Data-driven decision making (DDDM), or the use of data to inform educational practices, has become an emerging field of interest over the past decade for educational leaders and researchers. The purpose of this quantitative study is to examine community college leaders' perspectives on institutional DDDM practice, especially those DDDM practices…
Descriptors: Student Attitudes, Data Use, Decision Making, Academic Achievement
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Chen, Yu; Li, Ran; Monaghan, Brett; Schmit, Matt; DeJear, Marvin; Upah, Sylvester C.; Starobin, Soko – AERA Online Paper Repository, 2017
This study explored the predictive relationship between leadership competencies and data driven decision making (DDDM) among rural community college leaders. The authors developed and disseminated a survey examining DDDM literacy level, community college leadership competencies, and other related key factors. Utilizing exploratory factor analysis,…
Descriptors: Data Analysis, Decision Making, Factor Analysis, Community Colleges
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Jorstad, John; Starobin, Soko S.; Chen, Yu; Kollasch, Aurelia – Community College Journal of Research and Practice, 2017
This quantitative study examined the predictive impact of a series of factors on female community college students' intention to transfer in science, technology, engineering, and mathematics (STEM). The STEM Student Success Literacy survey (SSSL) was utilized to collect data from a large, diverse community college located in Florida. After the…
Descriptors: STEM Education, Social Capital, Climate, Females
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Starobin, Soko S.; Chen, Yu; Kollasch, Aurelia; Baul, Tushi; Laanan, Frankie Santos – Community College Journal of Research and Practice, 2014
Using statewide survey study data collected from more than 5,000 community college students, this study examined the impact of a preengineering curriculum on students' self-efficacy level after they entered rural community colleges. Project Lead The Way (PLTW), is a project-based learning curriculum for middle and high school students that strives…
Descriptors: Community Colleges, Two Year College Students, Rural Schools, Engineering
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Myers, Bianca; Starobin, Soko S.; Chen, Yu; Baul, Tushi; Kollasch, Aurelia – Community College Journal of Research and Practice, 2015
This study examined the influence of community college students' engagement on their intention to transfer and major in a STEM (science, technology, engineering, and math) field. The STEM Student Success Literacy Survey was used to collect data among all 15 community colleges in Iowa. The authors developed a measurement model for community college…
Descriptors: Two Year College Students, Learner Engagement, Intention, Student Attitudes
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Kruse, Tracy; Starobin, Soko S.; Chen, Yu; Baul, Tushi; Santos Laanan, Frankie – Community College Journal of Research and Practice, 2015
This quantitative study examined how social capital and finances influenced community college students' intent to transfer to a four-year institution within STEM (science, technology, engineering, and math) fields. Focusing on the community college students enrolled in a rural midwestern state, the authors employed a structural equation modeling…
Descriptors: Statistical Analysis, Social Capital, Educational Finance, Two Year College Students