Interaction Effects Based on Class Level in an Explanatory Model of College Student Dropout Syndrome

Bean, John P.

doi:10.2307/1162986

Cited by 139 publications

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“…According to Gitto et al [4], dropout studies have heavily focused on demand-side characteristics such as students' prior educational achievements (before entering university), gender, age, motivation, financial constraints, sociodemographic background, and individual circumstances. Using path analysis, Bean [8] finds that college grades, institutional fit, and institutional commitment are important intervening variables in dropout syndrome. He also points out that the supply-side determinants of dropout (e.g., organizational conditions within universities) have only recently started receiving attention.…”

Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

“…For example, Bean [8] focuses on individual-level variables such as college grades, institutional fit, and institutional commitment. He shows that college grades seem more a product of selection than of socialization.…”

Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

“…The latter is about extracurricular activities and social relations. Gitto et al [4] comment that even though university dropout may be explained by the supply-side characteristics of the university as well as by students' individual characteristics, many studies have focused only on the latter factors [2,7,8]. Based on survey data, Pierrakeas et al [11] show that not only intrinsic (student-related) factors such as sickness, work/school conflicts, etc., but also extrinsic (institution-related) factors such as study methods and materials, educational approach, and tutors influence dropout at the university level.…”

Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

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Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Kim

2018

Sustainability

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University dropout is a serious problem. It affects not only the individual who drops out but also the university and society. However, most previous studies have focused only on the subjective/individual level. University dropout is a very important issue in South Korea, but it has not received much research attention so far. This study examined the possible causes of university dropout in South Korea at the aggregate level, focusing on four fundamental categories: students, resources, faculty, and university characteristics. Three-year balanced panel data from 2013 to 2015 were constructed and estimated by using nonlinear panel data models. The findings show that cost and burden for students, financial resources, qualitative and quantitative features of faculty, and type/size of the university have significant effects on university dropout.

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Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

Section: Research Trends Related To Dropout At the University Levelmentioning

confidence: 99%

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Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Kim

2018

Sustainability

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“…Previous work by Tileng, Wiranto and Latuperissa (2013) gave confidence to utilize this basis within Universitas Terbuka context. The origin of the study was Servqual and satisfaction integrated with prominent constructs within retention and/or persistence (Tinto, 1982(Tinto, , 1993(Tinto, & 1997 and attrition (Bean, 1983(Bean, & 1985. It makes such a progress in understanding elements of Servqual, satisfaction and retention (Hanaysha, Abdullah & Warokka, 2011).…”

Section: Related Literature and Frameworkmentioning

confidence: 99%

Validating student satisfaction related to persistence, academic performance, retention and career advancement within ODL perspectives

Sembiring

2015

Open Praxis

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Student satisfaction associated with persistence, academic performance, retention, and its relations to career advancement were examined. It was aimed at measuring service quality (Servqual) dimensions as a foundation of satisfaction and how, in what comportments, they were interrelated. The study was conducted under explanatory-design. Data was collected proportionally and purposively followed by congregating them through unified interviews. Population was 1,814 Universitas Terbuka students domiciled overseas; 350 questionnaires were dispersed, 169 completed. Satisfaction was assessed by examining Servqual dimensions. Importanceperformance analysis (IPA) and customer-satisfaction index (CSI) were applied to measure satisfaction and the level of its importance. Structural equation model (SEM) was then employed to examine influencing variables. Nine hypotheses developed were all validated by the analysis. Responsiveness, assurance, tangible, reliability, and empathy were in harmony to satisfaction. Career advancement, retention, academic performance, and persistence were influenced by satisfaction. Qualitative inquiry implemented afterwards was basically coherent with the quantitative findings.

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“…In a subsequent study, Bean (1985) proposed a revised model and found, in the empirical study of the model, that……”

mentioning

confidence: 99%

What works in student retention?: All survey colleges

Habley¹,

McClanahan²

2004

PsycEXTRA Dataset

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Interaction Effects Based on Class Level in an Explanatory Model of College Student Dropout Syndrome

Cited by 139 publications

References 0 publications

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Sustainable Education: Analyzing the Determinants of University Student Dropout by Nonlinear Panel Data Models

Validating student satisfaction related to persistence, academic performance, retention and career advancement within ODL perspectives

What works in student retention?: All survey colleges

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