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An exploratory PLS study of the academic success/failure

Bibliographic Data

ID7368307
AuthorsMário Bastos (0000-0001-9217-1859, Polytechnic Institute of Cávado and Ave), Teresa Abreu (0000-0001-6299-0730, Polytechnic Institute of Cávado and Ave), Estela Vilhena (0000-0002-3063-5117), Estelha Vilhena (Polytechnic Institute of Cávado and Ave), Joaquim Gonçalves (0000-0003-2219-1816, Polytechnic Institute of Cávado and Ave), Mariana Carvalho (0000-0002-6749-0900, Polytechnic Institute of Cávado and Ave)
Year2020
Volume15
Issue32
Pages83-105
Publication date2020-05-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Contemporânea de Educação (JOURNAL)
Journal identifiersISSN: 1809-5747
PublisherFederal University of Rio de Janeiro (PUBLISHER • BR)
DOI10.20500/rce.v15i32.29056
OpenAlexW3032419773
LanguageEN
Citations received1
References cited8

Strategies to combat academic failure in higher education rely on the identification and on the knowledge of the causes associated with it. To identify these causes, a questionnaire survey was implemented in a Higher School of Technologies and Engineering. Student-related aspects were those that exhibited the greatest impact on academic success/failure. Teachers and institution/curriculum exhibited an indirect impact through mediation by student-related aspects. Other variables were identified with a negative residual impact on academic success, such as: be displaced from the habitual residence, dislike to study and be a male. With a slightly more relevant impact, emerged the sleep time on the eve of the tests

Exploratory research · Mathematics education · Social science · Sociology · Psychology · Technology and Data Analysis

  • An exploratory PLS study of the academic success/failure

    Open Access•Mário Bastos, Teresa Abreu et al.•Revista Contemporânea de Educação•2020

  • PLS Path Modeling

    Vincenzo Esposito Vinzi, Laura Trinchera et al.•Handbook of Partial Least Squares•2010

  • Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure.

    John Ruscio, Brendan Roche•Psychological Assessment•2012

  • A primer on partial least squares structural equation modeling (PLS-SEM)

    Adrian Leguina•International Journal of Research…•2015

  • Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

    Open Access•Claes Fornell, David F Larcker•Journal of Marketing Research•1981

  • Leaving College

    Vincent Tinto•Leaving College•1994

  • An exploratory PLS study of the academic success/failure

    Open Access•Mário Bastos, Teresa Abreu et al.•Revista Contemporânea de Educação•2020

  • Self-Efficacy, Stress, and Academic Success in College

    Open Access•A Zajacova, M Lynch et al.•Research in Higher Education•2005

  • Comparison of five rules for determining the number of components to retain

    William R Zwick, Wayne F Velicer•Psychological Bulletin•1986

Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
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