Czynniki sukcesu akademickiego studentów pierwszego roku - zastosowanie modelowania równań strukturalnych

• Autorzy: Grzegorz Kuczyński , Tomasz Przechlewski , Krystyna Strzała

Warianty tytułu

Academic Success Factors of First Year Students - Application of SEM Modeling

• Języki publikacji: PL

Abstrakty

Przedstawiono wyniki badań, których celem była próba określenia powiązań przyczynowych pomiędzy osiągnięciami w nauce studentów pierwszego roku studiów a ich cechami osobowymi, charakterystykami środowiska rodzinnego i innymi czynnikami. Analizę związków pomiędzy wybranymi zmiennymi a osiągniętymi wynikami w nauce przeprowadzono wykorzystując modelowanie równań strukturalnych; jako metodę estymacji zastosowano cząstkową metodę najmniejszych kwadratów (PLS). (fragment org. streszczenia)

EN

In the study we tried to determine the relationship between the students' personal attributes (such as age and gender), socioeconomic status, and other factors (such as qualifications held on entry - scores attained in high-school aptitude tests (AT) and/or General High School Certificate (GHSC) exam results) and their performance at the university. Prior research indicates that standardized measures such as aptitude (e.g. AT scores), prior academic performance (e.g. high school general point average (GPA)), and effort or motivation explain a significant portion of the variation of the students' class performance. The data compose a sample of primary (paper/pencil survey) and secondary sources (students' individual files). The academic performance of first-year students is measured by GPAs and predictor variables are scores in aptitude tests or high school GHSC - Math and Language (O'level and A' level), and factors such as socioeconomic status, academic and institutional integration, academic commitment, time spent on internet and recreation and financial resources. The survey includes 38 questions related to students' first year college experiences. In order to estimate relationships between predictors and students' academic achievements partial least squares (PLS) estimation method was used. Estimated models imply that previous achievements exert direct and significant influence on current GPAs. But their strength becomes reduced with the time passing and such factors as academic commitment and integration are gaining on importance. Socioeconomic status and financial resources influence directly only previous achievements while their impact on current academic performance is indirect. (original abstract)

Słowa kluczowe

PL

Szkolnictwo wyższe; Studenci; Strategia sukcesu; Modelowanie równań strukturalnych; Badania ankietowe

EN

Higher education; Students; Success strategy; Structural Equation Modeling; Questionnaire survey

• Czasopismo: Prace i Materiały Wydziału Zarządzania Uniwersytetu Gdańskiego
• Rocznik: 2007
• Numer: nr 5
• Strony: 259--276

Twórcy

autor

Grzegorz Kuczyński

autor

Tomasz Przechlewski

autor

Krystyna Strzała

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