Lakehead University Library Logo
    • Login
    View Item 
    •   Knowledge Commons
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations from 2009
    • View Item
    •   Knowledge Commons
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations from 2009
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    quick search

    Browse

    All of Knowledge CommonsCommunities & CollectionsBy Issue DateAuthorTitleSubjectDisciplineAdvisorCommittee MemberThis CollectionBy Issue DateAuthorTitleSubjectDisciplineAdvisorCommittee Member

    My Account

    Login

    Statistics

    View Usage Statistics

    Identifying variables affecting students' academic performance among engineering students

    Thumbnail

    View/Open

    WaliF2018m-1b.pdf (2.118Mb)

    Date

    2018

    Author

    Wali, Fahad

    Degree

    Master of Science

    Discipline

    Computer Science

    Subject

    Structural Equation Modelling
    Path analysis
    Confirmatory Factor Analysis
    Evaluating academic performance
    Demographic variables and student success

    Metadata

    Show full item record

    Abstract

    An essential consideration for campus administrators and faculty members is that students complete their degree with good academic grades. Being able to predict factors affecting students performance is necessary to help ensure the supply of quality students. The purpose of this study is to determine the factors affecting transfer students' academic performance (AP) who are taking Baccalaureate degree in the university. The sample used in this study includes 996 students (934 males and 62 females). The data was filtered by removing students whose cohort year is greater than the first term registered, students who deceased while studying, and students with a degree other than Baccalaureate degree. The data were analysed using descriptive statistics and structural equation modelling (SEM) approaches (like Path analysis and Con frmatory Factor Analysis (CFA)). Results revealed that (i) male students older than 25 to be a strong predictor of students' academic performance, (ii) females and the students younger than 21 significantly complete their studies on-time, (iii) students who are on a Permanent resident immigration status, have French as their native language or are from India, Pakistan or other countries perform better, (iv) students from Institute N (anonymised institute) significantly complete their studies on-time, (v) students' past grades from Institute L and J shows significant positive effect on their current grades at the university. Furthermore, students with fewer bridging courses or are from group 3 perform better at the university. These findings will help institutional planning for future students.

    URI

    http://knowledgecommons.lakeheadu.ca/handle/2453/4405

    Collections

    • Electronic Theses and Dissertations from 2009

    Lakehead University Library
    Contact Us | Send Feedback

     


    Lakehead University Library
    Contact Us | Send Feedback