1 / 11

Examining the Constructs Underlying Student Satisfaction

Examining the Constructs Underlying Student Satisfaction. Giovanni Sosa Chaffey College RP/CISOA 2009. Importance of Student Satisfaction. Students seek convenience, quality service, and value for their tuition dollars (Kress, 2006) Student Satisfaction is associated with:

dextra
Télécharger la présentation

Examining the Constructs Underlying Student Satisfaction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Examining the Constructs Underlying Student Satisfaction Giovanni Sosa Chaffey College RP/CISOA 2009

  2. Importance of Student Satisfaction • Students seek convenience, quality service, and value for their tuition dollars (Kress, 2006) • Student Satisfaction is associated with: • Student motivation (Goho, 2008) • Student retention (Goho, 2008) • Increased alumni giving (Bryant, 2006)

  3. Need for Focus in Examining Satisfaction • Surveys inquire about an assortment of program facets • Wait times • Websites • Quality of information offered • But to what extent do such analyses reveal what students care about most?

  4. The Current Study • Survey distributed via two points of dissemination: • Course level • Program level • Stratified random sampling was conducted to identify sections • Each identified section was randomly assigned to one of the twelve student services programs • 1,301 Completed forms, but 407 included in current analysis (listwise deletion)

  5. Facilitating Informed Decision-Making • Factor Analysis • Uncover the underlying dimensions of a set of items • Reduce the number of items • Two Types: • Exploratory (PCA vs. PAF) • Confirmatory

  6. Factor Analysis: Step-by-Step • Assumptions: • Sample size • Kaiser-Meyer-Olkin (KMO) • Bartlett’s Test of Spherecity • Communalities • Initial vs. extracted

  7. Factor Analysis: Step-by-Step • Determining the Number of Factors • Observed Eigenvalues (Kaiser Criterion) • Scree plot • Overdetermined Factors • Parallel Analysis • Interpretability of Factors

  8. Factor Analysis: Step-by-Step • Rotation (Varimax & Oblique) • Infinite Number of Rotations Possible (seek simple structure) • Factor loadings • Pattern (Partial Correlations) and Structure Matrices (Zero-Order Correlations) • Factor Correlation Matrix • High Correlations Point to Higher Order Factors

  9. Results

  10. Results

  11. Implications • Findings highlight what matters most to students • Factor Scores • Findings point to possible AUOs

More Related