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Examining the Constructs Underlying Student Satisfaction

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Students seek convenience, quality service, and value for their tuition ... Scree plot. Overdetermined Factors. Parallel Analysis. Interpretability of Factors ... – PowerPoint PPT presentation

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Title: Examining the Constructs Underlying Student Satisfaction


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)
  • Bartletts 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
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