examining the constructs underlying student satisfaction giovanni sosa chaffey college rp/cisoa 2009
DESCRIPTION
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?TRANSCRIPT
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Examining the Constructs Underlying
Student SatisfactionGiovanni Sosa
Chaffey CollegeRP/CISOA 2009
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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)
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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?
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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)
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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
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Factor Analysis: Step-by-Step
Assumptions: Sample size Kaiser-Meyer-Olkin (KMO) Bartlett’s Test of Spherecity
Communalities Initial vs. extracted
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Factor Analysis: Step-by-Step Determining the Number of Factors
Observed Eigenvalues (Kaiser Criterion) Scree plot Overdetermined Factors Parallel Analysis Interpretability of Factors
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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
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Results
Table 1 Loadings by Pattern (P) and Structure (S) matrices, obtained eigenvalues, and percent variance for 3-factor solution with oblimin rotation (N = 407)
Factor 1 Factor 2 Factor 3 Staff
Helpfulness/Competence
Poor Service
Usefulness of Online Services
Item
P S P S P S Program staff provide accurate information .71 .75 Program staff are helpful .75 .81 Program staff are able to answer most of my questions .65 .73 Program staff are professional .79 .75 Program staff demonstrate respect to students .87 .84 Program staff respond to all students equally and fairly .85 .83 Program staff are empathetic to students and their needs .66 .66 Program staff take the time to listen to students .81 .85 Program staff are polite and courteous to students .85 .87 Program staff care about students .72 .78 Program staff are knowledgeable about other support services .69 .74
Program staff are able to refer students to other appropriate support services .71 .77
This service/program is poorly staffed .55 .59 It is difficult to get an appointment .57 .61 The range of services provided fail to meet my needs .53 .55 The information provided is not useful .69 .65 Online services are difficult to access .52 .57 Online materials are poorly organized .64 .72 Program staff lack knowledge about their programs .51 .56 Online services are easy to use .62 .72 Online services are helpful .66 .73 Online materials address most of my questions .62 .65 Online materials provide accurate information .75 .77 Online materials provide useful information .77 .81 % Variance 35.74 6.59 4.72 Extracted Eigenvalues 12.15 2.24 1.61
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Results
Table 2 Factor Correlation Matrix (N = 407) Factor 1 2 3 1 1.0 -.45 .47 2 -.45 1.0 -.38 3 .47 -.38 1.0
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Implications
Findings highlight what matters most to students
Factor Scores Findings point to possible AUOs