HW # 5 Exploratory Factory Analysis (EFA)
In this HW, please carry out EFA analysis using Principal Component Analysis (PCA) extraction
method on responses from students responding to items from a survey of instructor/course
effectiveness. Specifically, we will focus on items 13-24 from the measures in the attached
dataset:
Item13: Instructor Well Prepared
Item14: Instructor Scholarly Grasp
Item15: Instructor Confidence
Item16: Instructor Focus Lectures
Item17: Instructor Uses Clear Relevant Examples
Item18: Instructor Sensitive to Students
Item19: Instructor Allows Me to Ask Questions
Item20: Instructor Is Accessible to Students Outside Class
Item21: Instructor Aware of Students Understanding
Item22: I Am Satisfied with Student Performance Evaluation
Item23: Compared to Other Instructors, This Instructor Is
Item24: Compared to Other Courses This Course Was
Questions:
1. Is it appropriate to conduct PCA on the correlation matrix? Answer from the aspects of
a. Bartlettàtest, and
b. KMO Measure of Sampling Adequacy (MSA)
2. How many components should be retained (to summarize the variation in the
variables)?
Answer from the aspects of
a. Percentage of variation accounted for
b. Scree plot
c. Interpretability of the components
3. Are all variables acceptable components for your factors?
4. Check the component matrix. Of those retained components, what should we name
them? Please give meaningful (logically sound) name.
5. Conduct Reliability, Validity and Unidimensionality. Discussion your findings.

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