Exam 18: Exploratory Factor Analysis
Exam 1: Introduction and Overview14 Questions
Exam 2: Statistics Review for PSYC Measurement14 Questions
Exam 3: Sychological Scaling14 Questions
Exam 4: Test Preparation and Specification15 Questions
Exam 5: Reliability Overview: Classical Test Theory15 Questions
Exam 6: Estimating Reliability14 Questions
Exam 7: Content Validation15 Questions
Exam 8: Criterion-Related Validation15 Questions
Exam 9: Construct Validation15 Questions
Exam 10: VG Psychometric Meta-Analysis Copy15 Questions
Exam 11: Tests Bias Unfairness and Equivalence15 Questions
Exam 12: Developing Tests of Maximal Performance15 Questions
Exam 13: Classical Test Theory Item Analysis15 Questions
Exam 14: Scoring Tests15 Questions
Exam 15: Developing Measures of Typical Performance15 Questions
Exam 16: Response Biases15 Questions
Exam 17: Multiple Regression15 Questions
Exam 18: Exploratory Factor Analysis15 Questions
Exam 19: Confirmatory Factor Analysis15 Questions
Exam 20: Item Response Theory15 Questions
Exam 21: Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning15 Questions
Exam 22: Generalizability Theory14 Questions
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A top way of determining the number of factors to retain is generating a random set of cases that have a similar number of items to your target data set. You then compare the magnitude of eigen values in your random data set to the magnitude of eigen values in your real data set to see at what point the random data has larger values than the real data set. This technique is called _____.
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B
Which is the ratio of cases to items that is recommended as a minimum sample size within Shultz, Whitney, and Zickar (2021)?
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C
What are strategies that can be used in exploratory factor analysis to help improve interpretability?
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First off, theory and common sense should guide results. You should have a large enough sample size relative to number of items to provide stable results. You should use parallel analysis (along with common sense) to choose the number of factors to interpret. And you should use a rotation to improve interpretability. Items that do not load on factors or cross-load significantly on factors should be thrown out.
Explain the main steps and decisions that need to be made when conducting an EFA.
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What is the graphical technique that can be used to identify the number of factors to retain from an exploratory factor analysis?
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The regression between the item score and the underlying factors is called a(n) ______.
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When should exploratory factor analysis be used compared to confirmatory factor analysis?
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If you want to discover what the underlying structure is in your test, Shultz, Whitney, and Zickar (2021) recommend using the following technique?
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Shultz, Whitney, and Zickar (2021) recommend an oblique rotation over an orthogonal rotation. Explain the differences between the two and explain their rationale.
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In exploratory factor analysis, what is the term that refers to the variance in an item that is not shared with any other items?
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Oblique rotations have ______ factors, whereas orthogonal rotations result in ___ factors.
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Which of the following practices do Shultz, Whitney, and Zickar (2021) recommend with respect to exploratory factor analysis?
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What is the mathematical procedure that is used in exploratory factory analysis that is designed to choose an interpretable factor pattern matrix?
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Which of the following techniques uses linear combinations of observed items to determine a test's structure?
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