Exam 19: Factor Analysis
Exam 1: The Basics of Research Design10 Questions
Exam 2: Questionnaire Design10 Questions
Exam 3: Analysing Data for Psychological Research9 Questions
Exam 4: Introducing Spss15 Questions
Exam 5: Experimental Design10 Questions
Exam 6: T Tests15 Questions
Exam 7: One-Way Independent Measures Anova15 Questions
Exam 8: One-Way Repeated Measures Anova15 Questions
Exam 9: Ancova15 Questions
Exam 10: Two-Way Factorial Independent Anova15 Questions
Exam 11: Two-Way Factorial Repeated Anova15 Questions
Exam 12: Two-Way Factorial Mixed Design Anova15 Questions
Exam 13: Presenting Experimental Studies9 Questions
Exam 14: Correlational Design10 Questions
Exam 15: Correlations15 Questions
Exam 16: Multiple Regression15 Questions
Exam 17: Hierarchical Regression15 Questions
Exam 18: Logistic Regression15 Questions
Exam 19: Factor Analysis15 Questions
Exam 20: Presenting Correlational Studies10 Questions
Exam 21: Qualitative Design10 Questions
Exam 22: Designing Interviews and Focus Groups10 Questions
Exam 23: Content Analysis and Thematic Analysis10 Questions
Exam 24: Grounded Theory10 Questions
Exam 25: Interpretative Phenomenological Analysis10 Questions
Exam 26: Discourse Analysis10 Questions
Exam 27: Presenting Qualitative Studies10 Questions
Exam 28: How Do I Decide What to Do With My Data10 Questions
Exam 29: Mixed Methods10 Questions
Exam 30: Broadening Your Research Horizons14 Questions
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What should be an appropriate value for the determinant?
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D
Which of the following items could have a factor loading of -.689 which is labelled 'empathy'?
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A
What was the total amount of variance explained by the two factors together, after rotation?
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Looking at the communalities, which variable shares the most variance with the entire dataset?
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When running a factor analysis, what type of rotation method should be selected?
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What statistic can be used to determine how many factors are present in our analysis?
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Looking at the factor loadings, which item loads onto both factors?
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For the worksheet analysis, what is the determinant value, and has the assumption been met or not?
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If we have a Cronbach's alpha score of .801, then how should this be interpreted?
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If we wanted to know if the reliability would improve if an item was removed from the measure then…
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