Questions and Answers
What are the two types of correlation methods mentioned?
Pearson and Spearman
Which analysis is first carried out to determine the suitable correlation type?
The Kolmogorov-Smirnov test is used to assess if the data is normally distributed.
True
If the Kolmogorov-Smirnov test is significant (p < .05), the data is ______.
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Match the following concepts with their definitions:
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What is correlation in the context of psychological testing?
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What must be carried out first to determine the suitable type of correlation?
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Which of the following is NOT a use of correlation?
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The Kolmogorov-Smirnov test assesses whether data is ______.
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A significant Kolmogorov-Smirnov test (p < .05) indicates the data is normally distributed.
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What is the purpose of the 'Plots' option in the normality analysis?
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What is correlation?
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Normality analysis must be carried out only for Spearman correlation.
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Which correlation method is suitable for normally distributed data?
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What must be done before conducting a correlation analysis?
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The test that determines if data is normally distributed is called the ______ test.
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What does a Kolmogorov-Smirnov test result of p > .05 indicate?
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What should be chosen in descriptive statistics in order to check for normality?
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Study Notes
Overview of Psychological Testing
- Examines correlation and factor analysis within psychological tests.
- Focused on understanding relationships between variables and data structures.
Correlation
- Represents the association between two variables or items.
- Determines suitable correlation method through normality analysis:
- Pearson correlation for normally distributed data.
- Spearman correlation for non-normally distributed data.
- Applicable in assessing:
- Test-retest reliability.
- Parallel forms reliability.
- Criterion validity.
- Construct validity.
Analysis – Test of Normality
- Conduct normality analysis via:
- Navigate to Analyze > Descriptive Statistics > Explore.
- Place all variables in the "Dependent List."
- Select Plots, check "Normality plots with tests," then continue and confirm with "OK."
Output Interpretation
- Evaluate results from the Kolmogorov-Smirnov test:
- Not significant (p > .05): Indicates data is normally distributed; parameter tests are applicable.
- Significant (p < .05): Suggests data is not normally distributed; non-parametric methods should be used.
Overview of Psychological Testing
- Examines correlation and factor analysis within psychological tests.
- Focused on understanding relationships between variables and data structures.
Correlation
- Represents the association between two variables or items.
- Determines suitable correlation method through normality analysis:
- Pearson correlation for normally distributed data.
- Spearman correlation for non-normally distributed data.
- Applicable in assessing:
- Test-retest reliability.
- Parallel forms reliability.
- Criterion validity.
- Construct validity.
Analysis – Test of Normality
- Conduct normality analysis via:
- Navigate to Analyze > Descriptive Statistics > Explore.
- Place all variables in the "Dependent List."
- Select Plots, check "Normality plots with tests," then continue and confirm with "OK."
Output Interpretation
- Evaluate results from the Kolmogorov-Smirnov test:
- Not significant (p > .05): Indicates data is normally distributed; parameter tests are applicable.
- Significant (p < .05): Suggests data is not normally distributed; non-parametric methods should be used.
Overview of Psychological Testing
- Examines correlation and factor analysis within psychological tests.
- Focused on understanding relationships between variables and data structures.
Correlation
- Represents the association between two variables or items.
- Determines suitable correlation method through normality analysis:
- Pearson correlation for normally distributed data.
- Spearman correlation for non-normally distributed data.
- Applicable in assessing:
- Test-retest reliability.
- Parallel forms reliability.
- Criterion validity.
- Construct validity.
Analysis – Test of Normality
- Conduct normality analysis via:
- Navigate to Analyze > Descriptive Statistics > Explore.
- Place all variables in the "Dependent List."
- Select Plots, check "Normality plots with tests," then continue and confirm with "OK."
Output Interpretation
- Evaluate results from the Kolmogorov-Smirnov test:
- Not significant (p > .05): Indicates data is normally distributed; parameter tests are applicable.
- Significant (p < .05): Suggests data is not normally distributed; non-parametric methods should be used.
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Description
Explore the essential concepts of correlation and factor analysis in psychological testing. This quiz covers the application of Pearson and Spearman correlation methods based on normality analysis, as well as their implications for reliability and validity in psychological assessments.
