Week 8
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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?

  • Descriptive Statistics
  • Reliability Analysis
  • Test of Normality (correct)
  • Factor Analysis

    • 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 ______.

    <p>not normally distributed</p> Signup and view all the answers

    Match the following concepts with their definitions:

    <p>Test-retest Reliability = Consistency of a test over time Parallel Forms Reliability = Consistency between different versions of a test Criterion Validity = How well one measure predicts an outcome based on another measure Construct Validity = Does a test measure the concept it's intended to measure</p> Signup and view all the answers

    What is correlation in the context of psychological testing?

    <p>Association between two variables or items.</p> Signup and view all the answers

    What must be carried out first to determine the suitable type of correlation?

    <p>Normality analysis</p> Signup and view all the answers

    Which of the following is NOT a use of correlation?

    <p>Calculating mean</p> Signup and view all the answers

    The Kolmogorov-Smirnov test assesses whether data is ______.

    <p>normally distributed</p> Signup and view all the answers

    A significant Kolmogorov-Smirnov test (p < .05) indicates the data is normally distributed.

    <p>False</p> Signup and view all the answers

    What is the purpose of the 'Plots' option in the normality analysis?

    <p>'Normality plots with tests' for visual representation and testing of normality.</p> Signup and view all the answers

    What is correlation?

    <p>Association between two variables or items</p> Signup and view all the answers

    Normality analysis must be carried out only for Spearman correlation.

    <p>False</p> Signup and view all the answers

    Which correlation method is suitable for normally distributed data?

    <p>Pearson</p> Signup and view all the answers

    What must be done before conducting a correlation analysis?

    <p>Test of Normality</p> Signup and view all the answers

    The test that determines if data is normally distributed is called the ______ test.

    <p>Kolmogorov-Smirnov</p> Signup and view all the answers

    What does a Kolmogorov-Smirnov test result of p > .05 indicate?

    <p>Data is normally distributed</p> Signup and view all the answers

    What should be chosen in descriptive statistics in order to check for normality?

    <p>Normality plots with tests</p> Signup and view all the answers

    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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    Week 8 lecture slides.pptx
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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.

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