Factorial Validity Quiz
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Questions and Answers

Which of the following best describes factorial validity?

  • It measures the external validity of a test
  • It measures the consistency of test scores
  • It determines the reliability of a test
  • It determines if test scores match the theoretical structure of the test (correct)

    • What does a test's internal structure refer to?

  • The way the test scores are interpreted
  • The way the test is administered
  • The way the parts of a test are related to each other (correct)
  • The way the test is designed

    • How does factorial validity help specify what a test measures?

  • By measuring the external validity of the test
  • By determining the reliability of the test
  • By determining the number and definition of dimensions underlying the construct of interest (correct)
  • By measuring the consistency of test scores

    • Factorial analysis is a data analytic technique that helps us...

    <p>Clarify the number of factors within a set of items</p> Signup and view all the answers

    What is the purpose of determining the definitions of the dimensions in factorial validity?

    <p>To determine which items load onto which dimension</p> Signup and view all the answers

    How does factorial validity help with the interpretation of factors?

    <p>All of the above</p> Signup and view all the answers

    Which of the following is considered a compromised score?

    <p>A composite score that contains items measuring more than one dimension</p> Signup and view all the answers

    What do we want composite scores to be relatively?

    <p>Factor pure</p> Signup and view all the answers

    Which of the following is an example of a unidimensional test?

    <p>A multiple choice final exam where students receive one score concerning their knowledge of content covered over the semester</p> Signup and view all the answers

    What is the key characteristic of a unidimensional test?

    <p>Items that reflect only a single attribute that are unaffected by other attributes</p> Signup and view all the answers

    Which of the following best describes a unidimensional test?

    <p>Each item is linked to only one attribute and all items contribute variance to that attribute</p> Signup and view all the answers

    Which of the following best describes correlated multidimensional tests?

    <p>Tests that measure two or more dimensions that are correlated with each other</p> Signup and view all the answers

    What is the relationship between items and dimensions in correlated multidimensional tests?

    <p>Each item is linked to only one dimension and the dimensions are correlated with each other</p> Signup and view all the answers

    Which of the following best describes uncorrelated multidimensional tests?

    <p>Consists of items which measure two or more dimensions which are unrelated to each other</p> Signup and view all the answers

    What is the key characteristic of uncorrelated multidimensional tests?

    <p>Each item is linked to one attribute only and there is no link between the two dimensions</p> Signup and view all the answers

    How are scores calculated in uncorrelated multidimensional tests?

    <p>A separate score is calculated for each dimension</p> Signup and view all the answers

    What is the key characteristic of higher-order models?

    <p>Dimensions are correlated with an overall global factor</p> Signup and view all the answers

    Which of the following is a theoretical difference between factor analysis and component analysis?

    <p>In factor analysis, extracted factors are considered to be correlated with each other, while the components are not in component analysis</p> Signup and view all the answers

    Which of the following statements is true about the loadings in factor analysis and component analysis?

    <p>Component loadings are typically larger than factor loadings</p> Signup and view all the answers

    Which of the following is considered a more sophisticated approach to data reduction?

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

    Which of the following is a key empirical difference between factor analysis and component analysis?

    <p>Factor analysis includes error terms for each item, while component analysis does not.</p> Signup and view all the answers

    What is the defining characteristic of factors in factor analysis?

    <p>They are defined by the same indicators.</p> Signup and view all the answers

    Which of the following statements is true about the correlation between factors and components?

    <p>The correlation between factors is typically larger than the correlation between components.</p> Signup and view all the answers

    Which type of test score is based on the items of a single dimension?

    <p>Subtest score</p> Signup and view all the answers

    Which type of test score combines several common subtests, but not all of them?

    <p>Area score</p> Signup and view all the answers

    What does the dimensionality of a test impact?

    <p>The use of test scores</p> Signup and view all the answers

    Which of the following best describes a total score?

    <p>The sum of all subtest scores within an inventory</p> Signup and view all the answers

    Which of the following tests is an example of a test with uncorrelated dimensions?

    <p>NEO-PI R</p> Signup and view all the answers

    How is the psychological meaning of each test dimension determined in factorial analysis?

    <p>By evaluating which items load onto each respective dimension through inter-item correlations</p> Signup and view all the answers

    What is the purpose of conducting a PCA twice?

    <p>To determine the number of components to extract and then extract them</p> Signup and view all the answers

    Which of the following best describes a scree plot?

    <p>A plot of eigenvalues in a scatter plot ordered from smallest to largest</p> Signup and view all the answers

    What does an eigenvalue represent in a scree plot?

    <p>The percentage of variance accounted for by a dimension</p> Signup and view all the answers

    What is the purpose of examining a scree plot?

    <p>To determine the number of worthwhile components in the data</p> Signup and view all the answers

    What is the purpose of communality in factor analysis?

    <p>To represent the percentage of variance associated with a variable that was included in the analysis</p> Signup and view all the answers

    What is the expected communality for items in factor analysis?

    <p>.04 or greater</p> Signup and view all the answers

    What does uniqueness represent in factor analysis?

    <p>The percentage of variance associated with a variable that was not included in the analysis</p> Signup and view all the answers

    Which of the following is the expected minimum communality for subscales in factor analysis?

    <p>.09</p> Signup and view all the answers

    Which of the following statements is true about the reliability of items and subscales in factor analysis?

    <p>Subscales are more reliable than items.</p> Signup and view all the answers

    Which of the following are considered useful component loadings for items in factor analysis?

    <p>.20 or greater</p> Signup and view all the answers

    What is communality in factor analysis?

    <p>The sum of the squared component loadings</p> Signup and view all the answers

    Which of the following is considered a useful component loading for subscales in factor analysis?

    <p>.30</p> Signup and view all the answers

    What is simple structure in factor analysis?

    <p>The degree to which an item is associated with only one substantial loading on a single dimension and negligible loadings on the remaining dimensions.</p> Signup and view all the answers

    When can you achieve simple structure in factor analysis?

    <p>When you extract two or more components</p> Signup and view all the answers

    What is the key to achieving simple structure in factor analysis?

    <p>Rotating the solution</p> Signup and view all the answers

    What are the two main factors that affect the sample size required for principal component analysis?

    <p>The amount of communality associated with the variables and the number of variables per factor</p> Signup and view all the answers

    What is the minimum number of variables per factor required for a sample size of about 150 with component loadings of .20 to be sufficient in principal component analysis?

    <p>5</p> Signup and view all the answers

    What is the relationship between the number of variables per factor and the sample size required for principal component analysis?

    <p>The higher the number of variables per factor, the less sample size required</p> Signup and view all the answers

    What is the relationship between communality and required sample size for principal component analysis?

    <p>Higher communality means less sample size is required</p> Signup and view all the answers

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