Internal Consistency and Factorial Validity Quiz

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Questions and Answers

Which type of research is considered to be the least resource demanding?

  • Convergent and discriminant validity research
  • Internal consistency reliability research and Factorial validity research (correct)
  • Factorial validity research
  • Primary interest research

What should be evaluated first before undertaking convergent and discriminant validity research?

  • Data from multiple testing occasions
  • Primary interest research
  • Factorial validity issues
  • Internal consistency reliability and factorial validity issues (correct)

Which type of research is considered first-stage research?

  • Criterion-related validity and construct validity
  • Convergent validity and discriminant validity
  • Content validity and face validity
  • Internal consistency reliability and factorial validity (correct)

Why is using internal consistency reliability and factorial validity considered the least resource demanding research?

<p>They require data from one testing occasion and require data strictly from the test of primary interest (C)</p>
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Which term refers to the interconnections between a construct and other related constructs?

<p>Nomological network (C)</p>
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What is included in the conceptual foundation of a construct?

<p>The connections between the construct and other psychological constructs (C)</p>
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What is the correlation coefficient between SAT scores and first-year university grades according to empirical research?

<p>.55 (C)</p>
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What is the significance of having sufficiently large validity coefficients?

<p>They increase confidence in using the test for its intended purpose (B)</p>
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Which of the following best describes focussed associations?

<p>A correlation between particular test scores and a specified criterion (B)</p>
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Which term is more commonly used to refer to focused association in research?

<p>Predictive validity (D)</p>
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What is the general term used to describe the degree of relationship or association between a measure and a criterion or external variable?

<p>Validity coefficient (B)</p>
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What is the relationship between predictive validity and validity coefficient?

<p>Predictive validity is a more specific type of validity coefficient (A)</p>
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Which of the following is the main purpose of validity generalization studies?

<p>To evaluate the predictive utility of a test's scores across a range of settings (B)</p>
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What are the three questions that validity generalization studies can address?

<p>Estimate the average level of predictive validity across studies, estimate the degree of variability associated with the validity coefficients, identify sources of systematic variability in the validity coefficients (C)</p>
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What is the process of evaluating a test's validity coefficients across a large set of studies?

<p>Validity generalization (D)</p>
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Which of the following best describes meta-analysis?

<p>A research method that combines the results of many different studies (D)</p>
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What is the significance of having sufficiently large validity coefficients in a validity generalization study?

<p>It indicates that the measure is valid across a wide range of settings and groups of people (A)</p>
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Which method is used for evaluating convergent and discriminant validity based on a large number of coefficients across a wide range of criteria?

<p>Determining sets of correlations using a nomological network (B)</p>
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What is the next step after estimating the coefficients in a nomological network?

<p>Placing the coefficients into a table for visual inspection (C)</p>
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What can researchers evaluate using sets of correlations?

<p>Convergent and divergent validity (A)</p>
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According to the multitrait-multimethod matrix approach, what is the main problem with a correlation between two scores?

<p>It combines trait variance and method variance (B)</p>
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How many different methods must researchers use to administer their inventory when using the multitrait-multimethod matrix approach?

<p>Three (B)</p>
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What do researchers hope to see in terms of correlations between traits and measurement methods when using the multitrait-multimethod matrix approach?

<p>Large correlations between the same traits irrespective of method of measurement in comparison to correlations between scores based simply on the same method. (A)</p>
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Which of the following is true about large correlations between different traits but the same measurement method?

<p>They suggest method variance (A)</p>
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What is the desired outcome when measuring identical traits using different methods?

<p>A lot of shared trait variance measured using different methods (B)</p>
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Which of the following is a limitation associated with the multitrait-multimethod matrix approach?

<p>There are no clear guidelines to evaluate mean correlations (B)</p>
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What is the main reason why multitrait-multimethod matrix studies are rare?

<p>Lack of guidelines to evaluate mean correlations (A)</p>
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What is the minimum requirement for monotrait-heteromethod correlations and heterotrait-monomethod correlations in the multitrait-multimethod matrix approach?

<p>Monotrait-heteromethod correlations need to be numerically larger (D)</p>
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Which two researchers developed the logic of the multitrait-multimethod matrix?

<p>Campbell and Fiske (C)</p>
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Which of the following is a limitation of the quantifying construct validity procedure?

<p>There are no guidelines for the minimum correlation needed to indicate something (D)</p>
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What is the only requirement for the direction of the correlation in the quantifying construct validity procedure?

<p>Positive (C)</p>
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According to Westen and Rosenthal (2003), what is the first step in the 'quantifying construct validity' procedure?

<p>Researchers must predict the magnitude of the correlation between their measure of interest and their selected criteria (C)</p>
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What is the purpose of predicting the correlation between a measure of interest and selected criteria in the 'quantifying construct validity' procedure?

<p>To compare the predicted and estimated correlations (B)</p>
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What is the final step in the 'quantifying construct validity' procedure outlined by Westen and Rosenthal (2003)?

<p>Estimating the correlation between the predicted and estimated correlations (A)</p>
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Which of the following factors can bias validity coefficients downwardly?

<p>Measurement error causing low internal consistency reliabilities (D)</p>
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What can affect the correlation between two sets of scores?

<p>Low variability in one or both distributions of scores (D)</p>
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How do restricted responses cause the validity coefficient be smaller in magnitude

<p>Answer A and B (D)</p>
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Which type of sample is often used in practice, and how does it affect the standard deviation of the data?

<p>Convenience samples, which tend to be more homogeneous and yield smaller standard deviations (B)</p>
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What is the effect of using convenience samples on the observed correlation in comparison to the correlation in the population of interest?

<p>The observed correlation tends to be smaller due to the increase in homogeneity yielding smaller standard deviation scores (C)</p>
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What is the main advantage of using convenience samples?

<p>They tend to be more homogeneous than the population (D)</p>
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