K-means Clustering and Psychometric Data Analysis Quiz
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Questions and Answers

What is the goal of k-means cluster analysis?

  • Maximize both within-cluster and between-cluster similarities
  • Minimize both within-cluster and between-cluster similarities
  • Maximize between-cluster similarities and minimize within-cluster similarities
  • Maximize within-cluster similarities and minimize between-cluster similarities (correct)
  • What type of machine learning technique is k-means clustering?

  • Supervised
  • Semi-supervised
  • Unsupervised (correct)
  • Reinforcement
  • In k-means clustering, what are the cases (rows) referred to as?

  • Clusters
  • Measurements
  • Variables
  • Participants (correct)
  • What problem does k-means clustering aim to solve?

    <p>Identifying subgroups of participants based on available information</p> Signup and view all the answers

    What kind of problem is k-means clustering considered to be?

    <p>Multivariate classification problem</p> Signup and view all the answers

    What type of studies often include psychometric measurements such as anxiety, depression, linguistic background, and attitudes?

    <p>Survey type studies</p> Signup and view all the answers

    Which method is considered insufficient or not applicable for evaluating and improving psychometric scales?

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

    What does PCA (principal component analysis) help in identifying?

    <p>Sub-scales (item/variable groups)</p> Signup and view all the answers

    What does reliability analysis assess in a scale?

    <p>Internal consistency</p> Signup and view all the answers

    What is the primary focus of the course mentioned in the text?

    <p>Improving psychometric scales</p> Signup and view all the answers

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