10 Questions
What is the goal of k-means cluster analysis?
Maximize within-cluster similarities and minimize between-cluster similarities
What type of machine learning technique is k-means clustering?
Unsupervised
In k-means clustering, what are the cases (rows) referred to as?
Participants
What problem does k-means clustering aim to solve?
Identifying subgroups of participants based on available information
What kind of problem is k-means clustering considered to be?
Multivariate classification problem
What type of studies often include psychometric measurements such as anxiety, depression, linguistic background, and attitudes?
Survey type studies
Which method is considered insufficient or not applicable for evaluating and improving psychometric scales?
Factor analysis
What does PCA (principal component analysis) help in identifying?
Sub-scales (item/variable groups)
What does reliability analysis assess in a scale?
Internal consistency
What is the primary focus of the course mentioned in the text?
Improving psychometric scales
Test your knowledge of K-means clustering and psychometric data analysis with this quiz. Explore how to identify subgroups of participants and analyze the information collected from them.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
