Chapter 12 Week 2 - Formative test

A formative test helps you assess your progress in the course, and helps you address any blind spots in your understanding of the material. If you get a question wrong, you will receive a hint on how to improve your understanding of the material.

Complete the formative test ideally after you’ve seen the lecture, but before the lecture meeting in which we can discuss any topics that need more attention.

Question 1: With PCA, you must indicate the number of factors to extract a-priori.

FALSE

TRUE

Question 2: When conducting an exploratory factor analysis, cross-loadings are assumed to be zero.

TRUE

FALSE

Question 3: Order these methods for determining the number of factors from least subjective to most subjective: 1) Kaiser’s criterion, 2) Scree plot, 3) Parallel analysis.

3, 2, 1

1, 2, 3

3, 1, 2

2, 1, 3

Question 4:

What kind of model is displayed above?

Exploratory Factor Analysis

Confirmatory Factor Analysis

An Item Response Theory Analysis

Principal Components Analysis

Question 5: EFA models the covariances among items; PCA describes the total variance of items.

FALSE

TRUE

Question 6: Factor analysis is a statistical technique aimed at data reduction.

TRUE

FALSE

Question 7: What is the maximum number of latent variables when conducting Exploratory Factor Analysis with 5 items?

No limit; you can keep adding latent variables, but they will explain ever decreasing amounts of variance.

Two; you need 3 indicators for one latent variable, but the model is still identified due to the covariance between latent variables.

Five; the same as the number of indicators.

Only one; you need at least 3 indicators per latent variable.

Question 8: Promax rotation in factor analysis is a specific form of orthogonal rotation.

TRUE

FALSE

Question 9: Which of these is not a valid method for choosing the correct number of factors?

Kaiser’s criterion

Ability to predict a criterion scale.

Scree plot

Parallel analysis

Theory

Question 10: Varimax is a form of orthogonal rotation in factor analysis

TRUE

FALSE