This app allows you to practice various aspects covered in this module.

Please make sure that you have
**fully completed**
the following tasks before continuing with this app:

1. Read the module's learning plan

2. Watch the topic videos and review the lecture notes

3. Work through the SPSS How to guide

The module has the following objectives:

1. Explain the logic behind factor analysis

2. Decide on how many factors underlay the original variables

3. Use rotation to facilitate factor interpretation

4. Asses the goodness of fit of a factor solution

5. Perform a factor analysis with SPSS

Please proceed with the practice items by clicking on the links in the top bar of this app. It is not necessary to complete these items in order. We encourage you to work together with a classmate!

There are three types of practice items: theory ('TH'), SPSS ('SP') and multiple choice ('MC').

These practice items will help you come prepared to the lab and help you perform better on the quizzes.

Thus, you should complete these practice items
*MBA program*

Peter Ebbes

Topic

Interpreting factor analysis output

Lecture

topic 3, Deciding on the number of factors

topic 4, Interpreting a factor solution

topic 5, Evaluating a factor solution

Purpose

Practice interpreting factor analysis output. Let's do it!

Question 1

Before you get started with any fancy-pancy data analytic approach, it is always a good idea to imagine how the data table would need to look like. Write down on scratch paper, how the data table could look like for this context.

Question 2

Question 3

Question 4

Topic

How many factors?

Lecture

topic 3, Deciding on the number of factors

topic 4, Interpreting a factor solution

topic 5, Evaluating a factor solution

This activity is only useful if you have reviewed the corresponding SPSS How to guide.

Purpose

Practice identifying how many factors underlay the data and inspect the factor solution for an interpretation. Let's do it!

Scenario

Question 1

Question 2

Topic

Five multiple choice practice questions

Lecture

Module 10, all topics

Purpose

Test your knowledge about the subjects of this module. Let's do it!

1. A researcher fits a regression with a large set of independent variables. But he is quite nervous as almost none of the independent variables is significant. That is disturbing because his manager paid a lot of money to collect the data through a survey. He is afraid she will be quite unhappy with these findings. You to the rescue! Which technique would you recommend him to use?

2. Suppose the (rotated) factor loading of a certain variable (say) V10 on a factor is -0.9. Which expression is true?

3. Which of the following expressions about factor analysis is not true?

4. Communalities in factor analysis capture ...

5. Consider the fancy word 'Eigenvalue'. What does it mean in the context of factor analysis?