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Chapter 13: Problem 2

Discuss three important errors to watch out for when reading a factor-analytic study.

Short Answer

Expert verified
The three most significant errors to watch for in a factor-analytic study are: choosing inappropriate factors, not ensuring an adequate sample size, and not validating the necessary assumptions.

Step by step solution

01

- Understanding Inappropriate Factors

Choosing inappropriate factors is a common error in factor-analytic studies. Selection of factors should be based on theoretical and empirical considerations. Inappropriate or irrelevant factors not only compromise the integrity of the study but can also lead to misconstrued results.
02

- Checking Sample Size Adequacy

Factor Analysis requires a relatively large sample size. If the sample size is not adequate, it could lead to unstable factor solutions and misinterpretation of results. As a rule of thumb, the ratio of cases (observed variables) to variables should be at least 5:1. Therefore, always ensure the sample size is sufficient for the Factor Analysis.
03

- Validating Assumptions

Factor Analysis is based on certain assumptions which, if not satisfied, may lead to erroneous results. These assumptions include a linear relationship among variables, absence of multicollinearity and outlier, and sufficient correlation among variables. It is vital to check these assumptions before carrying out the Factor Analysis.

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