Factor Analysis

It is a correlation coefficient, which tells us the extent to which a question is measuring that factor.

• Factor Analysis

• Factor Loading

• Factor Variance

• Factor Rotation

Factor analysis is used to identify latent variables and constructs.

• True

• False

This process is performed after extraction to obtain a more interpretable factor solution.

• Factor Normalization

• Factor Rotation

• Factor Optimization

• Factor Interpretation

It tests whether the correlations between questions are sufficiently large for factor analysis to be appropriate.

• Extraction

• Principal Components Analysis

• Kaiser-Meyer-Olkin (KMO)

• Bartlett's Test for Sphrecity

What is the minimum desirable sample size according to Catell (1978)?

• 100

• 250

• 500

• 750

It refers to the unobservable variable that influences more than one observed measure and that accounts for the correlations among these observed measures.

• Variance

• Loading

• Factor

• Variable

Which of the following is NOT an assumption of factor analysis?

• No outliers in data

• Data should be quantitative at the interval or ratio level

• No perfect multicollinearity

• Variable may or may not be linear in nature

It measures sampling adequacy.

• Kaiser-Meyer-Olkin

• Determinant

• Bartlett's Test of Spherecity

• Component Analysis