| Tag | Value |
|---|---|
| file | Factor-analysis_eur-factor-410-en_eur-factor-410-en |
| name | eur-factor-410-en |
| section | Factor analysis/Factor correlation matrix, Factor analysis/Exploratory factor analysis, Factor analysis/Rotations |
| type | num |
| solution | 0.009 |
| tolerance | 0 |
| Type | Interpreting output, Performing analysis |
| Program | SPSS |
| Language | English |
| Level | Statistical Literacy |
A researcher working at the psychology institute investigates alcohol abuse among adolescents. The researcher designed 34 statements the adolescents can agree or disagree with on a four-point scale (1 = completely agree; 2 = somewhat agree; 3 = somewhat disagree; 4 = completely disagree). An example of a statement is: When I feel lonely, I enjoy drinking an alcoholic beverage. The answers of 312 girls (0) and boys (1) to the 34 statements are in the dataset.
Conduct a factor analysis with principal axis factoring with 2 factors and a non-orthogonal promax rotation. What is the correlation between factor 1 and factor 2? (3 decimals)
Open the dataset below to answer this question:
The correlation between factor 1 and factor 2 after promax rotation is 0.009 (see factor correlation matrix).