Tag | Value |
---|---|
file | Factor-analysis_eur-factor-408-en_eur-factor-408-en |
name | eur-factor-408-en |
section | Factor analysis/Exploratory factor analysis, Factor analysis/Rotations, Factor analysis/Factor loadings |
type | num |
solution | 0.062 |
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 an orthogonal varimax rotation, what is the correlation between factor 2 and item 3 on the rotated factor matrix? (3 decimals)
Open the dataset below to answer this question:
The correlation between factor 2 and item 3 after varimax rotation is 0.062 (see the rotated factor matrix for the factor loading of item 3 on factor 2).