| Tag | Value |
|---|---|
| file | Factor-analysis_eur-factor-110-en_eur-factor-110-en |
| name | eur-factor-110-en |
| section | Factor analysis/Structure matrix |
| type | num |
| solution | 0.352 |
| tolerance | 0 |
| Type | Performing analysis |
| Program | SPSS |
| Language | English |
| Level | Statistical Literacy |
A scientist is investigating factors that may explain why career opportunities for psychologists and educators are sometimes low. From theoretical insights about career opportunities, the researcher has the idea that several dimensions can be distinguished that have something to do with career opportunities. She has devised 34 statements on which respondents can indicate whether they agree with a statement on a 4-point scale (1. completely agree; 2. somewhat agree; 3. not so much agree; 4. not at all agree). An example of a statement is, “I completed a relevant internship during my education.” The questionnaire was administered to 312 graduates. Participants’ responses to the 34 statements are shown in the data file.
Open the data file.
Perform a factor analysis with principal axis factoring, extracting 2 factors and performing a varimax rotation. For this analysis, how high is the correlation between item 7 and factor 1? (3 decimal places)
The correlation between item 7 and the (rotated) factor 1 is 0.352. NOTE. A factor loading is the correlation between the item and the factor. Given the assignment, we assume the rotated solution.