Skip to main content
. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Contemp Educ Psychol. 2018 Mar 2;53:181–195. doi: 10.1016/j.cedpsych.2018.03.001

Table 4.

Correlation Matrix for Latent Variables

1 2 3 4 5 6 7 8 9
1. Interest Value
2. Attain Value .77
3. Utility Value .74 .80
4. Self-efficacy .40 .43 .41
5. Task Value .85 .91 .88 .47
6. Career Intentions .37 .39 .38 .20 .43
7. Science Courses .23 .25 .24 .15 .27 .23
8. Science GPA .11 .12 .11 −.02 .13 .09 .27
9. Research Exper. .11 .12 .11 .10 .13 .07 .11 .14
10. Summer Program .14 .14 .14 .13 .16 .11 .12 −.01 .00

Note. All correlations > |.09| are significant at p < .01. Since the summer enrichment program is a dichotomous variable, point biserial correlations between the summer program and the other variables are reported. GPA = grade point average; Career Intentions = 3rd year science-research career intentions; Science GPA = 3rd year science GPA; Courses Completed = 3rd year Science Courses Completed; Task Value is a second-order latent variable predicting first order latent variables for attainment value, utility value, and interest value; Research Exper. = Research experiences in the first year.