Table 1.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. W1 Salience Mean | .76*** | −.45*** | −.19 ** | .14*** | .08 | .10** | .10* | .19** | .12* | .14** | .19** | .19*** | .17*** | .13* | .22*** | |
2. W3 Salience Mean | −.34*** | −.37*** | .10 | .08 | .08 | .09* | .15** | .18** | .21*** | .24*** | .14** | .20*** | .20*** | .25*** | ||
3. W1 Salience Variability | .30*** | −.06* | −.02 | −.08** | −.07* | −.09 | −.04 | −.13*** | −.20** | −.11** | −.08 | −.06 | −.14*** | |||
4. W3 Salience Variability | −.05 | .01 | −.08 | .02 | −.11 | −.05** | −.15 | −.13 ** | .01 | −.04 | −.04 | −.14 | ||||
5. W1 Exploration | .57*** | .48*** | 49*** | .55*** | .36*** | .33*** | .39*** | .41*** | .38*** | .31*** | .35*** | |||||
6. W2 Exploration | .58*** | .64*** | .41*** | .60*** | .38*** | .49*** | .46*** | .55*** | .41*** | .46*** | ||||||
7. W3 Exploration | .63*** | .30*** | .38*** | .56*** | .42*** | .37*** | .41*** | .49*** | .45*** | |||||||
8. W4 Exploration | .42 | .42*** | .40*** | .63*** | .44*** | .41*** | .42*** | .50*** | ||||||||
9. W1 Commitment | .46*** | .39*** | .44*** | .53*** | .38*** | .35*** | .32*** | |||||||||
10. W2 Commitment | .53 | .55*** | .40*** | .50*** | .38*** | .40*** | ||||||||||
11. W3 Commitment | .51*** | .29*** | .41*** | .51*** | .41*** | |||||||||||
12. W4 Commitment | .45*** | .45*** | .44*** | .56*** | ||||||||||||
13. W1 Centrality | .56*** | .52*** | .55*** | |||||||||||||
14. W2 Centrality | .66*** | .62*** | ||||||||||||||
15. W3 Centrality | .67*** | |||||||||||||||
16. W4 Centrality | ||||||||||||||||
N | 390 | 308 | 382 | 302 | 403 | 366 | 315 | 301 | 403 | 366 | 315 | 301 | 403 | 366 | 315 | 301 |
Mean | 4.34 | 4.22 | .94 | .93 | 2.61 | 2.68 | 2.65 | 2.70 | 2.97 | 2.95 | 2.93 | 2.96 | 4.24 | 4.30 | 4.31 | 4.30 |
SD | 1.62 | 1.63 | .61 | .58 | .54 | .51 | .49 | .49 | .44 | .42 | .40 | .40 | .93 | .81 | .80 | .82 |
Note: Estimates were obtained from Mplus that used based full information maximum likelihood (FIML) to handle missing data and generated estimates based on the entire sample.
p < .05.
p < .01.
p < .001.