Table 4.
Latent Growth Model: Model Fit Indices and Standardized Parameter Estimates of the Predictive Effects of Temperament and SES Risks
Effortful Control and SES Risks | Negative Affect and SES Risks | Surgency and SES Risks | |||||
---|---|---|---|---|---|---|---|
Intercept | Slope | Intercept | Slope | Intercept | Slope | ||
Study 1 WRRMP Reading |
Age | .74*** | −.77*** | .74*** | −.77*** | .74*** | −.77*** |
SES | −.13*** | .09** | −.12*** | .07* | −.14*** | .08* | |
Temperament | .14*** | −.04 | −.03 | .01 | −.06*** | .03 | |
SES x Temperament | −.00 | .06* | −.05+ | .01 | −.01 | −.05* | |
Fit Indices | χ2(df) = 545.65(52) RMSEA = .10; CFI = .95 |
χ2(df) = 536.10(52) RMSEA = .10; CFI = .95 |
χ2(df) = 569.33 (52) RMSEA = .11; CFI = .93 |
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Study 1 WRRMP Math |
Age | .47*** | −.62*** | .45*** | −.59*** | .47*** | −.64*** |
SES | −.16*** | −.11 | −16*** | −.18** | −.19*** | −.15* | |
Temperament | .17*** | −.09 | −.13*** | .08 | −.01 | .01 | |
SES x Temperament | .02 | .15+ | −.08* | .02 | −.03 | −.15* | |
Fit Indices | χ2(df) = 12.32 (10) RMSEA = .02; CFI = 1.00 |
χ2(df) = 20.48 (10) RMSEA = .04; CFI = 1.00 |
χ2(df) = 18.93 (10) RMSEA = .03; CFI = 1.00 |
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Study 2 SECCYD Reading |
SES | −.40*** | .10 | −.43*** | .09 | −.44*** | .10 |
Temperament | .21*** | −.11+ | −.10** | .23*** | .02 | .07 | |
SES x Temperament | −.08** | .13* | −.06+ | −.06 | .06 | −.03 | |
Fit Indices | χ2(df) = 3.79(3) RMSEA = .01; CFI = 1.00 |
χ2(df) = 5.95(3) RMSEA = .03; CFI = 1.00 |
χ2(df) = 4.41(3) RMSEA = .02; CFI = 1.00 |
||||
Study 2 SECCYD Math |
SES | −.34*** | .06 | −37*** | .06 | −.38*** | .07 |
Temperament | .17*** | −.10+ | −.07+ | .02 | .02 | −.01 | |
SES x Temperament | −.06 | .10+ | −.07* | .01 | .10** | −.14** | |
Fit Indices | χ2(df) = 19.17 (4) RMSEA = .05; CFI = .99 |
χ2(df) = 22.47 (4) RMSEA = .06; CFI = .99 |
χ2(df) = 19.28 (4) RMSEA = .05; CFI = .99 |
Note. df = degrees of freedom; RMSEA = root mean square error of approximation; CFI = comparative fit index.
p < .07;
p < .05;
p < .01;
p < .001.