Table 4.
Model Fit Statistics, Estimated Intercepts, and Slopes
| Fearfulness | Observed Fear: Lab-TAB Masks N = 137 |
Mother-Reported Fear IBQ-R N = 147 |
||||
|---|---|---|---|---|---|---|
| Model | Linear (df = 5) | Quadratic (df = 1) | Piecewise (df = 0) | Linear (df = 5) | Quadratic (df = 1) | Piecewise (df = 0) |
|
| ||||||
| χ2 | 23.09 (p = .00) | 0.11 (p = .74) | 0.00 (p = 1.00) | 2.79 (p = .73) | 0.21 (p = .88) | 0.00 (p = 1.00) |
| RMSEA | 0.17 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| SRMR | 0.14 | 0.01 | 0.00 | 0.04 | 0.00 | 0.00 |
| AIC | 960.48 | 945.01 | 946.91 | 892.49 | 897.52 | 899.50 |
| BIC | 986.22 | 982.18 | 986.94 | 917.94 | 934.29 | 939.09 |
| Inter-cept/Level1 | −0.02 | −0.03 | −0.02 | 2.28** | 2.01** | 2.27** |
| Intercept/Level Variance | 0.29** | −0.05 | 0.64** | 0.36** | 1.06 | 0.56** |
| Estimated Slope | 0.01 | 0.01 | ------ | 0.24** | 0.28** | ------ |
| Slope Variance | 0.01 | 0.12 | ------ | 0.05* | 0.71 | ------ |
| Quadratic Slope | ----- | 0.00 | ------ | ------ | -0.01 | ------ |
| Quadratic Slope Variance | ----- | 0.06 | ----- | ----- | 0.03 | ------ |
| Trend 1 Slope | ------ | ------ | 0.00 | ------ | ------ | 0.25** |
| Trend 2 Slope | ------ | ------ | 0.03 | ------ | ------ | 0.25** |
| Trend 3 Slope | ------ | ------ | 0.12 | ------ | ------ | 0.22** |
| Trend 1 Variance | ------ | ------ | 0.55** | ------ | ------ | 0.67** |
| Trend 2 Variance | ------ | ------ | 1.42** | ------ | ------ | 0.55** |
| Trend 3 Variance | ------ | ------ | 0.85** | ------ | ------ | 0.43** |
| Positive Affectivity | Observed Positive Affectivity: Lab-TAB Peek-a-boo N = 147 |
Mother-Reported Smiling/Laughter IBQ-R N = 148 |
||||
|---|---|---|---|---|---|---|
|
| ||||||
| Model | Linear (df = 5) | Quadratic (df = 1) | Piecewise (df = 0) | Linear (df = 5) | Quadratic (df = 1) | Piecewise (df = 0) |
| χ2 | 4.29 (p = .51) | 0.03 (p = .87) | 0.00 (p = .00) | 4.45 (p = .92) | 1.33 (p = .97) | 0.00 (p = .00) |
| RMSEA | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| SRMR | 0.06 | 0.00 | 0.00 | 0.03 | 0.02 | 0.00 |
| AIC | 350.82 | 355.99 | 355.96 | 1162.76 | 1167.50 | 1178.04 |
| BIC | 376.49 | 391.07 | 395.89 | 1192.38 | 1208.98 | 1237.30 |
| Inter-cept/Level1 | 0.61** | 0.62** | 0.62** | 4.50** | 4.51** | 4.50** |
| Intercept/Level Variance | 0.09** | 0.14** | 0.15** | 0.84** | 0.85** | 1.15** |
| Estimated Slope | 0.06** | 0.03 | ------ | 0.04# | 0.01 | ------ |
| Slope Variance | 0.01* | 0.11 | ------ | 0.03** | 0.08 | ------ |
| Quadratic Slope | ------ | 0.01 | ------ | ------ | 0.01 | ------ |
| Quadratic Slope Variance | ------ | 0.01 | ------ | ------ | 0.01 | ------ |
| Trend 1 Slope | ------ | ------ | 0.04 | ------ | ------ | 0.07 |
| Trend 2 Slope | ------ | ------ | 0.07 | ------ | ------ | -0.03 |
| Trend 3 Slope | ------ | ------ | 0.07 | ------ | ------ | 0.06 |
| Trend 1 Variance | ------ | ------ | 0.15** | ------ | ------ | 0.58** |
| Trend 2 Variance | ------ | ------ | 0.15** | ------ | ------ | 0.46** |
| Trend 3 Variance | ------ | ------ | 0.19** | ------ | ------ | 0.51** |
*
p < .05;
**
p < .01;
#
p < .10.
1
Level corresponds to intercept in the piecewise model.
Notes. Best model fit: fear = piecewise; positive affectivity = linear; Trend 1= 6–8 months; Trend 2 = 8–10 months; Trend 3 = 10–12 months.
RMSEA = root-mean-square error of approximation; SRMR = standardized root-mean-square residual; AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion.