4.796 0.138 0.137 0.136 0.136
37 speed =~ x1 0.014 0.024 0.015 0.013 0.013
38 speed =~ x2 1.580 -0.198 -0.123 -0.105 -0.105
39 speed =~ x3 0.716 0.136 0.084 0.075 0.075
40 speed =~ x4 0.003 -0.005 -0.003 -0.003 -0.003
41 speed =~ x5 0.201 -0.044 -0.027 -0.021 -0.021
42 speed =~ x6 0.273 0.044 0.027 0.025 0.025
再根据MI(一般以4为标准)和EPC值进行调整。
15. 从拟合方程中提取信息
summary():结果概览
parameterEstimates(fit):参数估计
fit <- cfa(HS.model, data=HolzingerSwineford1939)
parameterEstimates(fit)
standardizedSolution():标准化参数估计
fit <- cfa(HS.model, data=HolzingerSwineford1939)
standardizedSolution(fit)
fitted():拟合协方差矩阵和均值向量
fit <- cfa(HS.model, data=HolzingerSwineford1939)
fitted(fit)
resid():拟合模型残差,[观测协方差矩阵/均值向量]和[隐含协方差矩阵/均值向量]的差
fit <- cfa(HS.model, data=HolzingerSwineford1939)
resid(fit, type="standardized")
fitMeasures():返回所有拟合度量指标
fit <- cfa(HS.model, data=HolzingerSwineford1939)
fitMeasures(fit)
fitMeasures(fit, "cfi") # 提取某个具体指标,例如cfi
inspect():查看拟合的lavaan对象具体信息