CFA模型适合lavaan –完美的模型索引,没有卡方

时间:2018-10-30 14:36:32

标签: r r-lavaan

我正在尝试使用lavaan估算cfa。因为我的最终目标是测试10个数据波的测量不变性,所以我将使用三个包裹(这是几个项目的平均得分),而不是十个原始项目。

但是,我现在面临的问题是,尽管可以使用10个项目来估算cfa,但它却为带有三个宗地的模型提供了奇怪的估算。确定了模型,R没有给出任何警告或错误,在这两个模型中,我都获得了所有变量和方差的估计值,据我所知,模型规范似乎没有任何其他问题(已经在其他研究中使用过)。

有人知道这个问题可能是什么吗?

下面首先是带有项目的cfa的输出,然后是带有宗地的模型的输出。

lavaan 0.6-3 ended normally after 25 iterations

  Optimization method                           NLMINB
  Number of free parameters                         20

                                                  Used       Total
  Number of observations                         38622       38623

  Estimator                                         ML
  Model Fit Test Statistic                   37230.201
  Degrees of freedom                                35
  P-value (Chi-square)                           0.000

Model test baseline model:

  Minimum Function Test Statistic           206650.167
  Degrees of freedom                                45
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    0.820
  Tucker-Lewis Index (TLI)                       0.769

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)             -576140.643
  Loglikelihood unrestricted model (H1)     -557525.543

  Number of free parameters                         20
  Akaike (AIC)                              1152321.287
  Bayesian (BIC)                            1152492.518
  Sample-size adjusted Bayesian (BIC)       1152428.958

Root Mean Square Error of Approximation:

  RMSEA                                          0.166
  90 Percent Confidence Interval          0.164  0.167
  P-value RMSEA <= 0.05                          0.000

Standardized Root Mean Square Residual:

  SRMR                                           0.075

Parameter Estimates:

  Information                                 Expected
  Information saturated (h1) model          Structured
  Standard Errors                             Standard

带包裹的模型:

lavaan 0.6-3 ended normally after 16 iterations

  Optimization method                           NLMINB
  Number of free parameters                          6

                                                  Used       Total
  Number of observations                         38622       38623

  Estimator                                         ML
  Model Fit Test Statistic                       0.000
  Degrees of freedom                                 0
  Minimum Function Value               0.0000000000000

Model test baseline model:

  Minimum Function Test Statistic            83185.522
  Degrees of freedom                                 3
  P-value                                        0.000

User model versus baseline model:

  Comparative Fit Index (CFI)                    1.000
  Tucker-Lewis Index (TLI)                       1.000

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)             -131391.625
  Loglikelihood unrestricted model (H1)     -131391.625

  Number of free parameters                          6
  Akaike (AIC)                              262795.249
  Bayesian (BIC)                            262846.619
  Sample-size adjusted Bayesian (BIC)       262827.551

Root Mean Square Error of Approximation:

  RMSEA                                          0.000
  90 Percent Confidence Interval          0.000  0.000
  P-value RMSEA <= 0.05                             NA

Standardized Root Mean Square Residual:

  SRMR                                           0.000

Parameter Estimates:

  Information                                 Expected
  Information saturated (h1) model          Structured
  Standard Errors                             Standard

非常感谢!

0 个答案:

没有答案