idv调节中介模型的第一阶段
其他结果都有,只是模型拟合部分报错,这是为什么呢?
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE
TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE
FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING
VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE
CONDITION NUMBER IS -0.432D-18. PROBLEM INVOLVING THE FOLLOWING PARAMETER:
Parameter 9, %BETWEEN%: S ON IDV (equality/label)
THE NONIDENTIFICATION IS MOST LIKELY DUE TO HAVING MORE PARAMETERS THAN THE
NUMBER OF CLUSTERS. REDUCE THE NUMBER OF PARAMETERS.
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 18
Loglikelihood
H0 Value -275978.380
H0 Scaling Correction Factor 9.7323
for MLR
Information Criteria
Akaike (AIC) 551992.761
Bayesian (BIC) 552151.884
Sample-Size Adjusted BIC 552094.679
(n* = (n + 2) / 24)