I want to run an MSEM and when I added Gender (1=Male, 2=Female) as a control variable, I got the error below. I had used the DEFINE option to create a new variable but it has not worked. What is the way around it? *** ERROR One or more variables have a variance of ...
随后,如果预测变量中有类别变量,需要我们自己用DEFINE语句定义哑变量,格式为哑变量 = 原有变量 == 类别编号,也就是说,当原有变量值为指定类别时(“原有变量 == 类别编号”判断结果为True),这个哑变量赋值为1,否则为0。记得将这里新定义的哑变量也加入前面的USEVARIABLES里面。 接下来是指定分析类型,ANALYSIS语句...
VARIABLE: NAMES ARE id S1 S2 P1 P2 nS1 nP1; USEVARIABLES ARE S1 S2 P1 P2 offset1 offset2; COUNT = S2 P2; DEFINE: offset1=log(nS1); offset2=log(nP1) ANALYSIS: Type = General; Estimator = mlr; MODEL: S2 ONoffset1@1S1; S2 ONoffset1@1P1; P2 ONoffset2@1S1; P2 ONoffset2@1...
IF (Year EQ 2006) THEN Dummy = 1; I get an error that all of my variables have missing data. If I use: USEOBSERVATIONS ARE (Year EQ 2006) OR (Year EQ 2009); DEFINE: Dummy = 0; IF (Year EQ 2006) THEN Dummy = 1; I get an error saying that my dummy variable has no ...
1. Is it possible to define a variable that designates those clusters with few number of cases in them so that I can run the analysis without them using USEOBSERVATIONS command? 2. Is the estimation method mentioned in Appendix 10 (page 380 of the User's guide) called MUML not included...
You can, however, in Mplus define a residual by defining a factor that influences the dependent count variable, e.g. when regressing y on a covariate x, f by y@0; y on x f@1; which would estimate a residual variance in the form of the factor variance for f. With say 2 ...
Define: weight=1 ; Can I trust my results? Or am I missing something? Thanks, Lars Tihomir Asparouhov posted on Tuesday, December 05, 2017 - 5:07 pm Yes. dummyvariable123 posted on Tuesday, February 13, 2018 - 3:06 am Dear Dr. Muthen, I am testing a multilevel mediation...
math_i math_s |rc2mscal@1rc4mirt@3rc5mirt@7; The tech5 output indicates that there are 13 iterations. Thanks. DATA: FILE IS "C:\TEMP\m3.txt"; VARIABLE: NAMES ARE y1 y2 y3 y4 y5 y6 y7; USEVARIABLES ARE y2 y3 y4 y5 y6; ...
between level intercept | y on dummy and between level slope | y on dummy x time. 1. Different tests were taken in each year although equated from year to year: Dear Linda/Bengt I am using a multiple indicator growth model to model varablity of individuals within shools, and schools are...
In trying to create a 3-factor latent measure of 'diet', I am getting an error message which indicates that only one factor can be used to define diet. is this because these variables should not be combined into a factor analytic model? INPUT INSTRUCTIONS TITLE: measurement model first ...