I am trying to conduct a linear growth model in SPSS using mixed models. We
conducted a training study where participants (interviewers) conducted 10
weeks of interviews with children, receiving regular peer-review. Our
dependent measures are their questioning techniques, and how they might
change over time (e.g. does the proportion of yes-no questions decrease?).
When I run the model in SPSS, I get an error stating the following: The
final Hessian matrix is not positive definite although all convergence
criteria are satisfied. The MIXED procedure continues despite this warning.
Validity of subsequent results cannot be ascertained.
In addition, on the estimates of covariance parameters, I get the following
error: This covariance parameter is redundant. The test statistic and
confidence interval cannot be computed.
I have tentatively conducted a one-way ANOVA to assess whether there is
level 2 variation in my predictor, and there is. This was significant at p <
.001.
I am unsure why I am receiving the current error for the growth model and
would like to solve the problem. Here is my syntax:
Please help!
MIXED YN_Proportion WITH Interview_Number
/CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0,
ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
/FIXED=Interview_Number | SSTYPE(1)
/METHOD=ML
/PRINT=CPS CORB DESCRIPTIVES SOLUTION TESTCOV
/RANDOM=INTERCEPT Interview_Number | SUBJECT(Participant) COVTYPE(ARH1).
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