Posted by
Stolz100 on
Apr 04, 2014; 9:45pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-Hessian-Matrix-Error-Help-tp5725300p5725319.html
Hi. Children's responses are proportions ranging from .00 - 1.00. Interview
number is the week number, ranging from the 1st interview at week 1 to the
10th interview at week 10.
The ARH1 rho covariance is identified as redundant. If I remove the random
effect for interview number (week), then the model runs just fine. However, the model does not give me any measure of the relationship between the intercept and the slope over the 10 weeks. Ideally, I would like to be able to say something about how interviewer's starting point related to their progress across the training.
The data seem normally distributed across the three dependent measures that
I need to conduct growth curves for (proportion of: yes-no questions, "Wh"
questions, open-invitation questions).
Thank you two so much for thinking through this with me! I've never
actually conducted a GENLINMIXED so if that is what is necessary I would
appreciate any tutorials or academic resources you recommend regarding that
analysis.
Warm regards,
Stacia
On Fri, Apr 4, 2014 at 2:28 PM, Ryan Black [via SPSSX Discussion] <
ml-node+s1045642n5725318h22@n5.nabble.com> wrote:
> 1. Your response is binomial, so GENLINMIXED is preferred.
> 2. Please define what Interview_Number means. I was expecting to see
> "week" as the random slope.
>
> Ryan
>
>
> On Fri, Apr 4, 2014 at 11:58 AM, Stolz100 <[hidden email]<
http://user/SendEmail.jtp?type=node&node=5725318&i=0>
> > wrote:
>
>> 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).
>>
>>
>>
>> --
>> View this message in context:
>>
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