Below is the spss syntax for unconditional linear growth model. mixed SE with Time /fixed = intercept time /random intercept time | subject(id) covtype(un) /print=solution
testcov /method ml. We have 2 time points (Time=0 and Time=1) with n=165. SPSS computes the parameter estimates, except the covariance estimate for UN(2,2). A note appeared as "This covariance parameter is redundant. The test statistic and confidence interval cannot be computed.". Can someone comment why the estimate for UN(2,2) cannot be computed? What is meant by "covariance parameter is redundant"? Thank you. Eins |
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In reply to this post by E. Bernardo
You are trying to estimate three random coefficeints with only two data points per subject.
Paul R. Swank, Ph.D., Professor Health Promotions and Behavioral Sciences School of Public Health University of Texas Health Science Center Houston ________________________________ From: SPSSX(r) Discussion [[hidden email]] On Behalf Of E. Bernardo [[hidden email]] Sent: Thursday, December 27, 2012 3:06 AM To: [hidden email] Subject: Unconditional Linear Growth Model using SPSS Below is the spss syntax for unconditional linear growth model. mixed SE with Time /fixed = intercept time /random intercept time | subject(id) covtype(un) /print=solution testcov /method ml. We have 2 time points (Time=0 and Time=1) with n=165. SPSS computes the parameter estimates, except the covariance estimate for UN(2,2). A note appeared as "This covariance parameter is redundant. The test statistic and confidence interval cannot be computed.". Can someone comment why the estimate for UN(2,2) cannot be computed? What is meant by "covariance parameter is redundant"? Thank you. Eins ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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