Hello :)
Actually I'm doing my Master thesis and therefor I'm running a multilevel analysis with clustered data, but actually I get some warnings. I have 103 participants and each of them answered up to 21 questionnaires (3 times daily). I have some missing data, but I ordered the data in the vertical format, so I'm loosing around 10% of the measurements. If I run the null model for a binary outcome (nominal scale; 0,1 format), to check what proportion of the variance is caused by clustering of the data, the model is running but I get two warnings, and I'm not sure if I can ignore them. I get the following warnings: glmm: One or more records are not used in the analysis because they have one or more fields with invalid or missing values. glmm: Valid values for events (target) and trials variables are non-negative and positive integers respectively, and the number of trials cannot be less than the number of events. If I rerun the model after adding predictors the same warnings are displayed but the analysis is nevertheless running.. I use the following syntax for my model: GENLINMIXED /DATA_STRUCTURE SUBJECTS=Person REPEATED_MEASURES=MP_timec COVARIANCE_TYPE=AR1 /FIELDS TARGET=ND_Fortschritt_GMc_Cutoff TRIALS=NONE OFFSET=NONE /TARGET_OPTIONS DISTRIBUTION=BINOMIAL LINK=LOGIT /FIXED USE_INTERCEPT=TRUE /RANDOM USE_INTERCEPT=TRUE SUBJECTS=Person COVARIANCE_TYPE=VARIANCE_COMPONENTS SOLUTION=FALSE /BUILD_OPTIONS TARGET_CATEGORY_ORDER=DESCENDING INPUTS_CATEGORY_ORDER=DESCENDING MAX_ITERATIONS=100 CONFIDENCE_LEVEL=95 DF_METHOD=RESIDUAL COVB=ROBUST PCONVERGE=0.000001(ABSOLUTE) SCORING=0 SINGULAR=0.000000000001 /EMMEANS_OPTIONS SCALE=ORIGINAL PADJUST=LSD. I would be very grateful if somebody could help me with my question. Thanks a lot! Elisabeth -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== 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 |
Sounds like you are using genlinmixed. I haven't used this for a while but what a beast! I think the first message, which is a warning but not an error, is because your DV has missing data. I think that if those cases are excluded that warning will disappear. I also think the second message is related to missing data as well.
Gene Maguin -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Elisabeth Sent: Monday, July 27, 2020 10:06 AM To: [hidden email] Subject: Warnings concerning a multilevel analysis with dichotomous outcomes Hello :) Actually I'm doing my Master thesis and therefor I'm running a multilevel analysis with clustered data, but actually I get some warnings. I have 103 participants and each of them answered up to 21 questionnaires (3 times daily). I have some missing data, but I ordered the data in the vertical format, so I'm loosing around 10% of the measurements. If I run the null model for a binary outcome (nominal scale; 0,1 format), to check what proportion of the variance is caused by clustering of the data, the model is running but I get two warnings, and I'm not sure if I can ignore them. I get the following warnings: glmm: One or more records are not used in the analysis because they have one or more fields with invalid or missing values. glmm: Valid values for events (target) and trials variables are non-negative and positive integers respectively, and the number of trials cannot be less than the number of events. If I rerun the model after adding predictors the same warnings are displayed but the analysis is nevertheless running.. I use the following syntax for my model: GENLINMIXED /DATA_STRUCTURE SUBJECTS=Person REPEATED_MEASURES=MP_timec COVARIANCE_TYPE=AR1 /FIELDS TARGET=ND_Fortschritt_GMc_Cutoff TRIALS=NONE OFFSET=NONE /TARGET_OPTIONS DISTRIBUTION=BINOMIAL LINK=LOGIT /FIXED USE_INTERCEPT=TRUE /RANDOM USE_INTERCEPT=TRUE SUBJECTS=Person COVARIANCE_TYPE=VARIANCE_COMPONENTS SOLUTION=FALSE /BUILD_OPTIONS TARGET_CATEGORY_ORDER=DESCENDING INPUTS_CATEGORY_ORDER=DESCENDING MAX_ITERATIONS=100 CONFIDENCE_LEVEL=95 DF_METHOD=RESIDUAL COVB=ROBUST PCONVERGE=0.000001(ABSOLUTE) SCORING=0 SINGULAR=0.000000000001 /EMMEANS_OPTIONS SCALE=ORIGINAL PADJUST=LSD. I would be very grateful if somebody could help me with my question. Thanks a lot! Elisabeth -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== 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 ===================== 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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