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From |
Richard Williams <richardwilliams.ndu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu, statalist <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Missing Values in Multiple Imputation Data Sets |

Date |
Tue, 05 Feb 2013 10:09:06 -0500 |

At 06:55 AM 2/5/2013, Patti Fritz wrote:

Hello All,I am a novice to Stata, having just begun usingit 3 weeks ago. Therefore, my questions arelikely very naive. I am trying to conductmultiple imputation of a data set that primarilycontains positively skewed/frequentlyover-dispersed ordinal predictor variables(i.e., history of various forms offamily-of-origin aggression assessed on 3- or4-point scales from not at all to a lot); myother predictors consist of demographicvariables (e.g., age, gender, income, number ofmarriages, marital status). My outcome variablesare dichotomous (partner violence) and thesample size is N = 3,635. There is substantialmissing data on some of the items (e.g., 21%),and complete data across all variables is onlyfound among 556 cases). When I attempt toconduct mi impute chained commands (I've triedpoisson, and nbreg), there are still somemissing values in some of the imputed data sets.Specifically, every variable still has somemissing data across the 20 imputed data sets. Is there!a way to alleviate this problem?I can get the mi impute mvn command to work, butafter reading some of the literature, I'm notsure this is the best approach. In addition, Ihaven't been able to get the mi chained (ologit)command to work because I get the following error:matsize too smallÂ Â Â You have attempted to create a matrixwith too many rows or columns or attempted to fit aÂ Â Â model with too many variables.Â You needto increase matsize; it is currently 800.Â Use setÂ Â Â matsize; see help matsize.Â Â Â If you are using factor variables andincluded an interaction that has lots of missingÂ Â Â cells, either increase matsize or setemptycells drop to reduce the required matrix size;Â Â Â see help set emptycells.Â Â Â If you are using factor variables, youmight have accidentally treated a continuous variableÂ Â Â as a categorical, resulting in lots ofcategories.Â Use the c. operator on such variables.error occurred during imputation of g2sabuse_s05 ipvabuse_s05 s2gabuse _g04 ipvabuse_g04f2sslap_s94 m2sslap_s94 f2gslap_s94 m2gslap_s94s2gslap_s94 g2sslap_s94 p2pslap_s94 f2sslap_s05f2sabuse_s05 m2sslap_s05 m2sabuse_s05f2gslap_g04 f2gabuse_g04 cp260hec cb103redr gb103redr on m= 1 r(908);I only have Stata/IC 12.1 on my laptop, but I'mgoing to see if the computer labs at work havethe SE version. If yes, I'll see if I can getthe ologit command to work. Regardless, I'minterested in finding out why missing values arefound in the imputed data sets.Thanks in advance for your time and assistance. They are greatly appreciated! Cheers, Patti Patti A. Timmons Fritz, Ph.D., C. Psych. Associate Professor Department of Psychology University of Windsor Windsor, Ontario N9B 3P4 Canada * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Missing Values in Multiple Imputation Data Sets***From:*Patti Fritz <pfritz@uwindsor.ca>

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