multiple imputation

Hi All, I have been reading up on how to conduct multiple imputation on SPSS but wondered if there are any general ruled of thumb or references available to advise on how many iterations and imputations to use? Thank you in advance.

Hello ! My outcome variable is a change variable that can take positive and negative values. My ancova has 1 factor (with 3 categories) + 1 continous covariate + a categorical noise variable. Only my outcome variable has missing data. I have to do a sensibility analysis comparing results from...

I have some observations (Level 1) cross classified in two grouping variables (A and B at Levels 2a and 2B, respectively) in a Poisson model with an offset term: DV ~ L1o1+L1o2+L1o3+ L2a1+L2a2+L2b1+L2b2+L2b3+ L2b2:L2b3+L2b3:L2a1+ L2b2: L2a1+ L2b2:L2b3:L2a1+ offset(exp)+(1|A)+(1|B), family=...

Hi everyone :) I'm currently working on a research question where there are 2 categorical predictor variables (one with 2 levels between subjects, the other with 7 levels within subjects) and one continuous response variable. I want to conduct a simple repeated measures ANOVA in SPSS. The...

Hello everyone! I have conducted a multiple imputation in R with 5 imputations and 50 iterations using the function mice() from the corresponding mice package. Now that I have analysed and discussed all my results I have realised that the default settings of the complete () function is to...

down votefavorite (Unfurtuntely i can't upload the excel file ,can't find the button) Please im begging anybody’s help because im an mba student in global hospitality and tourism management and my teacher is unable to help I have purchase the spss premium version so I can use all its features I...

I have an understanding question and I need help. I have a record with many missing values. I now wanted to use the multipile Imputation method to replace the missing values. I would now like to know how many values per subject (in percent) may be missing, so that I can use the MI method at all...

Hello world, I apologize for not being smarter but here is my question with a bit of a background. I used a multiple imputation method to fill in missing data for a binary outcome that came from survey data. Unfortunately, I found that SPSS does not necessarily come up with a pooled estimate...

Hello, I was trying to perform a multiple imputation on missing data of my project. However, I was not able to find how to include complex weights into the analysis. I'm assuming that it would be added to the syntax. Sorry for the request but if it is so, would you be able to inform me what the...

Hi, I just finished an online study in which participants filled out several questionnaires at baseline and after 6 weeks (posttest). There were two groups a control group and an intervention group. The intervention group received online treatment and control group was a waiting list...

I am currently working on a dataset which has had multiple imputation analysis run on it. When I run any analysis, I have SPSS set up in such a way that my results are presented in the output window by ‘imputation block’, and at the bottom of every section (table) of analysis (whether it be...

Hi everybody, I'm using multiple imputation with the fully conditional specification (fcs) method in SAS (proc mi, fcs statement) to replace missing values in 26 variables. My choice for fcs was motivated by the fact that the missing value pattern was arbitrary. All variables (except one)...

I have data with missing values (less than 5%) . I used multiple imputation to impute the missing values and now I have the dataset with 5 imputations. I would now like to aggregate data (to the organization level). Can I use the normal "aggregate" command? How does SPSS deal with the multiple...

Hello, I have a question regarding multiple imputation for categorical variables, and hope very much that someone can answer me. I am using SPSS 20.0. So, I have a few categorical variables with several levels (for example, color, with blue, red, green, and yellow as levels) and have...

Hi, after multiple imputation how do i do a mediation analysis? Do i simply obtain the product term using the pooled coefficient for X--> M (a) and M--> Y (b) and its std. error from the separate linear regression analysis to calculate using the MacKinnon (2002) method? I was not able to find...

If one uses multiple imputation in STATA to derive 5 complete datasets, could the newly imputed values simply be averaged to create a substitute value? EG. 'mi impute mvn' is used to generate 5 possible values for one missing value. Can I average those 5 values and use the result by itself in...

Hi there, I have a dataset with survey data elements (i.e., psu, strata) and am doing a multiple logistic regression with 12 variables (mostly binary or categorical). Three of which predict whether a variable is missing. Given that the variables are "missing at random" (MAR), I know complete...

Hello everybody, My dataset (N=90) consists of ordinal variables serving as IVs and dichotomous and continuous variables serving as DVs. IVs and DVs were assessed in two seperate experiments with the same sample. My proximal goal is to build scales from the IVs and the DVs. I am using PWSTAT...

Dear all, I have performed multiple imputation on my dataset using SPSS 20, giving me 10 different datasets. I have understood that you could easily perform logistic regression on these and that you would get the pooled estimates (saw some examples of this as well, but only with the enter...

I recently conducted a hierarchical regression analysis testing for a moderation effect in SPSS 22 using multiple imputed data and I’m not sure how to best report from “pooled data” with some information missing. Specifically, when you run a regression, the output does not provide R, R square...