multiple imputation

  1. S

    Getting ANCOVA results with a regression

    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...
  2. O

    multilevel data (cross-classified) - multiple imputations mice and miceadds

    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=...
  3. A

    Multiple Imputation in SPSS: What to do and report

    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...
  4. H

    Multiple imputation

    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...
  5. E

    How to JOINTLY perform multiple imputation with normal dataset and multiple response sets in SPSS? And right kind of Cluster analysis for binary data?

    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...
  6. S

    Limits for missing values in the multiple imputation method

    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...
  7. G

    Pooled estimate of logistic regression with complex weights

    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...
  8. G

    Multiple Imputation Method - Including complex weights

    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...
  9. E

    How to handle missing data?

    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...
  10. 1

    Missing information (adjusted residuals) from pooled multiple imputation output

    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...
  11. P

    Proc MI fully conditional specification

    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)...
  12. R

    Aggregate - data with multiple imputation

    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...
  13. S

    Multiple imputation on categorical (dummy coded) data

    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...
  14. Z

    Mediation analysis after multiple imputation

    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...
  15. amsavage

    Consolidating multiply imputed data into a single dataset

    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...
  16. P

    Subpopulation analysis: Multiple imputation of survey data

    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...
  17. T

    Missing value treatment for categorical & continues variables and testng MCAR/MAR

    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...
  18. T

    Binary logistic regression with multiple imputed data: how to get pooled estimates?

    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...
  19. B

    Missing Information in Regression Analysis Output using Multiple Imputation

    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...
  20. V

    multiple imputation and nested/hierarchical regression

    Can anyone enlighten me as to how I can conduct a nested/sequential/hierarchical regression using multiply imputed datasets in R or Stata? In Stata, I tried using nestreg but received an error message stating that was not possible. Many thanks for the help.