imputation

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...

I have a table of 4 variables where some of the data is missing and I need to impute the missing values, my table is as follows: X1 X2 X3 X4 1.0 20 3.5 4 1.1 18 4.0 2 1.9 22 2.2 - 0.9 15 - - My notes for this material a quite...

Hello, everyone, I need a little bit of help salvaging the data from a questionnaire. One of my colleagues applied a questionnaire, but inadvertently, instead of using the original 5-point Likert scale (strongly disagree to strongly agree), he inserted a 6th answer into the scale. And, to...

Hi, I want to apply a Poisson GLM to count data, analyzing trends. However, there are missing counts (i.e. missing values in the outcome variable) in the dataframe. Is there any recommended method how to deal with this? I know there exists "multiple imputation methods" to fill the gaps in the...

Hi all! I have what is likely a simple regression problem. I am imputing Variable X from survey Y to survey Z. I am using a simple linear regression model and the predict function in STATA. So, I run a regression on Variable X in survey Y, using a host of independent dummy variables...

Hello! I am working with an occupation cohort exposed to radiation and have a dataset containing a number of variables on each worker, including their job title, year of birth, radiation exposure level, and the date on which the radiation sample was collected. Some of the radiation exposure...

Participants completed 2 questionnaires at Time 1, and each questionnaire is being scored for empathy. Because of recording issues, I do not have an empathy score for some participants for Questionnaire A. If there is a meaningful correlation between empathy scores on Questionnaire A and...

Background: I had a data set containing 212 observations with a lots of missing values. Most of the IVs and DVs are categorical (DVs are ordinal) in nature. There are 3 DVs and about 30 IVs. My intention was to run an ordinal logistic regression. A list-wise deletion keeps only 42...

I am working on survey data, with missing values imputed using a nearest neighbour method. I am currently interested in assessing the effect of imputation on the quality of data, to consider whether incorrect values may have been imputed. This would be based on relationships with non-missing...

I will appreciate any advise/critique. The problem is as follows: I have 21 objects which define a context. For each object, I would like to ask questions on 14 attributes. With O(bjects)=21 and A(ttributes)=14, the number of question for each respondent would be 21*14 = 294, excluding...

Hi gurus, I really appreciate some advise on handling missing values. Briefly, subjects rated 21 objects (obj 1 ...obj 21) on 14 attributes (attr1...attr14). Given the size of the questionnaire (21*14), we split the questionnaire into two parts: N1 (about 150) subjects rated Obj1..Obj11...

Hi, all, I have a measure for which I have two cases missing values for all items. The missingness is MCAR (due to experimenter error); is it possible (and more specifically, to any degree methodologically sound) to impute values for these cases' items using observations from other available...

Hello all, I have a datafile with subscales totals from various questionnaires. Some subscales are from the same questionnaire, so if a participant didn't fill that questionnaire in, it has a missing value on two (or more) scales from the same questionnaire. I would like to know whether I...

Hai, i'm new in here. I'm doing my final project now. Actually i'm not in statistics department or something about statistics. I'm in informatics faculty. It's about imputation missing value. And the method i used here is about regression. But actually i can't really get it how the method...

Hello everyone, I'm working with government panel data (yearly data of manufacturing industry (row) by continent (column)) that has a lot (about 10%) missing values that appear to be random. However, I do have the row and column totals, and I do have (in many cases), the surrounding years'...