The missing-data tag has no wiki summary.
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multiple imputation with binary variables
I have 54 missing values in my dataset of 459 cases. Variables are all binary (0-1). I want to try a multiple imputation to avoid a listwise deletion, using the mi ...
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25 views
R - Multidimensional Scaling and Missing Values
I include MDS analysis in a customer survey and have about 10 brands I want to include in the perceptual map at the end. Meaning the customers would have to rate 45 comparisons and give a similarity ...
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15 views
Monotonic and non-monotonic patterns of missing values: how do they look like?
I was reading the user's guide of SPSS on missing value analysis and I found the terms monotonic and non-monotonic pattern of missing values. The terms are not quite clear to me. They used ...
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1answer
53 views
How should I define missing values due to skip questions in SPSS?
I have a questionnaire that contains some skip questions. Like, say, the 3rd question is a yes/no type question. Only those who answered "yes" to the 3rd question are requested to answer the 4th, 5th ...
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14 views
Strategy to model, then predict / impute with very sparse variable?
Please excuse vague title. I am currently using an unsupervised SOM clustering approach to try to determine values for a variable that is mostly missing. I have ~8000 observations of 10 variables, the ...
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1answer
43 views
Likert Scale Analysis - Pre/Post
I was hoping somebody could help with determining the correct statistical test to use.
Basically a teaching session was done which assessed confidence and perceptions of handling a situation using 3 ...
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33 views
“the leading minor of order 1 is not positive definite” error using 2l.norm in mice
I am having a problem using the 2l.norm method of multilevel imputation in mice.
Unfortunately I cannot post a reproducible ...
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1answer
54 views
Warning:“NAs introduced by coercion” in MICE with unique ID
I am having a problem using MICE, where it generates the following warning:
Warning message:
In var(data[, j], na.rm = TRUE) : NAs introduced by coercion
This ...
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16 views
How can I set “999” as the DEFAULT missing value in SPSS/PASW? [migrated]
I'm importing a very large dataset into SPSS. Many fields in the dataset contain a "999" value, indicating a missing value. I want to instruct SPSS to view them as such. However, default each variable ...
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25 views
Can I safely ignore weekends in a foreign-exchange market time series analysis
I'm working on a paper analysing the behavior of foreign exchange markets and identifying structural breaks in currency price time series.
This is a bit of a stupid question, but can I just safely ...
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30 views
Does the EM algorithm for mixtures still address the missing data issue?
There is a PDF $p(D| \theta)=p(X,Z| \theta)$ with observed values $X$ but also some missing or incomplete values $Z$ (for eg. resulting from censoring).
The expectation-maximization (EM) algorithm is ...
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1answer
58 views
Repeated Measures ANOVA missing values - run separate models?
I am evaluating pre and post test data for 2 groups using repeated measures ANOVA. Given that I am missing a few data cells, the final n is reduced in the analysis. I'd like to know if I can run ...
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23 views
Ignoring weekends when using time series operators in STATA [migrated]
Is it possible to tell STATA to ignore saturdays and sundays when using time series operators such as L and F?
For example, ...
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1answer
31 views
Orthogonal sets of variables in multiple imputation --> separate imputation models?
First, thanks to those who gave me useful input on this project in a previous thread on this site.I've got a new-ish question at this point on the mechanics of MI (using MI via chained equations):
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2answers
109 views
Imputing a missing variable based on common variables with another data set
I have 2 data sets: $A$ and $B$. The variables are common to both data sets with the exception of two, which are both missing in A. Let's call those two additional variables: $b_1$ and $b_2$. We ...
