Questions tagged [mcar]

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How to identify whether my data follows “Missing At Random” (MAR) mechanism or not? [closed]

I was having two similar studies with two variables (anti-gE and anti-VZV (continuous variable)) linearly related to each other (with same relationship between both the studies in anti-gE and anti-VZV)...
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20 views

how to conduct Little’s MCAR tests in SPSS

The sample consists of 185 students. The data consists of task 2 score (the outcome) and some predictor variables. SPSS was used to test MCAR. I included three predictors that are moderately related ...
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1answer
63 views

Little's MCAR test Chi-Square =.000

I am trying to understand the results of my Little's MCAR test (SPSS 26). Chi-Square = .000, DF = 2113, Sig. = 1.000 As much as I have read articles reporting Little's MCAR test, nobody reports Chi-...
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2answers
53 views

Dataset having about 1% missing fraction, missing completely at random. How would I address the missingness of the dataset?

I have a dataset comprising of 1% missing fraction where data is missing completely at random. How would I address the missingness of the dataset with a multiple imputation technique? For example, is ...
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2answers
47 views

Is data that has been entered incorrectly treated the same as missing data?

I am doing an online study and have just started looking at the data. I noticed two of my participants have listed ages that they couldn't possibly be (e.g 450 and 220). I'm wondering what the ...
2
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1answer
122 views

MCAR, MAR and EM

I have a binary(1/0) classification task. I am trying to find $p(y = 1 | X)$ where $X$ is the vector of input variables and $y$ is the binary output label. Suppose that for some records the output ...
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0answers
25 views

All items missing for various questionnaires

this is actually the first time I'm working on a big dataset and I really hope someone can give me some advice on how to handle missing data. I tried to find information regarding my problem but can't ...
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1answer
136 views

MCAR NA imputation

I would like to create a MCAR database in R from an existing complete one. I would like to have only some variables with NA observations, here's the code I used: ...
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0answers
1k views

MCAR test for large number variables and small sample size

I have a dataset with 101 observations and 402 columns (those columns comprise several multiple-item questionnaires). Among those 402 columns, 10 of them are categorical and the remaining are ...
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1answer
200 views

How to test that your missing data is completely at random (MCAR)

I am doing a secondary analysis of data from a local trial (N=450, mean follow-up longer than 10 years). I am specifically looking at a secondary outcome (diagnosis of hypertension) after 10 years ...
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0answers
57 views

Adjusting n after using pairwise deletion

I am using pairwise deletion to compute the correlation matrix of a data set. I think this approach is appropriate because: I have well under 10% missing values (~2%) I have only around 50% complete ...
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2answers
658 views

Little's MCAR test: why must missing values be random?

When we have data with a lot of missing values, as I see it, the missing values are likely to be observed with some systematic properties. Maybe some sex is more likely to not answer a question and ...
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0answers
411 views

What to do when expectation maximization results are invalid (they don't match the likert scale)

I have missing values (MCAR) for which I used EM to fill in those values. Some of the imputed values are negative integers or zero. I am using a likert scale to measure responses, and thus i need the ...
2
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1answer
14 views

should you include DV in MCAR when missings are found in IVs?

can anyone please help me with this question, can't find a satisfactory answer on the stats sites. A reviewer of one of my articles commented that I should include the DVs in my MCAR analysis. But i ...
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2answers
7k views

How to interpret MCAR (missing completely at random) any papers that I can read?

When dealing with missing data and Little's missing completely at random test, it's widely considered that if the test has a significance level of P>0.05 the data can be considered as MCAR. But, I ...