Little's test for Missing Completely At Random (MCAR) in R/Stata/SPSS

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An explanation of Little's test for whether data is Missing Completely at Random, with demos.
00:00 Introduction
00:44 Recap of missing data assumptions
02:30 Little's MCAR test: Short and Sweet
03:44 Little's MCAR test: Deep Dive
07:37 Demo in R
08:34 Demo in Stata
10:05 Demo in SPSS

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References
  1. Stats with Mia
  2. data science
  3. missing data
  4. SPSS
  5. Stata
  6. MCAR
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Комментарии
Автор

Yes! Just what I'm studying right now 😭😭, thank you

Sathynne
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thank you for the video. very easy to understand!

Hkim
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Thanks! I enjoyed this video; however, in R, the "naniar" package's function is only reliable (and only runs) when the dataset is equal or less than 30 variables. Other functions are similarly limited. Are you aware of any alternatives?

carlaprieto
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Thank you for this video. I am trying to perform the Little's test using python. Most solutions online weren't really useful, so was wondering if there is a step by step methodology somewhere (video, book etc.)

thetasworld
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I thought missing at random did not rely on itself but rather other variables?

LeoDupuy
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Hi.. What if my dataset has categorical variables too? will this still work?

xhqcwbl
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Using this test gives me a completely right answer: the missing data is MCAR? I really love your learning style.

yasserali-uuvd