New answers tagged categorical-data
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Cohen's Kappa for repeated-measures binary variables
I'm not sure the best option but I'm pretty sure this would be a valid approach:
Intraclass correlation coefficient (ICC) is common statistic used to assess the agreement between 2 numeric variables, ...
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Categorical Dependent Variable
How to approach this? I'd say "very, very cautiously, especially if you don't have a huge sample."
First, I'd think very carefully about whether and why you need 60 levels of the dependent ...
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Are There Techniques for Analyzing Data That Have Predictor Variables That Contain Ranges of Numbers Instead of Single Values?
You could use indicator variables for those depth categories. Then the data could be used to tell what relationships can be found. For example, some characteristics could increase or decrease ...
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Are There Techniques for Analyzing Data That Have Predictor Variables That Contain Ranges of Numbers Instead of Single Values?
One thing you could do is to make each the midpoint of its category, so 0 to 5 becomes 2.5. This is rather unrealistic, but may be good enough.
To get a little more sophisticated, you could add random ...
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Can I use raw scores of MMPI 2 in logistic regression?
Lots of issues here.
First "prove" is too strong a word. You can find evidence of something, but proving things with statistics in what will have to be an observational study is not possible ...
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Accepted
Converting a Continuous Variable Into a Larger Ordinal Categories for Logistic Regression?
Do not discretize your data. This loses information for no gain at all. For one, it treats values in the same bucket as identical, and values that are close together but in different buckets as ...
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McNemar test as z test or chi squared test
I would strongly NOT recommend to use McNemar test, since commonly it is impossible to reasonably interpret its results. An example in R:
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Accepted
McNemar test as z test or chi squared test
Strictly the test statistic is discrete (in either form) since it's based on counts; indeed under the assumptions (conditional on $n=b+c$), $b-c$ is a scaled and shifted binomial.
The normal and chi-...
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Related Tags
categorical-data × 3612regression × 808
r × 626
logistic × 352
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machine-learning × 221
chi-squared-test × 211
categorical-encoding × 207
continuous-data × 191
correlation × 188
ordinal-data × 181
hypothesis-testing × 167
interaction × 165
statistical-significance × 140
classification × 137
binary-data × 123
generalized-linear-model × 119
many-categories × 114
clustering × 103
spss × 94
anova × 90
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interpretation × 89
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dataset × 84