Linked Questions
21 questions linked to/from Does it ever make sense to treat categorical data as continuous?
74
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7
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1.1m
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What is the difference between discrete data and continuous data?
What is the difference between discrete data and continuous data?
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42
votes
1
answer
45k
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Is there Factor analysis or PCA for ordinal or binary data?
I have completed the principal component analysis (PCA), exploratory factor analysis (EFA), and confirmatory factor analysis (CFA), treating data with likert scale (5-level responses: none, a little, ...
- 463
31
votes
4
answers
83k
views
Predicting with both continuous and categorical features
Some predictive modeling techniques are more designed for handling continuous predictors, while others are better for handling categorical or discrete variables. Of course there exist techniques to ...
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9
votes
5
answers
24k
views
Is 0 a valid value in a Likert scale?
I have carried out my pilot study on language learning motivation using a 6 point Likert scale but from 0 (strongly disagree) to 5 (very much agree). I noticed a colleague in his survey used 1 to 6. ...
- 91
12
votes
2
answers
10k
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Quickly evaluate (visually) correlations between ordered categorical data in R?
I'm looking for correlations between the answers to different questions in a survey ("umm, let's see if answers to question 11 correlate with those of question 78"). All answers are categorical (most ...
11
votes
2
answers
10k
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Is ordinal or interval data required for the Wilcoxon signed rank test?
Having looked at multiple online sources, I can't seem to get a straight answer. Could someone please clarify for me if ordinal data is sufficient to use for the WSRT and if not, is the sign test an ...
- 111
10
votes
2
answers
760
views
Best practices when treating range data as continuous
I am looking at whether abundance is related to size. Size is (of course) continuous, however, abundance is recorded on a scale such that
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- 675
4
votes
1
answer
4k
views
Data transformation for Principal Components Analysis from different Likert scales
I have data from a survey comprised of several measures that used different Likert-type scaling (4-, 5-, and 6-point scales). I would like to run a principal components analysis using the data from ...
- 71
10
votes
1
answer
4k
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How can I use optimal scaling to scale an ordinal categorical variable?
In an answer to this question about treating categorical data as continuous, optimal scaling was mentioned. How does this method work and how is it applied?
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2
votes
1
answer
3k
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How to determine whether a set of data are qualitative or quantitative?
Assume a data set with multiple columns, where the categorical data are coded. What is the best rule(s) or rule of thumb to determine whether each column contains qualitative data or quantitative data?...
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1
vote
1
answer
3k
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Can I interpret mean difference on a Likert scale as a percentage change
I have pre-test data showing a mean of 3.71 for work-stress (7 point likert scale).
My post-test data shows a mean of 3.24 for work-stress (same 7 point likert scale).
Paired sample t-test is ...
- 13
-1
votes
1
answer
964
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Non-normal distribution in anova - a big problem or not
Please don't close my question, it really is not a duplicate, no other answer on this forum is relevant to my case. Also, I have been advised that if I submit the spss output of my non-normally ...
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2
votes
1
answer
2k
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Why does SAS Cochran-Mantel-Haenszel seems different than others?
I've been asked to compute a Cochran-Mantel-Haenszel (CMH) Test on 2 variables :
one is an ordered factor from quantiles of a numeric value ("Q1", "Q2", "Q3", "Q4")
the other is an unordered ...
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3
votes
3
answers
226
views
Are the variable types here considered correct?
If we want to determine the variable types, will it be as follows for the below variables?
Age ---> quantitative, discrete (...
- 545
2
votes
3
answers
355
views
Can some variables be ordinal or interval/ratio, depending on the context?
I believe that some variables can be interval/ratio or ordinal based on the context. I'd like to know people's opinion on this. Let me explain:
Class variable with categories Freshman, Sophomore, ...
2
votes
0
answers
847
views
Performing comparisons after a cluster analysis
I have a data set of about 40 subjects, and 10 variables, some measuring performance on a task, and some measuring some characteristic. Each of the performance variables consists of the proportion of ...
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1
vote
1
answer
587
views
Does treating trial number as a continuous variable for linear models lose information?
If I create a linear model where Trial number is one of the predictors, am I losing any information by treating it as continuous (when in fact it is actually discrete + ordinal)? I believe the answer ...
3
votes
1
answer
617
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Should an ordinal variable in an interaction be treated as categorical or continuous?
I have an ordinal categorical variable (A, with 3 categories). There are 2 ways to include it in a regression model: 1) as a factor or as 2) a continuous variable.
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2
votes
2
answers
287
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Is this variable ordinal, interval data or discrete?
We asked people to evaluate their skills in different fields with this kind of question: " On a scale from 1 to 5, how would you qualify your skills in Field A, with 1 been 'Not skilled at all' and 5 ...
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2
votes
0
answers
239
views
How must one handle ordinal independent variables when modeling interactions?
Suppose I have two independent variables, X1 and X2. X1 is binary--coded as 1 or 0. ...
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1
vote
2
answers
139
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Dimension Reduction and Clustering on Big Dataset
I am currently working on a marketing analytics project and my dataset is rather large: 400K rows and 70 features which contains both continuous and binary variables.
I've tried using PCA and ...
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