Linked Questions

0
votes
1answer
251 views

correlation between a continous variable and categorical variable? [duplicate]

I have a large data set with several columns. One of columns are continous and another one is categorical. Can you find the correlation between those columns?
0
votes
2answers
207 views

Correlation between continuous variable and nominal variable [duplicate]

I have a data set with the amount of bicycle accidents and the year in which the bicycle accident occurred. I would like to see if there is a significant increase in the amount of bicycle accident per ...
0
votes
0answers
118 views

How to correlate scale and nominal variables in SPSS? [duplicate]

I want to run a test in order to identify if there is any correlation between the length of in-hospital stay (Scale) and the kind of the procedure (Nominal with three options; abdominal, cardiac and ...
0
votes
1answer
19 views

Correlation between occupational status and knowledge [duplicate]

I'd like to correlate such variables as: X- 1.Unemployed, 2.Student, 3.Employed, 4.Pensioner Y- Knowledge marked as points from 0 - 16. I want to see if any of these groups have tendency to score ...
123
votes
6answers
233k views

Correlations with unordered categorical variables

I have a dataframe with many observations and many variables. Some of them are categorical (unordered) and the others are numerical. I'm looking for associations between these variables. I've been ...
39
votes
1answer
334k views

How to interpret and report eta squared / partial eta squared in statistically significant and non-significant analyses?

I have data that has eta squared values and partial eta squared values calculated as a measure of effect size for group mean differences. What is the difference between eta squared and partial eta ...
19
votes
5answers
31k views

How do I study the “correlation” between a continuous variable and a categorical variable?

What's a meaningful "correlation" measure to study the relation between the such two types of variables? In R, how to do it?
14
votes
3answers
6k views

Why is correlation not very useful when one of the variables is categorical?

This is a little bit of a gut check, please do help me see if I'm misunderstanding this concept, and in what way. I have a functional understanding of correlation but I'm feeling a little grasping-at-...
10
votes
2answers
14k views

Correlation coefficient for non-dichotomous nominal variable and ordinal or numeric variable

I've already read all the pages in this site trying to find the answer to my problem but no one seems to be the right one form me... First I explain you the kind of data I'm working with... Let's ...
1
vote
1answer
28k views

Correlation between numerical and categorical data in R [duplicate]

I have a dataset with over 20 variables. Some of them are numerical and some of them are categorical: ...
2
votes
0answers
10k views

How to compute the correlation between a qualitative and a quantitative variable? [duplicate]

My study is about the correlation of the person's gender and his or her score in a questionnaire about gender stereotyping. The higher the score in the questionnaire means he or she gender stereotypes ...
0
votes
1answer
3k views

Correlation between two Likert items with a non-monotonic relationship

One of the assumptions for Spearman correlation is that there is a monotonic relationship between the two variables. I've created a scatterplot for two Likert item variables, but it seems impossible ...
2
votes
1answer
3k views

Spearman's rho for nominal / metrical data [closed]

Can Spearman's rho be used to calculate correlations between nominal (i.e., locations such as 1 = City1, 2 = City2, 3 = City3) and metrical data (i.e., revenue generated in US dollars)? I also heard ...
1
vote
1answer
837 views

How level of measurement help us in selecting correct type of correlation

How level of measurement help us in selecting correct type of correlation
6
votes
1answer
349 views

What measure of effect size in ANOVA has mode at zero under the null (unlike $\eta^2$ that does not)?

I encountered a weird effect when computing eta squared in ANOVA. Here is a short simulation to demonstrate it. I simulate $k$ groups with $n=10$ each, with all values drawn from standard normal ...

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