Involves an unordered, categorical variable, observations of which designate group membership, and generally not quantitative information.

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29 views

Correlation between quantitative and qualitative variables

I have a dataset composed by 5000 observations. Each observation contains the income per year of a person (from 50 to 50.000.000) and the fact of having a car (yes/no). I would like to check if a ...
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1answer
34 views

Linear regression on grouped data

I'm new in stats..I hope to write something that makes sense. I have a sample composed by 200.000 projects, each project is defined according to its size (S) and the presence of active users (U). The ...
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0answers
18 views

clustering variables of mixed types in R

I need to analyse questionnaire survey data with mixed data types (nominal, ordinal, continuous). I want to cluster the variables. So far I only have dead ends. I know I can use daisy in the ...
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0answers
24 views

Checking if improvement is significant. Test design

I have designed two simple tests to check my algorithm. For a set of 40 pictures, 20 people will judge if: Test 1: Object A or B is seen in the picture (i know the correct answer) Test 2: Object A, B ...
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2answers
55 views

how to deal with nominal variable with too many levels

Hi currently Im trying to modeling a response variable y, and i have zip code as my independent variable, my model is logistic regression. when come to nominal variable, the text book method is to ...
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2answers
31 views

How do I explain correlation for my study proposal?

I am doing a study proposal for a project that looks at two different measures for evaluating the presence of a health condition, one clinical exam one diagnostic exam. the clinical exam will be ...
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0answers
33 views

Distance between nominal vectors: a review

I have a seemingly easy question which however is troubling me a bit. I have couples of vectors made up of nominal attributes. They can be of different length and sometimes some of the attributes in ...
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0answers
14 views

Decision trees: nominal values unseen at training time

What is the best approach to deal with unexpected nominal values, unseen by decision trees at training time?
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1answer
44 views

Non-parametric statistical test with one measurement variable and two nominal variables

I have the following data: feces density of a carnivore species subdivided according to sex. I am looking for appropriate test suggestions. I have calculated the density according to main habitat ...
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1answer
61 views

Accuracy and area under ROC curve (AUC)

If we group examples with and without class labels using clustering techniques by treating the class as an ordinary nominal attribute, the resulting clusters can then be used for classifying test ...
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1answer
64 views

Confidence Interval for ratio (response time 2 / response time 1)

We have a population of n=1000, nine binary responses (0 symptom absent, 1 present), and 2 timepoints. Note that some of the responses are heavily skewed, only 1% of the subjects are in the "symptom ...
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1answer
45 views

How to measure association of nominal values for few observations?

I have a sample with 181 observations. I measured two nominal variables for each observation and now want to calculate the association between the two variables. The problem is that one variable has ...
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0answers
18 views

Correlation between ordinal variable an nominal variable [duplicate]

I want to find correlation between job satisfaction (by likert-type questionare) and sex. Should I use Kruskal-Wallis test to find correlation between two?
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0answers
27 views

What analysis should I perform? [duplicate]

What analysis should I perform if I am trying to find if there is an association between socio-demographic variables and my dependent variables. All my variables are categorical nominal. Also I am ...
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1answer
133 views

Correlation among categories of categorical nominal variables

I have a data set with two categorical nominal variables (both with 5 categories). I would like to know if (and how) I am able to identify potential correlations among categories within these ...
2
votes
2answers
427 views

Correlation coefficient for non-dichotomous nominal variable and ordinal/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 ...
2
votes
2answers
52 views

Shall I treat vegetation group as an ordinal or nominal variable?

As a follow on from here: Correlation between vegetation and erosion, I am having some trouble with the type of data that I have. I am confused as to whether my four categories are ordered. ...
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1answer
97 views

Questions about nominal data

Can nominal data have uncountably many values? Are categorical data the same as nominal data? Are discrete data the same as nominal data? Thanks!
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1answer
781 views

Should Likert scale measures be treated as interval, ratio, ordinal, or nominal? [duplicate]

Forgive me, I am forgetting my basic statistics.
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1answer
84 views

Can test a hypothesis with only nominal variables?

I have a hypothesis such as "People consult internet before making a purchase decision" for a thesis research. In order to test it, I created a game where people had the option to consult "internet ...
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1answer
47 views

Need help selecting test for nominal IV with categorical DP

I am going to attempt to give you as much background as possible. My independent variable is nominal and describes the number of days after which an insect was exposed to new conditions (0,1,3,5,7). ...
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1answer
143 views

Can all methods made for certain level in measurement hierarchy used at all higher levels?

Let's say there's a measurement hierarchy for discrete variables, that looks like nominal (grade pass/fail) < ordinal (grade A/B/C) < interval (grade 90-100; 80-89; 70-79, etc). Hierarchy is ...
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1answer
68 views

Not sure whether to treat my data as nominal or scale

The data I have is based on percentages. I have several variables on percent of children that have been immunized. So one column that is one kind of immunization, and is ordered by state. So for ...
0
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1answer
230 views

Linear regression between nominal and ordinal variables? [duplicate]

I have a data set that lists every country in Africa, what their main contribution is to their GNI (industry,agriculture, etc), their GNI, and whether or not they have access to the sea. I need to ...
2
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1answer
303 views

What is the optimal distance function for individuals when attributes are nominal?

I do not know which distance function between individuals to use in case of nominal attributes. I was reading some textbook and they suggest Simple Matching function but some books suggest that I ...
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2answers
4k views

How do I find correlation measure between two nominal variables?

A survey was made where people chose what they use a certain smiley to represent and entered their country of origin. I have recoded the text responses to numeric. What form of analysis should be ...
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1answer
110 views

How to check dependency on nominal variables?

I have data that map one real (float) and several nominal arguments to one real value: y = f(r, n1, n2, n3, n4) If I check dependency of ...
2
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1answer
164 views

Comparing two nominal-scale response distributions

I have data from an experiment that consist of nominal-scale responses that subjects made in two treatments (the treatments are between subjects, not repeated measures). I've provided my data in data ...
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1answer
193 views

Nominal data multiple regression analysis

I have been given the following data and am supposed to build a multiple regression model to be able to predict the price of a car: Price of Car - SPSS Measurement = Scale Mileage of Car - SPSS ...
2
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1answer
458 views

Changing attributes from nominal to binary

Reading this book, I found the following description regarding model trees for numeric prediction, in which nominal attributes are transformed to binary attributes. Before constructing a model ...
2
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1answer
455 views

Variance of nominal variable?

Note that the only measure of location in nominal variable is mode. Is there also any measure of variance? Obviously, some nominal features are more different than other (color of eyes vs. presence ...
3
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0answers
175 views

Can I include nominal predictor variables in ordinal regression?

I am in the process of performing ordinal regression on a large data set that measures different types of variables (nominal, ordinal, continuous). My outcome variable is ordinal, hence the ordinal ...
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1answer
107 views

“autocorrelation” of nominal variable

I have data on patients attendance of a series of sessions of counseling. At each session, a patient could be A, S or D. Each patient has data for 12 sessions, and there are ~100 patients. I am ...
4
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2answers
186 views

Are all attributes/data points inherently nominal?

I'm trying to design a statistics package in .NET, and I'd like to apply object-oriented design principles to some of the data structures that I'm developing. As I look through sample data sets for ...
2
votes
1answer
305 views

What is the level of measurement of image data?

Question: This is a bit of an abstract question, but bear with me. I am averaging images, to try and deduce what the average image of a specific subject looks like (just out of curiosity, it might ...
2
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1answer
220 views

Are all ordinal attribute types nominal?

I'm currently writing a .NET library to handle various statistical/classification tasks and I am currently writing the structures to represent nominal and ordinal data. In doing so, I've been ...