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

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1answer
49 views

Can binary data be ordinal?

Binary data is often mentioned as a nominal sub-category, especially in such examples as female/male, smoker/non-smoker, etc. However, binary data with such values as pass/fail, correct/incorrect, ...
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0answers
22 views

Relationship numerical and categorical multiple response sets in spss

The situation is the following, I have two sets of data: one numerical set of data (answer to the question "How important is this to you?" 1=little, 2= medium, 3= very) one set of categorical ...
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0answers
7 views

How can I make a correlation in SPSS about variable 1: discrete data (amount of people), and variable 2: nominal data (white, black, hispanic)? [duplicate]

I have 3 variables: var1: sex; var2: amount of people; var3: race (white, black, latino, etc). My population data is already coded. How can I establish a correlation between sex and race; or amount ...
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0answers
10 views

Regressing multiple categorical variables with a continuous variable

For some research I'm doing, I want to see if fish color variation correlates with vegetation type across lakes. I have frequency data for vegetation type (16 levels) at each lake (8 lakes). I have ...
0
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0answers
19 views

how to find an association between nominal and ordinal data? [duplicate]

I have a data of diabetic patient and i want to find any association between their their knowledge, attitude and practice with other variables (around 50) like their gender(dichotomy), type of ...
2
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0answers
28 views

How to analyze my repeated measures data?

I have data on 200 subjects with baseline data and follow-up data after 1 and 2 years. The dependent variable is nominal: whether each subject lives at home, has passed away or lives in an institution ...
2
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0answers
43 views

Nominal or ordinal?

I've got several variables in a dataset of which I'm not really sure what type of data they are: nominal or ordinal. Context: the variables are part of a dataset in which each case a student. Of ...
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0answers
21 views

Determining significance of change in a categorical variable following intervention

I'm currently stuck and could do with some help. I'm designing a study to assess change in a categorical variable following intervention. Specifically I'm looking at change in attachment style (AS) ...
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0answers
12 views

Is Eta a good way to calculate a relation in between interval and nominal variable using cross tabulation?

I need to figure out if the topic of an application (nominal variable with 6 categories) is associated with a certain skill category (I have 3 skill categories represented by 3 variables with interval ...
0
votes
1answer
57 views

Variability Analysis for Nominal Variables

I have a very large datasets (billions of observations) made of multiple nominal categorical variables (nominal, not ordinal), and I want to outline the set of variables that accounts for the most ...
2
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0answers
28 views

Nominal/Categorical Data Set

I have a nominal data set of a sample(species) floating characteristic(vertical floating, horizontal floating, bottom horizontal, and etc.) over a period of time. im interested to study the most ...
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0answers
22 views

Diagram for spotting distributions, like “contradicting” results

Let's say we have two results that are related to each other: Result 1 was a questionnaire about food and had two options "I dislike Cake" and "I like Cake". The result is displayed as a ratio: ...
2
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1answer
31 views

How to process Binomial-Binomial data on SPSS for hypothesis testing?

There are 2 groups of 100 pregnant women: the first are malnourished and the second are well-nourished. A COHORT research is being done on them to determine if malnutrition is a risk factor for low ...
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0answers
28 views

Confusion Matrix: nominal vs interval

I want to evaluate my model with help of a confusion matrix. Which measure can I use to consider that my data is interval scaled (eg.:1,2,3,4,5,6,7,8,9,10) ? As I understand the Kappa measure is often ...
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0answers
8 views

Finding the differences for nominal data when each participant contributes to more than one cell in the frequency table?

Finding the differences for nominal data when each participant contributes to more than one cell in the frequency table. The point is that I don't have paired nominal data as it is in repeated ...
0
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0answers
42 views

Difference between treatments with binary outcome & sample size estimation - Stata

I have 20 binary outcome variables that I want to test for association with a nominal 'treatment' variable with 6 categories (a,b,c,d,e,f). For the outcome that is significantly associated with ...
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0answers
33 views

Transforming nominal attribute to binary for CART

I found the following description regarding model trees for numeric prediction, in which nominal attributes are transformed to binary attributes. Before constructing a model tree, all nominal ...
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0answers
15 views

Categorical data and different analyses

Why does categorical data have different tests? I know there are many tests for categorical data such as a crosstabs or Chi-Square but why does the data use different tests?
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23 views

How to test the inter-rater reliability of a nominal coding process that generates ordinal data?

A researcher studying hunger on a tropical island asks respondents, "What did you eat for lunch yesterday?" and the possible choices are "(4) Nothing; (3) a banana; (2) an unripe coconut; (1) a ripe ...
0
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1answer
78 views

3 categorical IV and 1 categorical DV — what test to use?

Here's my setup: Independent Variables (IV): (A) Task -- values 0 - 6 (order doesn't matter) (B) Viewpoint -- values 0 - 26 (order doesn't matter) (C) Input-device -- values {touchscreen, mouse, ...
0
votes
1answer
100 views

Economics: Real vs Nominal Variables

My economic analysis uses OLS with cross-sectional annual data. The dependent variables are defined as x/y where x is a variable (such as trade, debt etc.) and y is real GDP. What if, instead of ...
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33 views

How to enter cross-table data into R for nominal logistic regression? [closed]

I would like to conduct nominal logistic regression analysis using moltin R, but don't know how to enter the data below into R. Any advice?
2
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3answers
48 views

Stat test to use with nominal variables

I have a research question looking at whether one level of a nominal variable is more likely to elicit an action than another. We are using a control and experimental group so our IV is either ...
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0answers
14 views

What's the best stats to use for pre/post data?

I have 107 participants and had them do 2 lessons. Before lesson one, I asked 5 knowledge questions with true/false response for each. After the second lesson, I administered the same survey ...
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0answers
66 views

Which statistical significance test to use for nominal data collected from a within-subjects experiment?

I've collected some data from an experiment where I was evaluating a system. My independent variable had 4 conditions (call them C1, C2, C3 and C4). During the experiment, I asked six people to ...
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0answers
97 views

Can we combine two groups to enhance power for analysis if there are no group differences on the variables?

I am reading a peer-reviewed paper on psychology and found the author use pearson r on sex (nominal variable): The correlation table And then the authors conclude no gender difference on all ...
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289 views

Sample size for logistic regression with categorical independent variables

Trying to find a sample size for logistic regression I found a rule of thumb in http://www.medcalc.org/manual/logistic_regression.php I cite: Sample size considerations. Sample size calculation for ...
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0answers
15 views

which test for means of coded, categorical discussion forum posts?

I'm trying to wrap my head around this problem, how to state it formally for analysis (what kind of study is it) and which test(s) to run: I am comparing the content of 2 discussion forums (the study ...
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1answer
3k views

Correlation between a nominal (IV) and a continuous (DV) variable

I have a nominal variable (different topics of conversation, coded as topic0=0 etc) and a number of scale variables (DV) such as the length of a conversation. How can I derive correlations between ...
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0answers
35 views

How can mutual information be used in analysing a survey of categorical/nominal data?

I have data arising from independent surveys taken from at least 200 participants. In the survey there is a set of question of categorical and nominal types. I have no knowledge of the nature of the ...
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0answers
24 views

Variable types and level of measurement

I am trying to fit the different variables types and measurement levels into some logic, like a tree diagram, and I am not sure about some things. On one hand, you have quantitative variable vs. ...
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0answers
63 views

Excel correlate nominal and quantitative

I have the following test data: How do I correlate the "believes" with "before" to determinate if it affects the "after"? When believes is set to 1 the "after" will be (randomly) higher than when ...
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2answers
689 views

Is it possible for Cramer's V to be negative?

To my understanding, Cramer's V cannot be negative because of the way we define it. But here's what I got from SAS:
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2answers
356 views

Should types of data (nominal/ordinal/interval/ratio) really be considered types of variables?

So for instance here are the definitions that I get from standard text books Variable - characteristic of population or sample. ex. Price of a stock or grade on a test Data - actual ...
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0answers
22 views

Should IDs be nominal factors or text?

I am getting started with R. I imported by data and R decided that my ID attribute should be a factor. While technically correct, it feels misleading to me. An ID doesn't feel like a factor with ...
2
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0answers
66 views

Under what conditions should Likert scales be used as nominal data?

Similar to this question, Under what conditions should Likert scales be used as ordinal or interval data?, I am curious under what conditions should/could Likert scales be used as nominal data?
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0answers
151 views

Clustering on a data set with mixed variables

I have a data set consisting of $n$ elements with $d$ features for each element ($x_{i,f}$ means the value for the f-th feature of the i-th element). I would like to cluster this data set into $k$ ...
2
votes
2answers
100 views

Derivation of the Simpson index

I'm interested in the derivation of the Simpson diversity index. I found the normal interpretation of this index, but I'm not able to see what's the "mathematical background" of the formula. I read ...
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0answers
89 views

BUGS/JAGS for Nominal Response Model

I am a beginner with BUGS/JAGS and I was hoping to gather the opinion of you, experts. I am trying to implement a Nominal Item Response Analysis (Polytomous, not ordered, like a multiple-choice exam) ...
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vote
1answer
33 views

How to test for a critical mass - dummy variables?

Part of my thesis is to test where the critical mass lies. Let's assume that we want to test the influence of a certain ethnic group (x) on the performance of the whole group (members of ethnic group ...
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2answers
397 views

Should I use aggregate or disaggregate data?

I have this dataset of flows: ...
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2answers
2k 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 ...
2
votes
3answers
369 views

Linear regression on grouped data

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 values for $S$ are greater than zero; on the other hand, ...
2
votes
1answer
202 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 ...
2
votes
3answers
484 views

How to deal with nominal variable with too many levels?

currently I'm trying to model a response variable y, and I have zip code as my independent variable, my model is logistic regression. When it comes to nominal variable, the text book method is to ...
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2answers
52 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
80 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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vote
1answer
109 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
218 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
218 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 ...