Categorical data can take on a limited (usually fixed) number of possible values called categories. Categorical values "label", they do not "measure". Nominal and dichotomous/binary scale types are categorical. Some people consider ordinal scale categorical too.

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7 views

What are word components in IAM db3 for xml

I'm using the IAM handwritten database and for the answer keys I get the hierarchy, however I'm confused about word components in the the handwritten section. Specifically seeing something like this ...
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11 views

advice in identifying populations of overlapping groups

I just finished collecting details from a survey for my MSc thesis. In total I got about 40 multiple questions. All of the captured variables are categorical. That is, there are no quantitative data. ...
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1answer
11 views

Confidence measure/statistic for inferring a category with random independent sampling

Suppose there's a group of dogs and a set of people A,B,C,D. If I know that, in this hypothetical scenario, the person who owns the dog is the person who walks it ...
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1answer
21 views

Coefficients of Categorical P-Values in Regression - Condense or Apply 0?

This analysis is part of a much larger research project, but I've extracted a simple example that will fit the question I have. Y = B0 + B1 * [Day of Week] + E Day of Week is coded as 1 (Sunday)-7 ...
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0answers
18 views

Sampling correlated categorical variables

I am looking for a way to sample correlated categorical (non-binary) variables, and in particular I am interested in the category counts: I have a set of $n$ correlated categorical random variables ...
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1answer
427 views

What is this diagram called

Can anyone tell me what is the name of this type of diagram ( if any )? Also can anyone suggest any tools, however simple, to plot such a diagram?
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1answer
30 views

How can I check whether multicolinearity exist between categorical variables or numerical and categorical variables?

I did a linear regression with 10 variables, including categorical and numeric variables. But although my $R^2$ was 0.8 there were only 2 variables that were statistically significant. Am I correct ...
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0answers
13 views

scaling coefficients in a regression

this might be a relatively beginner question: Using a multiple regression, say I was testing the explanatory power of a model that had a normal coefficient but also a scaling coefficient based on ...
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1answer
19 views

Linear regression with interaction SPSS

I have to run a linear regression analysis with an interaction effect of two categorical variables: Modality (audio, visual and audio-visual) Repetition (1x, 2x and 4x) I have already dummified ...
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1answer
35 views

Comparing mean difference of categorical variables

I want to check if attrition is a problem. So I want to check if the mean of people who dropped out from a survey is significantly different from the mean of those people who took part. However, the ...
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1answer
25 views

Proportional odds logistic regression with nominal (unordered) categories

Suppose that you've got a logistic regression with multiple nominal outcomes that cannot be ordered in a theoretically meaningful way. Assume further, however, that the proportional odds assumption ...
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0answers
9 views

Best subset selection with categorical data

I am studying a dependent variable Y with 4 predictors: 2 of them are categorical (with 6 and 7 levels) and 2 numeric. I have used the best subset selection for ...
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0answers
2 views

How to test whether correlate personality ratings with behavioural observations

I'm running a study to test whether personality (Big Five) predicts problem solving in children (N=200), and was wondering whether anyone could help with the best approach for analysis. I've collected ...
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26 views

Automatic identification of numeric vs categorical variable

I am trying to build an automatic data preparation pipeline. One of the capability which I want to include is the ability to tag a variable as Numerical or categorical. Currently the idea I have is to ...
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0answers
14 views

Matching data in excel based on certain words [migrated]

I am compiling a data base on Tennis players for a college project. I have two spreadsheets with lots of relevant information, one with performance related statistics for every ATP match played over ...
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0answers
45 views

What statistical approach to use for this kind of analysis?

I have 1 dependent (continuous) variable, 3 explanatory (continuous) variables and a bunch of control variables. The explanatory variables are my interest variables.I want to do a categorical ...
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0answers
14 views

Classifying treatment levels as categorical or continuous

I am running a GLMM where one of the independent variables is treatment in terms of pesticide concentration, with four levels: 0ppb, 4.8ppb, 20ppb and 133ppb. I am unsure whether to class this ...
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0answers
11 views

removing the effect of a categorical variable in a linear model

I would like to remove the effect of a categorical variable from a linear regression model. A simple example could be the following: outcome ~ beta0 + beta1 * dummyIsFemale + beta2 * ...
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1answer
24 views

can I use age and year fixed effects at the same time?

I have an unbalanced panel dataset. I want to know the effect of the RS on log income. I put year dummies and PMSA dummies in the regression. Should I also control age here? (Different individuals ...
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1answer
18 views

Simple effects of categorical interaction

I have two two-level categorical variables, IV1 and IV2. I want to fit a linear model in R and find out the simple effect of IV1 on the DV at each level of IV2, separately. I'm not interested in the ...
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0answers
10 views

3 categorical variables (2 are repeated measure variables) and 1 continuous variable - what analysis?

I originally ran a 2(inclusionary condition)x2(interaction with close other vs stranger)x2(time of pain measurement-repeated variable) mixed manova with 2 dependent variables(physical pain ...
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2answers
53 views

Logistic Regression - Dummy and Numeric variables together

I am trying to build a logistic regression model. I have some categorical variables for which I have created dummy variables (eg. Department). I also have some numeric variables like Age and Tenure. ...
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0answers
10 views

Sparse Categorical predictors with Categorical Response

I have a huge set of sparse Categorical predictors (500+) and a binary response variable, Dataset is mostly sparse. I tried using Random Forrest with very little success. Any suggestions?
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10 views

From gam {gam} to gam {mgcv}: Categorical data [closed]

My model (below) worked well in the gam package, but gam doesn't have as many options as the updated ...
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3 views

Profiling survey respondents with both categorical and ordinal variables

I have a mixture of categorical and ordinal variables from a survey that I am trying to use to create "profiles" or segments that differ from one another with respect to a dependent variable (the ...
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0answers
18 views

What is an alternative to Regression Discontinuity if the forcing variable is dichotomous?

We conducted a pilot study where we used a validated scoring instrument to test for self-reported depression. The instrument does not have a quantitative cut-off, though- it's more to the effect of ...
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27 views

Applying logit transformation to the predictor variables in multiple linear regression [closed]

I want to do multiple linear regression (Not a logistic regression) with continuous response, and a mixed of continuous and categorical variables in the predictors / regressors. I know that we can do ...
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1answer
66 views

Train a Neural Network to distinguish between even and odd numbers

Question: is it possible to train a NN to distinguish between odd and even numbers only using as input the numbers themselves? I have the following dataset: ...
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28 views

marginal effect of dummy variable in tobit model

I have a tobit regression model in hand and I want to calculate the marginal effects at means for the dummy variables in the reg equation. There are two dummy variables in the regression equation and ...
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0answers
23 views

Test for differences in frequencies of categorical variable with multiple responses

Background Interviews with two groups of therapists were conducted: experienced therapists and inexperienced therapists. Each statement of the interview was classified into 9 different categories. ...
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1answer
25 views

Interpretation of regression output with multiple binary IVs

I'm confused about the output for a multiple regression model that uses ONLY binary independent variables. The dependent variable is continuous. The data looks like this (first 6 rows): ...
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15 views

Regression with several dummies VS one variable with several d.f

I am running a GLM model regressing a score of innovative agricultural practices using a sample of 1200 farmers. Data has been collected in 18 site, so it seems important to include 17 dummies as ...
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13 views

Logarithmic offset + Scaling Counts + Multiplying by Scalar + Poisson Regression

I am working with a contingency table where I know that the population sizes from which the counts are derived are very different. From what I have been able to gather, an appropriate way to adjust ...
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1answer
45 views

How to interpret the output of Generalised Linear Mixed Model using glmer in R with a categorical fixed variable?

I have computed GLMM using glmer in R. My response variable is species richness and my explanatory variable is grazing treatment (with three categories: cattle, sheep and ungrazed). In the model I ...
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0answers
21 views

How to test the correlation between categorical and continuous variables? [duplicate]

What test do I need to use if I want to know if there is association between a categorical and a continuous variable?
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0answers
10 views

Regression with many discrete and continuous predictors and few rows

I want to do regression on a dataset. It has one continuous dependent variable that I want to predict. It has many categorical and some continuous predictors. It only has a few rows. A simplified ...
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19 views

Statistics for Survey/Research: N subjects, 4 Rational Numbers, 16 Yes/No questions

I am conducting a survey/test on different people. Let's say I have N subjects I administer them a test with two parts which they are scored as pass or fail (1 or 0) Then I ask them some ...
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35 views

Q: How to correctly include a categorial control variable in a regression model (in R)?

I'm trying to fit a (logistic) regression model to predict the successful funding of crowdfunding ventures (0/1) based on a series of IV with different level of measurement. One of these IVs is a ...
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2answers
81 views

Why does an insignificant regressor become significant if I add some significant dummy variables? [duplicate]

I'm doing a linear regression with cluster robust SE and I have the following conceptual problem: I have five regressors, of which four are statistically significant, while the remaining regressor is ...
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13 views

How to incorporate characteristics of the object of outcome variables as predictors in model

I'm working with survey data for a social science research topic. The particulars aren't super important, so I'll use a simplified version to make it easier to understand what I'm trying to do. I say ...
3
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1answer
37 views

Time dependence and cumulative logit regression question

I'm looking to do some research with the GSS (the General Social Survey; a survey that asks over a 1000 people every year various questions and collects their demographic information as well). I'd ...
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3answers
162 views

Is nominal, ordinal, & binary for quantitative data, qualitative data, or both?

I'm getting wrapped around data types and I need some help: If you look at the picture above (taken from here), it has the data types like this: Quantitative (Discrete, Continuous) Qualitative ...
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0answers
31 views

What is the best way to test normality for a very large sample size 15000? [duplicate]

Also do I need to test the normality for the categorical data? Thanks
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2answers
86 views

Is there something called “mean coding” (like dummy coding & effect coding) in regression models?

When we perform a regression analysis with categorical predictors, we can use (1, 0), called "dummy coding". The coefficients in this case represent the deviation of the groups' means from the mean of ...
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0answers
21 views

bias of an estimator when the variable is categorical

I want to calculate the bias of the coefficient estimate (beta hat) in Cox regression. But for a categorized variable, for example using quantiles we define a variable with 4 categories, then the ...
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0answers
21 views

Comparison of categorical percentages

I apologize if this has been asked, but I couldn't seem to find an answer anywhere. I have two sets of data. Each is made up of 5 categories. These categories are ordinal as they are a 5 point ...
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0answers
18 views

Multinomial logistic regression on categorical data results in singular matrix

I have a categorical dataset from a biological sampling study consisting of six variables, see http://pastebin.com/ncLzw0Mt for the actual dataset. ...
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0answers
10 views

Feature selection for all categorical classifiers

This is my first question on Cross Validated. I am trying to reduce the dimensionality of my high-dimensional (m = 1.5M) but small-sample size dataset (n = 7K). Characteristic is that all ...
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0answers
29 views

Clustering using gower distance in R [migrated]

I have a dataframe which has categorical and numeric variables. I want to cluster this data using gower distance and get cluster values as a vector as in kmeans function. How can i achieve that?
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0answers
9 views

Binomial Logistic regression to Compare results of multiple methods to a known value

I have a "known value" (recorded by a field observer) which I want to compare several methods of data collection with to test for significant differences between methods. Methods: 2 points along a ...