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

learn more… | top users | synonyms

0
votes
0answers
15 views

Is there a way to calculate inter-rater reliability (e.g. AC1 or Krippendorf's) for individual items when using nominal (categorical) data. [duplicate]

I am trying to generate a chance corrected measure of inter-rater reliability to assess items in a measure I have developed. I have agreement data from 25 expert judges. The measure assesses emotion ...
1
vote
1answer
30 views

what am i supposed to do if realiability test not up to 0.7?

hye. i have gathered 147 questionnaires with 39 variables the requirement for my research department need me to make the reliability test up to 0.7 or else it consider not reliable. i have tried ...
0
votes
0answers
7 views

Analyzing nominal response data which differs on more than one dimension?

I'm a bit stuck on how to analyze my dataset and thought I'd ask for some help. I've got a background in social science stats, but this has been bugging me for a while and am unsure of how to proceed ...
3
votes
3answers
100 views

k fold cross validation: nominal predictor level appears in the test data but not the training data

I wrote my own cross validation function for model output in R (lm, glm and so on; named ...
1
vote
0answers
14 views

Tests for ranked nominal data

I badly need help with the following problems. In my questionaire I asked respondents to name the three most important priorities (in order of importance) in connection with a specific area of life. ...
0
votes
1answer
17 views

Nominal or Ordinal [duplicate]

When looking at a statistics hypotheses such as, Suicide will be supported when faced with a terminal illness just at letting one die? When looking at surveys it was a yes/no question. Does this ...
0
votes
0answers
27 views

Visualization of categorical data with too many categories

When dealing with data visualization, is it possible to produce a good graph from a table that has categorical data with too many levels and none of the levels have a reasonable amount of entries ...
0
votes
0answers
6 views

Analysis of dataset from semiquantitative pcr

I am doing my master thesis and i need to analyse results from semiquantitative pcr. I have 2 regions that i amplified and for each region i have 3 replicate measurements. I want to see, for example, ...
0
votes
0answers
24 views

SPSS - Correlation between ratio (age) and a nominal choice (A or B)

My project group and I have conducted an A/B test for a class on our university. The respondents were asked to fill in their age and had to choose between two options: Design A or Design B. I want ...
0
votes
0answers
17 views

How can we deflate nominal export values?

I want to deflate my nominal export values by import value index. But I am little bit confused mood. my other all series gdp and real exchange rates are 2010=100 so do u have any formula for it? <...
0
votes
0answers
51 views

Categorical Principal Component Analysis

I am planning to perform a Categorical Principal Component Analysis, I have 14 variables with categorical ordinal data (from a 5 point likert scale) and one variable with categorical nominal data. ...
0
votes
0answers
14 views

Correlations between nominal data with multiple options

I would like to investigate which genetic variations appear with a higher frequency on one (left OR right) or both sides of a tumor (left AND right) within an array of different patient samples. <...
5
votes
1answer
138 views

Where in Elements of Statistical Learning does it talk of a “trick” to deal with categorical variables for binary classification?

I've struggled to deal with categorical variables in Random Forests, for binary classification. Between 8:15 and 9:30 in this instructional video, it talks of a "clever trick". It says the trick ...
0
votes
1answer
62 views

Nominal/Ordinal and scale in SPSS OLS regression

I'm running an OLS regression in SPSS and have a question about models that feature both Scale and Nominal/Ordinal variables. I say nominal/ordinal because the variables I'm looking at range from 0-2, ...
1
vote
0answers
34 views

Does value difference metric assume independence?

Value difference metric is a distance measure for nominal attributes. It is used in classification problems. According to this metric, the distance between two points $x$ and $y$ is calculated as ...
0
votes
2answers
26 views

Clustering of binary/nominal variables in one sample

Assume that a medical school classifies its active, full-time students according to their free time activities. By distributing simple questionnaires individuals have to answer whether or not they're ...
4
votes
0answers
30 views

Correlation among nominal variables

I have a small group of 27 patients bearing a total of 2700 cancer polymorphisms (gene variations of one nucleotide) which can be divided to almost 60 genes. That gives me a 60x27 table where it can ...
2
votes
0answers
146 views

What to do with categorical data when calculating standardized z-scores?

I have numerous environmental variables I'd like to correlate to some tree species data. The environmental variables vary greatly in scale, so I'd like to standardize each by calculating standard z-...
0
votes
1answer
54 views

How to solve multicollinearity in OLS regression with correlated dummy variables and collinear continuous variables?

I have predicted an ecological variable using OLS regression which showed the model accounts for more than 72% of the variance in the dependent variable (DV). However, I am also interested in which ...
0
votes
0answers
31 views

test for nominal variables with repeated measures

I have two nominal (logit 0,1) variables x1 and x2 which comes from two different questionnaires. These questionnaires have been completed by two different groups. To test the difference between x1 ...
0
votes
0answers
32 views

Analysis method for nominal dichotomous data from mixed design

I have the following data set (example): Subject Treatment-group Decision_x Decision_y Decision_z 1 1 A B A 2 1 B B ...
0
votes
0answers
8 views

Any statistics analysis for temporal nominal data with apparently no changes?

I got a set of data of 20 replicates repeatedly sampled (for 4 times in 4 seasons) to obtain nominal data (in form of types of certain feature they posses) . The only independent variable is time (...
0
votes
0answers
19 views

Repeated measures with ordinal predictor and nominal outcome

My data are repeatedly collected over time, at year 0, year 1 and year 2 (three measurement points). For each subject, I have a predictor of interest which is ordinal with 6 levels, a dependent ...
0
votes
1answer
98 views

Categorical IV and DV, each with more than two levels

I’m looking for a statistical test, but having difficulty finding an analysis that fits all the conditions of the data. My IV and the DV are categorical, each with 3 levels. For the IV, the ...
0
votes
0answers
16 views

Probability that sample distribution of nominal variables came from the population

I received a list of approximately 500 social security numbers that I noticed tended to start with a certain number. I plotted the distribution of the numbers over the population of several million it ...
0
votes
1answer
34 views

Ordered response with nominal predictors

I have a data set with ordered response variables (ten levels) and nominal independent variables (sex, year of birth, educational background etc. of the participants in a questionnaire). How do I ...
0
votes
0answers
27 views

Regression with many nominal explanatory variables

I am trying to build a main effect logistic model (binary outcome) and have about 40 nominal (levels 0,1,2) and 3 continuous explanatory variables to pick from to build my model. There are about 500 ...
-1
votes
1answer
31 views

What type of data is this?

I am doing an analysis on the unit sales of mobile phones. There a two categories of phones that I am comparing, the first is iphone 6 and the other is samsung S6. Now I have different models in each ...
3
votes
1answer
248 views

Cohen's d from regression coefficient?

Is it appropriate to calculate Cohen's d (effect size) from the regression coefficient of an independent categorical variable? My coefficient represents participation in an intervention (treatment ...
4
votes
2answers
268 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, ...
0
votes
0answers
171 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 ...
0
votes
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 ...
0
votes
0answers
15 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
votes
0answers
22 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
votes
0answers
152 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
votes
0answers
111 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 ...
0
votes
0answers
49 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) ...
0
votes
1answer
71 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
votes
0answers
30 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 ...
1
vote
0answers
25 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: "1:...
2
votes
1answer
51 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 ...
0
votes
0answers
41 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 ...
0
votes
0answers
88 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 ...
0
votes
0answers
21 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?
2
votes
1answer
71 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
votes
1answer
255 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
389 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 ...
1
vote
0answers
80 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
votes
3answers
55 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 ...