When each respondent may select more than one response out of a list of responses. Multiple response data are usually entered as binary variables (called "dichotomous multiple response set") or as nominal variables ("categorical multiple response set").
Questions tagged [multiple-response]
15 questions
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Testing tuples of response variables
I'm struggling with comparing samples with multiple response variables, where such variables have a strict precedence or importance order. For the sake of this exercise, let's assume that each sample is a non-negative integer triple $(A, B, C)$.…

an_drade
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Testing a relation between a categorical variable and a muticategorical set
I have a dataset with two variables: the response variable is the use of a fish species as a food resource, and the explanatory variable is the profession:
Person
Profession
Use of fish
John
Fisherman
Often
John
Bus…

Arthur Filipe
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1
vote
1 answer
Analysing multiple-choice question with multiple answers
I recently ran an experiment with 4 conditions where participants got a multiple choice task to select words best describing a subjective sensation. Now I'm struggling to figure out which analytical method I should use. There was no limit to how…

mothos
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- 1
1
vote
1 answer
What method to use to determine the association between multiple choice question in a questionnaire and continuous value outcome
I have data from a questionnaire to determine the level of diabetic foot care knowledge (DFCK) among undergraduate Podiatry students. The DFCK (i.e. outcome) is a score based on the total number of the right answers given by the students for 25…

arshad
- 751
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1
vote
1 answer
Hypothesis testing - Which stat test to use with multiple choices (with both single and multiple responses)
I'm writing my master thesis but I have some problems with the analysis of the data collected using an online survey. The aim of the research is to assess if there are differences between two groups of travellers: students and workers.
In the survey…

Denisa
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- 4
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vote
0 answers
Modeling multiple outputs - one model or several
Recently at work I enter an interesting discussion that I thought could continue here and receive your output.
I'm trying to model some data that have as an output a categorical variable (let's say X). I'm using R H2O XGBoost (but not fixed on it).…

Diogo Santos
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How to convert a multiple response into single response data
I and my team collected questionnaire data on support for wind energy around a recreational lake. One question in the questionnaire identifies the different recreational activities of the respondents, for example, fishing, boating, swimming,…

Vand
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Standard errors for multiple response questions
I would like to use SE formula {SE=Sqrt(p*(1-p)/n)} to calculate SE for multiple response questions. For instance, for the question "what social media platform do you use? select all that apply" from 20 people, I got the these responses:
Facebook…

Khoaja
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0
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0 answers
Statistical test for CATA (check-all-that-apply - multiple response) question
A survey question asks to tick all options that are relevant to the users (Check all that apply). Respondents are given 6 options and they can tick as many as they want.
I want to determine which are the top 3 options.
I can sort the options by…
0
votes
1 answer
Analysis of multiple response/check all that apply survey data
I am helping to review a manuscript and suffering from mental block on some data analysis. The data in question is from a cross-sectional survey, a health care provider KAP (knowledge, attitudes, and practices) on vector borne diseases (Zika,…
0
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1 answer
RBM to predict multiple output continuous response
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I came across a paper where they are predicting GPA/Grades of different courses for a candidate using RBM.
My question is can we apply RBM for a problem where the output needs to be continuous and multiple?? like a students' score on different…

S.alam
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0
votes
1 answer
How to take advantage of the information/structure we have in the labels in multiple output regression?
I have a regression problem where each observation possesses a vector of features and 4 associated responses.
These responses, as in many problems are correlated. It would be nice to be able to predict them "all at once" in order to take into…

Tom
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0
votes
1 answer
How to cluster individuals based on a set of variables with multiple responses?
I collected data on foods that people avoid and the reasons why they do so via a questionnaire.
Here is an overview of the data:
participants eggs alcohol meat
1 p1
2 p2 vegan …

jeanphikri
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- 1
0
votes
0 answers
Significant differences between dichotomous multiple response variables
Kind people,
I want to measure if there is any difference in the use of newsframes in 198 news articles between the 9 countries who own nucleair weapons. I have created these frames with a factor analysis.
5 Dependent variables: score of each of the…

Stan
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- 1
0
votes
1 answer
How to test the effect of experimental condition on a "select all that apply" variable?
People are randomly assigned to participate in multicultural training (treatment) or a control activity. Weeks later, they are given a list of behaviors that could benefit multiple groups: Black Americans, Asian Americans, gays and lesbians,…

Mark White
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