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Questions tagged [ranking]

Ranking is the task (for respondents) or the result of ordering the given stimuli or performers from "highest" to "lowest" (or *vice versa*) in some respect. It is usually contrasted with rating of stimuli. (For ranking as a way of data transformation - use tag [ranks]).

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If every respondent to a survey like this simply ranks the alternatives, is the result seen here done by just averaging the ranks and then sorting them? And what in the world does "margin of ...
Michael Hardy's user avatar
3 votes
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Question I'm attempting to test whether two sets of preferences are drawn from the same Mallows (1957) distribution using the BayesMallows package. To give a concrete example, suppose I have ten men ...
Gideon Moore's user avatar
3 votes
1 answer
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I am developing a program that involves multiple design decisions. For example, the first algorithm in the chain could be A, B, or C. The second decision involves choosing between parameters 1, 2, 3, ...
Jacques Wainer's user avatar
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I'm trying to model athletic competition and competitor ranking, in a sport such as running. A particular competitor will participate in some number of races each season. Some small, some large. They ...
latkin's user avatar
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I have about 100 biomarkers (serum protein concentrations; continuous) from about 200 subjects that could correlate with prognosis (binary, prevalence around 30%). The data are complete in that all ...
user475264's user avatar
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Consider the following plot, which shows a noisy function 'Firing Rate' and some highlighted intervals. I want to test whether these intervals tend to overlap or correlate with local high-valued (e.g. ...
sam wolfe's user avatar
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I’m currently comparing perceived career barriers among three groups: students, faculty, and industry professionals. While I used the same survey questionnaire with a Likert scale (e.g., “Job ...
Kate08's user avatar
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1 vote
1 answer
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I have to analyze a biological dataset. Let me describe the experiment and data first: We have a piece of plastic with hundreds of wells where chemical/biological ...
dkysh's user avatar
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3 votes
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Traditionally ML algorithms for ranking take the features as input and then output a "relevance score" which do not have a natural probabilistic interpretation. For example, suppose we have ...
Ishigami's user avatar
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I have a system that produced $n$ outputs, and two annotators have judged them. Each annotator produced a ranked list of $n$ items. I have measured how they correlated by computing a ranking ...
rivu's user avatar
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3 votes
1 answer
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I am analyzing data with a regression model where the independent variable of interest is a treatment, and I want to estimate its effect. I aim to adjust this estimate for a set of covariates, ...
Stat Pawn's user avatar
3 votes
1 answer
208 views

I have a dataset of performance of students in exams which looks like: ...
Ishigami's user avatar
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5 votes
1 answer
418 views

I have a dataset of the performance of students in exams which looks like: ...
Ishigami's user avatar
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0 votes
1 answer
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I have created a survey with a ranking scale of 1 = Least effective, 2= Somewhat effective 3= Effective 4 = Most effective. People answering the questions were forced to select only one response per ...
Paola Seminara's user avatar
4 votes
2 answers
665 views

I understand that AUC measures the model's ability to rank the subjects (see Why is ROC AUC equivalent to the probability that two randomly-selected samples are correctly ranked?). In contrast, binary ...
iRum's user avatar
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