Tagged Questions

`ordinal` refers to data that have an order but not necessarily equal spacing between levels. It can also refer to ordinal logistic regression.

learn more… | top users | synonyms (1)

1
vote
0answers
14 views

Regression to chose questions which better correlate with a 10 points likert like score

We have a survey with several questions with 5 likert scale points and we would like to compare the answers to those of another likert like question with 10 points. The approach we thought of is a ...
0
votes
0answers
16 views

Error “initial value in 'vmmin' is not finite” when changing factors in ordinal logistic regression [migrated]

I've generated some fake data to give a simple example of ordinal logistic regression. My data set (raw data here) looks like this: ...
0
votes
0answers
11 views

Effect of independent nominal variables on dependent nominals

I was assigned to decide if two independent variables (musical mode and tempo - nominal, both with values 1,2 or 3) have effect on various dependent variables (such as brand attitude - ordinal, with 4 ...
0
votes
0answers
27 views

GAM and ordered probit regression in R

I want to check the fit of the ordinal probit regression model with the help of GAM (generalized additive models). There are plenty of examples how to construct GAM for dichotomous responses in R. ...
0
votes
0answers
23 views

How to calculate correlation between two independent sets of ordinal variables from an online survey through SPSS

I have a survey conducted. Each responded has answered two sets of ordinal questions. Positive answers in one set would normally be reflected as positive answers to other set. I need to find the ...
2
votes
0answers
24 views

R programming, correlation of quantitave variables with one qualitative variable

I have a flat CSV file that has one column of student names, one column of grades (outcomes) coded as a factor A-F, and about 100 columns of test scores (independent variables) of various sorts, on ...
1
vote
1answer
36 views

Regression model for ordinal dependent variable and catogrical independent variables

If I'm using R, which regression model should I use for my dataset? (I need to get the R-squared value.) I have 1 dependent variable and 6 independent variables as follows: 1 dependent variable: ...
1
vote
0answers
15 views

Diagnostics for multinomial and ordinal regression models

In the case of a binary outcome and a number of explanatory variables, logistic regression can be used and a number of diagnostic tools can be applied to assess the relative (e.g. AIC, if one wishes ...
0
votes
1answer
26 views

Ways to test bar charts with few bars to see if they come from the same distribution?

I have survey data with ordinal/categorical data. Most of the time the answers to question are Yes/No. I want to compare the bar charts (normalized) of yes/no from participants who gave a particular ...
0
votes
1answer
27 views

Factor analysis on non normal data ( Ordinal data of Likert Scale) [duplicate]

How to check the normality of data collected on 5 point Likert scale? As it is ordinal numbers not continuous. Using SPSS the Shapiro Wilk or Kolmogorov-Smirnov test indicate my data is not normal. ...
0
votes
1answer
16 views

Compare two items when rated by ordinal variables

This question was spurred by one of those tech support sites that asks at the bottom "rate how helpful this article was" and allows you to rate the article 5 for very helpful and 1 for not helpful at ...
0
votes
0answers
4 views

multimodel inference when using rms package

I would be glad to have some advise about how to proceed with multimodel inference to obtain weighted estimates based on AICc after running ordinal logistic analyzes with "rms' package. I used the ...
0
votes
0answers
16 views

Comparing treatment vs control for ordinal data, controling for potential confounders?

I am new here so bear with me. I have two groups, Intervention and Control. Patients have answered the question: How are your back problems now compared to before treatment? Much better, ...
1
vote
0answers
38 views

Jonckheere-Terpstra Trend Test Use and Effect Size

I would like to find out if there is a statistically significant increase among four groups. I have 4 ordinal groups (ex group 1 is count 1-20, group 2 is count 21-30 etc) and I have data for each of ...
3
votes
1answer
33 views

Net Promotor Score (NPS) - Ordinal or Interval?

I have a DV (NPS) on a "1 = not likely at all" - "10 =extremely likely" scale. My two IVs are on an ordinal scale (1-3 with N/A option). Would like to run a regression, but not sure which regression ...
3
votes
1answer
39 views

Is the linear probability model generalisable to ordered logit/probit regressions?

I have a set of data where the dependent variable is an ordered response with 7 levels and I've fitted an ordered logit model to the data, and now I want to conduct some robustness checks on the ...
0
votes
1answer
18 views

Ordinal variables relation analysis [duplicate]

I have a data set containing 10 subjects and students' grades in those subjects (e.g., A+, A, B+, B, C+, C, D+, D). I want to find out out if the grades in one subject are affecting the grades for ...
7
votes
4answers
467 views

Is the sum of a number of ordinal variables still ordinal?

I have performed a survey where I have a number of questions which can be answered Strongly Agree, Agree etc. to Strongly Disagree. Some of the questions have been designed to measure the same thing. ...
0
votes
0answers
21 views

Can I transform ordinal data into pseudo-metric?

I have 150 participants from a study, and there are numerous variables involved. I have completed all the stats other than those involved for one hypothesis. Basically, I have two dependent variables ...
0
votes
0answers
22 views

Category prediction in ordinal regression

This could be a naive question. I have three slabs for my dependent variable.. i.e three ordered categories. I have equal no. of observations in all the three categories. But when the observations ...
0
votes
1answer
18 views

Testing correlation between multiscaled rank-ordered variables

I aim to test correlation for the following rank ordered ordinal variables : 1st set of variables - Total 4 ( These are reduced variables using PCA from original 10 variables to 4, ranked on a ...
1
vote
1answer
26 views

How to predict 4 dependent ordinal DV from 6 ordinal/nominal IVs

My question is simple. I got 4 ordinal variables and I wish to investigate the extent that other 6 ordinal/nominal variables predicts their values. I know that ordinal regression is the appropriate ...
2
votes
0answers
16 views

comparing two ordinal variables by different groups

I have question. I have two groups, like students above 40 and between 24-40 (variable name :student) Also I have 2 different ordinal variables like (education: primary through Phd) and life ...
0
votes
0answers
10 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. ...
1
vote
0answers
45 views

Hierarchical ordinal regression (or ranking) with prediction constraints on clusters?

I am interested in predicting an ordered outcome of 0,1,2 or 3 (0<1<2<3) for individual responses in a bunch of different clusters. In each cluster $i$ of size $n_i$ there is a single 3, 2 ...
0
votes
0answers
24 views

difficulties evaluating if a ordinal multnomial model fitted with polr (in Rstudio) can be used for predicting over new data

I'm getting very different output when i perform a multinomial ordinal model depending on wether I scale or not my data first. Anyone could tell me why? Here are the results with raw data: ...
2
votes
1answer
90 views

Manual calculation of ordinal logistic regression probabilities - starting at different comparison

I am having a little issue with manually calculating some predicted probabilities from a ordinal logistic regression (I am doing this as a learning exercise - I am aware I don't have to do this ...
1
vote
1answer
26 views

Power analysis for repeated measures design with ordinal response

I am designing a randomised pretest-posttest trial for which I'm trying to do a sample size calculation. My brain is about to explode from confusion, so I hope someone can help me. Just a little ...
1
vote
0answers
26 views

Quantify shift between different categories

Let us consider a ordinal variable with four values say A,B,C,D (A greater than B greater than C greater than D) and a person can have any of these values at a given point in time. I have data which ...
0
votes
0answers
40 views

Alternatives to proportional odds mixed effects models

I was doing some reading about categorical data analysis (e.g. Agresti (2010): Analysis of Ordinal Categorical Data). Additionally to analysing data with an ordinal response with the help of ...
2
votes
1answer
147 views

Interpreting odds ratio of an ordinal regression when independent variables are negative percentages

I'm trying to express the results of an ordinal regression with a certain "perspective", and I'm confused. My dependent variable is an ordinal representing the progression in a scale of negative ...
0
votes
1answer
57 views

Imputation model: Pooled model is insignificant. How to interpret?

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
0
votes
0answers
50 views

Can I normalize Ordinal Data

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
1
vote
1answer
40 views

Normalized likelihoods

AIC (BIC) model selection methods are widely used. These methods can select non-nested models unlike likelihood ratio type selection that requires model to be nested. The AIC has definition ...
0
votes
0answers
41 views

How to analyze full-factorial within-subject experiment with ordinal (likert) data?

How can I analyze an within-subject full-factorial experiment with ordinal data from likert scale (with repetitions)? I would greatly appreciate your help. Study design Here is a description of the ...
1
vote
2answers
74 views

Which Analysis to use? Likert Scale

I have 3 independent variables (1-5 Likert Scale) questions and I want to check how well these three can predict/explain my DV (1-5 Likert scale) The three independent variables are: 1. Quality of ...
0
votes
0answers
23 views

Factorial design for interactions with ordinal DV

I want to make a 4 question, multiple choice survey in which each question asks about an analogous range of actions for slightly different scenarios. Each participant would only be administered the ...
0
votes
1answer
35 views

Best algorithms for ordinal classification

I am working on a data set of about 34K rows trying to predict an ordinal response variable using R. I have tried association rules, random forest and ordinal regression. Does anyone have experience ...
1
vote
0answers
22 views

Longitudinal data format in WinBUGS or OpenBUGS, different number of items per time point

I am working with longitudinal data, where there are a different number of "items" per time point. I am working with the MCMCdynamicIRT1d function in ...
0
votes
0answers
39 views

Fitting mixed effects logistic regression with random effects

I have a data frame of 134 observations, 9 independent variables, and a binary, categorical response; please see its structure below: ...
0
votes
0answers
20 views

Error messages when doing regression in SPSS

I need to do a number of regressions in SPSS but keep getting error messages. For example - "There are X cells (i.e., dependent variable levels by combinations of predictor variable values) with ...
0
votes
2answers
59 views

Interpreting ordinal regression result and calculating individual percentage contributions of independent variables

I ran an ordinal logistic regression in R using the polr function on a survey analysis dataset. The responses of the dependent variable range from Poor to Excellent. The responses to the independent ...
0
votes
0answers
6 views

Extracting full set of coefficients for multilevel explanatory factor in clmm

I am having trouble extracting coefficients for all levels of a explanatory response from clmm() in the ordinal package. My problem seems basic, and feel I am missing something obvious, forgive me if ...
1
vote
0answers
28 views

When fitting a model in Amos with ordinal data do I use Bollen stine adjustment or Baysian techniques?

I am trying to run a model validation/fit in AMOS using 18 items and three factors. The data is ordinal (1-4 scale) for each item. My data is non-normal both on a univariate and multivariate level. I ...
2
votes
0answers
29 views

Ordinal logistic model in R

I have the neuropsychiatric questionnaire scores of 300 individuals, of which 200 are normal, and 100 have the disease. The questionnaire is divided into 12 categories (delusion, agitation, ... etc). ...
0
votes
1answer
39 views

Regression analysis?

I have scored pig carcasses for injuries at 2 points; immediately after slaughter (slaughter stage 1 [SS1]) and again after the carcases have been washed, scalded and dehaired (slaughter stage 2 ...
1
vote
0answers
21 views

How to evaluate 4 methods with 4 possible outcomes

I have a table that looks like something this: Outcome Method 3 2 1 0 1 x_11 2 x_21 .... 3 x_31 4 x_41 x_44 Each x_ij ...
2
votes
1answer
69 views

Linear regression and ordinal data

I am running a multiple regression looking at whether TV viewing predicts waist circumference (WC). When I ran through the tests with my tutor we placed WC as the dependant and TV as independent, then ...
7
votes
1answer
139 views

Sample size calculation for paired ordinal data

What formula should be used for sample size calculations for paired ordinal data? Imagine we have an intervention and we want to measure the effect based on before and after measurements of an ordered ...
4
votes
2answers
184 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 ...