Linked Questions

-2
votes
1answer
27k views

Should Likert scale measures be treated as interval, ratio, ordinal, or nominal? [duplicate]

Forgive me, I am forgetting my basic statistics.
0
votes
1answer
1k views

Is likert type scale interval or ordinal? [duplicate]

In educational research, some researchers say likert type scale is interval scale and some others say it is ordinal scale. which one is correct?
22
votes
6answers
24k views

Group differences on a five point Likert item

Following on from this question: Imagine that you want to test for differences in central tendency between two groups (e.g., males and females) on a 5-point Likert item (e.g., satisfaction with life: ...
8
votes
4answers
14k views

Is 0 a valid value in a Likert scale?

I have carried out my pilot study on language learning motivation using a 6 point Likert scale but from 0 (strongly disagree) to 5 (very much agree). I noticed a colleague in his survey used 1 to 6. ...
9
votes
3answers
41k views

Spearman's or Pearson's correlation with Likert scales where linearity and homoscedasticity may be violated

I am wanting to run correlations on a number of measurements where Likert scales were used. Looking at the scatterplots it appears the assumptions of linearity and homoscedasticity may have been ...
7
votes
3answers
7k views

How to test group differences on a five point variable?

I have a series of observations that fall into bins (or "scores"); that is, the data can be 0, 1, 2, 3 or 4. There are two groups of such data, control and treated. I know the number of individuals ...
13
votes
3answers
7k views

What criteria must be met in order to conclude a 'ceiling effect' is occurring?

According to The SAGE Encyclopedia of Social Science Research Methods… [a] ceiling effect occurs when a measure possesses a distinct upper limit for potential responses and a large concentration ...
7
votes
5answers
8k views

Treating ordinal variables as continuous for regression problems

In the social sciences I have encountered that it is common to treat ordinal variables as continuous, for example variables originating from rating or Likert scales (strongly disagree, disagree, agree,...
2
votes
2answers
7k views

How to analyze pre-post attitudinal data (ordinal) collected from a group of 60 students?

I have a survey with 25 items that were administered pre and post an intervention. Each item had four possible responses: Not Appealing at all Not Appealing Somewhat Appealing Very Appealing. The ...
4
votes
2answers
9k views

Cluster analysis on ordinal data (Likert scale)

I want to do clustering of my data in R, using kmeans or hclust (I am a new R user). My data is ordinal, Likert scale, to measure the causes of cost escalation. I have 41 causes "variables" that ...
3
votes
3answers
3k views

Is it reasonable to treat a three point Likert dependent variable as a continuous variable?

I have a three point Likert scale question: How happy are you? 1= low levels of happiness 2= medium levels 3= high levels I want to do multiple ...
1
vote
1answer
9k views

Computation of composite score or summed score from Likert scale

I am proposing a survey for my research proposal in speech therapy. There is a set of guidelines that speech therapists are supposed to follow, so that all questions are conceptually related - so that ...
10
votes
2answers
1k views

Scale variable as count data - correct or not?

In this paper (freely available via PubMed central), the authors use negative binomial regression to model the score on a 10-item screening instrument scored 0-40. This procedure assumes count data, ...
3
votes
2answers
2k views

How are questions of similar meaning in questionnaires dealt with?

Questionnaires often contain questions which are similar but worded differently. Usually these questions are located in different parts of the questionnaire, intended to weed out participants who don'...
4
votes
1answer
3k views

How do I weigh several variables at two levels to create an overall composite variable score?

Context I am trying to find the correlation between two latent variables. Let's call them A and B. A has two dimensions. Let's call them Dimension 1 and 2. B also has two dimensions. Let's call ...

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