Catherine Michalopoulou
Biographic Data
| ID | 6518583 |
|---|---|
| NAME | Catherine Michalopoulou |
| GIVEN NAMES | Catherine |
| FAMILY NAME | Michalopoulou |
| SIGNATURE | MICHALOPOULOU C |
| AFFILIATIONS | Panteion University |
| ORCID | 0000-0002-3075-7034 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
Improving Likert Scale Raw Scores Interpretability with K-means Clustering
In this article, by applying k-means clustering, cut-off points are obtained for the recoding of raw scale scores into a fixed number of groupings that preserve the original scoring. The method is demonstrated on a Likert scale measuring xenophobia that was used in a large-scale sample survey conducted in Northern Greece by the National Centre for Social Research. Applying split-half samples and fuzzy c-means clustering, the stability of the prop…
Likert Scales Require Validation before Application - Another Cautionary Tale
Investigating the structure and assessing the psychometric properties of Likert scales before their application is a prerequisite of scaling theory. However, there are instances in the literature where Likert scales that were developed as a multidimensional measurement of the underlying construct have been applied without first validating their structure and reporting on their reliability. In this paper, to discourage such applications, the requi…
Improving Likert Scale Raw Scores Interpretability with K-means Clustering
In this article, by applying k-means clustering, cut-off points are obtained for the recoding of raw scale scores into a fixed number of groupings that preserve the original scoring. The method is demonstrated on a Likert scale measuring xenophobia that was used in a large-scale sample survey conducted in Northern Greece by the National Centre for Social Research. Applying split-half samples and fuzzy c-means clustering, the stability of the prop…
Improving Likert Scale Raw Scores Interpretability with K-means Clustering
In this article, by applying k-means clustering, cut-off points are obtained for the recoding of raw scale scores into a fixed number of groupings that preserve the original scoring. The method is demonstrated on a Likert scale measuring xenophobia that was used in a large-scale sample survey conducted in Northern Greece by the National Centre for Social Research. Applying split-half samples and fuzzy c-means clustering, the stability of the prop…
Likert Scales Require Validation before Application - Another Cautionary Tale
Investigating the structure and assessing the psychometric properties of Likert scales before their application is a prerequisite of scaling theory. However, there are instances in the literature where Likert scales that were developed as a multidimensional measurement of the underlying construct have been applied without first validating their structure and reporting on their reliability. In this paper, to discourage such applications, the requi…
Computer Science (2 works) · Data mining (2 works) · Likert scale (2 works) · Mathematics (2 works) · Psychology (2 works) · Scale (ratio (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Cartography (1 work) · Clinical Psychology (1 work)