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Psychometry and estimation of cutoff points of Jefferson Scale of empathy in dental students
- Source :
- Journal of dental educationREFERENCES. 85(3)
- Publication Year :
- 2020
-
Abstract
- OBJECTIVE The objective of this study was to determine the psychometric properties of the 3-dimensional latent model of empathy on the Jefferson Scale of Physician Empathy instrument (version S), and to verify the existence of cutoff points capable of differentiating empathy measures classified as: "high," "medium," and "low" using data collected from observations of students from 11 dental faculties of 5 Central American and Caribbean countries (n = 3082) between 2015 and 2019. METHODS This is an exploratory, "a posteriori," and non-experimental study. Factor structure and factor invariance by country and gender were analyzed. Hierarchical cluster analysis and bifactorial analysis were applied, and the data were normalized by cluster and by percentiles within them. RESULTS Confirmatory factor analysis showed that the original model was replicable and fit the data, while multigroup analysis allowed assuming an invariant factor structure by country and by gender. There is reliability in the measurement made by the scale and its dimensions. CONCLUSIONS The instrument has adequate psychometric properties, and cutoff values obtained allow people with lower or higher levels of empathy and its components to be classified. Therefore, these results solve the problem of comparing the scores and observed levels of empathy between dental schools within and between countries and between genders. Such comparisons were only possible since the original data of each study were made available for traditional statistical methods.
- Subjects :
- Male
Percentile
Students, Medical
020205 medical informatics
Scale (ratio)
Psychometrics
media_common.quotation_subject
Students, Dental
Empathy
02 engineering and technology
Disease cluster
03 medical and health sciences
0302 clinical medicine
Surveys and Questionnaires
Statistics
0202 electrical engineering, electronic engineering, information engineering
Cutoff
Humans
Reliability (statistics)
Psychometry
media_common
Reproducibility of Results
030206 dentistry
General Medicine
Confirmatory factor analysis
Female
Psychology
Subjects
Details
- ISSN :
- 19307837
- Volume :
- 85
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of dental educationREFERENCES
- Accession number :
- edsair.doi.dedup.....749bbe326cf0271a3061850b2d810caa