Likert Scales Require Validation before Application - Another Cautionary Tale
Bibliographic Data
| ID | 12101484 |
|---|---|
| Authors | Catherine Michalopoulou (0000-0002-3075-7034, Panteion University, corresponding author) |
| Year | 2017 |
| Volume | 134 |
| Issue | 1 |
| Pages | 5-23 |
| Publication date | 2017-03-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique (JOURNAL) |
| Journal identifiers | ISSN: 0759-1063 • E-ISSN: 2070-2779 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0759106317693786 |
| OpenAlex | W2600804056 |
| Language | EN |
| Citations received | 3 |
| References cited | 36 |
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 required sequence of decisions for such an investigation and assessment based on current theory and practice is demonstrated using the Patient Satisfaction Questionnaire Short-form (PSQ-18), a six-dimensional Likert measurement instrument. Although the findings did not confirm the dimensionality of the PSQ-18, they did provide an overall valid and reliable scale, emphasizing the need of validating its structure before application
Construct (python library · Construct validity · Data mining · Dimension (graph theory · Likert scale · Machine learning · Multidimensional scaling · Psychometrics · Reliability (semiconductor · Scale (ratio · Statistics · Clinical Psychology · Computer Science · Customer Service Quality and Loyalty · Mathematics · Patient Satisfaction in Healthcare · Psychology · Psychometric Methodologies and Testing
Exploratory and confirmatory factor analysis
Applied Multivariate Statistics for the Social Sciences
Resolving the 50‐year debate around using and misusing Likert scales
Coefficients Alpha, Beta, Omega, and the glb
Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis
Ten Common Misunderstandings, Misconceptions, Persistent Myths and Urban Legends about Likert Scales and Likert Response Formats and their Antidotes
Factor Retention Decisions in Exploratory Factor Analysis
Factor analysis and scale revision.
Modern robust statistical methods
A Suggestion for Using Powerful and Informative Tests of Normality
Likert scales
Cutoff criteria for fit indexes in covariance structure analysis
Constructing validity
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Evaluating the use of exploratory factor analysis in psychological research.
Likert scales, levels of measurement and the “laws” of statistics
Structural Equations with Latent Variables
Analysis of Multivariate Social Science Data
Quality of integrated chronic care measured by patient survey
Psychometric and factor analytic evaluation of the 15D health-related quality of life instrument
Structure and Reliability of Ware’s Patient Satisfaction Questionnaire III
Quality Variation and its Impact on Costs and Satisfaction
Response to Letter to the Editor Regarding, Quality Variation and Its Impact on Costs and Satisfaction
Quality of Care, Cost, and Patient Satisfaction
| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |