Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data
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Publication:2143974
DOI10.1007/s40300-021-00197-7OpenAlexW3128170221MaRDI QIDQ2143974
Anna Clara Monti, Maria Iannario
Publication date: 31 May 2022
Published in: Metron (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40300-021-00197-7
marginal effectsconsumer perceptionordinal response modelsordinal superiority measurestransport system evaluation
Uses Software
Cites Work
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- A mixture model for preferences data analysis
- Mixture models for ordinal responses to account for uncertainty of choice
- Regression for Categorical Data
- A statistical model for the analysis of ordinal level dependent variables
- Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach
- Ordinal probability effect measures for group comparisons in multinomial cumulative link models
- Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis
- Simple ways to interpret effects in modeling ordinal categorical data