Multivariate data analysis of categorical data
Taking advantage of the rhetorical power of numbers in qualitative research
Datos Bibliográficos
| ID | 21378490 |
|---|---|
| Autores | Omar Sacilotto Donaires (0000-0002-8333-4473, Universidade de São Paulo), Luciana Oranges Cezarino (0000-0001-5556-8275, Ca' Foscari University of Venice, autor de correspondencia), Lara Bartocci Liboni (0000-0002-4729-7943, Universidade de Ribeirão Preto), Evandro Marcos Saidel Ribeiro (0000-0001-7213-0240, Universidade de Ribeirão Preto), Flavio Pinheiro Martins (0000-0002-9452-722X, University College London) |
| Año | 2023 |
| Volumen | 57 |
| Número | 6 |
| Páginas | 5283-5312 |
| Fecha de publicación | 2023-12-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Quality & Quantity (JOURNAL) |
| Identificadores de la revista | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-022-01589-1 |
| OpenAlex | W4313681559 |
| Idioma | EN |
| Referencias citadas | 14 |
Binary data · Binary number · Categorical variable · Data mining · Data science · Machine learning · Multidimensional scaling · Multivariate analysis · Multivariate statistics · Qualitative property · Qualitative research · Similarity (geometry) · Social science · Sociology · Artificial Intelligence · Computer Science · Customer Service Quality and Loyalty · Mathematics · Organizational Leadership and Management Strategies
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |