A psychometric data science approach to study latent variables: a case of class quality and student satisfaction

Autor:	Favián González Echavarría, Gloria Patricia Jaramillo Álvarez, Jorge Iván Pérez Rave
Rok vydání:	2021
Předmět:	Class (computer programming) media_common.quotation_subject Mathematics education Quality (business) Latent variable Psychology Psychometric data General Business Management and Accounting Structural equation modeling media_common Psychometry
Zdroj:	Total Quality Management & Business Excellence. 33:1547-1572
ISSN:	1478-3371 1478-3363
DOI:	10.1080/14783363.2021.1980381
Popis:	Data science follows a data-driven approach focused on non-hypothesised pattern discovery from data in an automatic manner (or semi-automatic). Social science areas frequently address latent variab...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::37e216baeacb6473104a0036a1249ee6 https://doi.org/10.1080/14783363.2021.1980381 Zobrazit plný text záznamu