New ways of interacting with data, context, and chance in statistical modeling processes
Mathematical Thinking and Learning
; 24(4):331-335, 2022.
Artículo
en Inglés
| APA PsycInfo | ID: covidwho-2107022
ABSTRACT
This introductory paper first summarizes the major accomplishments of the literature on data modeling, modeling with software and the integration of statistical and computational thinking in statistical modeling, including how these collective efforts have helped the field evolve. Next, challenges that the field must address and general suggestions for future research are discussed. Finally, it is important to note that the papers in this special issue were in their final editing stages in early to mid-2020, at which time there were an unprecedented confluence of global crises Covid-19, Civil Unrest over Racism, and Climate Change. Although the papers were written prior to Covid-19, it would be remiss not to discuss some of the important themes cultivated in this special issue in light of current events, particularly around the relationship between the non-neutral nature of data and ideas of data, context and chance in statistical modeling. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
APA PsycInfo
Idioma:
Inglés
Revista:
Mathematical Thinking and Learning
Año:
2022
Tipo del documento:
Artículo
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