FF214 - Métodos Quantitativos de Análise de Dados de Pesquisa - 1S/2022 Imprimir

Ementa:

Os pacotes computacionais para visualização e análise de dados de pesquisa. Abordagem quantitativa de dados.  Aplicação em Atividade Física e Esporte.

Bibliografia:

BÁSICA

1. Bussab, Wilton de Oliveira, Estatística básica. 9. ed. São Paulo, SP: Saraiva, 2017. 554 p., il. ISBN 9788547220228 (broch.)

2. Marconi, Marina de Andrade. Fundamentos de metodologia científica. ed. Atlas, SP,  2010.

3. Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn. Guide To Intelligent Data Analysis, Springer London Dordrecht Heidelberg New York, ISBN 978-1-84882-259-7, 2010.

4. Willem Mertens, Amedeo Pugliese, Jan Recker. Quantitative Data Analysis. A Companion for Accounting and Information Systems Research. Springer. ISBN 978-3-319-42700-3 (eBook), 2017.

5. Jose Henrique Vuolo. Fundamentos da teoria de erros.Ed. Edgard Blucher ltda; SP. Isbn 85-212-0056-0, 2002.

6. Sandeep Nagar. Introduction to Octave. For Engineers and Scientists. Apress, New York, USA, ISBN-13 (electronic): 978-1-4842-3201-9, 2018

COMPLEMENTAR

1. Daniel Lakens. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in Psychology, v.4, p. 1–12, 2013.
2. Matthew R. Rhea. Determining the magnitude of treatment effects in strength training research through the use of the effect size. Journal of Strength and Conditioning Research, v. 18, n. 4. p. 918–920, 2004.
3. Neville de Mestre. The mathematics of projectiles in sport. Australian Mathematical Society Lecture Series, 6. Cambridge University Press, Cambridge, 2000.
4. Philip R. Bevington. Data reduction and error analysis for the physical sciences. McGraw-Hill Book Company, New York, 1969.

Ano de Catálogo: 2022

Créditos: 6