What If There Were No Significance Tests? | Classic Edition. Este artículo no está disponible.
Idioma: inglés
Editorial: Routledge, 2016
- Tapa dura
- Nuevo



Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de IberLibro desde 5 de agosto de 2024
Condición: Nuevo
EUR 318,40
Descripción del artículo del vendedor
What If There Were No Significance Tests? | Classic Edition | Lisa L. Harlow (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2016 | Routledge | EAN 9781138892460 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de ref. del artículo 128526081
- Título
- What If There Were No Significance Tests? | Classic Edition
- Autor
- Lisa L. Harlow (u. a.)
- Editorial
- Routledge
- Año de publicación
- 2016
- Estado
- Neu
- Encuadernación
- Buch
- Idioma
- inglés
- ISBN 10
- 1138892467
- ISBN 13
- 9781138892460
- Peso del artículo
- 790 gramos
- Dimensiones
- 235 x 157 x 28 mm
- Serie
- Libro 20 de 29: Multivariate Applications Series
- Catálogos de vendedores
- Bücher
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Lisa L. Harlow is Professor of Psychology at the University of Rhode Island. She is the Editor of Psychological Methods and a past president of the American Psychological Association‘s Division 5.
Stanley A. Mulaik is Professor Emeritus of Psychology at Georgia Institute of Technology. His research interests include philosophy of statistics and causality and objectivity.
James H. Steiger is Professor of Psychology and Human Development at Vanderbilt University. His research interests include the use of confidence intervals to evaluate the fit of statistical models.
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