Cross-validation: a method every psychologist should know

Autor:	Wouter D. Weeda, M. de Rooij
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	010104 statistics & probability R package 0504 sociology Computer science Model selection 05 social sciences 050401 social sciences methods 0101 mathematics 01 natural sciences Data science General Psychology Cross-validation
Zdroj:	Advances in Methods and Practices in Psychological Science, 3(2), 248-263 Advances in Methods and Practices in Psychological Science
Popis:	Cross-validation is a statistical procedure that every psychologist should know. Most are possibly familiar with the procedure in a global way but have not used it for the analysis of their own data. We introduce cross-validation for the purpose of model selection in a general sense, as well as an R package we have developed for this kind of analysis, and we present examples illustrating the use of this package for types of research problems that are often encountered in the social sciences. Cross-validation can be an easy-to-use alternative to null-hypothesis testing, and it has the benefit that it does not make as many assumptions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ccf1fede5a809f9401dabc75e665b0 http://hdl.handle.net/1887/3160848 Zobrazit plný text záznamu