Single-case and small-n experimental designs : a practical guide to randomization tests.

"Randomization tests are not a new idea, but they only became really useful after the advent of fast computing. Making randomization tests accessible to many more potential users by providing the means to use them within familiar statistical software, this book serves as an introduction and pro...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dugard, Pat
Otros Autores: File, Portia, Todman, Jonathan, Todman, John B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Routledge Academic, 2012.
Edición:2nd ed. /
Temas:
Statistical hypothesis testing.
Experimental design.
Tests d'hypothèses (Statistique)
Plan d'expérience.
PSYCHOLOGY > Research & Methodology.
EDUCATION > Experimental Methods.
MEDICAL > Nursing > Research & Theory.
MATHEMATICS > Probability & Statistics > General.
Experimental design
Statistical hypothesis testing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Ch 1. Single-case and small-n designs in context
  • ch 2. Understanding randomization tests
  • ch 3. Obtaining the data : choosing the design
  • ch 4. Obtaining the data : implementing the design
  • ch 5. Analyzing the data : using the macros
  • ch 6. Analyzing the data : wider considerations
  • ch 6. Size and power
  • ch 7. Going further.

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