This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book's website so that users can run analyses of the text data as well as data from their own studies.
Weiterführende Informationen
Personen: Dugard, Pat File, Portia Todman, John B.
MR 2300 D866-01 (2)
Dugard, Pat:
Single-case and small-n experimental designs : a practical guide to randomization tests / von Pat Dugard, Portia File und Jonathan Todman. - 2. ed. - New York, NY [u.a.] : Routledge, 2012. - XIII, 290 S. : Ill., graph. Darst. ; 24 cm. - Literaturverz. S. 281 - 282. - Rev. ed. of: Single-case and small-n experimental designs / John B. Todman, Pat Dugard. 2001
ISBN 978-0-415-88693-2 pbk.
Sozialwissenschaftliche Theorien und Methoden - Buch