Categorical and nonparametric data analysis. Choosing the best statistical technique.

Autor/in	Nussbaum, E. Michael
Titel	Categorical and nonparametric data analysis. Choosing the best statistical technique.
Quelle	New York, NY u.a.: Routledge (2015), XVIII, 505 S.Verfügbarkeit
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
ISBN	1-138-78782-5; 978-1-138-78782-7
Schlagwörter	Forschung; Hypothese; Test; Lehrbuch; Datenanalyse; Regression; Tabellenkalkulation; Variable; Modell; Statistische Methode; Verfahren; SPSS
Abstract	This book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. [...] Highlights include the following: 1. [...] Coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project [...]. 2. Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines. 3. Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding. 4. Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding. 5. Problems in each chapter help readers test their understanding of the material. 6. Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2015/1