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Statistical Methods for Organizational Research: Theory and Practice

Autor Chris Dewberry
en Limba Engleză Hardback – 2 sep 2004
This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis.

Covering everything from introductory descriptive statistics to advanced inferential techniques such as ANOVA, multiple and logistic regression and factor analysis, this is one of the most comprehensive textbooks available. Using examples directly relevant to organizational research it includes practical advice on such topics as the size of samples required in research studies, using and interpreting SPSS, and writing up results.

In helping readers to develop a sound understanding of statistical methods, rather than focusing on complex formulas and computations, this outstanding textbook is as appropriate for those who wish to refresh their knowledge as those new to the subject area.
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Specificații

ISBN-13: 9780415334242
ISBN-10: 0415334241
Pagini: 364
Dimensiuni: 174 x 246 x 22 mm
Greutate: 0.88 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate and Undergraduate

Cuprins

Part 1: Descriptive and Inferential Statistics 1. Descriptive Statistics 2. The Principles of Inferential Statistics 3. The Mechanics of Inferential Statistics Part 2: Methods of Statistical Analysis 4. Methods for Examining Differences 5. Methods for Examining Associations

Notă biografică

Chris Dewberry lectures in Organizational Psychology at Birckbeck College, University of London. Until 2001 he was Statistical Advisor to the Ministry of Defence.

Descriere

This clearly written textbook clarifies the ideas underpinning descriptive and inferential statistics in organizational research. Much more than a theoretical reference tool, it guides readers through the various key stages of successful data analysis.