Illustrating Statistical Procedures: Finding Meaning in Quantitative Data

Author:   Ray W. Cooksey
Publisher:   Springer Verlag, Singapore
Edition:   3rd ed. 2020
ISBN:  

9789811525360


Pages:   737
Publication Date:   15 May 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Illustrating Statistical Procedures: Finding Meaning in Quantitative Data


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Overview

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts.  It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

Full Product Details

Author:   Ray W. Cooksey
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   3rd ed. 2020
Weight:   1.304kg
ISBN:  

9789811525360


ISBN 10:   9811525366
Pages:   737
Publication Date:   15 May 2020
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

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Ray Cooksey is an Emeritus Professor at the UNE Business School, University of New England, Armidale, Australia. His research mainly focuses on the areas of decision making and cognition, chaos and complexity theory, organisational and behavioural systems theory, leadership, teacher judgment, pluralist approaches to research, climate change and adaptation, and multivariate statistics. 

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