Overview
- Implements a conceptual, high visual impact, approach to teaching statistical analysis using software support systems
- All analytical discussions and illustrations are anchored in a common research scenario and database for all
- More comprehensive coverage of statistical procedures, from the very simple to the very complex) than any comparable introductory or intermediate statistical text
- Discussion of statistical procedures is interlaced with discussion and illustration of fundamental statistical concepts at appropriate points
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
Authors: Ray W. Cooksey
DOI: https://doi.org/10.1007/978-981-15-2537-7
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2536-0Published: 15 May 2020
Softcover ISBN: 978-981-15-2539-1Published: 16 May 2021
eBook ISBN: 978-981-15-2537-7Published: 14 May 2020
Edition Number: 3
Number of Pages: XXV, 737
Number of Illustrations: 153 b/w illustrations, 75 illustrations in colour
Topics: Statistical Theory and Methods, Big Data/Analytics, Data Mining and Knowledge Discovery, Software Management, Database Management