Cooksey R.W. Illustrating Statistical Procedures. Finding Meaning in Quantitative Data

2nd Edition. — Armidale: Tilde University Press, 2014. — 614 p.Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Second Edition, expands and extends the content and approaches taken in the first edition and provides a comprehensive set of descriptions for various statistical procedures as they are applied in the conduct of behavioural and social science research. The procedures, examples and concepts discussed are relevant to a wide range of disciplines, including general business, management, marketing, human resource management, organisational behaviour, some aspects of economics, finance and accounting, education, psychology, sociology, criminology, some aspects of public policy, health and biomedical research.
Learning about statistics is a stressful activity for many people. This text is designed to painlessly acquaint students, beginning researchers and statistical novices with a wide range of analytical possibilities. Through straightforward descriptions, conceptual discussions and concrete illustrations using data arising from a single integrated research scenario, the text explores procedures ranging from the simple (e.g. graphs and correlations) to the complex (e.g. means and standard deviations, structural equation models, time series analysis and data mining). Postgraduate students and professional academic researchers will also find this book useful as both a refresher and an introduction to some newer but less well-known statistical procedures.
The text provides a conceptual overview, in plain English, of each procedure’s purpose, use and application. Also included are discussions of some of the most important and fundamental statistical concepts which underpin many of the methods explored. To apply this knowledge, information about currently available computer software to carry out specific statistical procedures is included.
Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, Second Edition, provides a solid foundation on which to build more formal learning of statistics as well as facilitating the exploration of new possibilities for analysis. No matter the level of your initial knowledge, you can learn statistics and be competent at using and interpreting them.The logic & language of statistical analysis
Measurement issues in quantitative research
Computer programs for analysing quantitative data
Example research context & quantitative data set
Descriptive statistics for summarising data
Correlational statistics for characterising relations
Inferential statistics for hypothesis testing relations
Other commonly-used statistical procedures relationships
Specialised statistical procedures
A primer on basic mathematics, statistical notation & simple formulas for measures
General analytical sequences for multivariate investigations
Writing up statistical analyses