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Full Description
The aim of this text is to provide a set of descriptions for various statistical procedures as they are applied in the conduct of business, behavioural and social science research. The text provides a conceptual overview 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. This text is not designed to teach statistics, but will instead acquaint students with important concepts and procedures as a precursor to other learning. 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 and concrete illustrations, the text explores procedures ranging from the simple (e.g., graphs and correlations) to the complex (e.g., structural equation models and time series analysis). Readers will learn which of the analysis tools is best to apply for a given situation.
Contents
Ch1 - The logic and language of statistical analysis, Ch2 - Measurement scales in quantitative research, Ch3 - Computer packages for analysing quantitative data, Ch 4 - Example research context and quantitative data set, Ch 5 - Descriptive statistics for summarising data, Ch 6 - Correlational statistics for characterising relationships, Ch 7 - Inferential statistics for hypothesis testing, Ch 8 - Other commonly-used statistical procedures, Ch 9 - Specialised statistical procedures, Appendix A - A primer on basic mathematics, statistical notation and formulas for measures, Appendix B - General analytical sequences for multivariate investigations
