A Practical Guide to Data Analysis
Using R and IBM SPSS Statistics
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Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas. It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis. It also: * Covers a range of statistics taught at undergraduate level. * Presents varie...
Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas. It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis. It also: * Covers a range of statistics taught at undergraduate level. * Presents varied, adaptable solutions to common problems. * Embeds road-tested best practice into every stage of your analysis. * Provides you with programming skills that boost your employability. * Gives any essential theory in a simple, easy to follow, manner. * Supports understanding and communicating findings effectively. * Helps to bridge the gap between using SPSS and R. If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.
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