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- McGraw-Hill Education 2007; US$ 249.00
There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most... more...
- Taylor and Francis 2012; US$ 125.00
Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives. Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg... more...
- SAGE Publications 2005; US$ 61.00
Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper level techniques to cater for the advanced student. more...
- SAGE Publications 2003; US$ 80.00
`With many other introductory texts, data analysis becomes just an exercise unto itself, and students (sometimes) learn to go through the motions without really knowing why. After working with Blaikie's text, novice researchers will know why quantitative inquiry is important' - Ray Pawson, University of Leeds more...
- SAGE Publications 2001; US$ 71.00
Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate... more...
- Springer 2009; US$ 74.95
Presents an overview of the basic principles of marginal modeling and offers a range of possible applications. This book includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a description of how to apply marginal models for a great diversity of research questions. more...
- O'Reilly Media 2008; US$ 23.99
Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks . These cool tips, tricks, and mind-boggling solutions from the world of statistics,... more...
- SAGE Publications 1999; US$ 68.00
Starting from simple hypothesis testing and then moving towards model-building, this book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports. more...
- CRC Press 2010; US$ 79.95
Taking a practical approach that draws on the authors' teaching, consulting, and research experiences, this book provides a statistical overview of the analysis of complex sample survey data. It shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. more...
- Wiley 2011; US$ 104.00
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest... more...