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- McGraw-Hill Education 2007; US$ 49.00
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...
- Springer 2012; US$ 119.00
Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based... more...
- CRC Press 2008; US$ 85.95
Preface Setting the Scene Structure of the book Our limited use of mathematics Variables The geometry of multivariate analysis Use of examples Data inspection, transformations, and missing data Cluster Analysis Classification in social sciences Some methods of cluster analysis Graphical presentation of results... more...
- Taylor and Francis 2002; US$ 64.95
This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis... more...
- SAGE Publications 2003; US$ 90.00
`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...
- De Gruyter 2015; US$ 630.00
With great analytic depth, this textbook clearly illuminates the basic principles of descriptive statistics. It accomplishes this aim with lively language and numerous illustrations, overviews, and tables along with practice exercises. more...
- Springer 2013; US$ 69.95
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy,... more...
- Guilford Publications 2010; US$ 69.00
1. An Introduction to Missing Data 1.1 Introduction 1.2 Chapter Overview 1.3 Missing Data Patterns 1.4 A Conceptual Overview of Missing Data Theory 1.5 A More Formal Description of Missing Data Theory 1.6 Why Is the Missing Data Mechanism Important? 1.7 How Plausible Is the Missing at Random Mechanism? 1.8 An Inclusive Analysis Strategy... more...
- Springer 2012; US$ 69.95
Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level... more...
- Taylor and Francis 2012; US$ 165.00
Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology,... more...