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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$ 72.00
`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$ 42.00
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
Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models... more...
- Springer Berlin Heidelberg 2013; US$ 69.95
Useful for researchers using such household panel studies as GSOEP, BHPS or PSID, this book discusses methods of managing and analyzing panel data. Supplemental data sets and syntax files are provided via the book's website. 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...