This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical me...

Clear, comprehensive, and trusted, Bryman's Social Research Methods has supported over a quarter of a million students through their research methods course and research project. Spanning theory and practice and covering quantitative, qualitative, and mixed methods, this bestselling text offers unrivalled coverage of the whole research process. The authors have worked closely with lecturers and students in thoroughly updating the sixth edition to reflect the current social science landscape, ...

This book takes the guesswork out of writing your literature review, providing a step-by-step process that works with any data.

The Practice of Evaluation: Partnership Approaches for Community Change provides foundational content on evaluation concepts, approaches, and methods, with an emphasis on the use of evaluation and partnership approaches to effect change. Real examples in every chapter illustrate key ideas and concepts "in action" on topics such as organizational development, capacity building, program improvement, and advocacy. Editors Ryan P.

Kilmer and James R. Cook, and the chapter authors, highlight pragm...

Sharp and focused, this book provides the need-to-know information on how to design and implement a good, high quality research project. Oriented around real-world application, it emphasizes the aspects of research most relevant to conducting practice-based research. Assuming no prior knowledge, but appropriate for experienced learners, it builds knowledge at a sustainable pace.

It offers readers: - A no frills guide to methodology and the theory of conducting research - Strategies for commun...

Packed with practical advice and real-world examples, this step-by-step guide is an accessible introduction to doing quantitative social research using Microsoft Excel.

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The text also features full integration of R and RStudio software.