A non-intimidating approach to learning or reviewing math skills essential in quantitative research methods.

This textbook is ideal for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of statistical analysis in their future professional lives, but who are not trained in mathematics.

Mixed Methods Program Evaluation discusses the major frameworks that are used to design mixed methods evaluations. Multiple examples of the different frameworks are used to illustrate mixed methods evaluations in practice.

Explains basic principles about survey research, such as what surveys are, which types are available and what is involved in producing high quality surveys.

Mary Lynne Derrington provides guidance on how to conduct qualitative longitudinal studies rather than focusing on how to analyse such data.

Nervous about statistics? This guide offers a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Unlike other publications, this is a book on using propensity scores without using matrix or vector algebra.

The author shows the reader how to obtain, categorize, and analyze different media documents in this entry in the Qualitative Research Methods series

Giving guidance on issues from ways to improve your writing, to identifying your learning preferences, to dealing with emotional blocks, this text presents you with expert advice on the entire dissertation process.

Offering a systematic approach, this book bridges theoretical concepts with practical, how-to knowledge to support monitoring and evaluation training that makes a difference.