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.

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.

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

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.

Providing a comprehensive foundation for planning, executing, and monitoring public health research of all types, this book goes beyond traditional epidemiologic research designs to cover technology-based approaches emerging in the new public health landscape.