A Super Quick guide to planning an academic essay, from setting your structure and developing an argument to staying on topic.

Ideal for those new to teaching Research Methods, as well as more experienced instructors looking for new ways to engage their students, this applied resource places 100 activities - each accompanied by tutor notes and students handouts (also downloadable) - right at the instructor's fingertips.

With a strong focus on using less traditional forms of data, the Third Edition provides a new perspective on issues such as the role of the researcher and the impact they have on data, and also considers the impact of social, cultural and political complexities across a range of disciplines.

Focused on the needs of the new classroom researcher and those studying education on Masters-level courses, this is a thorough and thoughtful guide to the research process, covering qualitative, quantitative and mixed research methods.

Discover how to write winning essays and improve your grades, with this tried and tested guide to essay writing.

This book provides the very basics for understanding SPSS and how to use it when analyzing data, and contains a number of examples of how to work with Versions 20-23.

Program Evaluation: Embedding Evaluation into Program Design and Development provides an in-depth examination of the foundations, methods, and relevant issues in the field of evaluation. With an emphasis on an embedded approach, where evaluation is an explicit part of a program that leads to the refinement of the program, students will learn how to conduct effective evaluations that foster continual improvement and enable data-based decision making. This text provides students with both the t...

Designed to reduces students' anxieties and minimize unnecessary formulas, this fourth edition provides a comprehensive introduction to basic statistical designs and analyses.

Whether students are doing interviews in their own research or just using other researchers' data, this book tells them everything they need to know about designing, planning, conducting and analyzing quality interviews.

This practical book uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language.