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

This is the ideal step-by-step guide on how to write successful research proposals in the health sciences, whether it is for a thesis or dissertation review committee, an ethical review committee or a grant funding committee.

This bestselling book explains how expressive and explorative writing can develop reflective practice and invite critical examination of practice, values, roles, and responsibilities.

Zina O'Leary's Research Proposal Little Quick Fix gives you a clever, beautiful workbook packed with real life examples to keep you on track. Use it to: work through guided exercises; understand the elements of the proposal; and, put them together thoughtfully to create your very own research proposal - fast.

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.

A sophisticated introduction to the diversity and interconnectivity of digital space, technology, objects, people and data. It sets out the theory and methods needed to understand digital life and then links them to real world data showcasing their strengths and challenges.Â

A step-by-step on five different qualitative approaches - thematic analysis, interpretative phenomenological analysis, grounded theory, narrative analysis and discourse analysis.

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.

Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.