Establishing methodological justification is a key precursor to undertaking research, whether you apply qualitative, quantitative or mixed methods. This new Little Quick Fix answers vital questions to put students onto the right track.
Lecturers teaching big mixed cohort intro statistics courses cite one of the more frequent challenges their students encounter involves choices over which statistical test to use. This Little Quick Fix helps them to overcome this common hurdle.
This book provides fundamental understanding into computational social science, helping students build basic familiarity with programming and an in-depth understanding into the challenges and benefits within the field.
Contemporary Critical Theory and Methodology is unique in presenting the first critical collection of texts dealing with the debate between critical theory and pragmatism. Piet Strydom focuses in particular on the implications that the relation between the two has for the methodology and research practice of contemporary critical theory.
This final book in Paul Atkinson's celebrated quartet focuses on material culture and sensory ethnography. Using the author's original fieldwork, the book explores how materials, techniques, tools, and perspectives combine with the five senses to inform ethnographic methods.
This book presents an approach to narrative analysis from a critical social perspective. Through this extended example, the book demonstrates the power of narrative analytic procedures and the different effects produced by different levels of analysis.
Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.
This book guides readers from the very start of their journey in discovering data and all its uses to implementing data collection, analysis and review for decision making and service development. It's a practical, no-nonsense guide to demystify and equip any information professional with the tools to start their own data-driven decision practice.