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Bergin’s book has a clear and straight-forward structure covering the key points and issues required to engage in qualitative, quantitative or mixed methods research. This is an accessible introduction for undergraduates encountering research methods for the first time.
Tiffany Bergin is clearly an experienced and effective teacher, reminiscent of the late Cathie Marsh (both authors taught research methods at Cambridge). This book is informed by professional experience outside academia and is recommended as required reading in research methods (quantitative, qualitative, and mixed) for courses in sociology, social policy and related areas. It can serve either as a course text or as a self-teaching aid.
Moved to a new university. Will consider adoption on courses there as the content was relevant and accessible.
I really like this book. The quantitative section is especially useful, with the introduction of both real world, and well crafted fictional, data samples utilised well within the various statistical tests demonstrated. The level of complexity is just right, not too easy or straightforward to lessen understanding but not too difficult that it makes the reader put the book down and look elsewhere for data analysis support . The supporting assumptions provided after the examples are very helpful. Decision already made, I have referred the book to the university library for purchase.
This is a very good resource for students and teaching
This is a very good resource
This is a really comprehensive book, which covers the key aspects of data analysis that my doctoral students will encounter. It is clearly presented, and the style of writing makes it easily accessible for the students, no matter how far along their studies they are. The inclusion of various examples, checks and activities, has made it very useful in the teaching of such core skills, too.
The book provides a synthesis of ideas on how qualitative data analysis provides a veritable tool to research development in geography. It provides an easy-to-dispense materials for teaching.
My course includes the teaching of both quantitative and qualitative research methodology. The text is clear and comprehensible for the students of the course of study. So I recommend it to my students to deepen the concepts of research methodology.
Great book added to multiple research based modules across ICT programmes.
This book is useful for all nurses undertaking their research module but also provides excellent data for other courses such as behaviourism courses around data collection and analysis.
A particularly valuable resource for understanding methodologies. It provides a comprehensive and straightforward reference book that clearly explains data analysis. 'Lets try this' and 'stop and think', provide the opportunity to reflect on learning and also help to demystify a complex topic for both my new and experienced academic learners. In study skills, its format makes it easy for staff to explain some of the more difficult to grasp elements of research analysis, and enables delivery of concise resources to learners in HE.
This text offers a good introduction to working with data, and data analysis. Giving good examples in a structured way, it will give students working on dissertations/doctorates helpful insights into the issues to consider and the processes to follow.
A helpful introduction to data analysis that will get students started with the process.
A good publication to introduce students to a qualitative, quantitative and mixed methods approach and analysis of data to their research projects. Additionally providing clear explanations of research analysis. A recommended source for the BA students studying their dissertation module.
Useful for students in research methods and dissertation modules
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