This compelling textbook provides a clear view of a broad range of possibilities for quantitative data, complementing the statistical toolbox with configurational methods. A must read for students aiming to get more out of data and move beyond 'push-button analysis'.
A very good complementary text surround understanding and effectively using SPSS; this is a great supplemental text for students undertaking research methods and dissertation projects (quantitatively based), to gain an enhanced understanding of the subject matter.
Definitely a book that broadens the perspective for quantitative data analysis. I specifically recommend the case-based approaches as reading for my graduate students.
Good resource for students studying data modules
This is a good core text and is recommended to students to suppor them on their research
This is an easy to follow guide.
This is a book I intend to use in my research methods courses starting from the coming academic year
I found this easy to read and use and had some really helpful chapters. What would be useful for future revised editions would be some references to the Carter Review of ITT and addressing such things as quantitative assessment theory and practice specifically for beginning teachers.
Very good introduction to the underpinning logic of variable-based in comparison with case-based data analysis techniques. Written in a very accessible style with helpful graphics and examples throughout.
A useful clear text for students
Provides a systematic approach to qualitative data analysis, good solid underpinning text.
Interesting and well informed.
Focus of the course has changed into qualitative data analysis
Takes an interesting approach but the topics covered are a little basic and we need to go to a more advanced level of this course.
I really enjoyed this approach and will add to the reading list.
Quantitative analysis no longer part of the syllabus
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