This is a comprehensive assessment of recent developments in the use of computers in qualitative research, an increasingly important and rapidly growing area of interest among social scientists and graduate students. Using Computers in Qualitative Research profiles and compares the principal programs available, identifying their particular strengths and limitations. It outlines the sorts of research problems that existing and forthcoming software can and cannot handle. The contributors also draw on their experiences of teaching computer-based techniques to suggest ways in which these could be incorporated into research methods training. [Reprinted with updated information on computer resources, 1992]
Computer-Aided Qualitative Data Analysis offers an invaluable guide to the rapidly developing arena of research practice.
... University of Groningen Peter Ohly , IZ , Bonn Bryan Pfaffenberger , University of Virginia Ralph Schroeder , Chalmers University , Gothenburg Eben Weitzman , University of Massachusetts at Boston Computer Analysis and Qualitative ...
" --Harvard Educational Review "The book by Weitzman & Miles is one of many new books on computers and qualitative software and indeed a good one. . . . The book is truly a user′s book--one of the useful ones. . .
I suspect that this book will never be far from my side over the next 4 years!!′ - Mayen Konarski, PhD student Using straight-forward language Doing Qualitative Research Using Your Computer walks readers through the process of managing ...
... University of Chicago Edward Brent , University of Missouri Angela Dale , University of Manchester G. David Garson , North Carolina State University G. Nigel Gilbert , University of Surrey Noel Heather , Royal Holloway University of ...
The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process.
This book complements the existing literature by giving a detailed account of the use of four major programs in analysing the same data.
The most widely used statistical method for testing correlation is the Pearson's product moment correlation coefficient test (Rosenthal and Rosnow, 2008). This test returns a correlation coefficient called Pearson's r.
Which programs are worth learning? What are the effects on the analysis process? This book complements the existing literature by giving a detailed account of the use of four major programs in analyzing the same data.
An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.