Research Methods for Information Systems K

Hardback
November 2012
9781936420124
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th November 2012
  • ISBN 9781936420124
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
$89.95
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November 2012
9781938549588
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th November 2012
  • ISBN 9781938549588
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
$179.95
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November 2012
9781938549595
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th November 2012
  • ISBN 9781938549595
  • Language English
  • Pages 800 pp.
  • Size 7" x 9"
$89.95

Assuming no previous knowledge, this book provides comprehensive coverage for a first course in research & statistical methods in computing, or it can be used as "on the job" self-training for professionals. It shows how to apply these methods to the current problems faced in a variety of fields, but with special emphasis on computer science and information systems. A research model applicable to applied research is proposed and discussed throughout the text. This model accommodates scientific methods of research, including empirical, quantitative, qualitative, case study, and mixed methods. Using a non-threatening approach to the subject, the text avoids excessive mathematics and abstract theory. It includes numerous exercises and examples that help students understand the relevance of research methodology applications, a DVD with statistical tables, data files, etc. Numerous instructors’ resources are available upon adoption.

This book has the following selected topics: Introduction to statistics; descriptive statistics; data mining; probability; estimation; hypothesis testing; chi-square tests; linear regression; variance; random-number generation; guide to research; model construction; statistical software; axiomatic research; simulation and clustering methods; simulations; statistical tables.

Ronald S. King

Ronald S. King holds a PhD in applied statistics and currently teaches online courses for Tarleton State University (TX). Spanning a career of four decades of teaching and administration at multiple universities, he brings a unique perspective to the fields of statistics, computer science, and information systems. His lifetime career publications have made numerous contributions to these fields.