Research Methods for Information Systems / / Ronald S. King.

• VerfasserIn: King, Ronald S.,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2012]; ©2012
• Year of Publication: 2012
• Language: English
• Physical Description: 1 online resource (800 p.)
• Other title: Frontmatter --; Contents --; Preface --; Unit 1 Descriptive Statistics --; Unit 2 Elementary Probability --; Unit 3 Introduction To Estimation --; Unit 4 Hypothesis Testing --; Unit 5 Applications Of Chi-Square Statistics --; Unit 6 Regression And Correlation Analysis --; Unit 7 Experimental Designs --; Unit 8 Nonparametric Tests and Commonly Used Distributions --; Unit 9 Research Methods --; Unit 10 Simulation and Research Issues --; Appendix A Statistical Tables --; Appendix B Data Files --; Appendix C Articles --; Appendix D Solutions to Selected Exercises (On Companion DVD) --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781938549588
• DOI: 10.1515/9781938549588
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Ronald S. King.

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.