Foreword ix
About the authors xi
Preface xii
Quotes about the book xv
About the companion website xviii
PART I THE INFORMATION QUALITY FRAMEWORK 1
1 Introduction to information quality 3
2 Quality of goal, data quality, and analysis quality 18
3 Dimensions of information quality and InfoQ assessment 31
4 InfoQ at the study design stage 53
5 InfoQ at the postdata collection stage 67
PART II APPLICATIONS OF InfoQ 79
6 Education 81
7 Customer surveys 109
8 Healthcare 134
9 Risk management 160
10 Official statistics 181
PART III IMPLEMENTING InfoQ 219
11 InfoQ and reproducible research 221
12 InfoQ in review processes of scientific publications 234
13 Integrating InfoQ into data science analytics programs, research methods courses, and more 252
14 InfoQ support with R 265
15 InfoQ support with Minitab 295
16 InfoQ support with JMP 324
Index 351
Ron S. Kenett, KPA Ltd. and University of Torino, Turin,
Italy
Ron S. Kenett, Chairman and CEO of the KPA Group and KPA Ltd.,
Research Professor at the University of Turin, Italy, International
Professor Associate at the Center for Research in Risk Engineering,
NYU-Poly, New York, USA and Visiting Professor at the Faculty of
Economics, University of Ljubljana, Slovenia. He has over 25 years
of experience in restructuring and improving the competitive
position of organizations by integrating statistical methods,
process analysis, supporting technologies and modern human resource
management systems. Ron Kenett is Editor in Chief of the Wiley
Encyclopedia of Statistics in Quality and Reliability, a Fellow of
the Royal Statistical Society, Senior Member of the American
Society for Quality, Past President of the Israeli Statistical
Association and Past President of ENBIS, the European Network for
Business and Industrial Statistics and is the 2013 Greenfield
Medalist of the Royal Statistical Society.
Galit Shmueli, Indian School of Business, India
Galit Shmueli is SRITNE Chaired Professor of Data Analytics and
Associate Professor of Statistics & Information Systems at the
Indian School of Business. She is best known for her research and
teaching in business analytics, with a focus on statistical and
data mining methods for contemporary data and applications in
information systems and healthcare. Dr. Shmueli's research has been
published in the statistics, management, information systems, and
marketing literature. She authors over seventy journal articles,
books, textbooks and book chapters, including the popular textbook
Data Mining for Business Intelligence and Practical Time Series
Forecasting. Dr. Shmueli is an award-winning teacher and speaker on
data analytics. She has taught at Carnegie Mellon University,
University of Maryland, the Israel Institute of Technology,
Statistics.com and the Indian School of Business.
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