Home Page Icon
Home Page
Table of Contents for
Cover
Close
Cover
by Galit Shmueli, Ron S. Kenett
Information Quality
Cover
Title Page
Foreword
About the authors
Preface
References
Quotes about the book
About the companion website
Part I: THE INFORMATION QUALITY FRAMEWORK
1 Introduction to information quality
1.1 Introduction
1.2 Components of InfoQ
1.3 Definition of information quality
1.4 Examples from online auction studies
1.5 InfoQ and study quality
1.6 Summary
References
2 Quality of goal, data quality, and analysis quality
2.1 Introduction
2.2 Data quality
2.3 Analysis quality
2.4 Quality of utility
2.5 Summary
References
3 Dimensions of information quality and InfoQ assessment
3.1 Introduction
3.2 The eight dimensions of InfoQ
3.3 Assessing InfoQ
3.4 Example: InfoQ assessment of online auction experimental data
3.5 Summary
References
4 InfoQ at the study design stage
4.1 Introduction
4.2 Primary versus secondary data and experiments versus observational data
4.3 Statistical design of experiments
4.4 Clinical trials and experiments with human subjects
4.5 Design of observational studies: Survey sampling
4.6 Computer experiments (simulations)
4.7 Multiobjective studies
4.8 Summary
References
5 InfoQ at the postdata collection stage
5.1 Introduction
5.2 Postdata collection data
5.3 Data cleaning and preprocessing
5.4 Reweighting and bias adjustment
5.5 Meta‐analysis
5.6 Retrospective experimental design analysis
5.7 Models that account for data “loss”: Censoring and truncation
5.8 Summary
References
Part II: APPLICATIONS OF InfoQ
6 Education
6.1 Introduction
6.2 Test scores in schools
6.3 Value‐added models for educational assessment
6.4 Assessing understanding of concepts
6.5 Summary
Appendix: MERLO implementation for an introduction to statistics course
References
7 Customer surveys
7.1 Introduction
7.2 Design of customer surveys
7.3 InfoQ components
7.4 Models for customer survey data analysis
7.5 InfoQ evaluation
7.6 Summary
Appendix: A posteriori InfoQ improvement for survey nonresponse selection bias
References
8 Healthcare
8.1 Introduction
8.2 Institute of medicine reports
8.3 Sant’Anna di Pisa report on the Tuscany healthcare system
8.4 The haemodialysis case study
8.5 The Geriatric Medical Center case study
8.6 Report of cancer incidence cluster
8.7 Summary
References
9 Risk management
9.1 Introduction
9.2 Financial engineering, risk management, and Taleb’s quadrant
9.3 Risk management of OSS
9.4 Risk management of a telecommunication system supplier
9.5 Risk management in enterprise system implementation
9.6 Summary
References
10 Official statistics
10.1 Introduction
10.2 Information quality and official statistics
10.3 Quality standards for official statistics
10.4 Standards for customer surveys
10.5 Integrating official statistics with administrative data for enhanced InfoQ
10.6 Summary
References
Part III: IMPLEMENTING InfoQ
11 InfoQ and reproducible research
11.1 Introduction
11.2 Definitions of reproducibility, repeatability, and replicability
11.3 Reproducibility and repeatability in GR&R
11.4 Reproducibility and repeatability in animal behavior studies
11.5 Replicability in genome‐wide association studies
11.6 Reproducibility, repeatability, and replicability: the InfoQ lens
11.7 Summary
Appendix: Gauge repeatability and reproducibility study design and analysis
References
12 InfoQ in review processes of scientific publications
12.1 Introduction
12.2 Current guidelines in applied journals
12.3 InfoQ guidelines for reviewers
12.4 Summary
References
13 Integrating InfoQ into data science analytics programs, research methods courses, and more
13.1 Introduction
13.2 Experience from InfoQ integrations in existing courses
13.3 InfoQ as an integrating theme in analytics programs
13.4 Designing a new analytics course (or redesigning an existing course)
13.5 A one‐day InfoQ workshop
13.6 Summary
Acknowledgements
References
14 InfoQ support with R
14.1 Introduction
14.2 Examples of information quality with R
14.3 Components and dimensions of InfoQ and R
14.4 Summary
References
15 InfoQ support with Minitab
15.1 Introduction
15.2 Components and dimensions of InfoQ and Minitab
15.3 Examples of InfoQ with Minitab
15.4 Summary
References
16 InfoQ support with JMP
16.1 Introduction
16.2 Example 1: Controlling a film deposition process
16.3 Example 2: Predicting water quality in the Savannah River Basin
16.4 A JMP application to score the InfoQ dimensions
16.5 JMP capabilities and InfoQ
16.6 Summary
References
Index
End User License Agreement
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Next
Next Chapter
Table of Contents
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset