ABSTRACT
"Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems.
This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!"
—David Banks from the Foreword
Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries.
Features
• Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners
• Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics
• Collection of innovative statistical teaching and learning techniques in developing countries
Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries.
TABLE OF CONTENTS
part 1|91 pages
Statistics Collaboration and Practice in Developing Countries
chapter 2|20 pages
LISA 2020: Promoting Statistical Practice and Collaboration in Developing Countries1
chapter 3|13 pages
LISA 2020 Network Survey on Challenges and Opportunities for Statistical Practice and Collaboration in Developing Countries
chapter 4|10 pages
Exploring the Need for a Statistical Collaboration Laboratory in a Kenyan University: Experiences, Challenges, and Opportunities
chapter 7|7 pages
Statistics Education and Practice in Secondary Schools in Nigeria: Experiences, Challenges and Opportunities
part 2|64 pages
Building Capacity in Statistical Consulting and Collaboration Techniques through the Creation of Stat Labs
chapter 8|15 pages
Promoting and Sustaining a Virile Statistical Laboratory in Nigeria's Premier University: Lesson from UI-LISA Experience
chapter 9|11 pages
The Complementary Role of UI-LISA in Statistical Training and Capacity Building at the University of Ibadan, Nigeria
chapter 11|8 pages
Statistical Consulting and Collaboration Practises: The Experience of NSUK-LISA Stat Lab
chapter 13|8 pages
The ABC of Successful Statistical Collaborations: Adapting the ASCCR Frame in Developing Countries
part 3|62 pages
Statistics Education and Women's Empowerment
chapter 16|10 pages
Cross-Sectional Data Analysis of Female Labor Force Participation Using Factor Analysis: A Case Study of Bihar State, India
chapter 17|26 pages
Determining Variation in Women's Labor Force Participation in a Fragile Region of Sub-Saharan Africa Using Cochran's Q Statistic
part 4|120 pages
Statistical Literacy and Methods across Disciplines
chapter 18|27 pages
Understanding Uncertainty in Real-Life Scenarios through the Concepts of Probability and Bayesian Statistics
chapter 19|15 pages
Generalized Dual to Exponential Ratio Type Estimator for the Finite Population Mean in the Presence of Nonresponse
chapter 20|20 pages
A Comprehensive Tutorial on Factor Analysis with R: Empirical Insights from an Educational Perspective
chapter 21|15 pages
Retrieval of Unstructured Datasets and R Implementation of Text Analytics in the Climate Change Domain
part 5|45 pages
New Approaches to Statistical Learning in Developing Countries
chapter 26|8 pages
The Ten Most Similar Players
chapter 27|13 pages
Teaching and Learning Statistics in Nigeria with the Aid of Computing and Survey Data Sets from International Organizations
part 6|61 pages
Importance of Statistics in Urban Planning and Development
chapter 28|19 pages
Assessment of Indicators of Urban Housing Quality in Owerri Municipal, Nigeria: A Factor Analysis Approach
chapter 29|16 pages
Role of Gender Disaggregate Statistics in Urban Planning and Development in Pakistan
part 7|135 pages
Statistical Literacy in the Wider Society