1st Edition
Promoting Statistical Practice and Collaboration in Developing Countries
"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.
Chapter 1 Statistics collaboration and practice in developing countries: experiences, challenges and opportunities
Chapter 1.1 Statistics collaboration and practice in developing countries: experiences, challenges, and opportunities
Eric A. Vance and Tonya R. Pruitt
Chapter 1.2 LISA 2020 Developing Statistical Practice and Collaboration in Developing Countries
Eric A. Vance, Kim Love, O. Olawale Awe, and Tonya R. Pruitt
Chapter 1.3 LISA 2020 Network Survey on Challenges and Opportunities for Statistical Practice and Collaboration in Developing Countries
Kim Love, O. Olawale Awe, David J. Gunderman, Matthew Druckenmiller, Eric A. Vance
Chapter 1.4 Exploring the Need for a Statistical Collaboration Laboratory in a Kenyan University: Experiences, Challenges, and Opportunities
Thomas Mawora, Joyce Otieno, and Eric A. Vance
Chapter 1.5 Barriers, Challenges and Opportunities to Statistical Collaboration
Demisew Gebru Degefu and James Rosenberger
Chapter 1.6 Challenges of Statistics Education that Leads to High Dropout Rate among Undergraduate Statistics Students in Developing Countries
Bayowa Teniola Babalola, Olushina Olawale Awe and Mumini Idowu Adarabioyo
Chapter 1.7 Statistics Education and Practice in Secondary Schools in Nigeria: Experiences, Challenges and Opportunities
Oluokun Kasali Agunloye, Deborah Olufunmilayo Makinde & Rafiat Taiwo Agunloye
Chapter 2 Building Capacity in Statistical Consulting and Collaboration Techniques Through The Creation of Stat Labs
Chapter 2.1 Promoting and Sustaining a Virile Statistical Laboratory in Nigeria’s Premier University: Lesson from UI-LISA Experience
Olusanya Elisa Olubusoye, Oluwayemisi Alaba, Eric Vance, Serifat Folorunso and Olalekan J. Akintande
Chapter 2.2 The Complementary role of UI-LISA in Statistical Training and Capacity Building at the University of Ibadan, Nigeria
Abosede A. Adepoju, Olusanya E. Olubusoye, Tayo Ogundunmade, Oyelakin T. Tomiwa & Bbosa Robert
Chapter 2.3 Statistical Consulting and Collaboration Techniques Hope
Ifeyinwa Mbachu, Julius Nwanya, Kelechi Dozie and Mirian Raymond
Chapter 2.4 Statistical Consulting and Collaboration Practises: The Experience of NSUK-LISA Stat Lab
Monday Osagie Adenomon
Chapter 2.5 Statistics: The Practice of Data Surgeon
Olusanya E. Olubusoye & Olalekan J. Akintande
Chapter 2.6 The ABC of Successful Statistical Collaborations: Adapting the ASCCR Frame in Developing Countries
Olushina Olawale Awe and Eric A. Vance
Chapter 3 Statistics education and women empowerment
Chapter 3.1 Statistics and Women’s Empowerment: Challenges and Opportunities
Pawan Kumar Sharam, Lubna Naz, Vishal Mahajan
Chapter 3.2 Women in STEM, progress and prospects: The case of a Ghanaian University
Atinuke Adebanjia, Salami Suleiman
Chapter 3.3 Cross-Sectional Data Analysis of Female Labor Force Participation Using Factor Analysis: A Case Study of Bihar State, India
Aviral Pandey
Chapter 3.4 Determining Variation in Women’s Labor Force Participation in a Fragile Region of Sub-Saharan Africa Using Cochran’s Q Statistic
Albert Ayorinde Abegunde, Adeyemi Adewale Alade, Ore Fika, Jacob Wale Mobolaji, Lasun Mykail Olayiwola, Akanni Akinyemi, Ifeoma Betty Ezike
Chapter 4 Statistical Literacy and Methods across Disciplines
Chapter 4.1 Understanding Uncertainty in Real-Life Scenarios through the Concepts of Probability and Bayesian Statistics
Richa Vatsa and Sandeep K. Maurya
Chapter 4.2 Generalized Dual to Exponential Ratio Type Estimator for the Finite Population Mean in the Presence of Non-Response
Sara Zahid, Asifa Kamal, Mahnaz Makhdum
Chapter 4.3 A Comprehensive Tutorial on Factor Analysis with R: Empirical Insights from an Educational Perspective
Olushina Olawale Awe, Philip Jegede, and James Cochran
Chapter 4.4 Retrieval of Unstructured Datasets and R Implementation of Text Analytics in the Climate Change Domain
Olusesan Michael Awoleye, Albert Ayorinde Abegunde, and Olushina Olawale Awe
Chapter 4.5 Control Charts and Capability Analysis for Statistical Process Control
Arun Kumar Sinha and Richa Vatsa
Chapter 4.6 Determination of Sample Size and Errors
Haftom Temesgen Abebe
Chapter 5 New approaches to statistical learning in developing countries
Chapter 5.1 Active and agnostic: A multidisciplinary approach to statistical learning
Leonardo César Teonácio Bezerra
Chapter 5.2 Modernizing the Curricula of Statistics Courses through Statistical Learning
Marcus Alexandre Nunes
Chapter 5.3 The Ten Most Similar Players: How to use Statistics to Find the Best Soccer Players for Your Team
Thiago Valentin Marques
Chapter 5.4 Teaching and Learning Statistics in Nigeria with the Aid of Computing and Survey Datasets from International Organizations
Monday Osagie Adenomon
Chapter 6 Importance of Statistics in Urban Planning and Development
Chapter 6.1 Assessment of Indicators of Urban Housing Quality in Owerri Municipal, Nigeria: A Factor Analysis Approach
Ifeoma Evan Uzoma
Chapter 6.2 Role of Gender Disaggregate Statistics in Urban Planning and Development in Pakistan
Lubna Naz, Muhammad Umair
Chapter 6.3 Youth Empowerment and Sustainable Urban Development
Arun Kumar Sinha and Markandey Rai
Chapter 6.4 A Statistical Approach to Urbanization: The Case of Turkey
Yakup Ari
Chapter 7 Statistical literacy in the wider society
Chapter 7.1 Statistical Literacy and Domain Experts: Evidence from UI-LISA
Serifat. A. Folorunso, Tomiwa. T. Oyelakin, Oluwaseun. A. Otekunrin and Olawale. B. Akanbi
Chapter 7.2 Article 2: Media Presentation of Statistical Reports: How Adequate and Accurate?
Serifat A. Folorunso, Adewale P. Onatunji, Saheed A.Afolabiand, Morufu A. Folorunso
Chapter 7.3 The Challenges of Effective Planning in Developing Countries: Appraisal of Statistics Literacy
Morufu A. Folorunso, Serifat A. Folorunso and Adedayo. A. Adepoju
Chapter 7.4 Role of Statistics in Policy making for National Development
Oluwadare O. Ojo, Tolulope T. Osinubi and Serifat A. Folorunso
Chapter 8 Building Biostatistics Capacity in Developing Countries
Olushina Olawale Awe, Adeniyi Francis Fagbamigbe, Egwim Evans, Abdulhakeem Abayomi Olorukooba, Oluwafunmilola Deborah Awe, Mumini Idowu Adarabioyo, Olumide Charles Ayeni and Bayowa Teniola Babalola
Chapter 9 Technology and Multimedia in Statistical Education and Collaboration
Ezra Gayawan, Omodolapo Somo-Aina, Olabimpe B. Aladeniyi, Seyifunmi Michael Owoeye, Oluwatobi Michael Aduloju, Adetola Adedamola Adediran, and Olamide Seyi Orunmoluyi
Chapter 10 Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19
Ezra Gayawan, Adeshina I. Adekunle, Anton Pak and Oyelola A. Adegboye
Bonus Chapter Systematically Improving Your Collaboration Practice in the 21st Century
Doug Zahn
Biography
O. Olawale Awe, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Brazil
Eric Vance, Laboratory for Interdisciplinary Statistical Analysis, University of Colorado Boulder, USA
Kim Love, K. R. Love Quantitative Consulting and Collaboration
“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 contain 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
