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Promoting Statistical Practice and Collaboration in Developing Countries



ISBN 9781032195551
Published June 8, 2022 by Chapman & Hall
634 Pages 78 Color Illustrations

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Book Description

"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

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

...
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Editor(s)

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

Reviews

“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