Practical workshop on conducting open and reproducible meta-analyses using ‘metafor’ R package

Recently, there has been growing concern about the reproducibility of scientific research, particularly in the social sciences. Meta-analysis is one of the widely used statistical technique to synthesize results from numerous studies to estimate the overall effect size of a particular phenomenon. Conducting open and reproducible meta-analyses is critical for ensuring the transparency and validity of research findings. To achieve this, R, a free and open-source statistical software can be utilized as it provides various statistical options for conducting meta-analyses. R allows researchers to fully document their analysis process, making it simpler for others to replicate the study and validate its results. In addition, R provides a range of packages that allow for advanced meta-analytic techniques, such as meta-regression and reliability generalization meta-analysis. In this workshop, we will walk through the steps for conducting an open and reproducible meta-analysis using ‘the metafor R package. We will cover data acquisition and management, effect size estimation, publication bias assessment, and sensitivity analyses. By the end of this workshop, you will have the necessary skills to conduct a meta-analysis using R that is transparent, reproducible, and robust.   


Reasons for conducting a meta-analysis

Benefits of conducting a meta-analysis      

Typical research questions a meta-analysis address  

Importance of open and reproducible meta-analyses      

Conducting a meta-analysis - Search, coding, and pre-registration    

Issues and challenges in conducting meta-analyses  

Open-Source Framework templates

Date and Time:



Kabiru Maitama Kura is an Assistant Professor of Human Resource Management and Organisational Behavior at the UTB School of Business, Universiti Teknologi Brunei. He is also a Visiting Associate Professor (Reader) at the Department of Business Management, Capital City University Kano, Nigeria. Before joining UTB School of Business, he was a Senior Lecturer/Director School of Remedial and Basic Studies at the Federal Polytechnic Kaura Namoda, Nigeria. Kabiru is an experienced researcher and data analyst with over 10 years of experience in teaching and using various statistical Softwares, such as SPSS, Jamovi, SmartPLS and R.

He received his Doctor of Philosophy (Ph.D.) in Human Resource Management from the Universiti Utara Malaysia. His research focuses on workplace deviance, counterproductive work behavior, organizational citizenship behavior, job attitudes, personality and individual differences, leadership, green workplace behavior, safety performance, and diversity management. Kabiru has published several papers in the reputable journals, including the Global Business Review, Journal of African Business, International Journal of Public Administration, African Journal of Economic and Management Studies, International Journal of Business and Society, and SAGE Open.

He is a member of various professional bodies, including the Academy of Management (AOM), British Academy of Management (BAM), American Psychological Association (APA), Nigerian Institute of Management (Chartered), Commodity Brokers Association of Nigeria, and Institute of Management Consultants of Nigeria. Kabiru was the chairman of the Nigerian Institute of Management (Chartered), Zaria Chapter. Kabiru is excited to share his knowledge and expertise with participants in the upcoming meta-analyses workshop.