Meta-Analysis Model for Education in Pandemic Times ( Embeywa H.E.* 1 , Amukowa W. 2 Machakos University* 1,2)

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ABSTRACT
During Pandemic times like the current COVID-19, response protocols pose challenges to researchers especially in regard to data collection. The guidelines such as restriction of movement, social distancing and age-related protocols that guide social groupings and interaction become constraints to research designs that rely heavily on human interaction/contact. The pandemic brings in a new normal for educational research in terms of approach to research
design, data collection and data analysis. This necessitates two distinct ways in conducting educational research: The use of MetaAnalysis as an appropriate design; and, the availability of quick reference tools for Effect Size Calculation among studies already undertaken in related fields. This paper discusses ways in which educational research
could exploit meta-analysis in achieving reliable results by: (a) Proposing metaanalysis as the most viable option for
research design; (b) Recommending a set of tools for different options on Effect-Size Calculation and (c) Proposing a framework for mentoring postgraduate students on this
new approach. Keywords: Educational Research, Metaanalysis, Effect-Size, Sampling, Reliability, Statistics

Description

1.0 INTRODUCTION
During Pandemic times like the current COVID-19, response protocols pose challenges to researchers especially in regard
to data collection. The guidelines on social distancing and the introduction of age-related protocols that guide social groupings and interaction are a big hindrance to research designs that rely heavily on human
interaction/contact.
This context has immediately created the challenge of accessibility to human sampling. Following this new normal, an approach to Research Design and data analysis is inevitable to guarantee continued research without magnifying the effects of the pandemic.

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