| dc.contributor.author | Embeywa H.E.*1 | |
| dc.contributor.author | Amukowa W.2 | |
| dc.date.accessioned | 2025-02-25T17:23:30Z | |
| dc.date.available | 2025-02-25T17:23:30Z | |
| dc.date.issued | 2020-07-19 | |
| dc.identifier.issn | 2663-3183 | |
| dc.identifier.uri | http://repository.lukenyauniversity.ac.ke/xmlui/handle/1/80 | |
| dc.description.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 Meta-Analysis 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 meta-analysis 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. | en_US |
| dc.description.sponsorship | Lukenya University | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Lukenya University | en_US |
| dc.subject | Educational Research, Meta-analysis, Effect-Size, Sampling, Reliability, Statistics | en_US |
| dc.title | META-ANALYSIS MODEL FOR EDUCATION IN PANDEMIC TIMES | en_US |
| dc.type | Article | en_US |