Title

Detecting bias in meta-analyses of distance education research: big pictures we can rely on

Document Type

Article

Source of Publication

Distance Education

Publication Date

1-1-2014

Abstract

© 2014, © 2014 Open and Distance Learning Association of Australia, Inc. This article has two interrelated purposes. The first is to explain how various forms of bias, if introduced during any stage of a meta-analysis, can provide the consumer with a misimpression of the state of a research literature. Five of the most important bias-producing aspects of a meta-analysis are presented and discussed. Second, armed with this information, we examine 15 meta-analyses of the literatures of distance education (DE), online learning (OL), and blended learning (BL), conducted from 2000 to 2014, with the intention of assessing potential sources of bias in each. All of these meta-analyses address the question: “How do students taking courses through DE, OL, and BL compare to students engaged in pure classroom instruction in terms of learning achievement outcomes?” We argue that questions asked by primary researchers must change to reflect issues that will drive improvements in designing and implementing DE, OL, and BL courses.

ISSN

0158-7919

Publisher

Routledge

Volume

35

Issue

3

First Page

271

Last Page

293

Disciplines

Education

Keywords

blended and online learning, distance education, meta-analysis, quality of research synthesis

Scopus ID

84908612528

Indexed in Scopus

yes

Open Access

no

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