Abstract

Recent surveys of published reports of quasi-experimental studies of second language acquisition (SLA) indicate that low statistical power is pervasive owing in large part to small average sample sizes. The surveys do not indicate a marked trend toward samples that are larger. After illustrating the problem of low power in SLA research, we review arguments that increased replication of original studies can enable small-sample quantitative researchers to make firmer contributions to the field of SLA, especially if estimation of effect sizes and the practice of on-going statistical meta-analysis become routine. As a case study, we describe a series of small-sample quasi-experiments of which the first five found a short term positive mnemonic effect of interword, intra-phrase vowel repetition (or assonance) on learners’ retention of the forms of L2 collocations (e.g. strong bond vs. firm hold), whereas a sixth study newly reported here found negative effects. The case study illustrates the roles of replication and meta-analysis in successive re-adjustments of an original estimate. More specifically, the case study illustrates a meta-analytic approach to making sense of conflicting outcomes. All in all, it illustrates why small-sample researchers need to adopt a more long-term view.

Highlights

  • It has been pointed out that in the field of second language acquisition (SLA), replications of quasi-experimental and other quantitative studies rarely find their way into print, whereas in more mature fields an experimental finding is likely to be given little or no weight until it has been replicated and the results made known (Mackey, 2013; Porte, 2012a)

  • With so much recent attention given to the issue of sample size, we consider the need for more replication studies and discuss a profitable use of the results

  • Throughout this article, we focus exclusively on ‘external’ replication, whereby an original study is in key respects re-conducted by the same or different researchers so that one or more of the original research questions may be re-addressed with recourse to inferential statistics, and with data being collected

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Summary

Introduction

It has been pointed out that in the field of SLA, replications of quasi-experimental and other quantitative studies rarely find their way into print, whereas in more mature fields (e.g. the natural sciences) an experimental finding is likely to be given little or no weight until it has been replicated and the results made known (Mackey, 2013; Porte, 2012a). Meta-analysis on any scale can enhance the contributions of small-sample quantitative research to the development of shared knowledge—provided, that the studies that get meta-analyzed are reasonably well-conceived, well-designed, and well-conducted, and that they either report observed effect sizes or else provide the statistics such as means and SDs that enable meta-analysts to calculate effect sizes retrospectively.

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