Bootstrapping in Applied Linguistics: Assessing its Potential Using Shared Data

Bootstrapping in Applied Linguistics: Assessing its Potential Using Shared Data
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应用语言学的引导:使用共享数据评估其潜力

DOI:
10.1093/applin/amu001
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发表时间:
2014
影响因子:
3.6
通讯作者:
Geoffrey T. LaFlair
Geoffrey T. LaFlair
中科院分区:
人文科学2区
文献类型:
--
作者:
Luke Plonsky;Jesse Egbert;Geoffrey T. LaFlair

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参数分析(如t检验和方差分析)是定量应用语言学研究中常用的统计检验方法(如果不是默认的话)(Gass 2009)。然而,应用统计学家和一位应用语言学家(Larson-Hall 2010, 2012; Larson-Hall and Herrington 2010)认为,这种方法可能不适合小样本和/或非正态分布的数据(例如Wilcox 2003),这两种方法在第二语言(L2)研究中都很常见。他们建议采用“稳健统计”方法,比如自举法,这是一种非参数程序,从观察到的数据集中随机抽样,以产生一个模拟的、但更稳定、统计上更准确的结果。本研究通过重新分析26项应用语言学研究的原始数据来检验自举的有效性。我们的结果没有发现II型错误(假阴性)的证据。然而,16个具有统计学意义的结果中有4个没有被重复(即I型错误“不匹配”比alpha值0.05高5倍)。我们讨论了在更广泛的方法论问题和应用语言学改革的背景下使用引导的经验证明的建议(见Plonsky 2013, 2014)。
Parametric analyses such as t tests and ANOVAs are the norm—if not the default—statistical tests found in quantitative applied linguistics research (Gass 2009). Applied statisticians and one applied linguist (Larson-Hall 2010, 2012; Larson-Hall and Herrington 2010), however, have argued that this approach may not be appropriate for small samples and/or nonnormally distributed data (e.g. Wilcox 2003), both common in second language (L2) research. They recommend instead ‘robust statistics’ such as bootstrapping, a nonparametric procedure that randomly resamples from an observed data set to produce a simulated but more stable and statistically accurate outcome. The present study tests the usefulness of bootstrapping by reanalyzing raw data from 26 studies of applied linguistics research. Our results found no evidence of Type II error (false negative). However, 4 out of 16 statistically significant results were not replicated (i.e. a Type I error ‘misfit’ five times higher than an alpha of .05). We discuss empirically justified suggestions for the use of bootstrapping in the context of broader methodological issues and reforms in applied linguistics (see Plonsky 2013, 2014).
DOI: 10.1111/0023-8333.00136
发表时间: 2000-09-01
期刊: LANGUAGE LEARNING
影响因子: 4.4
作者:
Norris, JM;Ortega, L
通讯作者: Ortega, L
K.Nagamine:《介子科学导论》剑桥大学出版社。
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