Methodological synthesis of research using multi-dimensional analysis

Larissa Goulart, Margaret Wood
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引用次数: 3

Abstract

Since 1984 when Douglas Biber first conducted a multi-dimensional (MD) analysis, MD analyses have expanded in scope. However, there has yet to be a comprehensive survey of this body of research. This methodological synthesis conducts a large-scale survey of MD analyses dating back to Biber’s (1984) dissertation. An unprecedented total of 230 studies including peer-reviewed articles and dissertations were coded for a variety of study characteristics and methodological choices. The results of this survey show that researchers have made a wide variety of methodological decisions including the choice of tagger, factor loading and communality cut-off values, and types of additional statistical analyses conducted. It was also found that reporting practices of MD analyses have been less than optimal, lacking information necessary for the replicability of the study. The study concludes with a set of recommendations for future MD analyses in relation to reporting practices and the goals of future studies.
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使用多维分析的研究方法综合
自1984年Douglas Biber首次进行多维度(MD)分析以来,MD分析的范围不断扩大。然而,目前还没有对这方面的研究进行全面调查。这种方法综合进行了大规模的MD分析调查,可以追溯到Biber(1984)的论文。包括同行评议文章和论文在内的230项研究史无前例地根据各种研究特征和方法选择进行了编码。本次调查的结果表明,研究人员已经做出了各种各样的方法决定,包括标记者的选择、因子负荷和社区截止值,以及进行的额外统计分析的类型。研究还发现,MD分析的报告实践不够理想,缺乏研究可重复性所需的信息。该研究最后提出了一套建议,以供未来医学分析与报告实践和未来研究的目标有关。
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