Statistical approaches to interpret multiple regression results

Leily Ziglari
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Abstract

The importance of taking both β weights and structure coefficients in interpreting regression studies, especially in applied linguistics papers, has often been ignored. The purpose of the present study was to explain both the regression coefficient and the structure coefficient to support the view that the inclusion of these two coefficients will augment the interpretation of results. Some examples of misinterpretations in regression studies were provided. Then the author applied both β weights and structure coefficients in interpreting the results of an experimental study in applied linguistics. β weights and structure coefficients were applied to investigate the predictive power of three predictors on the grammatical acquisition of a pair of twins. The results highlighted the importance of both coefficients in multiple regression studies.

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解释多元回归结果的统计方法
在解释回归研究时,特别是在应用语言学论文中,β 权重和结构系数的重要性常常被忽视。本研究的目的是解释回归系数和结构系数,以支持纳入这两个系数将增强结果解释的观点。作者列举了回归研究中一些误解的例子。然后,作者运用 β 权重和结构系数解释了一项应用语言学实验研究的结果。作者应用 β 权重和结构系数研究了三个预测因子对一对双胞胎语法习得的预测能力。结果凸显了这两个系数在多元回归研究中的重要性。
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来源期刊
Methods in Psychology (Online)
Methods in Psychology (Online) Experimental and Cognitive Psychology, Clinical Psychology, Developmental and Educational Psychology
CiteScore
5.50
自引率
0.00%
发文量
0
审稿时长
16 weeks
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