Top Five Statistical Methods Used in Applied Linguistics: Focusing on (hierarchical) regression

Link to the Zoom meeting:

https://hkbu.zoom.us/j/91565666136 Meeting ID: 915 6566 6136

This talk presents an overview of the five most commonly used statistical methods: t-test, ANOVA, correlation, chi-square test, and regression (Wei et al., 2019); among these “Top Five” methods, regression is arguably most useful (Plonsky & Oswald, 2017). This talk highlights the importance of effect size with examples from published research because effect size is deemed more important than the statistical significance level (viz. the p value), which tends to be the only focus in the “old statistics” paradigm (cf. Cumming, 2014). This talk also illustrates the benefits and pitfalls concerning the use of hierarchical regression, which is most instrumental in ascertaining the unique contribution of each predictor (independent variable) to the dependent variable, as this variant of regression is precited to “be used more frequently” (Wei et al., 2020:7) in future applied linguistic studies.

Rining WEI (Tony), PhD, is…