Multiple Regression in L2 Research: A Methodological Synthesis and Guide to InterpretingR2Values

Abstract Multiple regression is a family of statistics used to investigate the relationship between a set of predictors and a criterion (dependent) variable. This procedure is applicable in a variety of research contexts and data structures. Consequently, and similar to quantitative traditions in sister‐disciplines such as education and psychology (see Skidmore see Larson–Hall & Plonsky, 2015). The distribution of R 2 values (median = .32) is described to facilitate utilization and interpretation of regressions models. We also provide specific, empirically grounded recommendations for future research.