This report presents a review of the statistical practices of 30 journals representative of the second language field. A review of 150 articles showed a number of prevalent statistical violations including incomplete reporting of reliability, validity, non-significant results, effect sizes, and assumption checks as well as making inferences from descriptive statistics and failing to correct for multiple comparisons. Scopus citation analysis metrics and whether a journal is SSCI-indexed were predictors of journal statistical quality. No clear evidence was obtained to favor the newly introduced CiteScore over SNIP or SJR. Implications of the results are discussed.
!!!All Science Journal Classification (ASJC) codes