In SLA research, dependence in frequency data is a prevalent problem (Hatch &Lazaraton, 1991). Researchers usually regard the data as being independent and subject them tostatistical analyses. Another problem in frequency data analysis in SLA research is the exclusionof interaction terms. This is the case because of the use of chi-square analysis or the unpopularityof multifactorial frequency data analyses. This study investigates the violation of the“independent observation” assumption as well as the effect of includinginteraction terms in frequency data analysis. Reanalyzing a couple of published data sets, thepaper argues in favor of using multifactorial frequency data analyses over multiple chi-squares inorder to take into account dependence and interaction of the frequency data. A set ofrecommendations for SLA researchers will be provided when statistically analyzing frequencydata in SLA research.