“…Overall, research aims/questions and hypotheses of the quantitative studies in our corpus matched their data analysis methods. For example, studies that aimed to predict an outcome, to observe effects, or to investigate relationships (Sykes, 1993) tended to choose predictive data analysis options, such as regression (see Cordeiro et al, 2020) and CFA and SEM (see Kim & Park, 2019), while studies that used how questions, for example "to analyze how children are prepared for learning to write and how this skill is developed" (see Kuzeva et al, 2015) or differences between groups (see Silva et al, 2010), chose data collection methods that lead to the use of inferential data analysis methods such as ANO-VA and t-tests (see Beers & Nagy, 2011;Oppenheimer et al, 2017 On the other hand, while qualitative studies asked similar questions to quantitative studies, such as how questions and to investigate relationships between writing and other aspects, it is, however, clear that these questions were broader and more intent upon generating new knowledge on a particular topic rather than identifying predictors. For example, the qualitative studies in our corpus which used ethnography used what and how questions (Chapman, 2002;Compton-Lilly, 2014;Elf, 2016;Roozen, 2008;.…”