Study quality in quantitative l2 research (1990-2010): A methodological synthesis and call for reform
By Luke Plonsky. 2014
173 citations recorded by the source corpus.
Subfields: Language and Linguistics
View Paper: https://www.semanticscholar.org/paper/de212dd56158679c46e377ec12eb9ac39eca098d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Language and Linguistics
Citations in the corpus
- Task-Based Learner Production: A Substantive and Methodological Review (2016, background): “The field of L2 research has also been weakened by dogmatic adherence to and overuse of null hypothesis significance testing (see Norris, 2015; Plonsky, 2015b), a problem compounded by the small samples common to the field (Plonsky, 2014).”
- Eta- and partial eta-squared in L2 research: A cautionary review and guide to more appropriate usage (2018, background): “The present study builds on the momentum surrounding methodological reform in applied linguistics, including concerns expressed in recent years over, for example, study quality (Plonsky, 2013, 2014) and statistical literacy (Loewen et al., 2014).”
- The seven sins of L2 research: A review of 30 journals’ statistical quality and their CiteScore, SJR, SNIP, JCR Impact Factors (2019, background): “A number of methodologists (e.g. Brown, 2004; Nassaji, 2012; Norris et al., 2015; Plonsky, 2013; 2014, among others) have emphasized that inferential tests must have all their relevant information presented for transparency and replicability.”
- MULTIPLE REGRESSION AS A FLEXIBLE ALTERNATIVE TO ANOVA IN L2 RESEARCH (2016, result): “Moreover, our reliance on ANOVA appears to be growing even stronger in recent years, outpacing increases in other analyses during the same period (Plonsky, 2014).”
- Corpus Use in Language Learning: A Meta-Analysis. (2017, methodology): “In other words, quality can be treated as an empirical part of the investigation (Norris & Ortega, 2006, p. 18–19; Ortega, 2010, p. 121; Plonsky, 2014, p. 466) and may give rise to recommendations for future research.”
- Domain definition and search techniques in meta-analyses of L2 research (Or why 18 meta-analyses of feedback have different results) (2015, background): “…of reasons including (1) the accrual of additional studies, (2) analyses of change over time in methods, outcomes, or other studies features (see Plonsky, 2014; Plonsky and Gass, 2011), (3) implementation of improved meta-analytic techniques and (4) as a means to target broader, narrower, or…”
- How Big Is “Big”? Interpreting Effect Sizes in L2 Research (2014, methodology): “Since the introduction of meta-analysis to L2 research, the field has seen an increase in reporting effect sizes or the descriptive statistics required to calculate effect sizes (Mackey & Goo, 2007; Plonsky, 2014; Plonsky & Gass, 2011).”
- TBLT implementation and evaluation: A meta-analysis (2019, methodology): “In his methodological synthesis of study quality in quantitative L2 research, Plonsky (2014) found missing data to be a persistent problem in SLA research and called for reform in reporting practices.”
- A methodological synthesis and meta-analysis of judgment tasks in second language research (2020, methodology): “…reporting practices (Larson-Hall and Plonsky, 2015); replication research (Marsden et al., 2018a); quantitative analyses and reporting practices (Plonsky, 2013, 2014); study designs (Marsden and Torgerson, 2012; Plonsky and Gonulal, 2015); multiple regression (Plonsky and Ghanbar, 2018; Plonsky…”