What question did this study set out to answer?

To assess the distribution of effect sizes across second language research and develop domain-specific benchmarks to replace generic interpretation standards.

October 15, 2014Language Learning

How Big Is “Big”? Interpreting Effect Sizes in L2 Research

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Authors

LPLuke PlonskyNorthern Arizona University FOFrederick L. OswaldRice University

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Implication

Quantitative synthesis reveals Cohen's benchmarks underestimate effect sizes in second language research, highlighting the need for domain-specific evaluation metrics.

Key Points

To assess the distribution of effect sizes across second language research and develop domain-specific benchmarks to replace generic interpretation standards.
Synthesized standardized mean differences (d) and correlation coefficients (r) from 346 primary studies and 91 meta-analyses across second language research (total N > 604,000).
Compared empirical effect distributions against standard Cohen benchmarks (small = .2/.1, medium = .5/.3, large = .8/.5).
Cohen's traditional benchmarks systematically underestimate the typical effect sizes observed in second language acquisition research.
Provided an empirical, discipline-specific scale for interpreting effect sizes alongside eight methodological guidelines accounting for theoretical maturity, experimental manipulation strength, and publication bias.

Cite This Study

Plonsky et al. (2014) studied this question.

synapsesocial.com/papers/69d76e46db9d5e1bf4b8a720 https://doi.org/10.1111/lang.12079

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Implication

Quantitative synthesis reveals Cohen's benchmarks underestimate effect sizes in second language research, highlighting the need for domain-specific evaluation metrics.

How Big Is “Big”? Interpreting Effect Sizes in L2 Research

Discussion

Member takes

Implication

Key Points

Cite This Study

How Big Is “Big”? Interpreting Effect Sizes in L2 Research

Discussion

Member takes

Implication

Key Points

Cite This Study

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