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References from The winner's curse and related perils of low statistical power − spelled out and illustrated. Local targets link to admitted publications; unresolved targets remain external evidence.
A variance explanation paradox: When a little is a lot
10.1037/0033-2909.97.1.129 · 1985 · External reference
Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review
10.1037/0021-9010.90.1.94 · 2005 · External reference
Enhancing statistical inference in psychological research via prospective and retrospective design analysis
2019 · External reference
Unresolved reference
2008 · External reference
The rules of the game called psychological science
10.1177/1745691612459060 · 2012 · External reference
Researchers’ intuitions about power in psychological research
10.1177/0956797616647519 · 2016 · External reference
Unresolved reference
2021 · External reference
The fractal nature of nature: Power laws, ecological complexity and biodiversity
10.1098/rstb.2001.0993 · 2002 · External reference
How many participants do we have to include in properly powered experiments? A tutorial of power analysis with reference tables
10.5334/joc.72 · 2019 · External reference
Power considerations in bilingualism research: Time to step up our game
10.1017/s1366728920000437 · 2021 · External reference
Power analysis and effect size in mixed effects models: A tutorial
10.5334/joc.10 · 2018 · External reference
Preventing the ends from justifying the means: withholding results to address publication bias in peer-review
10.1186/s40359-016-0167-7 · 2016 · External reference
Power failure: Why small sample size undermines the reliability of neuroscience
2013 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Correcting for bias in psychology: A comparison of meta-analytic methods
10.1177/2515245919847196 · 2019 · External reference
Unresolved reference
External reference
Unresolved reference
1988 · External reference
Factorial experiments: Efficient tools for evaluation of intervention components
10.1016/j.amepre.2014.06.021 · 2014 · External reference
Unresolved reference
2011 · External reference
Understanding mixed-effects models through data simulation
10.1177/2515245920965119 · 2021 · External reference
The processes of second language acquisition
2004 · External reference
Unresolved reference
2010 · External reference
Statistics for evaluating pre-post change: relation between change in the distribution center and change in the individual scores
10.3389/fpsyg.2018.02696 · 2019 · External reference
How big are effect sizes in international education studies?
10.3102/01623737221079646 · 2022 · External reference
Do pressures to publish increase scientists' bias? An empirical support from US states data
10.1371/journal.pone.0010271 · 2010 · External reference
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
10.3758/bf03193146 · 2007 · External reference
Unresolved reference
2012 · External reference
Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers
10.1016/j.brat.2017.05.013 · 2017 · External reference
Unresolved reference
2018 · External reference
The N-pact factor: Evaluating the quality of empirical journals with respect to sample size and statistical power
10.1371/journal.pone.0109019 · 2014 · External reference
Publication bias in the social sciences: Unlocking the file drawer
10.1126/science.1255484 · 2014 · External reference
Evaluating effect size in psychological research: Sense and nonsense
10.1177/2515245919847202 · 2019 · External reference
The failure of null hypothesis significance testing when studying incremental changes, and what to do about it
10.1177/0146167217729162 · 2018 · External reference
Beyond power calculations: Assessing type S (sign) and type M (magnitude) errors
10.1177/1745691614551642 · 2014 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2013 · External reference
Type S error rates for classical and Bayesian single and multiple comparison procedures
10.1007/s001800000040 · 2000 · External reference
Effect size guidelines for individual differences researchers
10.1016/j.paid.2016.06.069 · 2016 · External reference
Principles of multilevel modelling
10.1093/ije/29.1.158 · 2000 · External reference
Estimation of effect size under nonrandom sampling: The effects of censoring studies yielding statistically insignificant mean differences
10.3102/10769986009001061 · 1984 · External reference
The abuse of power: The pervasive fallacy of power calculations for data analysis
10.1198/000313001300339897 · 2001 · External reference
Unresolved reference
2010 · External reference
Why most discovered true associations are inflated
10.1097/ede.0b013e31818131e7 · 2008 · External reference
Unresolved reference
External reference
Mixed-effects design analysis for experimental phonetics
10.1016/j.wocn.2018.05.005 · 2018 · External reference
Interpreting effect sizes of education interventions
10.3102/0013189x20912798 · 2020 · External reference
Unresolved reference
External reference
Coding and interpretation of effects in analysis of data from a factorial experiment
2018 · External reference
Simulation-based power analysis for factorial analysis of variance designs
10.1177/2515245920951503 · 2021 · External reference
Estimating effect size: Bias resulting from the significance criterion in editorial decisions
10.1111/j.2044-8317.1978.tb00578.x · 1978 · External reference
Unresolved reference
2010 · External reference
The effectiveness of second language pronunciation Instruction: A meta-analysis
10.1093/applin/amu040 · 2015 · External reference
Unresolved reference
2007 · External reference
Unresolved reference
2015 · External reference
The utility and application of mixed-effects models in second language research
10.1111/lang.12117 · 2015 · External reference
Inferential statistics in Language Teaching Research: A review and ways forward
10.1177/1362168816649979 · 2016 · External reference
Small samples in instructed second language acquisition research
10.1111/modl.12700 · 2021 · External reference
The role of the linguistic environment in second language acquisition
1996 · External reference
Unresolved reference
2013 · External reference
A note on Type S/M errors in hypothesis testing
10.1111/bmsp.12132 · 2019 · External reference
Male–female differences: A computer simulation
10.1037/0003-066x.51.2.157 · 1996 · External reference
The persistence of underpowered studies in psychological research: Causes, consequences, and remedies
10.1037/1082-989x.9.2.147 · 2004 · External reference
Sample size planning for statistical power and accuracy in parameter estimation
10.1146/annurev.psych.59.103006.093735 · 2008 · External reference
Unresolved reference
2020 · External reference
Adjusting for publication bias in meta-analysis: An evaluation of selection methods and some cautionary notes
10.1177/1745691616662243 · 2016 · External reference
The unicorn, the normal curve, and other improbable creatures
10.1037/0033-2909.105.1.156 · 1989 · External reference
Multisite replication in second language acquisition research: Attention to form during listening and reading comprehension
10.1111/lang.12292 · 2018 · External reference
Methods for testing publication bias in ecological and evolutionary meta-analyses
10.1111/2041-210x.13724 · 2021 · External reference
Effect-driven sample sizes in second language instructed vocabulary acquisition
10.1111/modl.12692 · 2021 · External reference
Sample size planning in quantitative L2 research: A pragmatic approach
10.1017/s0272263120000017 · 2020 · External reference
Effectiveness of L2 instruction: A research synthesis and quantitative meta-analysis
10.1111/0023-8333.00136 · 2000 · External reference
Estimating the reproducibility of psychological science
2015 · External reference
Study quality in SLA: An assessment of designs, analyses, and reporting practices in quantitative L2 research
10.1017/s0272263113000399 · 2013 · External reference
Quantitative research methods, study quality, and outcomes: The case of interaction research
10.1111/j.1467-9922.2011.00640.x · 2011 · External reference
How big is ‘big’? Interpreting effect sizes in L2 research
10.1111/lang.12079 · 2014 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2017 · External reference
The file drawer problem and tolerance for null results
10.1037/0033-2909.86.3.638 · 1979 · External reference
A methodological review of meta-analyses of the effectiveness of clinical psychology treatments
10.3758/s13428-017-0973-8 · 2018 · External reference
The meaningfulness of effect sizes in psychological research: Differences between sub-disciplines and the impact of potential biases
10.3389/fpsyg.2019.00813 · 2019 · External reference
Power is indeed irrelevant in interpreting completed studies
10.1136/bmj.325.7375.1304 · 2002 · External reference
The trim-and-fill method for publication bias: Practical guidelines and recommendations based on a large database of meta-analyses
10.1097/md.0000000000015987 · 2019 · External reference
False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant
10.1177/0956797611417632 · 2011 · External reference
Unresolved reference
External reference
What meta-analyses reveal about the replicability of psychological research
10.1037/bul0000169 · 2018 · External reference
A tutorial on Bayes factor design analysis using an informed prior
10.3758/s13428-018-01189-8 · 2019 · External reference
Unresolved reference
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Unresolved reference
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The statistical significance filter leads to overoptimistic expectations of replicability
10.1016/j.jml.2018.07.004 · 2018 · External reference
A systematic review of meta-analyses in second language research: current practices, issues, and recommendations
2023 · External reference
Unresolved reference
2012 · External reference
