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The effect of three basic task features on the sensitivity of acceptability judgment tasks
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In: Glossa: a journal of general linguistics (2016-2021) ; https://hal.archives-ouvertes.fr/hal-03101517 ; Glossa: a journal of general linguistics (2016-2021), Ubiquity Press, 2020, 5 (1), pp.72. ⟨10.5334/gjgl.980⟩ (2020)
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COMPARING SOLUTIONS TO THE LINKING PROBLEM USING AN INTEGRATED QUANTITATIVE FRAMEWORK OF LANGUAGE ACQUISITION
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In: LANGUAGE, vol 95, iss 4 (2019)
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Colorless green ideas do sleep furiously: gradient acceptability and the nature of the grammar
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In: De Gruyter (2019)
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Rhetorical questions as questions
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In: Sinn und Bedeutung; Bd. 11 (2007): Proceedings of Sinn und Bedeutung 11; 121-133 ; Proceedings of Sinn und Bedeutung; Vol 11 (2007): Proceedings of Sinn und Bedeutung 11; 121-133 ; 2629-6055 (2019)
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Grammar and the use of data
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In: Sprouse, Jon; & Schütze, Carson T. (2017). Grammar and the use of data. In The Oxford Handbook of English Grammar Location: Oxford University Press. UCLA: Retrieved from: http://www.escholarship.org/uc/item/0n100842 (2017)
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Design sensitivity and statistical power in acceptability judgment experiments
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 14 ; 2397-1835 (2017)
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Abstract:
Previous investigations into the validity of acceptability judgment data have focused almost exclusively on type I errors (or false positives) because of the consequences of such errors for syntactic theories (Sprouse & Almeida 2012; Sprouse et al. 2013). The current study complements these previous studies by systematically investigating the type II error rate (false negatives), or equivalently, the statistical power, of a wide cross-section of possible acceptability judgment experiments. Though type II errors have historically been assumed to be less costly than type I errors, the dynamics of scientific publishing mean that high type II error rates (i.e., studies with low statistical power) can lead to increases in type I error rates in a given field of study. We present a set of experiments and resampling simulations to estimate statistical power for four tasks (forced-choice, Likert scale, magnitude estimation, and yes-no), 50 effect sizes instantiated by real phenomena, sample sizes from 5 to 100 participants, and two approaches to statistical analysis (null hypothesis and Bayesian). Our goals are twofold (i) to provide a fuller picture of the status of acceptability judgment data in syntax, and (ii) to provide detailed information that syntacticians can use to design and evaluate the sensitivity of acceptability judgment experiments in their own research.
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Keyword:
Acceptability judgments; experimental syntax; linguistic methodology; statistical power
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URL: https://www.glossa-journal.org/jms/article/view/gjgl.236 https://doi.org/10.5334/gjgl.236
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Investigating Variation in Island Effects: A Case Study of Norwegian Wh-Extraction
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Experimental syntax and island effects
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Sprouse, Jon. - Cambridge [u.a.] : Cambridge Univ. Pr., 2013
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MPI-SHH Linguistik
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A comparison of informal and formal acceptability judgments using a random sample from Linguistic Inquiry 2001-2010
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In: LINGUA, vol 134 (2013)
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Syntactic Islands and Learning Biases: Combining Experimental Syntax and Computational Modeling to Investigate the Language Acquisition Problem
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In: Pearl, Lisa; & Sprouse, Jon. (2013). Syntactic Islands and Learning Biases: Combining Experimental Syntax and Computational Modeling to Investigate the Language Acquisition Problem. Language Acquisition, 20(1), 23 - 68. doi:10.1080/10489223.2012.738742. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1tf6r4cf (2013)
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