SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
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project_muse_628201.pdf
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462.18 KB
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Author(s)
Graff, Peter
Hartman, Jeremy
Mahowald, Kyle Adam
Gibson, Edward A
Date Issued
September 2016
Journal
Language
Publisher
Johns Hopkins University Press
Citation
Mahowald, Kyle, Peter Graff, Jeremy Hartman, and Edward Gibson. “SNAP Judgments: A Small N Acceptability Paradigm (SNAP) for Linguistic Acceptability Judgments: Online Appendices.” Language 92, no. 3 (2016): s1–s14. © 2016 Johns Hopkins University Press
Version
Final published version
Abstract
‘z-bad’ is the average z-score for the hypothesized ‘bad’ option. ‘z-good’ is the average z-score for the hypothesized good option. ‘Z.diff’ is the difference between z-good and z-bad and is the effect size. Beta is the estimate from the linear mixed-effects model, which has a standard error ‘SE’ and a t-value ‘t’. ‘χ²’ is the chi-squared value comparing the full model to an intercept-only model, and ‘χ² p’ is the p-value obtained by that comparison. Simple ‘p’ is just the p-value calculated using the t-value. Pred is TRUE if the effect goes in the significant direction. Sig is TRUE if there is a significant effect.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1353/LAN.2016.0051
