SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
Author(s)
Graff, Peter; Hartman, Jeremy; Mahowald, Kyle Adam; Gibson, Edward A
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‘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.
Date issued
2016-09Department
Massachusetts Institute of Technology. Department of Brain and Cognitive SciencesJournal
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
ISSN
1535-0665