SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices

‘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’ an...

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Main Authors: Graff, Peter, Hartman, Jeremy, Mahowald, Kyle Adam, Gibson, Edward A
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Published: Johns Hopkins University Press 2018
Online Access:http://hdl.handle.net/1721.1/114479
https://orcid.org/0000-0002-9786-8716
https://orcid.org/0000-0002-5912-883X
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author Graff, Peter
Hartman, Jeremy
Mahowald, Kyle Adam
Gibson, Edward A
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Graff, Peter
Hartman, Jeremy
Mahowald, Kyle Adam
Gibson, Edward A
author_sort Graff, Peter
collection MIT
description ‘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.
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spelling mit-1721.1/1144792022-10-01T22:27:14Z SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices Graff, Peter Hartman, Jeremy Mahowald, Kyle Adam Gibson, Edward A Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Mahowald, Kyle Adam Gibson, Edward A ‘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. 2018-03-30T17:17:43Z 2018-03-30T17:17:43Z 2016-09 2018-02-23T18:47:12Z Article http://purl.org/eprint/type/JournalArticle 1535-0665 http://hdl.handle.net/1721.1/114479 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 https://orcid.org/0000-0002-9786-8716 https://orcid.org/0000-0002-5912-883X http://dx.doi.org/10.1353/LAN.2016.0051 Language 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. application/pdf Johns Hopkins University Press Language
spellingShingle Graff, Peter
Hartman, Jeremy
Mahowald, Kyle Adam
Gibson, Edward A
SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title_full SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title_fullStr SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title_full_unstemmed SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title_short SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
title_sort snap judgments a small n acceptability paradigm snap for linguistic acceptability judgments online appendices
url http://hdl.handle.net/1721.1/114479
https://orcid.org/0000-0002-9786-8716
https://orcid.org/0000-0002-5912-883X
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