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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
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Johns Hopkins University Press
2018
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| Online Access: | http://hdl.handle.net/1721.1/114479 https://orcid.org/0000-0002-9786-8716 https://orcid.org/0000-0002-5912-883X |
| Summary: | ‘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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