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Linglib.Data.Experiments.Schwab2023

Schwab2023: experimental results (generated) #

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Two speeded acceptability experiments on the German NPIs jemals 'ever' and so recht 'really', each crossing the NPI with the position of a negative quantifier: in the matrix clause, inside a relative clause, or absent. For each experiment the paper reports Bayes factors, from bridge sampling, comparing a model with the NPI illusion of each NPI, or with the interaction of the two illusions, to a model without it, and reads each as evidence of a stated strength. The posterior estimates are not recorded; Experiment 1 prints the estimate of the so recht illusion with the numbers of the jemals illusion, although its posterior in Figure 2 is centred near zero.

Raw data #

References #

The two experiments.

  • exp1 : Experiment

    1: subject-extracted relative clauses (section 2)

  • exp2 : Experiment

    2: object-extracted relative clauses, faster presentation (section 3)

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      The effects the Bayes factors test, labelled as in Figures 2 and 4.

      • illusionJemals : Effect

        NPI illusion: jemals: the illusory licensing of jemals by the relative-clause quantifier

      • illusionSoRecht : Effect

        NPI illusion: so recht: the illusory licensing of so recht by the relative-clause quantifier

      • interaction : Effect

        Interaction effect: illusory licensing: the difference between the two illusions

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        def Schwab2023.instReprEffect.repr :
        Effect → ℕ → Std.Format
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          The paper's reading of a Bayes factor.

          • veryStrongForEffect : Verdict

            very strong evidence for the effect: very strong evidence for the effect

          • moderateForEffect : Verdict

            moderate evidence for the effect: moderate evidence in favour of the effect

          • inconclusive : Verdict

            inconclusive: inconclusive

          • slightlyForNull : Verdict

            slightly favours the null: slightly favoured the null hypothesis

          • moderateForNull : Verdict

            moderate evidence for the null: moderate evidence for the null hypothesis

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            def Schwab2023.instReprVerdict.repr :
            Verdict → ℕ → Std.Format
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              A row of sections 2.1.5 and 3.1.5, pp. 12-13 and 18: the Bayes factor for an effect and the paper's reading of it.

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                def Schwab2023.instDecidableEqBayesFactor.decEq (x✝ x✝¹ : BayesFactor) :
                Decidable (x✝ = x✝¹)
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