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Linglib.Data.Experiments.MaldonadoCulbertson2022

MaldonadoCulbertson2022: experimental results (generated) #

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Experiment 2: English-speaking participants learned an artificial pronoun system with three plural forms for four plural person categories, first exclusive, inclusive, second and third, the inclusive sharing its form with the first exclusive (First-inclusive), the second (Second-inclusive) or the third person (Third-inclusive), between subjects. Accuracy in the second testing block was analysed by logistic mixed-effects models with treatment coding, first with First-inclusive and then with Second-inclusive as the baseline; the intercept compares the baseline's accuracy with chance.

Raw data #

References #

The person whose plural form the inclusive shares.

  • firstInclusive : Condition

    First-inclusive: the inclusive shares the first person exclusive plural form

  • secondInclusive : Condition

    Second-inclusive: the inclusive shares the second person plural form

  • thirdInclusive : Condition

    Third-inclusive: the inclusive shares the third person plural form

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      How a p-value is printed.

      • below : Bound

        <: as an upper bound

      • exact : Bound

        =: as a value

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          A row of §3.3, p. 318: a coefficient of a treatment-coded model of accuracy in the second testing block, the intercept or the difference of a condition from the baseline.

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            def MaldonadoCulbertson2022.instDecidableEqContrast.decEq (x✝ x✝¹ : Contrast) :
            Decidable (x✝ = x✝¹)
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                The 5 rows of §3.3, p. 318, in the paper's order; checked against the PDF text layer only.

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