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    Bard et al.'s foundational magnitude estimation studies s... — Carmelics
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    Supports→Magnitude estimation does not yield more information than other judgment tasks for assessing linguistic acceptability

    Bard et al.'s foundational magnitude estimation studies showed high inter-subject variability that requires geometric mean normalization, introducing experimenter-dependent distortion.

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    Key Terms

    Bard et al.(as used in academic research citations)
    A shorthand way to refer to a research paper or study by multiple authors where 'Bard' is the first author's name and 'et al.' means 'and others.' It's how scientists cite work when there are too many authors to list each one.
    Experimenter-dependent distortion(as used in experimental methodology and epistemology)
    A problem where the person running the experiment accidentally influences the results based on their own choices or biases, rather than measuring something objective about the world.
    Inter-subject variability(as used in experimental design)
    The differences in results or responses between different people participating in the same experiment; basically, people don't all respond the same way to the same stimulus.
    Normalization(as used in mathematics and economics)
    A mathematical technique that adjusts numbers (like utility scores) to a standard scale so they're easier to compare, but this adjustment can hide important information.

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    geometric mean(Mathematical comparison of means)
    A measure of central tendency for two positive numbers, which is less than or equal to their arithmetic mean
    magnitude estimation(Applied to linguistic acceptability judgments)
    A judgment task in which participants assign numerical values to stimuli in proportion to their perceived magnitude, intended to yield ratio-level psychophysical data about the property being judged

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    Truth & Knowledge1 linkedPhilosophy of Language1 linked

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