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    Home/Original/inverse
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    Inverse View

    It is not the case that Magnitude estimation does not yield more information than other judgment tasks for assessing linguistic acceptability

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    Reasons For

    1 perspective
    Reason for
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    • 1.Weskott and Fanselow compared magnitude estimation data to standard judgments on binary and 7-point scales
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    • 2.The comparison showed magnitude estimation provides no informational advantage over other judgment tasks
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    • 3.Magnitude estimation can produce spurious variance
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    Reasons Against

    2 perspectives
    Reason against 1 of 2
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    • 1.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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    • 2.Ordinal scales like Likert-type instruments, as Jamieson (2004) argues, preserve rank information sufficient for linguistic gradient distinctions without normalization artifacts.
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    • 3.If the additional operations required by magnitude estimation introduce noise exceeding its precision gains, the net informational yield is no greater than simpler judgment tasks.
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    Reason against 2 of 2
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    • 1.Stevens' psychophysical scaling assumes a ratio-scale continuum, but linguistic acceptability lacks a true zero point required for ratio measurement.
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    • 2.Without a genuine ratio scale, magnitude estimation ratios are mathematically uninterpretable, collapsing its claimed informational superiority over ordinal methods.
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