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    Home/Original/inverse
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    Inverse View

    It is not the case that Ordinal scales suffice when the research goal is categorical discrimination rather than magnitude estimation of acceptability differences.

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    Reasons For

    1 perspective
    Reason for
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    • 1.Acceptability judgments inherently involve magnitude reasoning; ordinal coding discards decision-relevant information about intensity or strength.
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    • 2.Categorical discrimination and magnitude estimation often serve the same research goal simultaneously; treating them as separate creates false dichotomy.
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    • 3.Ordinal limitation prevents detecting threshold effects and non-linear patterns that meaningful acceptability assessment requires.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.Categorical discrimination requires only rank-ordering ability; ordinal scales preserve this ordering without unnecessary precision assumptions.
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    • 2.Interval/ratio scales invite false precision and inappropriate statistical tests when magnitude differences lack empirical meaning.
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    • 3.Research efficiency improves when measurement complexity matches analytical goals; overprecision wastes resources on unmeasurable distinctions.
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