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Published online by Cambridge University Press: 27 December 2018
1. Loevinger, Lee, Jurimetrics: The Next Step Forward, 33 Minn. L. Rev. 455, 483 (1949); id., Jurimetrics: Science and Prediction in the Field of Law, 46 Minn. L. Rev. 255 (1961); id., Jurimetrics: The Methodology of Legal Inquiry, 28 Law & Contemp. Prob. 5 (1963).Google Scholar
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5. Spaeth further separates each scale into attitude toward objects and attitude toward situation. Since I fail to see how this division contributes significantly to either the merits or the defects of his model, I will not attempt to criticize this particular innovation.Google Scholar
6. Note that the problem of manipulation of data becomes more acute in the instance of cases presenting more than one issue.Google Scholar
7. As quoted in Harold J. Spaeth, Unidimensionality and Item Invariance in Judicial Scaling, 10 Behavioral Sci. 290, 300 (1965).Google Scholar
8. Murphy & Tanenhaus, supra note 3, at 138.Google Scholar
9. Another jurimetrician, Glendon Schubert, has made a point of publishing his own cumulatively scaled decisions for just this purpose.Google Scholar
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17. The best solution may be to have someone other than the researcher categorize the decisions according to some sort of content analysis to approximate “double-blind” laboratory conditions. See, e.g., Glendon Schubert, Jackson's Judicial Philosophy: An Exploration in Value Analysis, 59 Am. Political Sci. Rev. 940 (1965).CrossRefGoogle Scholar
18. Murphy and Tanenhaus have suggested another way to validate a scaling of decisions.Google Scholar
For example, he could begin by drawing a sample from the universe of relevant cases, such as those concerned with civil liberties, and seek to scale the votes contained in the sample. If his efforts to scale the sample cases met conventional criteria, he could then articulate the characteristics that presumably render the cases in the sample ordinal. Next the analyst could classify the remaining cases in the civil liberties universe in accordance with the characteristics identified. Finally, these cases could be randomly assigned to subsets and the cases in each subset arranged in the order taken in the original scalogram by cases with comparable characteristics. If the matrix for each of the subsets were to yield sufficiently high CRs and Ss, confidence in the validity of the original scale would be substantially enhanced. Such procedures are laborious, but validity, like chastity, is a demanding virtue.
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