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L-Scaling [microform] : An Update / Eric Blankmeyer
Bib ID 5551866
Format BookBook, MicroformMicroform, OnlineOnline
Author
Blankmeyer, Eric
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1992 
17 p. 
Summary

L-scaling is introduced as a technique for determining the weights in weighted averages or scaled scores for T joint observations on K variables. The technique is so named because of its formal resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to several widely-used procedures for data reduction, and the discussion proceeds in terms of descriptive statistics since the various techniques have sampling properties that are either unknown or intractable. In principle, a researcher should choose a scaling method by proposing a model that explains how the discrepancies arise. This inferential approach is difficult in cases where the X data do not satisfy such requirements as multivariate normality and the statistical independence of the observations. In these cases, a researcher may choose to apply a kind of sensitivity analysis by comparing the outcomes of several scaling methods, including L-scaling. Four tables present analysis results. (SLD)

Notes

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Comparative Analysis.  |  Equations (Mathematics)  |  Mathematical Models.  |  Multivariate Analysis.  |  Sampling.  |  Statistical Inference.  |  Weighted Scores.  |  L Scaling Weighting (Statistical)  |  Data Reduction Methods Leontief Matrix Sensitivity Analysis
Form/genre Reports, Evaluative.
Available From ERIC 

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