Factors Affecting Relative Weights : The Influence of Sampling and Measurement Error  

Oleh:

Johnson, Jeff W.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 7 no. 3 (Jul. 2004), page 283-299.
Topik: sampling; relative weights; sampling and measurement error; relative importance; bootstrapping
Fulltext: 283.pdf (148.38KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Relative weights are used to interpret a regression equation when the researcher is interested in the relative importance of the predictor variables. Like other statistics, relative weights are influence by sampling and measurement error. To assess the influence of sampling error, a bootstrapping approach to computing confidence intervals around relative weights is describes. To assess the influence of measurement errror, a monte carlo study was conducted in which relative weights were computed before and after correcting correlation matrices for unrealibility. The influence of measurement error was generally small but can be substantial in some cases. Correcting for unreliability tended to make the biggest difference when criterion correlations were small, predictor reliabilities were low and the number of predictors was large.

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