Testing Dependent Correlation Coefficents via Structural Equation Modeling  

Oleh:

Wai, Chan ; Cheung, Mike W.-L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 7 no. 2 (Apr. 2004), page 206-223.
Topik: CORRELATION [STATISTIC]; testing dependent correlation coefficients; testing independent correlation coefficients; structural equation modeling
Fulltext: 206.pdf (165.53KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Organizational researchers are sometimes interested in testing if independent or dependent correlation coefficients are equal. Olkiin and finn and steiger proposed several statistical procedures to test dependent correlation coefficients in a single group, whereas meta - analytic procedures can be used to test independent correlation coefficients in two or more groups. Because computer programming is usually imnvolved, applied researchers may find these procedures hard to implement, especially in testing the dependent correlation coefficients. This article suggests using a structural equation modeling (SEM) approach as a unified framework to test independent and dependent correlational hypotheses. To demonstrate the comparability among these approaches, examples and ad hoc, simulation studies are used. Advantages of the SEM approach are also discussed.

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