Programs for Problems Created by Continous Variable Distributions in Moderated Multiple Regression  

Oleh:

O'Connor, Brian P.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 9 no. 4 (Oct. 2006), page 554-567.
Topik: REGRESSION; moderated regression; statistical itneractions; field research; multivariate normality
Fulltext: 554.pdf (172.85KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

It is difficult to detect interactions between continuous variables in field research using moderated multiple regression (MMR). One reason is that multivariate normality, which occurs in field research but not experimental research, supresses the residual variance of interaction terms. SPSS, SAS nad matlab programs that expose the ectent of this problem for any given data set are provided. Ironically, when significant interactions are found in field research using MMR, this is because the assumption of multivariate normality has been violated, thus rendering the significance tests potentially invalid. The programs presented in this article comptue more trustworthy significance levels via data randomization.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali