Statistical Power Computations for Detecting Dichotomous Moderator Variables With Moderated Multiple Regression  

Oleh:

Charles A., Piercem ; Aguinis, Herman

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 58 no. 4 (1998), page 668-676.
Topik: STATISTICAL; statistical; computation; variables; multiple regression
Fulltext: 668.pdf (843.39KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A revised and improved version of aguinis, pierce and stone romero's (1994) program for estimating the statistical power of moderated multiple regression to detect dichotomous moderator variables is described. The quick BASIC program runs on IBM and IBM - compatible personal computers and estimates power based on user - provided values for : a. total sample size b. sample size across the two moderator - based subgroups c. correlation coefficients between the predictor and criterion for each of the two moderator - based subgroups d. correlation coefficient between the predictor and hypothesized moderator and e. sample and population standard deviations for the predictor Program - generated power etimats for typical research situations in education, psychology and management indicate that hypothesos tests of moderating effects are typically conducted at insufficient levels of statistical power.

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