The Relationship of ANOVA Models With Random Effects and Repeated Measurement Designs  

Oleh:

Eye, Alexander van ; Schuster, Christof

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Adolescent Research (http://jar.sagepub.com/) vol. 16 no. 2 (Mar. 2001), halaman 205-220.
Topik: relationships; ANOVA Models; random effects; measurement design
Fulltext: 205.pdf (118,1KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ81.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Understanding ANOVA models is often difficult because of the large a amount of different experimental designs arise out of the variation of three basic distinctions : block versus treatment factors, fixed versus random factors, and crossed versus nested factors. Once it is understood how each distinction influences the statistical analysis, the amount of experimental designs canve considerably reduced, because sometimes seemingly different experimental designs are essentially equivalent. This is shown by an examole comparing a two - way analysis of variance model to a three - factor partially nested design. Furthermore, the way each distinction influences the statistical analysis of an experimental design can simplify the computational effort of the analysis because virtually ever basic ANOVA procedure implemented in common statistical software packages can be used to fit more complex ANOVA models that are usually analyzed using special computer modules.

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