Bootstrap Re - Sampling Approaches for Repeated Measure Designs : Relative Robustness to Sphericity and Normality Violations  

Oleh:

Hancock, Gregory R. ; Berkovits, Ilona ; Nevitt, Jonathan

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 60 no. 6 (2000), page 877-892.
Topik: NORMALITY; monte carlo simulation; statistical methods
Fulltext: 877.pdf (112.42KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The current article proposes a bootstrap -F method and a bootstap - T (2) method for use in a one - way repeated measure ANOVA design. Using a monte carlo approach in which sample size, non sphericity and non normality are systematically manipulated, the type I error rate of the two bootstrap methods are compared to that of the traditional F test, the geiser - green house adjusted F test, the box adjusted F test, the huynh - delft adjusted F test, the B - trimmed mean method using B = 0,1 and B = 0,2 and the one - sample multivatriate T (2) test. Results show the bootstrap - F method controls type I error better than all other methods considered when normality and sphericity assumptions are violated simultaneously.

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