Rank procedures for repeated measures with missing values  

Oleh:

Domhof, Sebastian ; Brunner, Edgar ; Osgood, D. Wayne

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 30 no. 03 (Feb. 2002), page 367-393.
Topik: nonparametric; research design; alcohol consumption; age
Fulltext: DOMHOF-367-93 - Bernard.pdf (371.84KB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

This article presents a nonparametric approach to analyzing research designs that include repeated observations on the same set of individuals or units, such as longitudinal panel studies. The data collected from different individuals are generally assumed to be independent. while several observations from the same individual or unit may be dependent. The approach suggested in this study is nonparametric in the sense that only the distribution functions are used to define the treatment effects. and suggested procedures are extensions of well-established rank order methods. Missing observations are especially common in studies with repeated measures. and three strategies for addressing this problem are compared: complete case analysis. last observation carried forward ,and complete set analysis. The authors demonstrate these methods with an analysis of age trends and sex differences in alcohol consumption in a sample of us. adolescents who completed questionnaires four times in the 7th through 10th grades.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali