Using Commonly Available Software for Bootstrapping in Both Substantive and Measurement Analyses  

Oleh:

Xitao, Fan

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 63 no. 1 (2003), page 24-50.
Topik: MEASUREMENTS; bootstrap; resampling; nonparametric inference; sample results replicability
Fulltext: 24.pdf (235.86KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Bootstrap analysis, both for non parametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational psychological research. Procedurally, however, it is often quite a challenge to implement bootstrap analysisi because it is typically not an automated program option in statistical software programs. This article uses a few heuristic analytical examples to show how bootstrap analysis can be accomplished through the use of some commonly available statistical software programs (AMOS, EQS, SAS). Until bootstrap analysis becomes an automated program option in standard statistical software programs (e. g. SPSS, SAS), quantitative researchers may have to make do with these or other creative approaches to accomplish bootstrap analysis in their research.

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