A Monte Carlo Study of Missing Item Methods  

Oleh:

McDonald, Robert A. ; Nelson, Mark R. ; Thruston, Paul W.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 3 no. 1 (2000), page 71-92.
Topik: monte carlo analysis; monte carlo study
Fulltext: 71.pdf (128.91KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A monte carlo simulation methodology was used to examine the effectiveness of five methods for handling missing data in items that comprise summated scales : listwise deletion, item mean substitution, person mean substitution, random number substitution, and regression imputation. Overall, regression imputation was the most effective method in reproducing psychometric properties of a summated scale and preserving statistical power to detect correlations between the summated scale and other variables. The item mean substitution method yielded biased estimates of the standard deviation of the summated scale. Although listwise deletion yielded relatively unbiased estimates of the psychometric properties of the summated scale, there were high levels of dispersion in the estimates aroung the true population values. Furthermore, listwise deletion led to severe reductions in statistical power to detect correlations between the summated scale and other variables.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali