Structural Equation Models and The Regression Bias for Measuring Correlates of Change  

Oleh:

Cribbie, Robert A. ; Jamieson, John

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 60 no. 6 (2000), page 893-907.
Topik: REGRESSION; regression analysis; statistical methods; education; psychology
Fulltext: 893.pdf (102.39KB)

Ketersediaan

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

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Isi artikel

ANCOVA and regression both exhibit a directional bias when measuring correlates of changes. This bias confounds the comparison of changes between naturally occurring groups with large pretest differences (ANCOVA), or for identifying predictors of change when the preditor is correlated with pretest (regression). This bias is described in some detail. A computer simulation study is presented, which shows that properly identified structural equation models are not susceptible to this bias. Neither gain scores (post test minus pretest) nor structural equation models exhibit the "regression bias". Other factors, such as skewness, that may comfound measurement of change are also discussed.

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