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- W2921317547 abstract "Abstract We conducted a Monte-Carlo simulation within a latent variable framework by varying the following characteristics: population correlation (ρ = 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, and 1.00) and composite score reliability (coefficient omega: ω = 0.40, 0.50, 0.60, 0.70, 0.80, and 0.90). The sample sizes required to estimate stable measurement-error-free correlations were found to approach N = 490 for typical research scenarios (population correlation ρ = 0.20; composite score reliability ω = 0.70) and as high as N = 1000+ for data associated with lower, but still sometimes observed, reliabilities (ω = 0.40–0.50). We encourage researchers to take into consideration reliability, when evaluating the sample sizes required to produce stable measurement-error-free correlations." @default.
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- W2921317547 date "2019-06-01" @default.
- W2921317547 modified "2023-09-30" @default.
- W2921317547 title "At what sample size do latent variable correlations stabilize?" @default.
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- W2921317547 doi "https://doi.org/10.1016/j.jrp.2019.03.007" @default.
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