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Title: Regression to the Mean in Latent Change Score Models: An Example Involving Breastfeeding and Intelligence
Resulting in 1 citation.
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Sorjonen, Kimmo Nilsonne, Gustav Ingre, Michael Melin, Bo |
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Regression to the Mean in Latent Change Score Models: An Example Involving Breastfeeding and Intelligence BMC Pediatrics 22 (May 2022): 283. Also: https://link.springer.com/article/10.1186/s12887-022-03349-4 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Springer Keyword(s): Armed Forces Qualifications Test (AFQT); Breastfeeding; Intelligence; Intergenerational Patterns/Transmission; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading) Permission to reprint the abstract has not been received from the publisher. Method: In the present study, we investigate regression to the mean in the case of breastfeeding and intelligence of children. We used latent change score modeling to analyze intergenerational change in intelligence, both from mothers to children and backward from children to mothers, in the 1979 National Longitudinal Survey of Youth (NLSY79) dataset (N = 6283). Results: When analyzing change from mothers to children, breastfeeding was found to have a positive association with intergenerational change in intelligence, whereas when analyzing backward change from children to mothers, a negative association was found. |
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Bibliography Citation
Sorjonen, Kimmo, Gustav Nilsonne, Michael Ingre and Bo Melin. "Regression to the Mean in Latent Change Score Models: An Example Involving Breastfeeding and Intelligence." BMC Pediatrics 22 (May 2022): 283.
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