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Titolo:
Child factor in measurement dependability
Autore:
Lampl, M; Birch, L; Picciano, MF; Johnson, ML; Frongillo, EA;
Indirizzi:
Emory Univ, Dept Anthropol, Atlanta, GA 30322 USA Emory Univ Atlanta GA USA 30322 iv, Dept Anthropol, Atlanta, GA 30322 USA Penn State Univ, College Pk, PA USA Penn State Univ College Pk PA USAPenn State Univ, College Pk, PA USA Univ Virginia, Hlth Sci Ctr, Dept Pharmacol, Charlottesville, VA 22908 USAUniv Virginia Charlottesville VA USA 22908 Charlottesville, VA 22908 USA Univ Virginia, Hlth Sci Ctr, Dept Internal Med, Charlottesville, VA 22908 USA Univ Virginia Charlottesville VA USA 22908 Charlottesville, VA 22908 USA Cornell Univ, Div Nutr Sci, Ithaca, NY USA Cornell Univ Ithaca NY USACornell Univ, Div Nutr Sci, Ithaca, NY USA
Titolo Testata:
AMERICAN JOURNAL OF HUMAN BIOLOGY
fascicolo: 4, volume: 13, anno: 2001,
pagine: 548 - 557
SICI:
1042-0533(200107/08)13:4<548:CFIMD>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Soggetto:
SALTATORY GROWTH;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Life Sciences
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Lampl, M Emory Univ, Dept Anthropol, Atlanta, GA 30322 USA Emory Univ Atlanta GA USA 30322 Anthropol, Atlanta, GA 30322 USA
Citazione:
M. Lampl et al., "Child factor in measurement dependability", AM J HUM B, 13(4), 2001, pp. 548-557

Abstract

A primary consideration in longitudinal growth studies is the identification of growth from error components. While previous research has considered matters of measurement accuracy and reproducibility in detail, few reports have investigated the errors of measurement due to aspects of the physiology and cooperation of the child. The present study directly assesses this source of measurement undependability for the first time. Investigation of total measurement error variance in 925 recumbent length replicates taken over stasis intervals in growth identifies that between 60% and 70% of total measurement unreliability is due to a child factor undependability. Individual differences are significant and longitudinal growth analyses should consider two to three times the technical error of measurement statistic as a reasonable estimate of the total unreliability for any single measurement ofan infant's recumbent length. These results raise issues regarding analytic methods as applied to serial growth data. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 26/09/20 alle ore 14:40:02