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Titolo:
Assessing program effects in the presence of treatment-baseline interactions: A latent curve approach
Autore:
Khoo, ST;
Indirizzi:
Arizona State Univ, Dept Psychol, Tempe, AZ 85287 USA Arizona State Univ Tempe AZ USA 85287 , Dept Psychol, Tempe, AZ 85287 USA
Titolo Testata:
PSYCHOLOGICAL METHODS
fascicolo: 3, volume: 6, anno: 2001,
pagine: 234 - 257
SICI:
1082-989X(200109)6:3<234:APEITP>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Soggetto:
AGGRESSIVE-BEHAVIOR; PREVENTIVE TRIALS; GROWTH-CURVES; MODELS; ACHIEVEMENT; 1ST-GRADE; CHILDREN; DESIGNS; DIVORCE; HEALTH;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
55
Recensione:
Indirizzi per estratti:
Indirizzo: Khoo, ST Arizona State Univ, Dept Psychol, Main Campus,POB 871104, Tempe, AZ 85287 USA Arizona State Univ Main Campus,POB 871104 Tempe AZ USA 85287 USA
Citazione:
S.T. Khoo, "Assessing program effects in the presence of treatment-baseline interactions: A latent curve approach", PSYCHOL MET, 6(3), 2001, pp. 234-257

Abstract

Methods for assessing treatment effects of longitudinal randomized intervention are considered. The focus is on modeling the nonlinear relationship between treatment effects and baseline often observed in prevention programsdesigned for at-risk populations. Piecewise linear growth modeling was used to study treatment effects during the different periods of development. Amultistep multiple-group analysis procedure is proposed for assessing treatment effects in the presence of nonlinear treatment-baseline interactions. Standard errors of the estimates from this multistep procedure were obtained using a bootstrap approach. The methods are illustrated using data from the Johns Hopkins Prevention Research Center involving an intervention aimed at improving classroom behavior.

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Documento generato il 30/03/20 alle ore 19:56:51