1998
DOI: 10.1017/s0954579498001667
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The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations

Abstract: The utility and flexibility of recent advances in statistical methods for the quantitative analysis of developmental data—in particular, the methods of individual growth modeling and survival analysis—are unquestioned by methodologists, but have yet to have a major impact on empirical research within the field of developmental psychopathology and elsewhere. In this paper, we show how these new methods provide developmental psychpathologists with powerful ways of answering their research questions about systema… Show more

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Cited by 374 publications
(308 citation statements)
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“…Statistical analyses-We used an individual growth model [25][26][27][28] to examine (a) the lagged effect of physical activity on self-esteem and (b) the lagged effect of self-esteem on physical activity. We chose this analytical method because it makes full use of the data from all three time points, it models the within person correlation across time, and it assesses the two lagged activity effects (9-11 and 11-13) simultaneously, thereby decreasing the likelihood of a type I error, increasing the number of data points from 166 (when modeling self-esteem at age 11) or 161 (when modeling self-esteem at age 13) to 327, and increasing the statistical power.…”
Section: Methodsmentioning
confidence: 99%
“…Statistical analyses-We used an individual growth model [25][26][27][28] to examine (a) the lagged effect of physical activity on self-esteem and (b) the lagged effect of self-esteem on physical activity. We chose this analytical method because it makes full use of the data from all three time points, it models the within person correlation across time, and it assesses the two lagged activity effects (9-11 and 11-13) simultaneously, thereby decreasing the likelihood of a type I error, increasing the number of data points from 166 (when modeling self-esteem at age 11) or 161 (when modeling self-esteem at age 13) to 327, and increasing the statistical power.…”
Section: Methodsmentioning
confidence: 99%
“…pointÓ approach that was developed for fixed effects regression models (Rogosa, 1980; Aiken & 311 West, 1991) and further extended to multi-level, or growth-curve models with subject-specific 312 random effects (Bryk & Raudenbush, 1987;Willet, Singer, & Martin, 1998). Trajectories of 313 change depicting individuals who scored 1 standard deviation (SD) above the mean on 314 internalized weight stigma and those who scored 1 SD below the mean were used as anchors on 315 the graphs.…”
Section: H I G H E R -O R D E R I N T E R a C T I O N E F F E C T S Wmentioning
confidence: 99%
“…To identify trajectories of maternal depressive symptoms we needed to meaningfully combine the scores of both instruments, which have different possible symptom severity score ranges. Thus, the scores for each instrument were standardized by the sample mean and standard deviation for each time point to t-scores (M = 50, SD =10) , which allowed us to study them jointly as continuous measures [16,17] .…”
Section: Maternal Depressive Symptom Trajectoriesmentioning
confidence: 99%