2009
DOI: 10.1007/978-1-4419-0245-0
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Handbook on Crime and Deviance

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Cited by 24 publications
(7 citation statements)
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“…We conducted model selection in two steps using the Bayesian information criteria. 31 First, we tested the optimal number of trajectory groups by using a quadratic form for all trajectory groups and the recommended 5% minimum group size requirement. 32 Then, we identified the appropriate order of the polynomial function used to model each group’s trajectory by specifying the shape of each group up to a cubic function.…”
Section: Methodsmentioning
confidence: 99%
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“…We conducted model selection in two steps using the Bayesian information criteria. 31 First, we tested the optimal number of trajectory groups by using a quadratic form for all trajectory groups and the recommended 5% minimum group size requirement. 32 Then, we identified the appropriate order of the polynomial function used to model each group’s trajectory by specifying the shape of each group up to a cubic function.…”
Section: Methodsmentioning
confidence: 99%
“…The AvePP was 0.96, 0.92, 0.91, 0.94, 0.96 for processing speed trajectories and 0.96, 0.97, 0.96 for disability trajectories, well above the AvePP≥0.70 recommended model adequacy criteria. 31 …”
Section: Methodsmentioning
confidence: 99%
“…A sample of 835 participants with 7247 HbA1c observations were analyzed using GBTM, which, based on longitudinal data, identifies a finite number of distinct trajectory clusters and assigns likely membership of individuals into these clusters. 18 19 The GBTM procedures were similar to models previously used 20–22 with no new adaptations. Participants 4–17 years old at baseline were included, but their HbA1c observations were dropped from further analyses when under age 8 or over 27 years when building the trajectories as the number of measurements outside this age range was deemed too small.…”
Section: Methodsmentioning
confidence: 99%
“…Having >5% group membership ensures: (1) statistical stability and robustness of the estimated trajectories, (2) meaningful interpretation of distinct subpopulations with more adequate group representation, (3) generalizability because the identified trajectories are more representative of the larger population, and (4) precision of the parameter estimates with narrower CIs. 18 19 23 A larger percent decrease in BIC signifies an improvement in model fit. 18 19 23 The improvement/decrease in the BIC values was large (10.9%) going from a one-trajectory solution to a two-trajectory solution.…”
Section: Methodsmentioning
confidence: 99%
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