Fitting the Fractional Polynomial Model to Non-Gaussian Longitudinal Data.

As in cross sectional studies, longitudinal studies involve non-Gaussian data such as binomial, Poisson, gamma, and inverse-Gaussian distributions, and multivariate exponential families. A number of statistical tools have thus been developed to deal with non-Gaussian longitudinal data, including analytic techniques to estimate parameters in both fixed and random effects models. However, as yet growth modeling with non-Gaussian data is somewhat limited when considering the transformed expectation of the response via a linear predictor as a functional form of explanatory variables.

Walking a high beam: the balance between employment stability, workplace flexibility, and nonresident father involvement.

Compared with resident fathers, nonresident fathers are more likely to be unemployed or underemployed and less likely, when they are employed, to have access to flexible work arrangements. Although lack of employment stability is associated with lower levels of father involvement, some research shows that increased stability at work without increased flexibility is negatively related to involvement. Using data from the Fragile Families and Child Wellbeing Study (N = 895), the authors examined the relationship between nonresident fathers' employment stability, workplace flexibility, and father involvement.