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Kruger says reports of phantom mobile phone ringing/vibrating more common among anxious

Stafford says too early to say whether stock market declines will curtail Americans' spending

Eisenberg says many colleges now train campus personnel to spot and refer troubled college students

Highlights

Call for papers: Conference on Integrating Genetics and the Social Sciences, Oct 21-22, 2016, CU-Boulder

PRB training program in policy communication for pre-docs. Application deadline, 2.28.2016

Call for proposals: PSID small grants for research on life course impacts on later life wellbeing

PSC News, fall 2015 now available

Next Brown Bag

Monday, Feb 1 at noon, 6050 ISR-Thompson
Sarah Miller

Comparing Personal Trajectories and Drawing Causal Inferences From Longitudinal Data

Archived Abstract of Former PSC Researcher

Raudenbush, Stephen W. 2001. "Comparing Personal Trajectories and Drawing Causal Inferences From Longitudinal Data." Annual Review of Psychology, 52 : 501-525.

This review considers statistical analysis of data from studies that obtain repeated measures on each of many participants. Such studies aim to describe the average change in populations and to illuminate individual differences in trajectories of change. A person-specific model for the trajectory of each participant is viewed as the foundation of any analysis having these aims. A second, between-person model describes how persons vary in their trajectories. This two-stage modeling framework is common to a variety of popular analytic approaches variously labeled hierarchical models, multilevel models, latent growth models, and random coefficient models. Selected published examples reveal how the approach can be flexibly adapted to represent development in domains as diverse as vocabulary growth in early childhood, academic learning, and antisocial propensity during adolescence. The review then considers the problem of drawing causal inferences from repeated measures data.

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