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Applied Longitudinal Data Analysis
PART I 1. A framework for investigating change over time 2. Exploring Longitudinal Data on Change 3. Introducing the multilevel model for change 4. Doing data analysis with the multilevel mode forExpand
Methods Matter: Improving Causal Inference in Educational and Social Science Research
Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed byExpand
Using covariance structure analysis to detect correlates and predictors of individual change over time
Recently, methodologists have shown how two disparate conceptual arenas—individual growth modeling and covariance structure analysis—can be integrated. The integration brings the flexibility ofExpand
The Growing Importance of Cognitive Skills in Wage Determination
Using data from two longitudinal surveys of American high school seniors, we show that basic cognitive skills had a larger impact on wages for 24-year-old men and women in 1986 than in 1978. ForExpand
It’s About Time: Using Discrete-Time Survival Analysis to Study Duration and the Timing of Events
TLDR
This article uses longitudinal data on the career paths of 3,941 special educators as a springboard, and derives maximum likelihood estimators for the parameters of a discrete-time hazard model and shows how the model can befit using standard logistic regression software. Expand
How important are the cognitive skills of teenagers in predicting subsequent earnings
How important are teenagers' cognitive skills in predicting subsequent labor market success? Do cognitive skills pay off in the labor market only for students who go to college? Does college benefitExpand
Do Teacher Absences Impact Student Achievement? Longitudinal Evidence from One Urban School District
Rates of employee absences and the effects of absences on productivity are topics of conversation in many organizations in many countries. One reason is that high rates of employee absence may signalExpand
QUANTITATIVE METHODS IN PSYCHOLOGY Modeling the Days of Our Lives: Using Survival Analysis When Designing and Analyzing Longitudinal Studies of Duration and the Timing of Events
Psychologists studying whether and when events occur face unique design and analytic difficulties. The fundamental problem is how to handle censored observations, the people for whom the target eventExpand
The design and analysis of longitudinal studies of development and psychopathology in context: statistical models and methodological recommendations.
TLDR
It is shown that these methods are essential tools for answering questions about life-span developmental processes in both normal and atypical populations and that their proper use will help developmental psychopathologists and others illuminate how important contextual variables contribute to various pathways of development. Expand
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