Work

Methods for the Study of Development – Developing Methods

Year: 2009

Type: article

Abstract: This collection of articles explores how contemporary methods interface with and can be used effectively to test developmental perspectives and hypotheses. The authors review some of the latest advancements in measurement and scale equating, multilevel models of change, growth mixture models, longitudinal models of mediation, and survival models and illustrate how these methods can be applied to developmental data. In this introduction, we present the data-box as a useful heuristic for both assessing the conceptual assumptions and implications of a given research approach and selecting the appropriately aligned statistical models for measurement, change, and interindividual differences. Together, the articles provide accessible introductions, illustrations, and discussions of how some of the recent methodological innovations might be applied in the study of development.

Source: Research in Human Development

DOI: 10.1080/15427600902911114

Authors: Nilam Ram, Denis Gerstorf

Institutions: Pennsylvania State University, Max Planck Society, Max Planck Institute for Human Development

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institute on Aging, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: ARRA: Tools for Articulating Within-Person Dynamic Models of Interpersonal Intera, Psychological Terminal Decline as a Multidimensional Process of Age, Approaching, Toward a Unifying Model of Self-Regulation and its Development