Methodological Issues in Aging Research is the first volume in the "Notre Dame Series on Quantitative Methodology." This new series provides practical training on the latest quantitative methods used in social and behavioral research. Each volume features contributions from leading experts in state-of-the-art techniques applicable to a selected substantive topic.
The first series volume provides researchers with innovative techniques for the collection and analyses of data focusing on aging and lifespan development. The book addresses such techniques as structural equation modeling, latent class analysis, hierarchical linear growth curve modeling, dynamical systems analysis, multivariate Rasch models, survival analysis, multilevel modeling, and quantitative genetic methods. These new techniques provide:
Methodological Issues in Aging Research appeals to advanced students and researchers in lifespan development, gerontology, health psychology, and other fields related to human development. It can be used as a main or supplemental text for advanced courses related to developmental research methods.
"The illustrative chapters of current methods for studying age change in Bergeman and Boker's 'Methodological Issues in Aging Research' exemplify the quantum leap that developmental methods have taken in the last 40 years…. one can appreciate the welcome benefits and scientific advances these new methods bring with them."—PsycCRITIQUES
Contents: C.S. Bergeman, S.M. Boker, Preface. J.R. Nesselroade, Quantitative Modeling in Adult Development and Aging: Reflections and Projections. C.S. Bergeman, K.A. Wallace, The Theory-Methods Interface. J.J. McArdle, F. Hamagami, Longitudinal Tests of Dynamic Hypotheses on Intellectual Abilities Measured Over Sixty Years. P.J. Curran, D.J. Bauer, M.T. Willoughby, Testing and Probing Interactions in Hierarchical Linear Growth Models. C. Johnson, S.W. Raudenbush, A Repeated Measures, Multilevel Rasch Model With Application to Self-Reported Criminal Behavior. C. Schuster, Latent-Class Analysis Approaches to Determining the Reliability of Nominal Classifications: A Comparison Between the Response-Error and the Target-Type Approach. S.M. Boker, T.L. Bisconti, Dynamical Systems Modeling in Aging Research. M.J. Wenger, C. Schuster, L.E. Petersen, R.C. Petersen, Applying Proportional Hazards Models to Response Time Data. M.C. Neale, S.M. Boker, C.S. Bergeman, H.H. Maes, The Utility of Genetically Informative Data in the Study of Development.
The Notre Dame Series on Quantitative Methodology offers advanced training in quantitative methods for social and behavioral research.
Leading experts in data analytic techniques provide instruction in state-of-the-art methods designed to enhance quantitative skills in a substantive domain.
Each volume brings together expert methodologists and a workshop audience of substantive researchers. The substantive researchers are challenged with innovative techniques and the methodologists are challenged by innovative applications.
The goal is to stimulate an emergent substantive and methodological synthesis, enabling the solution of existing problems and raising new questions that need to be asked.
Each volume targets researchers in a specific substantive area, but also contains innovative techniques of interest to pure methodologists.