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Methodological Issues in Aging Research

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Series: Notre Dame Series on Quantitative Methodology.

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:

  • better estimates of the direct effect of environmental or treatment effects and the dynamic pattern of genetic and environmental influences on adult development

  • more precise predictions of outcomes which in turn increase the diagnostic power of test instruments
  • the potential for developing new treatments that take advantage of the intrinsic dynamics of the course of a disease or age-related change to enhance treatment

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.

Table of Contents

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.

Reviews

"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

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