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What are the changes we see over the life-span? How can we explain
them? And how do we account for individual differences? This volume
continues to examine these questions and to report advances in
empirical research within life-span development increasing its
interdisciplinary nature. The relationships between individual
development, social context, and historical change are salient
issues discussed in this volume, as are nonnormative and atypical
events contributing to life-span change.
What are the changes we see over the life-span? How can we explain
them? And how do we account for individual differences? This volume
continues to examine these questions and to report advances in
empirical research within life-span development increasing its
interdisciplinary nature. The relationships between individual
development, social context, and historical change are salient
issues discussed in this volume, as are nonnormative and atypical
events contributing to life-span change.
When the first edition of this Handbook was fields are likely to be
hard reading, but anyone who wants to get in touch with the
published in 1966 I scarcely gave thought to a future edition. Its
whole purpose was to growing edges will find something to meet his
inaugurate a radical new outlook on ex taste. perimental
psychology, and if that could be Of course, this book will need
teachers. As accomplished it was sufficient reward. In the it
supersedes the narrow conceptions of 22 years since we have seen
adequate-indeed models and statistics still taught as bivariate
staggering-evidence that the growth of a new and ANOV A methods of
experiment, in so branch of psychological method in science has
many universities, those universities will need become established.
The volume of research to expand their faculties with newly trained
has grown apace in the journals and has young people. The old
vicious circle of opened up new areas and a surprising increase
obsoletely trained members turning out new of knowledge in
methodology. obsoletely trained members has to be The credit for
calling attention to the need recognized and broken. And wherever
re for new guidance belongs to many members search deals with
integral wholes-in per of the Society of Multivariate Experimental
sonalities, processes, and groups-researchers Psychology, but the
actual innervation is due will recognize the vast new future that
to the skill and endurance of one man, John multivariate methods
open up."
When determining the most appropriate method for analyzing
longitudinal data, you must first consider what research question
you want to answer. In this book, McArdle and Nesselroade identify
five basic purposes of longitudinal structural equation modeling.
For each purpose, they present the most useful strategies and
models. Two important but underused approaches are emphasized:
multiple factorial invariance over time and latent change scores.
The book covers a wealth of models in a straightforward,
understandable manner. Rather than overwhelm the reader with an
extensive amount of algebra, the authors use path diagrams and
emphasize methods that are appropriate for many uses.
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