Automotive Classic Cars: Latent Growth Curve Modeling (Quantitative Applications in the Social Sciences) (Paperback)

buy from amazon: Latent Growth Curve Modeling (Quantitative Applications in the Social Sciences) (Paperback)

Product Description

Latent expansion bend displaying (LGM)-a special box of assenting cause investigate designed to indication change over time-is an indispensable and increasingly entire proceed for displaying longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, terse examples of several common expansion displaying approaches, and highlights new advancements per a diagnosis of blank data, parameter estimation, and indication fit.

The book covers a simple linear LGM, and buil ds from there to report some-more formidable organic forms (e.g., polynomial implicit curves), multivariate implicit expansion curves used to indication coexisting change in mixed variables, a inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also prominence approaches to traffic with blank data, opposite determination methods, and incorporate contention of indication investigate and comparison within a context of LGM. The models denote how they might be practical to longitudinal information subsequent from a NICHD Study of Early Child Care and Youth Development (SECCYD)..

Key Features

· Provides easy-to-follow, terse examples of several common expansion displaying approaches

· Highlights new advancements per a diagnosis of blank data, parameter estimation, and indication fit

· Explains a commonalities and differences between impl icit expansion indication and multilevel displaying of steady measures information

· Covers a simple linear implicit expansion model, and builds from there to report some-more formidable organic forms such as polynomial implicit curves, multivariate implicit expansion curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models

Product Details

Amazon Sales Rank: #144596 in Books
Published on: 2008-06-27
Original language: English
Number of items: 1
Dimensions: .20" h x 5.40" w x 8.30" l, .30 pounds
Binding: Paperback
112 pages

Editorial Reviews

About a Author

Aaron L. Wichman is a doctoral claimant in a Social Psychology module during The Ohio State University, where he serves as co ordinator for a department's rudimentary amicable psychology courses. His investigate interests concentration on amicable discernment and a concentration of quantitative techniques to inpidual differences research, including celebrity assessment.

Kristopher J. Preacher, Ph.D. is an partner highbrow of Quantitative Psychology during a University of Kansas. His investigate focuses essentially on a use of cause analysis, constructional equation modeling, and multilevel displaying to investigate longitudinal and correlational data. Other interests embody building techniques to exam intervention and mediation hypotheses, bridging a opening between speculation and practice, and investigate indication investigate and indication preference in a concentration of multivariate methods to amicable scholarship questions.

Nancy E. Briggs, Ph.D. is a statistician in a Discipline of Public Health during a University of Adelai de. She serves essentially as a information researcher in several investigate projects in a health and behavioral sciences. Her investigate and veteran interests engage a concentration of modernized multivariate statistical techniques, such as linear and nonlinear multilevel models and implicit non-static models, to experimental data.

Robert C. MacCallum, Ph.D. has had a prolonged and renowned career as a reputable quantitative psychologist. His primary investigate interests engage a investigate of quantitative models and methods for a investigate of correlational data, generally cause analysis, constructional equation modeling, and multilevel modeling. Of sold seductiveness is a use of such methods for a investigate of longitudinal data, with a concentration on inpidual differences in patterns of change over time. He teaches courses in cause investigate and rudimentary and modernized constructional equation modeling. He now serves as a module chair of a L. L. Thurstone Psychometric Laboratory during a University of North Carolina during Chapel Hill.