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 builds 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 implicit 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: #431801 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 coordinator for a department's rudimentary amicable psychology courses. His investigate interests concentration on amicable discernment and a concentration of quantitative techniques to sold 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 Adelaide. 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 sold 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.
By Dr. Kristopher J. Preacher
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Most useful patron reviews
3 of 9 people found a following examination helpful.
By disappointed
I'm a PhD tyro who is meddlesome in a theme and wanted to do some credentials reading when we had a chance. we purchased a Kindle ebook given it seemed ideal -- cheap, unstable reading. After receiving a book, we am very, really disappointed. The content is illegible. This is not a initial time we have had problems with Amazon per their electronic book offerings... though it will be a last.
The formula are horrible. The publisher (Sage) apparently only converted this to a Amazon book format though any regard for legibility or quality. The outcome is that all of a equations are blurry, and a subscripts and superscripts are totally illegible.
There are a series of problems with a Kindle book that conjunction Amazon, nor a strange publisher, seem to caring about.
First, a equations in a content are too tiny to read. Additionally, they are contained in a content as images, so even if one tries to wizz in on an equation, we simply get a incomparable becloud image. (Hint: a publisher should use SVG - Scalable Vector Graphics and not a lossy picture record format that they chose to use.) The distance of a equations, that are extrinsic in a content as images, are a smallest rise distance possible, so even when we boost a rise size, a equations sojourn during a smaller distance (since they are prisoner as images).
In terms of a text, well, here too a Sage book falls flat. While Sage books are generally high peculiarity it is mostly strike and skip as to either a content of a pamphlet is a silken review (whether or not it is an easy review is another matter!). The content altogether is uninspiring though informative... however, given a problems with a equations only mentioned, there is no indicate in purchasing a book.
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By a approach -- a representation chronicle of this book does not enclose any equations. It would have been good if it did! Omakase Links
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