Maccallum Robert Charles (10 results)

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: New. Latent growth curve modeling (LGM)-a special case of confirmatory factor analysis designed to model change over time-is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD). Key Features· Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models.…

Condition: New.

Hard Cover. Condition: Good. No Jacket. Library binding with ink stamps on a few pages inside. Binding tight and square, text clean, bright, and unmarked. 1929 Hard Cover. 768 pp. A collection of numerous articles on current political and social events, along with letters to the editor, music and drama reviews, books of the month and book review sections, etc. This volume discusses everything from birth control to the dangers of cocaine to telepathy to the failure of the Federal Reserve.…

Paperback. Condition: New. Latent growth curve modeling (LGM)-a special case of confirmatory factor analysis designed to model change over time-is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD). Key Features· Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models.…

Condition: New. Editor(s): Edwards, Michael C.; MacCallum, Robert Charles. Num Pages: 296 pages, 45 black & white illustrations, 27 black & white tables, 12 black & white halftones, 33 b. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152. Weight in Grams: 544. . 2013. 1st Edition. hardcover. . . . .…

Condition: New. Editor(s): Edwards, Michael C.; MacCallum, Robert Charles. Num Pages: 296 pages, 45 black & white illustrations, 27 black & white tables, 12 black & white halftones, 33 b. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152. Weight in Grams: 544. . 2013. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Condition: New. Print on Demand pp. x + 96 Illus.

Condition: New. Print on Demand pp. x + 96 1st edition.

Condition: New. PRINT ON DEMAND pp. x + 96.