Hoffman Lesa Longitudinal Analysis: Modeling Within-Person Fluctuation and Change 9780415876025

Варианты приобретения

Цена: 91860.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 201 шт.
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Hoffman Lesa
Название: Longitudinal Analysis: Modeling Within-Person Fluctuation and Change
ISBN: 9780415876025
Издательство: Taylor&Francis
Классификация:

Методы исследований: Общие положения

Психологическая методология

ISBN-10: 0415876028
Обложка/Формат: Paperback
Страницы: 654
Вес: 1.20 кг.
Дата издания: 27.11.2014
Серия: Multivariate applications series
Язык: English
Иллюстрации: 69 tables, black and white; 26 line drawings, black and white; 22 halftones, black and white; 48 illustrations, black and white
Размер: 254 x 177 x 36
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Psychological methodology, BUSINESS & ECONOMICS / Statistics,EDUCATION / Statistics,PSYCHOLOGY / Statistics
Подзаголовок: Modeling within-person fluctuation and change
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter.

Written for non-mathematically-oriented readers, this text features:

A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data

An emphasis on how the terminology, interpretation, and estimation　of familiar general linear models relates to those of more complex models for longitudinal data

Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process

Sample results sections for each example to provide useful templates for published reports

Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus　at　www.PilesOfVariance.com　to help readers apply the models　to their own data

The book opens with the building blocks of longitudinal analysis--general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is　an ideal text for graduate-level courses on　longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The books accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.

Longitudinal Analysis: Modeling Within-Person Fluctuation and Change, Hoffman Lesa