Generalizing the Regression Model: Techniques for Longitudinal and Contextual Analysis, Blair Wheaton, Marisa Young
Автор: Wheaton, Blair Young, Marisa Название: Generalizing the regression model ISBN: 1506342094 ISBN-13(EAN): 9781506342092 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Поставка под заказ. Описание:
This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application.
Автор: Gere Anne Ruggles Название: Developing Writers in Higher Education: A Longitudinal Study ISBN: 0472037382 ISBN-13(EAN): 9780472037384 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 40650.00 T Наличие на складе: Невозможна поставка. Описание: For undergraduates following any course of study, it is essential to develop the ability to write effectively. Yet the processes by which students become more capable and ready to meet the challenges of writing for employers, the wider public, and their own purposes remain largely invisible. Developing Writers in Higher Education shows how learning to write for various purposes in multiple disciplines leads college students to new levels of competence. This volume draws on an in-depth study of the writing and experiences of 169 University of Michigan undergraduates, using statistical analysis of 322 surveys, qualitative analysis of 131 interviews, use of corpus linguistics on 94 electronic portfolios and 2,406 pieces of student writing, and case studies of individual students to trace the multiple paths taken by student writers. Topics include student writers' interaction with feedback; perceptions of genre; the role of disciplinary writing; generality and certainty in student writing; students' concepts of voice and style; students' understanding of multimodal and digital writing; high school's influence on college writers; and writing development after college. The digital edition offers samples of student writing, electronic portfolios produced by student writers, transcripts of interviews with students, and explanations of some of the analysis conducted by the contributors. This is an important book for researchers and graduate students in multiple fields. Those in writing studies get an overview of other longitudinal studies as well as key questions currently circulating. For linguists, it demonstrates how corpus linguistics can inform writing studies. Scholars in higher education will gain a new perspective on college student development. The book also adds to current understandings of sociocultural theories of literacy and offers prospective teachers insights into how students learn to write. Finally, for high school teachers, this volume will answer questions about college writing.
Автор: Hans-Georg M?ller Название: Nonparametric Regression Analysis of Longitudinal Data ISBN: 038796844X ISBN-13(EAN): 9780387968445 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author`s Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work.
Автор: Don Chapman, Colette Moore, Miranda Wilcox Название: Studies in the History of the English Language VII: Generalizing vs. Particularizing Methodologies in Historical Linguistic Analysis ISBN: 3110494507 ISBN-13(EAN): 9783110494501 Издательство: Walter de Gruyter Рейтинг: Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book looks at how historical linguists accommodate the written records used for evidence. The limitations of the written record restrict our view of the past and the conclusions that we can draw about its language. However, the same limitations force us to be aware of the particularities of language. This collection blends the philological with the linguistic, combining questions of the particular with generalizations about language change.
Автор: Derrington, Mary L. Название: Qualitative longitudinal methods ISBN: 1506395791 ISBN-13(EAN): 9781506395791 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Поставка под заказ. Описание: Mary Lynne Derrington provides guidance on how to conduct qualitative longitudinal studies rather than focusing on how to analyse such data.
Автор: Victor Ferreres Comella Название: The Constitution of Spain: A Contextual Analysis ISBN: 1849460167 ISBN-13(EAN): 9781849460163 Издательство: Bloomsbury Academic Рейтинг: Цена: 28500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a critical introduction to the principles and institutions that make up the Spanish Constitution, which was enacted in 1978.
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 estimationof 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 book's 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.
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