Longitudinal Analysis: Modeling Within-Person Fluctuation and Change (Multivariate Applications Series)

3,5 valoración promedio
( 2 valoraciones por Goodreads )
 
9780415876001: Longitudinal Analysis: Modeling Within-Person Fluctuation and Change (Multivariate Applications Series)
Ver todas las copias de esta edición ISBN.
 
 
Críticas:

"This book will fill the void for a complete, accessible text on longitudinal data analysis. ... The writing style is conversational and non-threatening. ... The author walks the readers through the examples in a way that makes them easy to follow. ... To have a single book that covers the complete topic of multilevel modelling related to longitudinal analysis would be exactly what I would need for my multilevel modelling course." – Michael J. Rovine, Penn State University, USA

"I would definitely ... recommend it as required reading in the longitudinal analysis course. ... It addresses in an accessible way, so many of the questions that non-statisticians and researchers new to longitudinal analysis ask or should ask. I have no doubt that this book will make a significant contribution to the field. I have been waiting many years for a book like this!"Andrea Piccinin, University of Victoria, Canada

"This book fills a gap by being more accessible than just about any other book on the topic. ... [It] provides a thorough introductory treatment that will be accessible to students, while also serving as a good reference text for more experienced users. ... Hoffman shows that these complex models are within the reach of any student or researcher with a basic knowledge of regression."Kristopher Preacher, Vanderbilt University, USA

"Dr. Hoffman offers a highly informative, comprehensive and accessible book that will be very useful to students and researchers interested in modeling multilevel and longitudinal data. The writing is very clear, incorporating necessary methodological details while using an understandable application approach." - Lisa L. Harlow, University of Rhode Island, USA

Reseña del editor:

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 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Los mejores resultados en AbeBooks

1.

Lesa Hoffman
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Cantidad disponible: > 20
Librería
BWB
(Valley Stream, NY, Estados Unidos de America)
Valoración
[?]

Descripción Condición: New. Depending on your location, this item may ship from the US or UK. Nº de ref. del artículo: 97804158760010000000

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 149,65
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Hoffman, Lesa
Publicado por Routledge (2016)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Paperback Cantidad disponible: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Routledge, 2016. Paperback. Condición: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9780415876001_lsuk

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 145,89
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,40
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Lesa Hoffman
Publicado por Taylor Francis Ltd, United Kingdom (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 1
Librería
Book Depository hard to find
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Ltd, United Kingdom, 2014. Hardback. Condición: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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 estimationã 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 Mplusã atã to help readers apply the modelsã 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 isã an ideal text for graduate-level courses onã 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. Nº de ref. del artículo: BTE9780415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 158,13
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Hoffman, Lesa
Publicado por Taylor and Francis (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Cantidad disponible: 5
Librería
Paperbackshop-US
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción Taylor and Francis, 2014. HRD. Condición: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. del artículo: VT-9780415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 166,05
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,28
A Estados Unidos de America
Destinos, gastos y plazos de envío

5.

HOFFMAN, LESA
Publicado por Routledge (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 1
Librería
Herb Tandree Philosophy Books
(Stroud, GLOS, Reino Unido)
Valoración
[?]

Descripción Routledge, 2014. Hardback. Condición: NEW. 9780415876001 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0831944

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 167,17
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 9,08
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Hoffman, Lesa
Publicado por Routledge (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Cantidad disponible: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Routledge, 2014. HRD. Condición: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. del artículo: IP-9780415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 166,13
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,21
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Hoffman, Lesa
Publicado por Taylor & Francis (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 1
Librería
Revaluation Books
(Exeter, Reino Unido)
Valoración
[?]

Descripción Taylor & Francis, 2014. Hardcover. Condición: Brand New. 560 pages. 10.00x7.00x1.50 inches. In Stock. Nº de ref. del artículo: __0415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 192,46
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,81
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Hoffman, Lesa
Publicado por Routledge (2018)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 17
Impresión bajo demanda
Librería
Murray Media
(North Miami Beach, FL, Estados Unidos de America)
Valoración
[?]

Descripción Routledge, 2018. Hardcover. Condición: New. Never used! This item is printed on demand. Nº de ref. del artículo: 0415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 201,19
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 1,63
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Lesa Hoffman
Publicado por Taylor Francis Ltd, United Kingdom (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 10
Impresión bajo demanda
Librería
Book Depository International
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Ltd, United Kingdom, 2014. Hardback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****. 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 estimationã 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 Mplusã atã to help readers apply the modelsã 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 isã an ideal text for graduate-level courses onã 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. Nº de ref. del artículo: APC9780415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 203,86
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Lesa Hoffman
Publicado por Taylor Francis Ltd, United Kingdom (2014)
ISBN 10: 0415876001 ISBN 13: 9780415876001
Nuevo Tapa dura Cantidad disponible: 10
Impresión bajo demanda
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Ltd, United Kingdom, 2014. Hardback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****.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 estimationã 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 Mplusã atã to help readers apply the modelsã 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 isã an ideal text for graduate-level courses onã 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. Nº de ref. del artículo: APC9780415876001

Más información sobre este vendedor | Contactar al vendedor

Comprar nuevo
EUR 205,20
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda