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Longitudinal Analysis (Multivariate Applications Series)
US $39.61
ApproximatelyRM 167.43
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A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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eBay item number:205685976126
Item specifics
- Condition
- Release Year
- 2014
- Book Title
- Longitudinal Analysis (Multivariate Applications Series)
- ISBN
- 9780415876025
About this product
Product Identifiers
Publisher
Routledge
ISBN-10
0415876028
ISBN-13
9780415876025
eBay Product ID (ePID)
121616345
Product Key Features
Number of Pages
626 Pages
Publication Name
Longitudinal Analysis : Modeling Within-Person Fluctuation and Change
Language
English
Subject
Research, Statistics, Research & Methodology
Publication Year
2014
Type
Textbook
Subject Area
Social Science, Education, Psychology, Business & Economics
Series
Multivariate Applications Ser.
Format
Trade Paperback
Dimensions
Item Height
1.6 in
Item Weight
40.1 Oz
Item Length
10 in
Item Width
7.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
2014-020352
Dewey Edition
23
Reviews
"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 "I would definitely want this book on my shelf ... and would recommend it as required reading in the longitudinal analysis course offered in our department. ... 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 "The book's major strength is its accessibility. It is easy to tell that the author is a great teacher. ... The book would be appropriate as a textbook for introductory courses on longitudinal modeling. ... Hoffman shows that these complex models are within the reach of any student or researcher with a basic knowledge of regression." - Kristopher J. Preacher, Vanderbilt University, USA "The author ... has taught numerous courses and workshops. ... Her course materials are in high demand. ... The use of ... real life examples will permit the type of application and interpretation of results that is often lacking in multilevel modeling textbooks. This will make the book quite unique and valuable. ... I will certainly use this book in my courses and workshops." - Scott M. Hofer, University of Victoria, Canada, "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
Illustrated
Yes
Dewey Decimal
001.433
Table Of Content
Section 1: Building Blocks for Longitudinal Analysis 1. Introduction to the Analysis of Longitudinal Data 2. Between-Person Analysis and Interpretation of Interactions 3. Introduction to Within-Person Analysis and Model Comparisons Section 2: Modeling the Effects of Time 4. Describing Within-Person Fluctuation over Time 5. Introduction to Random Effects of Time and Model Estimation 6. Describing Within-Person Change over Time Section 3: Modeling the Effects of Predictors 7. Time-Invariant Predictors in Longitudinal Models 8. Time-Varying Predictors in Models of Within-Person Fluctuation 9. Time-Varying Predictors in Models of Within-Person Change Section 4: Advanced Applications 10. Analysis over Alternative Metrics and Multiple Dimensions of Time 11. Analysis of Individuals within Groups over Time 12. Analysis of Repeated Measures Designs Not Involving Time 13. Additional Considerations and Related Models
Synopsis
This class-tested introduction emphasizes the relatedness of the models that builds a strong foundation of the basics to better prepare readers for the more advanced models to come. Organized by research design, the text emphasizes modeling decisions unique to longitudinal or repeated measures data. Examples with sample results sections emphasiz, 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 M plus atwww.PilesOfVariance.comto help readers apply the modelsto 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 isan ideal text for graduate-level courses onlongitudinal 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., 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 M plus atwww.PilesOfVariance.comto help readers apply the modelsto 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 isan ideal text for graduate-level courses onlongitudinal 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.
LC Classification Number
BF76.6.L65H64 2014
Item description from the seller
Seller feedback (53,798)
- i***o (57)- Feedback left by buyer.Past monthVerified purchaseI bought this because it was "Good" quality but the book was taped together. Terrible condition, not happy with the product listing.
- a***v (40)- Feedback left by buyer.Past monthVerified purchaseAll good. Almost new condition and quickly sent.
- i***n (455)- Feedback left by buyer.Past monthVerified purchaseArrived as described. Thanks for the opportunity.
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Seller feedback (53,798)
- i***o (57)- Feedback left by buyer.Past monthVerified purchaseI bought this because it was "Good" quality but the book was taped together. Terrible condition, not happy with the product listing.
- a***v (40)- Feedback left by buyer.Past monthVerified purchaseAll good. Almost new condition and quickly sent.
- i***n (455)- Feedback left by buyer.Past monthVerified purchaseArrived as described. Thanks for the opportunity.