Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Methodology of Longitudinal Surveys PDF full book. Access full book title Methodology of Longitudinal Surveys by Peter Lynn. Download full books in PDF and EPUB format.
Author: Peter Lynn Publisher: John Wiley & Sons ISBN: 9780470743911 Category : Mathematics Languages : en Pages : 414
Book Description
Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics. This book: Covers all the main stages in the design, implementation and analysis of longitudinal surveys. Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection. Discusses the state of the art in sampling, weighting and non response adjustment. Features worked examples throughout using real data. Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias. Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field
Author: Peter Lynn Publisher: John Wiley & Sons ISBN: 9780470743911 Category : Mathematics Languages : en Pages : 414
Book Description
Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics. This book: Covers all the main stages in the design, implementation and analysis of longitudinal surveys. Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection. Discusses the state of the art in sampling, weighting and non response adjustment. Features worked examples throughout using real data. Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias. Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field
Author: Niall Bolger Publisher: Guilford Press ISBN: 1462506925 Category : Psychology Languages : en Pages : 274
Book Description
This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).
Author: Xian Liu Publisher: Elsevier ISBN: 0128014822 Category : Mathematics Languages : en Pages : 531
Book Description
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: - descriptive methods for delineating trends over time - linear mixed regression models with both fixed and random effects - covariance pattern models on correlated errors - generalized estimating equations - nonlinear regression models for categorical repeated measurements - techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. - From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis - Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection - Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
Author: Garrett Fitzmaurice Publisher: CRC Press ISBN: 142001157X Category : Mathematics Languages : en Pages : 633
Book Description
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Author: Johnny Saldaña Publisher: Rowman Altamira ISBN: 9780759102965 Category : Science Languages : en Pages : 222
Book Description
Johnny Saldana outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that "playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition." Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Saldana presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective.
Author: Mary Lynne Derrington Publisher: SAGE Publications ISBN: 1506395805 Category : Social Science Languages : en Pages : 129
Book Description
Mary Lynne Derrington’s Qualitative Longitudinal Methods: Researching Implementation and Change addresses the use of the qualitative longitudinal methods, their unique methodological features, and the challenges and benefits to this approach. This short supplemental text uses examples of published studies, and the author’s own stories and examples, to show application of the concepts. A chapter on how to prepare a manuscript for publication concentrates on the distinctive aspects of publishing longitudinal studies. The book will be useful to those researching change and its impact on organizations and individuals resulting from the implementation of programs and policies.
Author: Bren Neale Publisher: SAGE ISBN: 1526455153 Category : Social Science Languages : en Pages : 416
Book Description
Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field.
Author: Kees van Montfort Publisher: Springer Science & Business Media ISBN: 3642117600 Category : Mathematics Languages : en Pages : 311
Book Description
Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ̈ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason.
Author: Janet Z. Giele Publisher: SAGE Publications ISBN: 145225107X Category : Social Science Languages : en Pages : 361
Book Description
What are the most effective methods for doing life-course research? In this volume, the field's founders and leaders answer this question, giving readers tips on: the art and method of the appropriate research design; the collection of life-history data; and the search for meaningful patterns to be found in the results.
Author: Jason Newsom Publisher: Routledge ISBN: 1136705473 Category : Psychology Languages : en Pages : 407
Book Description
This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.
Author: Peter Lynn
Author: Peter Lynn
Author: Niall Bolger
Author: Xian Liu
Author: Garrett Fitzmaurice
Author: Johnny Saldaña
Author: Mary Lynne Derrington
Author: Bren Neale
Author: Kees van Montfort
Author: Janet Z. Giele
Author: Jason Newsom