Methodological Issues of Longitudinal Surveys
Methodological Issues of Longitudinal Surveys

Author: Hans-Peter Blossfeld

Publisher: Springer

Published: 2016-04-01

Total Pages: 731

ISBN-13: 3658119942

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This book addresses a broad array of pressing challenges of longitudinal surveys and provides innovative solutions to methodological problems based on the example of the NEPS. It covers longitudinal issues such as sampling, weighting, recruiting and fieldwork management, the design of longitudinal surveys and the implementation of constructs, conducting competence tests over the life course, effective methods to improve and to maintain the highest level of data quality, data management tools for large-scale longitudinal surveys, the dissemination of research data to heterogeneous scientific communities, as well as establishing a long-term public relations and communications unit integrating a study’s stakeholder community over time.

Methodology of Longitudinal Surveys
Methodology of Longitudinal Surveys

Author: Peter Lynn

Publisher: John Wiley & Sons

Published: 2009-01-26

Total Pages: 414

ISBN-13: 9780470743911

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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

The SAGE Handbook of Child Research
The SAGE Handbook of Child Research

Author: Gary B Melton

Publisher: SAGE

Published: 2013-12-18

Total Pages: 673

ISBN-13: 1446294765

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It is refreshing to see a book such as this which is both broad in its conceptualization of the field of child research and deep in its focus. The volume′s editors are paragons of awareness when it comes to the need for interdisciplinary research and theory to illuminate the lives and experience of children. - James Garbarino, Loyola University Chicago "Covers a satisfying and unprecedentedly wide range of research relating to childhood. The contributors include many eminent international scholars of childhood, making the book a valuable resource for child researchers. Child advocates will also find the book to be invaluable in their efforts to improve children’s well-being, and to change policies and practices for the better." - Anne Smith, University of Otago "A really scintillating collection that will provide a lasting perspective on child studies - stimulating and comprehensive!" - Jonathan Bradshaw, University of York In keeping with global changes in children′s social and legal status, this Handbook includes examination of children as family members, friends, learners, consumers, people of faith, and participants in law and politics. The contributors also discuss the methodological and ethical requirements for research that occurs in natural settings and that enables children themselves to describe their perspective. The book is divided into three parts: Part I: Setting-Specific Issues in Child Research Part II: Population-Specific Issues in Child Research Part III: Methods in Research on Children and Childhood

Intensive Longitudinal Methods
Intensive Longitudinal Methods

Author: Niall Bolger

Publisher: Guilford Press

Published: 2013-01-22

Total Pages: 274

ISBN-13: 1462506925

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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).

Longitudinal Qualitative Research
Longitudinal Qualitative Research

Author: Johnny Saldaña

Publisher: Rowman Altamira

Published: 2003

Total Pages: 222

ISBN-13: 9780759102965

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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.

Handbook of Longitudinal Research
Handbook of Longitudinal Research

Author: Scott Menard

Publisher: Elsevier

Published: 2007-10-11

Total Pages: 681

ISBN-13: 0080554229

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Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice. As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level. Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields) Summary material will be included for less sohisticated readers Extensive coverage is provided of traditional advanced topics

Applied Longitudinal Data Analysis for Epidemiology
Applied Longitudinal Data Analysis for Epidemiology

Author: Jos W. R. Twisk

Publisher: Cambridge University Press

Published: 2013-05-09

Total Pages: 337

ISBN-13: 110703003X

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A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Longitudinal Data Analysis
Longitudinal Data Analysis

Author: Garrett Fitzmaurice

Publisher: CRC Press

Published: 2008-08-11

Total Pages: 633

ISBN-13: 142001157X

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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

Longitudinal Data Analysis
Longitudinal Data Analysis

Author: Professor Catrien C J H C J H Bijleveld

Publisher: SAGE

Published: 1998-10-26

Total Pages: 462

ISBN-13: 9781446231586

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By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.

Data Quality in Longitudinal Research
Data Quality in Longitudinal Research

Author: David Magnusson

Publisher: Cambridge University Press

Published: 1990

Total Pages: 302

ISBN-13: 9780521380911

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This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.