What is Quantitative Longitudinal Data Analysis?

Author: Vernon Gayle,Paul Lambert

Publisher: Bloomsbury Publishing

ISBN: 1472515412

Category: Social Science

Page: 168

View: 6443

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Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution. The book is designed for postgraduates and researchers across the social sciences considering the use of quantitative longitudinal data resources in their research. It will also be an excellent text for undergraduate and postgraduate courses on advanced quantitative methods.

What is Qualitative Longitudinal Research?

Author: Bren Neale

Publisher: Bloomsbury Publishing

ISBN: 1472530810

Category: Social Science

Page: 176

View: 3075

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This volume offers a new introduction to an evolving research method in the social sciences. Qualitative Longitudinal (QL) research is conducted through time. In its qualitative dimensions it opens up the potential to 'think dynamically' in creative, flexible and innovative ways. QL enquiry is rooted in a long-established tradition of qualitative temporal research, spanning the fields of social anthropology, sociological re-studies and biographical research. But over the past two decades, a growing body of scholarship has begun to document this approach and explore its theoretical underpinnings. This in turn has fuelled a growing interest in and rapid uptake of QL methodology across the disciplines and in international context. This practical volume will be a first port of call for students and researchers wishing to use QL research in their own projects. The chapters follow a logical development, from conceptual and methodological foundations, to research practice and ethics, to the generation and analysis of data. Each chapter offers practical examples drawn from the research field to illustrate key themes and the rich possibilities for new applications.

What is Qualitative Interviewing?

Author: Rosalind Edwards,Janet Holland

Publisher: A&C Black

ISBN: 1849668019

Category: Social Science

Page: 128

View: 2124

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What is Qualitative Interviewing? is an accessible and comprehensive 'what is' and 'how to' methods book. It is distinctive in emphasising the importance of good practice in understanding and undertaking qualitative interviews within the framework of a clear philosophical position. Rosalind Edwards and Janet Holland provide clear and succinct explanations of a range of philosophies and theories of how to know about the social world, and a thorough discussion of how to go about researching it using interviews. A series of short chapters explain and illustrate a range of interview types and practices. Drawing on their own and colleagues' experiences Holland and Edwards provide real research examples as informative illustrations of qualitative interviewing in practice, and the use of a range of creative interview tools. They discuss the use of new technologies as well as tackling enduring issues around asking and listening and power dynamics in research. Written in a clear and accessible style the book concludes with a useful annotated bibliography of key texts and journals in the field. What is Qualitative Interviewing? provides a vital resource for both new and experienced social science researchers across a range of disciplines.

What is Narrative Research?

Author: Corinne Squire,Molly Andrews,Mark Davis,Cigdem Esin,Barbara Harrison,Lars-Christer Hyden,Margareta Hyden

Publisher: Bloomsbury Publishing

ISBN: 1849669708

Category: Social Science

Page: 144

View: 4482

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Narrative research has become a catchword in the social sciences today, promising new fields of inquiry and creative solutions to persistent problems. This book brings together ideas about narrative from a variety of contexts across the social sciences and synthesizes understandings of the field. Rather than focusing on theory, it examines how narrative research is conducted and applied. It operates as a practical introductory guide, basic enough for first-time researchers, but also as a window onto the more complex questions and difficulties that all researchers in this area face. The authors guide readers through current debates about how to obtain and analyse narrative data, about the nature of narrative, the place of the researcher, the limits of researcher interpretations, and the significance of narrative work in applied and in broader political contexts.

Handbook of Developmental Research Methods

Author: Brett Laursen,Todd D. Little,Noel A. Card

Publisher: Guilford Press

ISBN: 1609189515

Category: Social Science

Page: 788

View: 3996

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Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Handbook of Data Analysis

Author: Melissa A Hardy,Alan Bryman

Publisher: SAGE

ISBN: 1446203441

Category: Social Science

Page: 728

View: 9188

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Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Modeling Longitudinal Data

Author: Robert E. Weiss

Publisher: Springer Science & Business Media

ISBN: 0387283145

Category: Medical

Page: 432

View: 4301

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The book features many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material. Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.

Methods and Applications of Longitudinal Data Analysis

Author: Xian Liu

Publisher: Elsevier

ISBN: 0128014822

Category: Mathematics

Page: 530

View: 2806

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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.

Handbook of Longitudinal Research Methods in Organisation and Business Studies

Author: Melanie E. Hassett,Eriikka Paavilainen-Mäntymäki

Publisher: Edward Elgar Publishing

ISBN: 0857936794

Category: Business & Economics

Page: 384

View: 9054

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This Handbook is a very timely contribution to organization and business studies. Most calls for longitudinal research are made in sections of published work that deal with limitations of the study or suggestions for further research. This book places longitudinal research methods at center stage. With its practical, hands-on approach it guides us how to design a longitudinal study in and around organizations whether qualitative or quantitative and how to implement it. I warmly recommend this Handbook to ambitious senior and junior researchers. It makes the commonly presented excuses for not undertaking longitudinal research completely redundant. Rebecca Piekkari, Aalto University, School of Business in Helsinki, Finland This is a very timely book that fills an important gap in the field of research methods. So far very little attention has been paid to longitudinal research methods, while the usefulness of this type of research has often been discussed in many papers and conferences. Insights provided by scholars who have been doing this type of research provide useful guidelines for anyone interested in research methods from senior scholars to young researchers and PhD candidates. This volume will serve as an excellent complement to the existing range of books on research methods. Pervez Ghauri, Kings College London, UK This innovative Handbook demonstrates that there is no single best approach to conducting longitudinal studies. At their best, longitudinal research designs yield rich, contextualised, multilevel and deep understanding of the studied phenomenon. The lack of resources in terms of time, funding and people can pose a serious challenge to conducting longitudinal research. This book tackles many of these challenges and discusses the role of longitudinal research programmes in overcoming such obstacles. This book shows how longitudinal research methods enable the understanding of dynamics, mechanisms, causalities and interrelationships of organizational and business concepts in context and in relation to time. It discusses the richness and versatility of longitudinal research and offers, to students and experienced scholars alike, numerous viewpoints, reflections and personal accounts about conducting longitudinal research, from planning and fieldwork to reporting and managing of research projects.

Capturing Identity

Quantitative and Qualitative Methods

Author: Meike Watzlawik,Aristi Born

Publisher: University Press of America

ISBN: 9780761837343

Category: Psychology

Page: 200

View: 8158

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Scientists from six countries, well known for their work in the field of identity research, explain and comment on methodological approaches used to research identity. This book concentrates on qualitative methods, such as narrative identity analysis or semi-structured interviewing techniques to determine identity status, as well as the quantitative method of using questionnaires. It also discusses the advantages and disadvantages of these methods and their future integration. The reader will learn about qualitative and quantitative research and discover the similarities and differences between the methods of researching identity, depending on research with methodological roots in one field, the other, or both. Chapters include: .James E. Marcia presents his latest thoughts and experiences regarding the identity status concept and focuses on the Identity Status Interview (ISI) as a method to obtain empirical access to ego identity development. .Guenter Mey presents a case study from his project "Adolescence, Identity, Narration" based on problem-centered interviews and the specific interviewing, transcription, and data analysis procedures utilized. .Mechthild Kiegelmann introduces the Voice Approach, a qualitative-oriented research method developed by Carol Gilligan, Lyn Brown, and their colleagues, which can be applied to identity research. .Luc Goossens and Koen Luyckx present their results, which are mostly based on questionnaires offering a broad range of data analyses. .Wim Meeus, the author of the Utrecht-Groningen Identity Development Scale, and Minet de Wied offer an overview of twenty-five years of research on relationships with parents and identity in adolescence."

Best Practices in Quantitative Methods

Author: Jason W. Osborne

Publisher: SAGE

ISBN: 1412940656

Category: Social Science

Page: 596

View: 7666

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The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Applied Longitudinal Data Analysis

Modeling Change and Event Occurrence

Author: Judith D. Singer,John B. Willett

Publisher: Oxford University Press

ISBN: 9780199760725

Category: Psychology

Page: 644

View: 457

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Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: · Downloadable data sets · Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more · Additional material for data analysis

Longitudinal Research

Author: Scott Menard

Publisher: SAGE

ISBN: 9780761922094

Category: Reference

Page: 93

View: 2017

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"Since ... writing the first edition of this monograph in 1990, ... the 1990s have seen an increasing focus on more sophisticated approaches to dealing with missing data in both cross-sectional and longitudinal research. Software applicable to longitudinal research has also improved, and more evidence for the rapid pace of change in longitudinal analysis can be found in the dozen or so books written and edited about longitudinal research design and data analysis published in the 1990s and early in the present millennium. The organization of this monograph remains the same as in the first edition. ... There is much less said about the application of traditional methods of analysis to longitudinal data, and more focus on analytical methods specifically designed for longitudinal data, including time series analysis, linear panel analyis, multilevel and latent growth curve modeling, and event history analysis."--Preface.

Longitudinal Data Analysis for the Behavioral Sciences Using R

Author: Jeffrey D. Long

Publisher: SAGE

ISBN: 1412982685

Category: Social Science

Page: 542

View: 9351

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This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.

Using Narrative in Social Research

Qualitative and Quantitative Approaches

Author: Jane Elliott

Publisher: SAGE

ISBN: 1446227383

Category: Social Science

Page: 232

View: 534

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'Jane Elliott's examination of the use of "narrative" within the broad context of social science inquiry is a must-read for both qualitative and quantitative researchers, novice and expert alike' - Journal of Advanced Nursing `This important book does an impressive job of synthesising a complex literature and bringing together both qualitative and quantitative methods of narrative analysis. It will become a milestone in the development of narrative methods. Although ground-breaking in many ways, it is very clearly written and accessible to readers from a wide variety of backgrounds and methodological experience' - Nigel Gilbert, University of Surrey `An elegantly written, scholarly and accessible text. Jane Elliott shows a sophisticated appreciation of contemporary methodological developments, and makes a persuasive case for the use of narrative approaches in both qualitative and quantitative research. The book challenges and advances debates about combining methods, and shows how stories can work within and across conventional research boundaries. It is a truly original contribution to the literature' - Amanda Coffey, Cardiff School of Social Sciences `An outstanding book. Jane Elliott breaks new ground by demonstrating to new generations of social scientists how the power of narrative can fruitfully be harnessed in social research. This is a "must read" book' - Professor Mike Savage, University of Manchester This is a lucid and accessible introduction to narrative methods in social research. It is also an important book about the nature, role and theoretical basis of research methodology in general. Jane Elliott instructs the reader on the basic methods and methodological assumptions that form the basis of narrative methods. She does so in a way that is practical and accessible and in a way that will make the book a favourite with students and experienced researchers alike. Elliott argues that both qualitative and quantitative methods are characterised by a concern with narrative, and that our research data can best be analyzed if it is seen in narrative terms. In concrete, step-by-step terms she details for the reader how to go about collecting data and how to subject that data to narrative analysis, while at the same time placing this process in its wider theoretical context. She works across the traditional quantitative/qualitative divide to set out the ways in which narrative researchers can uncover such issues as social change, causality and social identity. She also shows how the techniques and skills used by qualitative researchers can be deployed when doing quantitative research and, similarly, how qualitative researchers can sometimes profit from using quantitative skills and techniques. "This book provides both a fascinating and a challenging read. What sets this text apart from other books on research methodology and methods is that it does not focus exclusively on either quantitative or qualitative research approaches, but rather attempts to bridge the divide. The book should be compulsory reading not only for those aspiring to undertake narrative research and those students undertaking higher degree research courses, but also for those more experienced researches wishing to explore contemporary issues in research methods and methodology. As a recent recruit to a lecturer-practitioner post with little recnt experience in the subject area covered by this book, i found it met my needs very well. I would certainly recomment this book for purchase." Dr Andrew Pettipher, University of Nottingham, UK.

Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers

Author: Stanley Durrleman,Tom Fletcher,Guido Gerig,Marc Niethammer,Xavier Pennec

Publisher: Springer

ISBN: 3319149059

Category: Computers

Page: 89

View: 5390

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This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014. The 7 papers presented in this volume were carefully reviewed and selected from 15 submissions. They are organized in topical sections named: longitudinal registration and shape modeling, longitudinal modeling, reconstruction from longitudinal data, and 4D image processing.

Qualitative Data Analysis

Author: Matthew B. Miles,A. Michael Huberman,Johnny Saldaña

Publisher: SAGE

ISBN: 1452257876

Category: Education

Page: 381

View: 2891

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The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

The SAGE Handbook of Quantitative Methods in Psychology

Author: Roger E Millsap,Alberto Maydeu-Olivares

Publisher: SAGE

ISBN: 144620667X

Category: Psychology

Page: 800

View: 9262

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`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

Longitudinal Qualitative Research

Analyzing Change Through Time

Author: Johnny Saldaña

Publisher: Rowman Altamira

ISBN: 9780759102965

Category: Social Science

Page: 199

View: 4213

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Professor Saldaña briefly discusses the basic elements of longitudinal qualitative data, examines time and change in longitudinal qualitative studies, and then offers sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data.