Analysis-of-mixed-data-methods-applications Free Download eBook in PDF and EPUB. You can find writing review for Analysis-of-mixed-data-methods-applications and get all the book for free.


Analysis of Mixed Data

Author: Alexander R. de Leon
Publisher: CRC Press
Language:
Number of Pages:
Format Type: PDF, ePub, Mobi
Size: 18,81 MB
Download: 935
Read Online: 431

Download


A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chapters All chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics An introductory chapter provides a "wide angle" introductory overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines.


Methods and Applications of Longitudinal Data Analysis

Author: Xian Liu
Publisher: Elsevier
Language:
Number of Pages:
Format Type: PDF, Kindle
Size: 19,87 MB
Download: 672
Read Online: 626

Download


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 Research Methods on Trust

Author: Fergus Lyon
Publisher: Edward Elgar Publishing
Language:
Number of Pages:
Format Type: PDF, Docs
Size: 16,49 MB
Download: 946
Read Online: 1187

Download


'A tour-de-force of trust research methodologies, from surveys methods to critical incidents to hermeneutics. . . will prove invaluable to trust researchers of every stripe.' Aks Zaheer, University of Minnesota, US 'This book fills an important gap. The burgeoning field of trust research has employed a wide variety of definitions and methods, but until the appearance of this Handbook there was no comprehensive overview of them. Its contributions, many written by leading international experts, cover conceptual issues as well as qualitative and quantitative methods. The editors are all working at the frontiers of trust research and in this Handbook they have compiled an indispensable source of reference for years to come.' John Child, University of Birmingham, UK 'This is the right book at the right time. Central to the advancement of research on trust is the need to address a host of methodological, empirical, and analytical challenges. This Handbook provides a vital resource for doing so and holds the promise of infusing the literature with novel and enhanced approaches for studying and understanding trust. Researchers new to the field as well as established experts will find a wealth of insights contained herein.' Bill McEvily, University of Toronto, Canada The Handbook of Research Methods on Trust provides an authoritative in-depth consideration of quantitative and qualitative methods for empirical study of trust in the social sciences. As this topic has matured, a growing number of practical approaches and techniques has been utilised across the broad, multidisciplinary community of trust research, providing both insights and challenges. This unique Handbook draws together a wealth of research methods knowledge gained by trust researchers into one essential volume. The contributors examine different methodological issues and particular methods, as well as share their experiences of what works, what does not work, challenges and innovations. Identifying innovative methods for researching trust, this important Handbook will prove invaluable for students and academics in the social sciences that are interested in trust, particularly postgraduates planning empirical research on trust, undergraduates researching issues of trust, faculty teaching research-based courses on trust and related topics, and experienced trust researchers looking for reflection, discussion and inspiration.


Mixed Methods Applications in Action Research

Author: Nataliya V. Ivankova
Publisher: SAGE Publications
Language:
Number of Pages:
Format Type: PDF, Kindle
Size: 30,42 MB
Download: 724
Read Online: 257

Download


Mixed Methods Applications in Action Research is a first-of-its-kind book that provides readers with the information they need to design and conduct a mixed methods action research (MMAR) study in a practical and pragmatic manner. Using a multidisciplinary focus, author Nataliya V. Ivankova provides a scholarly and applied orientation to meet the varied epistemological and professional needs of scholar practitioners. The book is applicable to broad audiences with different levels of research skills, including students learning how to conduct research in practical settings, practitioners faced with the need to address pertinent issues in their professional practices, community leaders seeking to inform policy changes, and college faculty who teach research methods and conduct funded research in collaboration with practitioner-researchers and community stakeholders. A wide variety of pedagogical features make it appropriate for use as an instructional text aimed at developing skills in designing, conducting, implementing, and reporting an action research study that integrates mixed methods. “This author has created what I believe to be a very important body of knowledge and has absolutely moved the topic in a manner that reflects current ways of thinking about research in the 21st century. The research applications presented in the textbook chapters help to make mixed method action research doable in areas that may not be reflected in previous thinking or past instructional methods for teaching research methodology.” —Juanita A. Johnson, Union Institute & University ”The scope of the material covered is terrific and the examples are very useful… I believe that it would be of great use to anyone who is considering this type of design.—Laura J. Meyer, University of Denver “Hones in on the complexities, particularities, and needs of practitioner researchers doing action research…Clearly explains integration for each mixed method type in a way I have not seen before. Figures and boxes [are] once again very valuable, organized, and clear for practitioner-researchers.” —Debby Zambo, Arizona State University


Analysis of Variance for Random Models Volume 2 Unbalanced Data

Author: Hardeo Sahai
Publisher: Springer Science & Business Media
Language:
Number of Pages:
Format Type: PDF
Size: 24,37 MB
Download: 448
Read Online: 184

Download


Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.


Mixed Methods Social Networks Research

Author: Silvia Dom'nguez
Publisher: Cambridge University Press
Language:
Number of Pages:
Format Type: PDF, ePub, Mobi
Size: 27,38 MB
Download: 290
Read Online: 1330

Download


This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-method network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.


Handbook of Mixed Membership Models and Their Applications

Author: Edoardo M. Airoldi
Publisher: CRC Press
Language:
Number of Pages:
Format Type: PDF, ePub, Mobi
Size: 16,40 MB
Download: 284
Read Online: 723

Download


In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through examples using real data sets, you’ll discover how to characterize complex multivariate data in: Studies involving genetic databases Patterns in the progression of diseases and disabilities Combinations of topics covered by text documents Political ideology or electorate voting patterns Heterogeneous relationships in networks, and much more The handbook spans more than 20 years of the editors’ and contributors’ statistical work in the field. Top researchers compare partial and mixed membership models, explain how to interpret mixed membership, delve into factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis, sequence and rank data, and network data as well as semi-supervised mixed membership models.


Handbook of Mixed Methods in Social Behavioral Research

Author: Abbas Tashakkori
Publisher: SAGE
Language:
Number of Pages:
Format Type: PDF, ePub, Docs
Size: 15,85 MB
Download: 694
Read Online: 386

Download


"The Handbook provides both philosophical and practical foundations for using mixed methods in social science inquiry. Theory about mixing methods is nicely balanced and illustrated with concrete examples. All aspects of inquiry are covered from conceptualizing research to selecting methods, analyzing and interpreting data, and reporting findings. The Handbook offers the most comprehensive review of mixed methods available anywhere. It will be a definitive reference for a long time to come." --MICHAEL QUINN PATTON, The Union Institute and Utilization-Focused Evaluation Written so that it can be used either as a pedagogical tool or as a reference for researchers, the book is rich in examples and includes a glossary, easy-to-follow diagrams, and tables to help readers become more familiar with the language and controversies in this evolving area.


Methods and Applications of Linear Models

Author: Ronald R. Hocking
Publisher: John Wiley & Sons
Language:
Number of Pages:
Format Type: PDF, Docs
Size: 16,63 MB
Download: 777
Read Online: 982

Download


Praise for the Second Edition "An essential desktop reference book . . . it should definitely be on your bookshelf." —Technometrics A thoroughly updated book, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition features innovative approaches to understanding and working with models and theory of linear regression. The Third Edition provides readers with the necessary theoretical concepts, which are presented using intuitive ideas rather than complicated proofs, to describe the inference that is appropriate for the methods being discussed. The book presents a unique discussion that combines coverage of mathematical theory of linear models with analysis of variance models, providing readers with a comprehensive understanding of both the theoretical and technical aspects of linear models. With a new focus on fixed effects models, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition also features: Newly added topics including least squares, the cell means model, and graphical inspection of data in the AVE method Frequent conceptual and numerical examples for clarifying the statistical analyses and demonstrating potential pitfalls Graphics and computations developed using JMP® software to accompany the concepts and techniques presented Numerous exercises presented to test readers and deepen their understanding of the material An ideal book for courses on linear models and linear regression at the undergraduate and graduate levels, the Third Edition of Methods and Applications of Linear Models: Regression and the Analysis of Variance is also a valuable reference for applied statisticians and researchers who utilize linear model methodology.


Mixed Method Data Collection Strategies

Author: William G. Axinn
Publisher: Cambridge University Press
Language:
Number of Pages:
Format Type: PDF, ePub, Docs
Size: 17,36 MB
Download: 572
Read Online: 493

Download


Social scientists have long relied on a wide range of tools to collect information about the social world, but as individual fields have become more specialised, researchers are trained to use a narrow range of the possible data collection methods. This book, first published in 2006, draws on a broad range of available social data collection methods to formulate a set of data collection approaches. The approaches described here are ideal for social science researchers who plan to collect new data about people, organisations, or social processes. Axinn and Pearce present methods designed to create a comprehensive empirical description of the subject being studied, with an emphasis on accumulating the information needed to understand what causes what with a minimum of error. In addition to providing methodological motivation and underlying principles, the book is filled with detailed instructions and concrete examples for those who wish to apply the methods to their research.