Download or read book Integrated Inferences written by Macartan Humphreys and published by Cambridge University Press. This book was released on 2023-10-31 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a Bayesian approach to the use of causal models to design and carry out qualitative and mixed-methods research. Addressed to researchers across the social sciences, this book shows how causal models allow us to combine extensive and intensive data strategies to answer both general and case-specific causal questions.

Download or read book Statistical Inference written by Helio S. Migon and published by CRC Press. This book was released on 2014-09-03 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition. New to the Second Edition New material on empirical Bayes and penalized likelihoods and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.

Download or read book Model Based Inference in the Life Sciences written by David R. Anderson and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

Download or read book Advances in Mixed Methods Research written by Manfred Max Bergman and published by SAGE. This book was released on 2008-05-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Mixed Methods Research provides an essential introduction to the fast-growing field of mixed methods research. Bergman′s book examines the current state of mixed-methods research, exploring exciting new ways of conceptualizing and conducting empirical research in the social and health sciences. Contributions from the world′s leading experts in qualitative, quantitative, and mixed methods approaches are brought together, clearing the way for a more constructive approach to social research. These contributions cover the main practical and methodological issues and include a number of different visions of what mixed methods research is. The discussion also covers the use of mixed methods in a diverse range of fields, including sociology, education, politics, psychology, computational science and methodology. This book represents an important contribution to the ongoing debate surrounding the use of mixed methods in the social sciences and health research, and presents a convincing argument that the conventional, paradigmatic view of qualitative and quantitative research is outdated and in need of replacement. It will be essential reading for anyone actively engaged in qualitative, quantitative and mixed methods research and for students of social research methods. Manfred Max Bergman is Chair of Methodology and Political Sociology at the University of Basel.

Download or read book An Introduction to Fully Integrated Mixed Methods Research written by Elizabeth G. Creamer and published by SAGE Publications. This book was released on 2017-02-09 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Fully Integrated Mixed Methods Research by Elizabeth G. Creamer provides the tools needed to design, execute, and evaluate fully integrated mixed methods research studies. A uniting metaphor of the architectural arch helps students understand the benefits of a mixed methods approach as they consider ways to integrate the qualitative and quantitative strands at all stages of design and execution. With use of examples from popular media and published research, this text also includes a detailed discussion of ways to accomplish mixing methods during data collection and analysis and a separate chapter on designing and executing a realistic mixed methods dissertation.

Download or read book An Introduction to Fully Integrated Mixed Methods Research written by Elizabeth G. Creamer and published by SAGE Publications. This book was released on 2017-02-09 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Fully Integrated Mixed Methods Research by Elizabeth G. Creamer provides the tools needed to design, execute, and evaluate fully integrated mixed methods research studies. A uniting metaphor of the architectural arch helps students understand the benefits of a mixed methods approach as they consider ways to integrate the qualitative and quantitative strands at all stages of design and execution. With use of examples from popular media and published research, this text also includes a detailed discussion of ways to accomplish mixing methods during data collection and analysis and a separate chapter on designing and executing a realistic mixed methods dissertation.

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Download or read book Research Design for the Behavioral Sciences written by Stephen V. Flynn, PhD, LPC, LMFT-S, NCC, ACS and published by Springer Publishing Company. This book was released on 2021-02-17 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I wholeheartedly invite counselor trainees and counselors into this journey of growing the research component of their professional identity... Flynn and his colleagues prepare counselor trainees and counselors for this journey well and guide them carefully toward researcher competency. In an approachable and developmentally appropriate manner, they highlight for the profession the value of research and how it can be conducted." - Danica G. Hays, PhD American Counseling Fellow Professor and Executive Associate Dean University of Nevada, Las Vegas Research Design for the Behavioral Sciences fills an important gap for the helping professions by offering a blueprint for advanced concepts and an applied approach to understanding quantitative, qualitative, and mixed methods research design. This graduate-level text seamlessly weaves together the philosophy, science, and practical application of the most common methodological frameworks in practice. Advanced research design concepts are presented through clear and in-depth blueprints, applied case studies, myriad examples, and helpful learning activities. Written in detailed yet accessible language, this text describes the foundations of behavioral science research. The authors explore research-based philosophical integration, along with the technical application of every tradition. Through this philosophical and pragmatic approach, students will be able to attain a well-rounded and comprehensive understanding of behavioral science research. This text provides students with the opportunity to reach a greater level of research efficacy though the inclusion of methodological procedures, data analysis methods, reliability/validity standards, ethics, and directions on how to increase the rigor of each approach to research. Instructor resources include an instructor's manual, learning activities, test bank, and PowerPoints. Purchase includes digital access for use on most mobile devices and computers. Key Features: Provides clear, detailed, and contextually accurate examples of writing, quantitative, qualitative, and mixed methods procedures Reviews the paradigmatic hierarchy of each research tradition along with key analytic features in detail Delivers instructions for enhancing the methodological rigor of each approach Analyzes methodology-specific multicultural issues Demonstrates the application of a wide range of research methodologies with case studies Reviews the trends and history in research for counseling, psychology, social work, and marriage and family therapy Offers comprehensive instructor resources including manual, learning activities, test bank, and PowerPoint slides

Download or read book Inferences during Reading written by Edward J. O'Brien and published by Cambridge University Press. This book was released on 2015-04-16 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of inferencing from a wide variety of theoretical and disciplinary perspectives, as well as different levels of processing.

Download or read book Moral Inferences written by Jean-Francois Bonnefon and published by Psychology Press. This book was released on 2017-01-20 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moral Inferences is the first volume to thoroughly explore the relationship between morality and reasoning. Drawing on the expertise of world-leading researchers, this text provides ground-breaking insight into the importance of studying these distinct fields together. The volume integrates the latest research into morality with current theories in reasoning to consider the prominent role reasoning plays in everyday moral judgements. Featuring contributions on topics such as moral arguments, causal models, and dual process theory, this text provides a new perspectives on previous studies, encouraging researchers to adopt a more integrated approach in the future. Moral Inferences will be essential reading for students and researchers of moral psychology, specifically those interested in reasoning, rationality and decision-making.

Download or read book Integrated Population Models written by Michael Schaub and published by Academic Press. This book was released on 2021-11-12 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. - Offers practical and accessible ecological applications of IPMs (integrated population models) - Provides full documentation of analyzed code in the Bayesian framework - Written and structured for an easy approach to the subject, especially for non-statisticians

Download or read book Inferences during Reading written by Edward J. O'Brien and published by Cambridge University Press. This book was released on 2015-04-16 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inferencing is defined as 'the act of deriving logical conclusions from premises known or assumed to be true', and it is one of the most important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers in cognitive psychology, educational psychology, and neuroscience on topics central to our understanding of the inferential process during reading. The chapters cover aspects of inferencing that range from the fundamental bottom-up processes that form the basis for an inference to occur, to the more strategic processes that transpire when a reader is engaged in literary understanding of a text. Basic activation mechanisms, word-level inferencing, methodological considerations, inference validation, causal inferencing, emotion, development of inferences processes as a skill, embodiment, contributions from neuroscience, and applications to naturalistic text are all covered as well as expository text, online learning materials, and literary immersion.

Download or read book Improving Bayesian Reasoning What Works and Why written by Gorka Navarrete and published by Frontiers Media SA. This book was released on 2016-02-02 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: We confess that the first part of our title is somewhat of a misnomer. Bayesian reasoning is a normative approach to probabilistic belief revision and, as such, it is in need of no improvement. Rather, it is the typical individual whose reasoning and judgments often fall short of the Bayesian ideal who is the focus of improvement. What have we learnt from over a half-century of research and theory on this topic that could explain why people are often non-Bayesian? Can Bayesian reasoning be facilitated, and if so why? These are the questions that motivate this Frontiers in Psychology Research Topic. Bayes' theorem, named after English statistician, philosopher, and Presbyterian minister, Thomas Bayes, offers a method for updating one’s prior probability of an hypothesis H on the basis of new data D such that P(H|D) = P(D|H)P(H)/P(D). The first wave of psychological research, pioneered by Ward Edwards, revealed that people were overly conservative in updating their posterior probabilities (i.e., P(D|H)). A second wave, spearheaded by Daniel Kahneman and Amos Tversky, showed that people often ignored prior probabilities or base rates, where the priors had a frequentist interpretation, and hence were not Bayesians at all. In the 1990s, a third wave of research spurred by Leda Cosmides and John Tooby and by Gerd Gigerenzer and Ulrich Hoffrage showed that people can reason more like a Bayesian if only the information provided takes the form of (non-relativized) natural frequencies. Although Kahneman and Tversky had already noted the advantages of frequency representations, it was the third wave scholars who pushed the prescriptive agenda, arguing that there are feasible and effective methods for improving belief revision. Most scholars now agree that natural frequency representations do facilitate Bayesian reasoning. However, they do not agree on why this is so. The original third wave scholars favor an evolutionary account that posits human brain adaptation to natural frequency processing. But almost as soon as this view was proposed, other scholars challenged it, arguing that such evolutionary assumptions were not needed. The dominant opposing view has been that the benefit of natural frequencies is mainly due to the fact that such representations make the nested set relations perfectly transparent. Thus, people can more easily see what information they need to focus on and how to simply combine it. This Research Topic aims to take stock of where we are at present. Are we in a proto-fourth wave? If so, does it offer a synthesis of recent theoretical disagreements? The second part of the title orients the reader to the two main subtopics: what works and why? In terms of the first subtopic, we seek contributions that advance understanding of how to improve people’s abilities to revise their beliefs and to integrate probabilistic information effectively. The second subtopic centers on explaining why methods that improve non-Bayesian reasoning work as well as they do. In addressing that issue, we welcome both critical analyses of existing theories as well as fresh perspectives. For both subtopics, we welcome the full range of manuscript types.

Download or read book Foundations of Mixed Methods Research written by Abbas Tashakkori and published by SAGE Publications. This book was released on 2020-09-10 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The highly-anticipated second edition of the Foundations of Mixed Methods Research:Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences gives students a comprehensive overview of mixed methods from philosophical roots and traditions through designing, conducting, and disseminating a study. Authors Abbas Tashakkori, R. Burke Johnson, and Charles Teddlie have thoroughly updated the text to reflect the many advances over the last decade in mixed methods. New example studies throughout and a new appendix highlight the latest research on mixed methods and current best practices. New sections on evaluating quality in mixed methods studies and writing up research results round out the process of mixed methods research. The authors have added features like content summaries and objectives at the beginning of each chapter and chapter summaries and previews at the end of each chapter to aid readers in their mixed methods journey. Students across social science, behavioral science, and health and nursing fields are now expected to be proficient in mixed methods research. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods, from research design and data collection through to analysis and conclusions. This new edition includes additional information on writing, publishing, and disseminating results, as well as information on policy impact and annotated examplars of mixed methods research studies. A new generation of mixed methods scholars can now engage with this vital text in mixed methods research.

Download or read book Integrated Inferences written by Macartan Humphreys and published by Cambridge University Press. This book was released on 2023-10-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.

Download or read book Teaching Learning and Visual Literacy written by Billie Eilam and published by Cambridge University Press. This book was released on 2012-08-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the importance of visual literacy education, offering strategies for improving the visual analytic abilities of teachers and students.

Download or read book Mixed Methods Research written by Vicki L. Plano Clark and published by SAGE Publications. This book was released on 2015-09-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed Methods Research: A Guide to the Field by Vicki L. Plano Clark and Nataliya V. Ivankova is a practical book that introduces a unique socio-ecological framework for understanding the field of mixed methods research and its different perspectives. Based on the framework, it addresses basic questions including: What is the mixed methods research process? How is mixed methods research defined? Why is it used? What designs are available? How does mixed methods research intersect with other research approaches? What is mixed methods research quality? How is mixed methods shaped by personal, interpersonal, and social contexts? By focusing on the topics, perspectives, and debates occurring in the field of mixed methods research, the book helps students, scholars, and researchers identify, understand, and participate in these conversations to inform their own research practice. Mixed Methods Research is Volume 3 in the SAGE Mixed Methods Research Series.