Hypothesis Testing And Model Selection In The Social Sciences

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Hypothesis Testing And Model Selection In The Social Sciences

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Author : David L. Weakliem
language : en
Publisher: Guilford Publications
Release Date : 2016-04-25

Hypothesis Testing And Model Selection In The Social Sciences written by David L. Weakliem and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-25 with Social Science categories.

Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.

The Essential Guide To Doing Your Research Project

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Author : Zina O′Leary
language : en
Publisher: SAGE
Release Date : 2021-03-10

The Essential Guide To Doing Your Research Project written by Zina O′Leary and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-10 with Social Science categories.

This practical book sets out how to approach each stage of your research project, from choosing a research design and methodology to collecting and analysing data and communicating your results – and showcases best practice along the way. Packed with pragmatic guidance for tackling research in the real world, this fourth edition: Offers support for diving into a project using digital data, with how-to guidance on conducting online and social media research Empowers you to confidently disseminate your work and present with impact Helps you map out your research journey and put a plan in place with decision trees in every chapter Challenges you to be reflective and critical about the research you consume and undertake Zina O′Leary′s detailed and down-to-earth approach gives you the research skills and momentum you need to successfully complete your research project.

Multilevel Modeling Methods With Introductory And Advanced Applications

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Author : Ann A. O'Connell
language : en
Publisher: IAP
Release Date : 2022-03-01

Multilevel Modeling Methods With Introductory And Advanced Applications written by Ann A. O'Connell and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Education categories.

Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation. In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs. Each chapter contains a section called Try This!, which poses a structured data problem for the reader. We have linked our book to a website (http://modeling.uconn.edu) containing data for the Try This! section, creating an opportunity for readers to learn by doing. The inclusion of the Try This! problems, data, and sample code eases the burden for instructors, who must continually search for class examples and homework problems. In addition, each chapter provides recommendations for additional methodological and applied readings.

Digital Social Research

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Author : Giuseppe A. Veltri
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-25

Digital Social Research written by Giuseppe A. Veltri and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-25 with Social Science categories.

To analyse social and behavioural phenomena in our digitalized world, it is necessary to understand the main research opportunities and challenges specific to online and digital data. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research, Giuseppe Veltri discusses the principles and frameworks that underlie each technique of digital research. This practical guide covers methodological issues such as dealing with different types of digital data, construct validity, representativeness and big data sampling. It looks at different forms of unobtrusive data collection methods (such as web scraping and social media mining) as well as obtrusive methods (including qualitative methods, web surveys and experiments). Special extended attention is given to computational approaches to statistical analysis, text mining and network analysis. Digital Social Research will be a welcome resource for students and researchers across the social sciences and humanities carrying out digital research (or interested in the future of social research).

Handbook Of Advanced Multilevel Analysis

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Author : Joop Hox
language : en
Publisher: Psychology Press
Release Date : 2011-01-11

Handbook Of Advanced Multilevel Analysis written by Joop Hox and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Psychology categories.

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

The Sage Encyclopedia Of Social Science Research Methods

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Author : Michael Lewis-Beck
language : en
Publisher: SAGE
Release Date : 2004

The Sage Encyclopedia Of Social Science Research Methods written by Michael Lewis-Beck and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Reference categories.

"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections."--CHOICE"Appreciative users of this volume will be students, faculty, and researchers in academic, special, and large public libraries, for whom it is recommended."--LIBRARY JOURNALSAGE Reference is proud to announce The SAGE Encyclopedia of Social Science Research Methods, a three-volume resource that is a first of its kind, developed by the leading publisher of social science research methods books and journals. This unique multi-volume reference set offers readers an all-encompassing education in the ways of social science researchers. Written to be accessible to general readers, entries do not require any advanced knowledge or experience to understand the purposes and basic principles of any of the methods. The Encyclopedia features two major types of entries: definitions, consisting of a paragraph or two, provide a quick explanation of a methodological term; and topical treatments or essays discussing the nature, history, application/example and implication of using a certain method. Also included are suggested readings and references for future study. To help provide a more complete explanation than is often achieved within the scope of a single article, key terms and concepts appear in SMALL CAPITAL LETTERSto refer readers to related terms explained elsewhere. In addition to epistemological issues that influence the nature of research questions and assumptions, The SAGE Encyclopedia of Social Science Research Methods tackles topics not normally viewed as part of social science research methodology, from philosophical issues such as poststructuralismto advanced statistical techniques. In covering the full range of qualitative and quantitative data analyses, this key reference offers an integrated approach that allows the reader to choose the most appropriate and robust techniques to apply to each situation. Many entries treat traditional topics in a novel way, stimulating both interest and new perspectives. One example is the entry Econometrics, by Professor DamodarGujarati. Following a process which many educators preach but seldom practice, Gujarati walks the reader twice through the research process from economic theory to data and models to analysis, once in principle and a second time with an example. In using the ordinary process of economic research to achieve an extraordinary impact, he leaves the reader thinking not only about methods and models but also the fundamental purpose of econometrics. Topics Covered Analysis of Variance Association and Correlation Basic Qualitative Research Basic Statistics Causal Modeling (Structural Equations) Discourse/Conversation Analysis Econometrics Epistemology Ethnography Evaluation Event History Analysis Experimental Design Factor Analysis & Related Techniques Feminist Methodology Generalized Linear Models Historical/Comparative Interviewing in Qualitative Research Latent Variable Model Life History/Biography LoglinearModels (Categorical Dependent Variables) Longitudinal Analysis Mathematics and Formal Models Measurement Level Measurement Testing & Classification Multiple Regression Multilevel Analysis Qualitative Data Analysis Sampling in Surveys Sampling in Qualitative Research Scaling Significance Testing Simple Regression Survey Design Time Series Key Features Over 900 entries arranged A to Z Each entry is written by a leading authority in the field, covering both quantitative and qualitative methods Covers all disciplines within the social sciences Contains both concise definitions and in-depth essays Three volumes and more than 1500 pages

Sociological Foundations Of Computational Social Science

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Author : Yoshimichi Sato
language : en
Publisher: Springer Nature
Release Date : 2024-03-23

Sociological Foundations Of Computational Social Science written by Yoshimichi Sato and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-23 with Social Science categories.

This book provides solid sociological foundations to computational social science (CSS). CSS is an emerging research field, and many books with those words in the title are on the market. However, CSS has not become mainstream in sociology, for which there are two reasons. First, CSS does not necessarily solve major research questions in sociology. Second, its sociological foundations are weak. These two reasons are interrelated—that is, CSS cannot solve major research questions because its sociological foundations are weak. Thus, even if it tries to solve those questions, its approaches seem to mainstream sociologists to miss the point. To resolve that shortcoming, this book fills the gap between CSS and sociology, shows that CSS can solve major research questions in sociology, and advances sociology by introducing to it theories and methodologies of CSS.

Analysis And Modeling Of Complex Data In Behavioral And Social Sciences

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Author : Donatella Vicari
language : en
Publisher: Springer
Release Date : 2014-07-05

Analysis And Modeling Of Complex Data In Behavioral And Social Sciences written by Donatella Vicari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-05 with Mathematics categories.

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.

The Sage Encyclopedia Of Research Design

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Author : Bruce B. Frey
language : en
Publisher: SAGE Publications
Release Date : 2022-01-27

The Sage Encyclopedia Of Research Design written by Bruce B. Frey and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Social Science categories.

The SAGE Encyclopedia of Research Design maps out how one makes decisions about research design, interprets data, and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this four-volume work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more. Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers. At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. The SAGE Encyclopedia of Research Design will assist students and researchers with their work while providing vital information on research strategies.

What If There Were No Significance Tests

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Author : Lisa L. Harlow
language : en
Publisher: Routledge
Release Date : 2016-03-02

What If There Were No Significance Tests written by Lisa L. Harlow and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-02 with Psychology categories.

The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.