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Critical Ethnography: Method, Ethics, and Performance
Par D. Soyini Madison. 2020
"Critical Ethnography is a rare and beautiful synthesis of deft theorizing and principled pragmatics. The complexities of ethnography demand a…
grasp of both theory and practice, but rarely have they come together so clearly and completely as in this passionately written text. I especially appreciate the thoughtful attention to the intellectual roots of the critical tradition in ethnography, and to the way students are rigorously led through the methodological consequences of critical epistemology." —Judith Hamera, Texas A&M University "I would strongly recommend this book for use in any course that explores the role of critical analysis in research. This book thoughtfully discusses and teaches about trying to understand the meanings attributed by others in regard to their expertise." —Amy Paul-Ward, Florida International University What is critical ethnography? How do we use theory to interpret research data? What is performance ethnography? Readers can find answers to these fundamental questions in D. Soyini Madison′s engaging and highly multidisciplinary Third Edition of Critical Ethnography: Methods, Ethics, and Performance. The book presents a fresh new look at critical ethnography by emphasizing the significance of ethics and performance in the art and politics of fieldwork. The productive links between theory and method are celebrated in this title. Theoretical concepts range from queer theory, feminist theory, and critical race theory to Marxism and phenomenology. The methodological techniques range from designing and asking in-depth interview questions and developing rapport to coding and interpreting data. The various theories and methods culminate in three fictional ethnographic case studies that "enact" the interdependence between theory and method and the significance of social theory, ethics, and performance.
Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers…
and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.
Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences (Quantitative Applications in the Social Sciences)
Par George Engelhard, Jue Wang. 2021
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents…
a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent…
years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
Autoethnography: Process, Product, and Possibility for Critical Social Research
Par Sherick A. Hughes, Julie L. Pennington. 2017
2020 Society of Professors of Education Outstanding Book Award winner Autoethnography: Process, Product, and Possibility for Critical Social Research provides…
a short introduction to the methodological tools and concepts of autoethnography, combining theoretical approaches with practical "how to" information. Written for social science students, teachers, teacher educators, and educational researchers, the text shows readers how autoethnographers collect, analyze, and report data. With its grounding in critical social theory and inclusion of innovative methods, this practical resource will move the field of autoethnography forward.
Research Basics: Design to Data Analysis in Six Steps
Par James V. Spickard. 2017
Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based…
on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the "hows" and "whys" behind social science research. Students using this book will learn how to turn their research questions into results.
Research Methods and Statistics: An Integrated Approach
Par Janie H. Wilson, Shauna W. Joye. 2017
This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied…
by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.
Autoethnography: Process, Product, and Possibility for Critical Social Research
Par Sherick A. Hughes, Julie L. Pennington. 2017
2020 Society of Professors of Education Outstanding Book Award winner Autoethnography: Process, Product, and Possibility for Critical Social Research provides…
a short introduction to the methodological tools and concepts of autoethnography, combining theoretical approaches with practical "how to" information. Written for social science students, teachers, teacher educators, and educational researchers, the text shows readers how autoethnographers collect, analyze, and report data. With its grounding in critical social theory and inclusion of innovative methods, this practical resource will move the field of autoethnography forward.
Qualitative Online Interviews: Strategies, Design, and Skills
Par Janet Salmons. 2015
The Second Edition of Qualitative Online Interviews provides researchers the guidance they need to extend the reach of their studies…
beyond physical boundaries. Focusing on designing, conducting, and assessing data drawn from online interviews as well as from observations, materials, and artifacts collected online, the book emphasizes the use of in-depth interviews in qualitative research or mixed-methods designs. Written in an easy-to-read manner, the thorough Second Edition offers the practical information and scholarly foundations needed to make thoughtful decisions in technology-infused research.
Statistics: A Gentle Introduction
Par Frederick L. Coolidge. 2021
The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult…
or dull. This text minimizes students’ anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices. New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself." Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Methods for Quantitative Macro-Comparative Research
Par Salvatore J. Babones. 2014
Will a one-child policy increase economic growth? Does globalization contribute to global warming? Are unequal societies less healthy than more…
egalitarian societies? It is questions like these that social scientists turn to quantitative macro-comparative research (QMCR) to answer. Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. This non-mathematical book is intended to bridge that gap, interpreting the advanced statistics used in QMCR in terms of verbal descriptions that any college graduate with a basic background in statistics can follow. It addresses both the philosophical foundations and day-to-day practice of QMCR in an effort to improve research outcomes and ensure policy relevance. A comprehensive guide to QMCR, the book presents an overview of the questions that can be answered using QMCR, details the steps of the research process, and concludes with important guidelines and best practices for conducting QMCR. The book assumes that the reader has a sound grasp of the fundamentals of linear regression modeling, but no advanced mathematical knowledge is required in order for researchers and students to read, understand, and enjoy the book. A conversational discussion style supplemented by 75 tables and figures makes the book′s methodological arguments accessible to both students and professionals. Extensive citations refer readers back to primary discussions in the literature, and a comprehensive index provides easy access to coverage of specific techniques.
Written by Michael D. Fetters, one of the leading scholars in the field and co-editor of the Journal of Mixed Methods…
Research, The Mixed Methods Research Workbook: Activities for Designing, Implementing, and Publishing Projects is the perfect tool for doctoral students and researchers who want support throughout their research project, as well as a practical way to apply the knowledge they’ve learned. With The Mixed Methods Research Workbook, you’ll be ready to tackle your mixed methods research project with confidence. Each chapter follows a familiar framework, starting with learning objectives for each piece of the mixed methods process. Readers have ample space in this text to write notes, fill out activities, and begin their process of actively designing and writing up a mixed methods study. This easy-to follow process gives readers an immediate structure to their projects. Exemplar boxes provide a starting framework, with the text encouraging deeper reflection on mixed methods challenges and opportunities. Stories from the field illuminate struggles and suggestions with the benefit of hindsight. Checklists at the end of each chapter help readers stay organized and key resources provide up-to-date lists of material for further study. From start to finish, readers can follow along with this text as they work on their projects. The text begins by assisting readers in identifying topics and conducting literature reviews in the context of mixed methods, zeroing in to address mixed-methods-specific challenges like integration, leveraging advantages of both qualitative and quantitative methods, and incorporating theory and personal backgrounds. Identifying data sources helps readers organize their data collection. Two chapters on research designs structure the data collection process with procedural diagrams. A unique chapter on mixed methods sampling offers application through basic and advanced designs. The book illustrates integrating and implementing mixed methods designs with practical advice for each of stage of the process. Ethics in a mixed methods context readies readers for the research protocol stage. Several chapters fully explicate the data analysis process, including developing a joint display, a state-of-the-art procedure for analysis and presentation of findings. Closing out the process, the text tackles quality and evaluation in mixed methods studies, preparing your study for publication, and writing up your article.
Facilitating Evaluation: Principles in Practice (Evaluation in Practice Series #2)
Par Michael Quinn Patton. 2018
Michael Quinn Patton’s Facilitating Evaluation: Principles in Practice is the first book of its kind to explain in depth and…
detail how to facilitate evaluation processes with stakeholders. Using the author’s own stories of his experiences as an evaluation facilitator, the book illustrates the five evaluation facilitation principles that are the organizing framework for addressing how to work with stakeholders to generate evaluation questions, make decisions among methods, interpret findings, and participate in all aspects of evaluation. Ultimately, this book will help readers perform facilitation to enhance the relevance, credibility, meaningfulness, and utility of evaluations. "A must-read for anyone considering a high-impact evaluation!" –Margaret Lombe, Boston College
Implementation Monitoring and Process Evaluation
Par Ruth P. Saunders. 2016
This practical guide helps readers understand and use the steps that program planners and evaluators take in implementing and monitoring…
a new program, policy, or practice in an organizational setting. The book covers the entire process, from planning, to carrying out the plan, and summarizing, reporting, and using the results. A wide range of real-world examples in the book are drawn from health, education, non-profit organizations, and public administration, and an extended case study, Your Turn boxes, and worksheet templates help readers apply concepts to their own projects. Ideal for practitioners, researchers, and students, this book can be used as a primary text for a process evaluation or an implementation monitoring course or as a supplemental text in a broader program evaluation course.
Video Ethnography in Practice: Planning, Shooting, and Editing for Social Analysis
Par Wesley M. Shrum, Gregory S. Scott. 2017
Video Ethnography in Practice is a brief guide for students in the social disciplines who are required to produce an…
ethnographic video, the most significant new methodological technique in 21st century social analysis. The authors, both accomplished videographers, cover the basic techniques of creating a video that documents human culture and behavior with true stories of the process of videography throughout. This text shows how new technologies like smart phones, widely available video editing software, and YouTube, have turned video ethnography into something that is within reach of students in a conventional course framework.
Introductory Statistics Using SPSS
Par Herschel Knapp. 2017
The updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process,…
and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.
Understanding and Evaluating Research: A Critical Guide
Par Sue L. McGregor. 2018
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the…
power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
Answering Questions With Statistics
Par Robert F. Szafran. 2012
Finally, an introductory statistics text that provides broad coverage, limited theory, clear explanations, plenty of practice opportunities, and examples that…
engage today′s students!Using General Social Survey data from 1980 and 2010, this textbook asks students to consider how young adults have changed over the last 30 years. Students learn to select an appropriate data analysis technique, carry out the analysis, and draw conclusions.
A friendly and approachable guide to real-world statistics, Practical Statistics for Nursing Using SPSS® covers the most common statistical functions…
in nursing science using plain language. Students learn by doing, and an emphasis on this practical approach is seen throughout the book with each chapter structured to answer key questions: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Practice exercises include a vignette, codebook, and data sets ready for processing, enabling students to achieve mastery by carrying out actual statistical analyses. Online resources for students are available and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS® processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.
Content Analysis: An Introduction to Its Methodology
Par Klaus Krippendorff. 2019
What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know? Since…
the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces readers to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry. Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer readers the most current techniques and research on content analysis, including new information on reliability and social media. Readers will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis.