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Propensity Score Methods and Applications (Quantitative Applications in the Social Sciences #178)

Par Haiyan Bai, M. H. Clark. 2019

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Essais et documents généraux
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A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to…

balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method.   Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.

Optimize Your School: It′s All About the Strategy

Par Lyle Lee Jenkins. 2016

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Lead the change that you want to see in your school! Is your school or district heading in the right…

direction? In this essential guide for leaders, Lee Jenkins shows how to unite and energize your team as never before, while helping your students to love learning and crave achievement.  A trusted advisor to numerous districts, Jenkins knows how to successfully transform school culture – for the long-term. Beginning with an introduction from scholar Michael Fullan, each chapter presents compelling insights and strategies for leaders, addressing how to Evolve your leadership style to guide, empower and serve Apply the principles of continuous strategic improvement as an antidote to win/lose approaches to school accountability Develop a healthy, positive culture of achievement by deeply engaging your students in their own progress and success Turn to this resource and prepare to lead positive change, from the classroom to the staff room and beyond. "This book creates a whole picture approach to school improvement while shunning the current top down model in favor of a school-led plan. The approach not only increases school performances, but values the school-level leadership and instructional faculty." Amanda Mayeaux, Career Management Specialist Iberville Parish Schools "If your district is ready to move from arbitrary to observable, from fractured to focused, and from silos to systems, you’ve found the book that can move entire organizations from a goal mindset to a growth mindset. Lee Jenkins provides common-sense strategies that impact the efficiency and effectiveness of our classrooms, with a clear focus on student growth. In an educational era saturated with the latest remedy for what ails us, Lee provides a refreshing cure by offering simple solutions for lasting change."  Dr. Jane Stavem, Associate Superintendent for Instruction Lincoln Public Schools, Lincoln, NE

Research Basics: Design to Data Analysis in Six Steps

Par James V. Spickard. 2017

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Essais et documents généraux, Psychologie
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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.

Critical Ethnography: Method, Ethics, and Performance

Par D. Soyini Madison. 2020

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"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.

Content Analysis: An Introduction to Its Methodology

Par Klaus Krippendorff. 2019

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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. 

Conducting Health Research: Principles, Process, and Methods

Par Frederick J. Kviz. 2020

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Conducting Health Research: Principles, Process, and Methods presents an integrated and practical introduction to the principles and strategies for planning,…

implementing, reporting, and assessing health sciences research. Comprehensive in its breadth and depth, with an accessible writing style, this text prepares students in public health and related fields to be adept researchers and consumers of health research. Through real-world examples and step-by-step guidance, Frederick J. Kviz provides students with the skills they need to: identify and evaluate research strengths and limitations as practitioners; to actually perform the various core aspects of research; and to choose among alternative methods when making decisions about health practice, policy, and future research needs.

Qualitative Dissertation Methodology: A Guide for Research Design and Methods

Par Nathan Richard Durdella. 2019

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Essais et documents généraux, Médecine, Psychologie
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Designing and writing a qualitative dissertation methodology chapter can be done! Qualitative Dissertation Methodology: A Guide for Research Design and…

Methods functions as a dissertation advisor to help students construct and write a qualitative methodological framework for their research. Drawing from the challenges author Nathan Durdella has experienced while supervising students, the book breaks down producing the dissertation chapter into smaller pieces and goes through each portion of the methodology process step by step. With a warm and supportive tone, he walks students through the process from the very start, from choosing chairs and developing qualitative support networks to outlining the qualitative chapter and delving into the writing. By the end of the book, students will have completed the most challenging chapter of a qualitative dissertation and laid a strong foundation for the rest of their dissertation work. Corresponding videos featuring the author help concepts come alive for your students.

Logistic Regression: A Primer (Quantitative Applications in the Social Sciences #132)

Par Fred C. Pampel. 2021

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This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition…

presents results from several statistical packages to help interpret the meaning of logistic regression coefficients, presents more detail on variations in logistic regression for multicategory outcomes, and describes some potential problems in interpreting logistic regression coefficients. A companion website includes the three data sets and Stata, SPSS, and R commands needed to reproduce all the tables and figures in the book. Finally, the Appendix reviews the meaning of logarithms, and helps readers understand the use of logarithms in logistic regression as well as in other types of models.

100 Questions (SAGE 100 Questions and Answers)

Par Lisa M. Given. 2016

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Exploring 100 key questions (and answers) on the nature and practice of qualitative inquiry, this unique book addresses the practical…

decisions that researchers must make in their work, from the design of the study, through ethics approval, implementation, and writing. The book’s quick-scan, question-and-answer format make it ideal as a supplementary text or as a ready reference for graduate students preparing for comprehensive exams and writing research proposals, undergraduates in affiliated programs who will not be taking a primary course in qualitative research methods, and researchers working across disciplines in academic or practice environments.

Economic Evaluation in Education: Cost-Effectiveness and Benefit-Cost Analysis

Par Henry M. Levin, Patrick J. McEwan, Clive R. Belfield, A. Brooks Bowden, Robert D. Shand. 2018

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The past decade has seen increased attention to cost-effectiveness and benefit-cost analysis in education as administrators are being asked to…

accomplish more with the same or even fewer resources, philanthropists are keen to calculate their "return on investment" in social programs, and the general public is increasingly scrutinizing how resources are allocated to schools and colleges.   This text (titled Cost-Effectiveness Analysis in its previous editions) is the only full-length book to provide readers with the step-by-step methods they need to plan and implement a benefit-cost analysis in education. The authors examine a range of issues, including how to identify, measure, and distribute costs; how to measure effectiveness, utility, and benefits; and how to incorporate cost evaluations into the decision-making process. The updates to the Third Edition reflect the considerable methodological development in the evaluation literature, and the greater empiricism practiced by education researchers, to help readers learn to apply more advanced methods to their own analyses. SAGE congratulates author Henry M. Levin, winner of the 2017 AERA Distinguished Contributions to Research in Education Award.

10-Step Evaluation for Training and Performance Improvement

Par Seung Youn Chyung. 2019

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Written with a learning-by-doing approach in mind, 10-Step Evaluation for Training and Performance Improvement gives students actionable instruction for identifying,…

planning, and implementing a client-based program evaluation. The book introduces readers to multiple evaluation frameworks and uses problem-based learning to guide them through a 10-step evaluation process. As students read the chapters, they produce specific deliverables that culminate in a completed evaluation project.

A Guide to Qualitative Field Research

Par Carol R. Bailey. 2018

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A Guide to Qualitative Field Research provides readers with clear, practical, and specific instructions for conducting qualitative research in the…

field. In the expanded Third Edition, Carol A. Bailey gives increased attention to the early and last stages of field research, often the most difficult: selecting a topic, deciding upon the purpose of your research, and writing the final paper, all in her signature reader-friendly writing style. This edition features research examples from graduate and undergraduate students to make examples meaningful to fellow students; a new "Putting It All Together" feature, with examples of how different parts of the research process interact; and more emphasis on the "nuts and bolts" of research, such as what to include in an informed consent form, a proposal, and the final paper.

Spatial Regression Models: Spatial Regression Models (Quantitative Applications in the Social Sciences #155)

Par Kristian Skrede Gleditsch, Michael D. Ward. 2019

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Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible…

to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including mapping data on spatial units, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures.  Using social science examples based on real data, the authors illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.

Statistics: A Gentle Introduction

Par Frederick L. Coolidge. 2021

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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.

Monitoring and Evaluation Training: A Systematic Approach

Par J. Bradley Cousins, Scott G. Chaplowe. 2016

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This one-of-a-kind book fills a gap in the literature by providing readers with a systematic approach to monitoring and evaluation…

(M&E) training for programs and projects. Bridging theoretical concepts with practical, how-to knowledge, authors Scott Chaplowe and J. Bradley Cousins draw upon the scholarly literature, applied resources, and over 50 years of combined experience to provide expert guidance that can be tailored to different M&E training needs and contexts, including those for novices, professionals, organizations and their staff, community members, and other groups with a desire to learn and sustain sound M&E practices.

A Crash Course in Statistics

Par Ryan J. Winter. 2018

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Psychologie, Essais et documents généraux
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A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA,…

the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style. Each chapter ends with a self-quiz so that readers can assess their understanding of each statistical concept. This "crash course" supplement is a must-have statistics refresher for students taking research methods classes; a handy additional reference for introductory statistics students; and a guide for anyone who needs to be a consumer of statistics.

Mixed Methods Design in Evaluation (Evaluation in Practice Series #1)

Par Donna M. Mertens. 2018

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In this groundbreaking first volume of SAGE′s Evaluation in Practice Series, best-selling author Donna M. Mertens explores the meaning of…

mixed methods evaluation, its evolution over the last few decades, and the dominant philosophical frameworks that are influencing thought and practice in the field today. Four chapters explore evaluation of the effectiveness of interventions, development of instruments, systematic reviews, and policy evaluations, while an additional chapter covers evaluation approaches often required in specific contexts including gender responsive evaluations, needs assessment, and evaluations in conflict zones. Practical in nature, the book guides readers’ thinking about the design of mixed methods evaluations through the use of illustrative examples and explanations for further applications. SAGE’s Evaluation in Practice Series offers concise, practical books for students and professionals working as evaluators.

Critical Ethnography: Method, Ethics, and Performance

Par D. Soyini Madison. 2020

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"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 (Quantitative Applications in the Social Sciences #176)

Par E. C. Hedberg. 2018

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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

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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.

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