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Author: William Nugent
Publisher: Oxford University Press
ISBN: 0195369629
Category : Social Science
Languages : en
Pages : 184
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Book Description
Single system, or single case, design studies are a convenient method for evaluating practice, allowing professionals to track clients' response to treatment and change over time. They also allow researchers to gather data where it might be difficult to conduct a study involving treatment and control groups; in a school setting, or a community mental health agency, for example, random assignment may be impossible, whereas individual student or client progress across time can be more easily monitored.This pocket guide reviews a wide range of techniques for analyzing single system design data, including visual analysis methods, graphical methods, and statistical methods. From basic visual observation to complex ARIMA statistical models for use with interrupted time series designs, numerous data analysis methods are described and illustrated in this unique and handy book. The author frankly describes limitations and strengths of the data analysis methods so that readers can select an appropriate method and use the results responsibly in order to improve practice and client well-being.This accessible yet in-depth introduction will serve as a highly practical resource for doctoral students and researchers alike.
Author: William Nugent
Publisher: Oxford University Press
ISBN: 0195369629
Category : Social Science
Languages : en
Pages : 184
Get Book Here
Book Description
Single system, or single case, design studies are a convenient method for evaluating practice, allowing professionals to track clients' response to treatment and change over time. They also allow researchers to gather data where it might be difficult to conduct a study involving treatment and control groups; in a school setting, or a community mental health agency, for example, random assignment may be impossible, whereas individual student or client progress across time can be more easily monitored.This pocket guide reviews a wide range of techniques for analyzing single system design data, including visual analysis methods, graphical methods, and statistical methods. From basic visual observation to complex ARIMA statistical models for use with interrupted time series designs, numerous data analysis methods are described and illustrated in this unique and handy book. The author frankly describes limitations and strengths of the data analysis methods so that readers can select an appropriate method and use the results responsibly in order to improve practice and client well-being.This accessible yet in-depth introduction will serve as a highly practical resource for doctoral students and researchers alike.
Author: Thomas R. Kratochwill
Publisher: Routledge
ISBN: 1317535650
Category : Psychology
Languages : en
Pages : 247
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Book Description
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Author: Richard Gonzalez
Publisher: Guilford Press
ISBN: 1606230174
Category : Psychology
Languages : en
Pages : 458
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Book Description
This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless "exceptions to the rule" that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses. Useful pedagogical features include: Discussions of the assumptions that underlie each statistical test Sequential, step-by-step presentations of statistical procedures End-of-chapter questions and exercises Accessible writing style with scenarios and examples This book is intended for graduate students in psychology and education, practicing researchers seeking a readable refresher on analysis of experimental designs, and advanced undergraduates preparing senior theses. It serves as a text for graduate level experimental design, data analysis, and experimental methods courses taught in departments of psychology and education. It is also useful as a supplemental text for advanced undergraduate honors courses.
Author: John Poulin, PhD, MSW
Publisher: Springer Publishing Company
ISBN: 0826178537
Category : Social Science
Languages : en
Pages : 481
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Book Description
This primary social work practice text, built around the nine core 2015 CSWE competencies, is the only book available that provides students with the benefits of a fully integrated competency-based approach. Social Work Practice: A Competency-Based Approach immediately immerses students in the competencies required for social work practice at the micro, mezzo and macro levels. Designed for use in both upper level BSW and foundation level MSW social work practice courses, the book is uniquely structured to deliver the knowledge and skills students need to develop mastery of the professional social work competencies. Chapters provide a comprehensive overview of the theories, concepts, and practice components related to each competency. Engaging vignettes, chapter objectives that outline key concepts, abundant case examples, critical-thinking questions, and a detailed case summary with discussion questions in each chapter, help students deepen their understanding of practical applications of the nine core competencies. Each chapter uses the same case to perfectly illustrate the complexity of social work practice and the interconnections among the professional competencies. A robust supplementary instructor package includes PowerPoints, competency-based class assignments with grading rubrics, and sample syllabi. Print version of book includes free, searchable, digital access to entire contents. Key Features: Uniquely organized with a fully integrated competency-based approach Devotes one or more chapters to each of the nine CSWE professional competencies Delivers abundant case studies that facilitate in-depth understanding and integration of competencies Provides case vignettes, critical thinking and discussion questions, and chapter summaries Includes supplementary instructor resources such as PowerPoints, group discussion questions, and competency-based written assignments with grading rubrics Offers sample syllabi for two separate one-semester courses and a seven-week online course Includes Student Resources, featuring online forms, templates, exercises, plans, and more to provide students with ample practice opportunities
Author: Timothy P. Hilton, PhD, MSW
Publisher: Springer Publishing Company
ISBN: 0826163564
Category : Social Science
Languages : en
Pages : 527
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Book Description
Praise for earlier editions: I have been using this textbook as a required reading for my research class since 2004 because I found the text’s coverage of research concepts to be in-depth, and easy to read without the technicalities. —Ziblim Abukari, PhD, MSW, Assistant Professor, Department of Social Work, Westfield State University Applied Social Research. . . is thorough, well organized, and clear, making it highly appreciated by my students. —Barry Loneck, PhD, School of Social Welfare, SUNY Albany Discover the practical side of research in human services with this easy-to-follow classic Designed for students and professionals in social work, public administration, nursing, criminal justice, and other human services fields, this text breaks down complex concepts into accessible, real-world applications. Follow along with easy-to-read language and engaging examples to uncover nonintimidating, practical tools for everyday problem-solving. Several new features, such as recorded practitioner interviews and Technology in Research boxes, clarify and reinforce the value of applied social research and innovative tools real professionals use in their work. This textbook takes readers on a journey through the entire research process, from identifying problems to collecting and analyzing data, and finally, to effectively communicating your findings. Each chapter closes with critical thinking and self-assessment questions to help evaluate students’ understanding of the Council on Social Work Education’s (CSWE) 2022 Educational Policy and Accreditation Standards (EPAS), promoting in-depth learning. Instructors will also welcome a wide array of instructor resources, including a new Instructor Manual, Sample Syllabi, Test Bank, and chapter PowerPoint presentations. New to the Eleventh Edition: Every chapter opens with an extended vignette highlighting how professionals incorporate research methods into their work. New Practitioner Profiles provide real-world insights into human services, and podcast segments with recorded interviews are included with every chapter. Chapters now include Technology in Research and Research in Practice boxes, helping readers understand the research practice and technological innovations. The new Instructor Manual includes additional discussion questions relating to the podcasts, learning activities to help students evaluate competencies, and more. Key Features: Clear explanations of the research process, from problem-solving to data analysis, simplifies learning. Explore real-life stories via practitioner interviews and vignettes in every chapter. All chapters close with bulleted main points, key terms for review, and several types of questions for evaluating competencies and self-assessment. Understand the link between research and improved services and develop logic-based research skills.
Author: John Poulin, PhD, MSW
Publisher: Springer Publishing Company
ISBN: 082618636X
Category : Social Science
Languages : en
Pages : 285
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Book Description
The only practical guide for helping social work students create high-quality applied capstone research projects from start to finish This “mentor-in-a-book” provides social work students with invaluable information on designing, implementing, and presenting first-rate applied research projects focused on improving social work programs and services. Taking students step-by-step through the entire process, the book helps students plan their projects by providing descriptions of the various research methodologies that can be used to improve social work programs and services. It offers extensive instruction on how to write effectively by providing detailed information on all written components of capstone research projects, as well as the dos and don’ts of writing research reports. Covering data collection methods, program evaluation, organization and community needs assessments, practice-effectiveness studies, and quantitative and qualitative data analysis, this brand-new book also addresses best practices for presenting findings upon completion of the applied research project. Additional features include abundant case examples demonstrating the application of theory to practice and an examination of both qualitative and quantitative research approaches, while also helping students demonstrate social work practice competencies within their capstone projects. Practice activities in each chapter help students apply knowledge to their research projects; and technology exercises help students master important digital research techniques. A capstone project checklist and competency log help students monitor progress, and QR codes provide supplementary support and resources. Additional faculty resources include competency rubrics, detailed group exercises for each chapter, and a sample syllabus for faculty. Purchase of the book includes digital access for use on most mobile devices or computers. Key Features: Delivers step-by-step information on creating high-quality social work capstone projects from conception through presentation Includes a detailed summary of the major applied research approaches to improving social work programs and services Explains how to research literature and write a problem statement on a social service issue Contains extensive information on how to write effective capstone research papers along with abundant examples Helps students to demonstrate social work practice competencies Offers case examples throughout to demonstrate the application of theory to practice Presents practice activities and technology exercises in each chapter Provides a capstone project checklist and competency log Includes QR codes providing additional resources for each chapter
Author: Thanh V. Tran
Publisher: Oxford University Press
ISBN: 0190888512
Category : Political Science
Languages : en
Pages : 313
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Book Description
Applied Cross-Cultural Data Analysis for Social Work offers practical guides for data analysis in cross-cultural research. It shows how social workers can employ commonly-used statistical approaches to make meaningful comparisons in health, mental health, social and psychological phenomena across cultural groups. The book can also be used as a textbook for advanced research course in social work and allied fields and would benefit graduate students, faculty, and researchers.
Author: Carl F. Siebert
Publisher: Oxford University Press
ISBN: 0199391505
Category : Social Science
Languages : en
Pages : 241
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Book Description
In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique in these situations. Researchers can easily find what they need, matching their situation to the case-based scenarios that illustrate the many uses of nonparametric strategies. Unlike most statistics books, this text is written in straightforward language (thereby making it accessible for nonstatisticians) while providing useful information for those already familiar with nonparametric tests. Screenshots of the software and output allow readers to follow along with each step of an analysis. Assumptions for each of the tests, typical situations in which to use each test, and descriptions of how to explain the findings in both statistical and everyday language are all included for each nonparametric strategy. Additionally, a useful companion website provides SPSS syntax for each test, along with the data set used for the scenarios in the book. Researchers can use the data set, following the steps in the book, to practice each technique before using it with their own data. Ultimately, the many helpful features of this book make it an ideal long-term reference for researchers to keep in their personal libraries.
Author: Charles S. Reichardt
Publisher: Guilford Publications
ISBN: 1462540244
Category : Social Science
Languages : en
Pages : 382
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Book Description
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest–posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice. Modern methods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility. Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.
Author: Llewellyn Joseph Cornelius
Publisher: Oxford University Press, USA
ISBN: 0199739307
Category : Political Science
Languages : en
Pages : 241
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Book Description
This book provides a framework of researchers to both engage in social justice research as well as to evolve as social justice practioners. -- back cover.
