Statistics and Data Analysis for Social Workers PDF Download
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Author: John L. Craft
Publisher: Brooks Cole
ISBN:
Category : Education
Languages : en
Pages : 216
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Book Description
This introductory text clearly presents information on the analysis and interpretation of data generated by social workers in practice. It covers the nature of data, measures of variability, crosstabulation analysis, correlational methods, hypothesis testing, and multiple regression. Pertinent social work examples are used throughout.
Author: Denise Montcalm
Publisher: Addison-Wesley Longman
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 340
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Book Description
This user-friendly text is designed specifically for social work students who are intimidated by the prospect of taking a Statistics course. With its engaging, conversational writing style and numerous examples and problems, social work students will quickly learn to understand and interpret both quantitative and qualitative data. The text's flexibility makes it suitable for a variety of teaching styles. Instructors who want their students to get the actual "feel" of computing a chi square can use the "Formula Alerts" to calculate certain statistics manually; other instructors may want students to use the step-by-step computer applications to produce the same results.
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: Thanh V. Tran
Publisher: Cognella Academic Publishing
ISBN: 9781626613331
Category : Social service
Languages : en
Pages : 288
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Book Description
Author: Thomas P. Vartanian
Publisher: Oxford University Press
ISBN: 019538881X
Category : Language Arts & Disciplines
Languages : en
Pages : 225
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Book Description
This slim volume is one of a number of excellent guides published as part of Oxford's "Pocket Guide to Social Work Research Methods" series. Compact but comprehensive, it provides a thorough introduction to one of the fastest-growing genres of research in the social work field today: secondary data analysis. After an all-too-brief summary of what constitutes this genre and a balanced analysis of its advantages and disadvantages, Vartanian (Bryn Mawr) provides guidelines for those considering the feasibility and appropriateness of using secondary data in their work. He then offers extensive summaries of 29 of the most commonly used secondary data sets. For all of the data sets, he provides a full and complete description, including key characteristics and where and how to access them. He also provides, most valuably, citations to examples of how researchers have recently used them in their empirical work. Rather redundantly, a similar package of information appears in appendixes at the end of the book. This is an admirable contribution whose only detractions are the rather random and poorly identified screenshots and other "pictures" interspersed throughout the text. Those seriously considering using secondary data analysis in their research should find this book immensely beneficial. Summing Up: Highly recommended. Graduate students and faculty/researchers. Graduate Students; Researchers/Faculty. Reviewed by J. C. Altman.
Author: Heather D'Cruz
Publisher: SAGE
ISBN: 1412931800
Category : Social Science
Languages : en
Pages : 203
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Book Description
`This is a very useful introductory text...it is well structured, has a very accessible style, and guides students through exercises that are relevant and appropriate. The book is unique in that it goes beyond general textbooks and I will be very happy to recommend it to my students' - Beth Humphries, Reader in Social Work, Lancaster University The role of research in social work has become increasingly critical and relevant to training and practice. Social Work Research has been designed to address this and to demonstrate the importance of research for improving social work practice. Written in an engaging and accessible style, the book explains the links between practice, knowledge and research. It succeeds in bridging the gap between theory and reality by discussing a range of research paradigms and placing them in the context of professional social work. It also goes beyond other textbooks to discuss the political and ethical contexts that are intrinsic to social work practice. Other key features of the book include: · Fulfills QAA benchmarks in social work training - social work research is a required topic on undergraduate degrees. · Addresses topical issues such as the need for evidence-based practice and an awareness of ethics. · International in scope - draws upon international literature · Grounded in 'real-life' research through case studies · User-friendly and student-focused, it includes student exercises and further reading sections. Social Work Research will prove an invaluable resource for students, researchers and trainees undertaking research in social work.
Author: Amy Batchelor
Publisher: Columbia University Press
ISBN: 0231550227
Category : Social Science
Languages : en
Pages : 143
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Book Description
Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
Author: James A. Rosenthal, PhD
Publisher: Springer Publishing Company
ISBN: 0826107214
Category : Social Science
Languages : en
Pages : 490
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Book Description
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank
Author: Alan Bryman
Publisher: Taylor & Francis
ISBN: 9780415026659
Category : Analyse de variance
Languages : en
Pages : 290
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Book Description
Author: John L. Craft
Publisher: Brooks Cole
ISBN:
Category : Education
Languages : en
Pages : 216
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Book Description
This introductory text clearly presents information on the analysis and interpretation of data generated by social workers in practice. It covers the nature of data, measures of variability, crosstabulation analysis, correlational methods, hypothesis testing, and multiple regression. Pertinent social work examples are used throughout.
Author: Rafael J. Engel
Publisher: SAGE Publications
ISBN: 1506304257
Category : Social Science
Languages : en
Pages : 497
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Book Description
The Fourth Edition of Rafael J. Engel and Russell K. Schutt’s The Practice of Research in Social Work introduces an integrated set of techniques for evaluating research and practice problems as well as conducting studies. Evidence-based practice comes alive through illustrations of actual social work research. Updated with new examples, the latest research, and expanded material on technology and qualitative methods, this popular text helps readers achieve the 2015 EPAS core competencies essential for social work practice.
