sas essentials a guide to mastering sas for research research methods for the social sciences

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Sas Essentials

Author : Alan C. Elliott
ISBN : 0470552646
Genre : Education
File Size : 85. 89 MB
Format : PDF
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SAS Essentials provides an introduction to SAS statistical software, the premiere statistical data analysis tool for scientific research. Through its straightforward approach, the text presents SAS with step-by-step examples. With over fifteen years of teaching SAS courses and over fifty combined years of teaching and consulting by the authors, this valuable reference presents data manipulation and statistical techniques, including a website with examples. This textbook is essential for teachers because the chapters are self-contained and may be used accordingly to the teacher?s preference, whether for a one-semester or two-semesters course.

Essentials Of Research Methods

Author : Janet M. Ruane
ISBN : 0631230491
Genre : Social Science
File Size : 72. 44 MB
Format : PDF
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This is a text for introductory research methods courses, as required in several social science majors. Students taking this course are often resistant to the subject matter, and this text tackles this resistance by focusing the reader on experiences in their everyday lives.

The Statistical Sleuth A Course In Methods Of Data Analysis

Author : Fred Ramsey
ISBN : 9781133490678
Genre : Mathematics
File Size : 31. 97 MB
Format : PDF
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THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Research Methods

Author : Bob Matthews
ISBN : 1405858508
Genre : Research
File Size : 47. 64 MB
Format : PDF, ePub
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This text provides an essential resource for the social researcher. It offers a comprehensive introduction for first time researchers right through to thorough and practical advice for those undertaking more advanced work.

Introduction To Data Science For Social And Policy Research

Author : Jose Manuel Magallanes Reyes
ISBN : 9781107117419
Genre : Social Science
File Size : 62. 23 MB
Format : PDF, ePub, Mobi
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Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.

Introducing Survival And Event History Analysis

Author : Melinda Mills
ISBN : 9781848601024
Genre : Social Science
File Size : 82. 20 MB
Format : PDF, Mobi
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This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

Strategies In Biomedical Data Science

Author : Jay A. Etchings
ISBN : 9781119256182
Genre : Medical
File Size : 43. 19 MB
Format : PDF, ePub, Docs
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An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

The Essential Guide To Doing Your Research Project

Author : Zina O'Leary
ISBN : 9781526413055
Genre : Social Science
File Size : 64. 47 MB
Format : PDF, ePub
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The ultimate companion to successfully completing your research project, the author guides you through a step-by-step approach to research and provides all of the skills and momentum you need to excel. Each stage of a project is clearly set out with best practice highlighted alongside pragmatic advice for tackling research in the real world. The Third Edition uses multidisciplinary case studies, and examples from the author’s own experience, to answer your questions and support your progress as you move smoothly through each stage. With a new chapter on mixed methods approaches, more on disseminating research, more on the practical and legal implications of ethics and more international examples, the book is packed full of learning features and tools to support your journey, including: A fully-developed website with podcasts, videos, journal articles and examples of real projects Activities and worksheets to help you organize your time Learning objectives to sustain your momentum Top tips relating to key research skills Full glossary to test understanding and provide definitions Annotated further reading to help you move through the literature ‘Excuse me, I have a question!’ feature to answer common questions. Warm, innovative and clever, this book is packed full of must-have information for anyone doing a research project.

Text Mining And Analysis

Author : Dr. Goutam Chakraborty
ISBN : 9781612907871
Genre : Mathematics
File Size : 27. 72 MB
Format : PDF
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Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.

Qualitative Research

Author : Sharon M. Ravitch
ISBN : 9781483351759
Genre : Education
File Size : 36. 22 MB
Format : PDF, Kindle
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Focused on developing the conceptual, theoretical, and methodological knowledge needed to engage in rigorous and valid research, this introductory text provides practical explanations, exercises, and advice for how to conduct qualitative research—from design through implementation, analysis, and writing up research. Qualitative Research presents the field in a unique and meaningful way, and helps readers understand what authors Sharon M. Ravitch and Nicole Mittenfelner Carl call “criticality” in qualitative research by communicating its foundations and processes with clarity and simplicity while still capturing complexity. Packed with real-life examples of questions, issues, and situations that stem from the authors’ and their students’ research, the book humanizes the qualitative research endeavor, illustrates the types of scenarios that arise, and emphasizes the importance of actively considering paradigmatic values throughout every stage of the research process. In every chapter, the authors illustrate the qualitative research process as decidedly ideological, political, and subjective using themes of criticality, reflexivity, collaboration, and rigor.

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