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SAS Essentials

SAS Essentials Author Alan C. Elliott
ISBN-10 0470552646
Release 2010-01-21
Pages 350
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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

Essentials of Research Methods Author Janet M. Ruane
ISBN-10 0631230491
Release 2005
Pages 239
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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

The Statistical Sleuth  A Course in Methods of Data Analysis Author Fred Ramsey
ISBN-10 9781133490678
Release 2012-05-02
Pages 784
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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

Research Methods Author Bob Matthews
ISBN-10 1405858508
Release 2010
Pages 490
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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

Introduction to Data Science for Social and Policy Research Author Jose Manuel Magallanes Reyes
ISBN-10 9781107117419
Release 2017-09-21
Pages 250
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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

Introducing Survival and Event History Analysis Author Melinda Mills
ISBN-10 9781848601024
Release 2011-01-19
Pages 279
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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.



Analytics in a Big Data World

Analytics in a Big Data World Author Bart Baesens
ISBN-10 9781118892749
Release 2014-04-15
Pages 256
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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.



Strategies in Biomedical Data Science

Strategies in Biomedical Data Science Author Jay A. Etchings
ISBN-10 9781119256182
Release 2017-01-03
Pages 464
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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.



Text Mining and Analysis

Text Mining and Analysis Author Dr. Goutam Chakraborty
ISBN-10 9781612907871
Release 2014-11-22
Pages 340
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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.



Social Science Research

Social Science Research Author Anol Bhattacherjee
ISBN-10 1475146124
Release 2012-04-01
Pages 156
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This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.



SAS2 Social Analysis Systems

SAS2 Social Analysis Systems Author Jacques M Chevalier
ISBN-10 9788178298900
Release 2008-11-11
Pages 315
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SAS2 Social Analysis Systems offers a new approach to creating and using knowledge for the common good. Its purpose is to broaden and deepen the range of concepts, tools, and transferable skills to support dialogue and democratic engagement in the sphere of knowledge. The materials presented in the guide support a shift towards flexibly-structured processes to engage people in inquiry sustained by experience, adapted to context, and responsive to important needs. This approach bridges the gap between conventional inquiry based on ‘hard evidence’ and participatory methods that emphasize ‘building consensus’ at any cost.



The Essential Guide to Doing Your Research Project

The Essential Guide to Doing Your Research Project Author Zina O'Leary
ISBN-10 9781526413055
Release 2017-03-20
Pages 415
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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.



Big Data Analytics with SAS

Big Data Analytics with SAS Author David Pope
ISBN-10 9781788294317
Release 2017-11-23
Pages 266
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Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.



Qualitative Research

Qualitative Research Author Sharon M. Ravitch
ISBN-10 9781483351759
Release 2015-08-28
Pages 600
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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.



Research Methodology A Guide for Researchers In Agricultural Science Social Science and Other Related Fields

Research Methodology  A Guide for Researchers In Agricultural Science  Social Science and Other Related Fields Author Pradip Kumar Sahu
ISBN-10 9788132210207
Release 2013-04-04
Pages 432
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This book is the outcome of more than 20 years of experience of the author in teaching and research field. The wider scope and coverage of the book will help not only the students/ researchers/professionals in the field of agriculture and allied disciplines, but also the researchers and practitioners in other fields. Written in simple and lucid language, the book would appeal to all those who are meant to be benefitted out of it. All efforts have been made to present "RESEARCH", its meaning, intention and usefulness. The book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant worked out examples. Designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with real-life examples, making the otherwise complicated subject like statistics seem simpler. Attempts have been made to demonstrate how a user can solve the problems using simple computer-oriented programme. Emphasis is placed not only on solving the problems in various fields but also on drawing inferences from the problems. The importance of instruments and computers in research processes and statistical analyses along with their misuse/incorrect use is also discussed to make the user aware about the correct use of specific technique. In all the chapters, theories are combined with examples, and steps are enumerated to follow the correct use of the available packages like MSEXCELL, SPSS, SPAR1, SAS etc. Utmost care has been taken to present varied range of research problems along with their solutions in agriculture and allied fields which would be of immense use to readers.



Research Methods

Research Methods Author Bob Matthews
ISBN-10 9781408226186
Release 2014-09-08
Pages 520
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Research Methods: A Practical Guide for the Social Sciences is 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. The book draws on real life experiences from a wide variety of disciplines to show how theory translates into practice, and offers a rigorous analysis of why researchers choose the methods they use. Think about it boxes throughout the text offer questions and ideas to help the researcher to focus on core issues and practical considerations, whilst your research summaries present questions, activities and checklists to help the researcher to develop their ideas. The book is supported by a fantastic companion website that contains learning materials, interactive exercises, videos, questionnaires, datasets and much more. The website can be found at: www.pearsoned.co.uk/matthews Written to reflect the breadth of the social sciences, Research Methods is essential for anyone conducting research in sociology, health policy, social work, criminology, social policy, cultural studies, political studies, public policy and related fields.



Biostatistics by Example Using SAS Studio

Biostatistics by Example Using SAS Studio Author Ron Cody
ISBN-10 9781629604930
Release 2016-09-22
Pages 262
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Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks. Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition. After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. You will also be able to use SAS Studio statistics tasks to generate descriptive statistics for continuous and categorical data. The inferential statistics portion of the book covers the following topics: paired and unpaired t tests one-way analysis of variance N-way ANOVA correlation simple and multiple regression logistic regression categorical data analysis power and sample size calculations Besides describing each of these statistical tests, the book also discusses the assumptions that need to be met before running and interpreting these tests. For two-sample tests and N-way tests, nonparametric tests are also described. This book leads you step-by-step through each of the statistical tests with numerous screen shots, and you will see how to read and interpret all of the output generated by these tests. Experience with some basic statistical tests used to analyze medical data or classroom experience in biostatistics or statistics is required. Although the examples are related to the medical and biology fields, researchers in other fields such as psychology or education will find this book helpful. No programming experience is required. Loading data files into SAS University Edition? Click here for more information.