SAS Programming for Researchers and Social Scientists

SAS Programming for Researchers and Social Scientists

Author: Paul E. Spector

Publisher: SAGE

Published: 2001-04-20

Total Pages: 252

ISBN-13: 9780761922681

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Second Edition SAS® PROGRAMMING FOR RESEARCHERS AND SOCIAL SCIENTISTS By PAUL E. SPECTOR, University of South Florida University of South Florida "Just what the novice SAS programmer needs, particularly those who have no real programming experience. For example, branching is one of the more difficult programming commands for students to implement and the author does an excellent job of explaining this topic clearly and at a basic level. A big plus is the Common Errors section since students will definitely encounter errors." a?Robert Pavur, Management Science, University of North Texas The book that won accolades from thousands has been completely revised! Taking a problem solving approach that focuses on common programming tasks that social scientists encounter in doing data analysis, Spector uses sample programs and examples from social science problems to show readers how to write orderly programs and avoid excessive and disorganized branching. He provides readers with a three-step approach (preplanning, writing the program, and debugging) and tips about helpful features and practices as well as how to avoid certain pitfalls. "Spector has done an excellent job in explaining a somewhat difficult topic in a clear and concise manner. I like the fact that screen captures are included. It allows students to better follow what is being described in the book in relation to what is on the screen." a?Philip Craiger, Computer Science, University of Nebraska, Omaha ThisA bookA provides readers with even more practical tips and advice. New features in this edition include: *New sections on debugging in each chapter that provide advice about common errors *End of chapter Debugging Exercises that offer readers the chance to practice spotting the errors in the sample programs *New section in Chapter 1 on how to use the interface, including how to work with three separate windows, where to write the program, executing the program, managing the program files, and using the F key *Five new appendices, including a Glossary of Programming Terms, A Summary of SAS Language Statements, A Summary of SAS PROCs, Information Sources for SAS PROCs, and Corrections for the Debugging Exercises *Plus, a link to Spector's online SAS course! Appropriate for readers with little or no knowledge of the SAS language, this book will enable readers to run each example, adapt the examples to real problems that the reader may have, and create a program. "A solid introduction to programming in SAS, with a good, brief explanation of how that process differs from the usual point-and-click of Windows-based software such as SPSS and a spreadsheet. Even uninformed students can use it as a guide to creating SAS datasets, manipulating them, and writing programs in the SAS language that will produce all manner of statistical results." a?James P. Whittenburg, History, College of William & Mary A "Bridges the gap between programming syntax and programming applications. In contrast to other books on SAS programming, this book combines a clear explanation of the SAS language with a problem-solving approach to writing a SAS program. It provides the novice programmer with a useful and meaningful model for solving the types of programming problems encountered by re


SAS[R in circle] Programming for Researchers and Social Scientists

SAS[R in circle] Programming for Researchers and Social Scientists

Author: Paul E. Spector

Publisher: SAGE Publications, Incorporated

Published: 1993-04-05

Total Pages: 179

ISBN-13: 9780803949843

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Taking a problem-solving approach that focuses on common programming tasks encountered during data analysis, Spector uses examples and sample programs to introduce various SAS[small R in a circle] programming concepts in the context of social science problems. Basic programming concepts such as loops, arrays, counters, branching, inputting and outputting, as well as the principles of structured programming, are introduced in a logical sequence so that the reader can write programs that are orderly and that avoid excessive and disorganized branching. Throughout, Spector offers readers a three-step approach (preplanning, writing the program and debugging), tips about helpful features and practices to use, as well as advice on


Programming with Python for Social Scientists

Programming with Python for Social Scientists

Author: Phillip D. Brooker

Publisher: SAGE

Published: 2019-12-09

Total Pages: 370

ISBN-13: 1526486342

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As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.


Social Science Research

Social Science Research

Author: Anol Bhattacherjee

Publisher: CreateSpace

Published: 2012-04-01

Total Pages: 156

ISBN-13: 9781475146127

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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.


Big Data and Social Science

Big Data and Social Science

Author: Ian Foster

Publisher: CRC Press

Published: 2016-08-10

Total Pages: 493

ISBN-13: 1498751431

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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.


SAS for R Users

SAS for R Users

Author: Ajay Ohri

Publisher: John Wiley & Sons

Published: 2019-09-24

Total Pages: 210

ISBN-13: 1119256410

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BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS. Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This up-to-date guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book: Instructs both practitioners and students fluent in one language seeking to learn the other Provides command-by-command translations of R to SAS and SAS to R Offers examples and applications in both R and SAS Presents step-by-step guidance on workflows, color illustrations, sample code, chapter quizzes, and more Includes sections on advanced methods and applications Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics.


Learning SAS by Example

Learning SAS by Example

Author: Ron Cody

Publisher: SAS Institute

Published: 2018-07-03

Total Pages: 553

ISBN-13: 1635266564

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Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.


Job Satisfaction

Job Satisfaction

Author: Paul E. Spector

Publisher: Routledge

Published: 2022-02-27

Total Pages: 142

ISBN-13: 1000539342

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Distilling the vast literature on this most frequently studied variable in organizational behavior, Paul E. Spector provides students and professionals with a pithy overview of the research and application of job satisfaction. In addition to discussing the nature of and techniques for assessing job satisfaction, this text summarizes the findings regarding how people feel toward work, including cultural and gender differences in job satisfaction, personal and organizational antecedents, potential consequences, and interventions to improve job satisfaction. Students, researchers, and practitioners will particularly appreciate the extensive list of references and the Job Satisfaction Survey included in the Appendix. This book includes the latest research and new topics including the business case for job satisfaction, customer service, disabled workers, leadership, mental health, organizational climate, virtual work, and work-family issues. Further, paulspector.com features an ongoing series of blog articles, links to assessments mentioned in the book, and other resources on job satisfaction to coincide with this text. This book is ideal for professionals, researchers, and undergraduate and graduate students in industrial and organizational psychology and organizational behavior, as well as in specialized courses on job attitudes or job satisfaction. .


Designing and Managing a Research Project

Designing and Managing a Research Project

Author: Michael Jay Polonsky

Publisher: SAGE

Published: 2010-07-20

Total Pages: 297

ISBN-13: 1412977754

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This is a concise, easy-to-read text designed to guide business students through the various aspects of designing and managing research projects. The focus is on research projects that have a solid academic basis, although some implications for more applied projects are also highlighted.