A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Curmudgeonly Bear succumbs to Mouse’s entreaties and discovers the joy of books in a hilarious story that fans will covet for their own library. Features an audio read-along! Bear does not want to go to the library. He is quite sure he already has all the books he will ever need. Yet the relentlessly cheery Mouse, small and gray and bright-eyed, thinks different. When Bear reluctantly agrees to go with his friend to the big library, neither rocket ships nor wooden canoes are enough for Bear’s picky tastes. How will Mouse ever find the perfect book for Bear? Children will giggle themselves silly as Bear’s arguments give way to his inevitable curiosity, leading up to a satisfying story hour and a humorously just-right library book.

The concepts of planning and assessment are intrinsically linked—and understanding them is essential for raising the library’s profile and strengthening its position among stakeholders and the community. Even if you're an LIS student or are new to the profession, or if planning or assessment are not your primary areas of responsibility, you still have a role to play in the success of organizational efforts. Fleming-May has more than a decade of experience in planning and assessment initiatives and instruction, and Mays was her institution’s first assessment librarian; their primer draws from theory, research, and their first-hand observations to illuminate such topics as characteristics of bad planning strategy that can help to illustrate a better approach; reasons why using economic models, like ROI, fall short; how to mix the three types of planning; guidelines to ensure that assessment is meaningful and actionable; tips for creating effective surveys; emphasizing users’ needs with a critical assessment framework; data analysis for surveys, interviews, focus groups, and observation; four questions to ask about audience level before you develop a report; a sample 3-year assessment plan that can be customized; and seven steps for developing a culture of ongoing assessment.

"Contains the results of a 1994 survey on the use of user surveys by 69 ARL members. This kit focuses on planning, designing, conducting, and analyzing surveys, and incorporating the results into the decision-making process"--SPEC flyer, p. [1].