By Steven G. Heeringa
Taking a pragmatic method that attracts at the authors’ vast instructing, consulting, and examine reviews, Applied Survey information Analysis offers an intermediate-level statistical assessment of the research of advanced pattern survey info. It emphasizes tools and labored examples utilizing on hand software program tactics whereas reinforcing the foundations and conception that underlie these methods.
After introducing a step by step technique for impending a survey research challenge, the booklet provides the basic positive factors of advanced pattern designs and indicates the way to combine layout features into the statistical equipment and software program for survey estimation and inference. The authors then specialize in the equipment and versions utilized in interpreting non-stop, specific, and count-dependent variables; occasion background; and lacking info difficulties. a few of the ideas mentioned comprise univariate descriptive and easy bivariate analyses, the linear regression version, generalized linear regression modeling equipment, the Cox proportional dangers version, discrete time versions, and the a number of imputation research technique. the ultimate bankruptcy covers new advancements in survey purposes of complicated statistical recommendations, together with model-based research approaches.
Designed for readers operating in a wide range of disciplines who use survey facts of their paintings, this ebook additionally presents an invaluable framework for integrating extra in-depth stories of the speculation and strategies of survey info research. A advisor to the utilized statistical research and interpretation of survey info, it comprises many examples and functional workouts in response to significant real-world survey facts units. even if the authors use Stata for many examples within the textual content, they give SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software program code for replicating the examples at the book’s site: http://www.isr.umich.edu/src/smp/asda/
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Applied Survey Data Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) by Steven G. Heeringa