By Steven G. Heeringa
Taking a pragmatic process that pulls at the authors’ large educating, consulting, and learn reports, Applied Survey info Analysis presents an intermediate-level statistical evaluate of the research of advanced pattern survey info. It emphasizes tools and labored examples utilizing on hand software program methods whereas reinforcing the foundations and conception that underlie these methods.
After introducing a step by step technique for drawing close a survey research challenge, the booklet offers the elemental gains of advanced pattern designs and indicates easy methods to combine layout features into the statistical equipment and software program for survey estimation and inference. The authors then specialize in the tools and types utilized in studying non-stop, express, and count-dependent variables; occasion historical past; and lacking information difficulties. a few of the recommendations mentioned contain univariate descriptive and easy bivariate analyses, the linear regression version, generalized linear regression modeling equipment, the Cox proportional dangers version, discrete time types, and the a number of imputation research approach. 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 big selection of disciplines who use survey information of their paintings, this booklet additionally presents an invaluable framework for integrating extra in-depth reviews of the idea and techniques of survey info research. A advisor to the utilized statistical research and interpretation of survey information, it includes many examples and functional routines in response to significant real-world survey facts units. even though 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 web 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