By Steven G. Heeringa
Taking a pragmatic process that pulls at the authors’ broad educating, consulting, and examine studies, Applied Survey information Analysis presents an intermediate-level statistical evaluate of the research of complicated pattern survey facts. It emphasizes tools and labored examples utilizing on hand software program strategies whereas reinforcing the foundations and conception that underlie these methods.
After introducing a step by step approach for imminent a survey research challenge, the e-book offers the elemental good points of advanced pattern designs and exhibits the way to combine layout features into the statistical equipment and software program for survey estimation and inference. The authors then concentrate on the equipment and versions utilized in examining non-stop, specific, and count-dependent variables; occasion historical past; and lacking information difficulties. a number of the suggestions mentioned contain univariate descriptive and easy bivariate analyses, the linear regression version, generalized linear regression modeling equipment, the Cox proportional risks version, discrete time versions, and the a number of imputation research procedure. the ultimate bankruptcy covers new advancements in survey functions of complicated statistical thoughts, together with model-based research approaches.
Designed for readers operating in a wide range of disciplines who use survey facts of their paintings, this e-book additionally offers an invaluable framework for integrating extra in-depth experiences of the idea and strategies of survey facts research. A consultant to the utilized statistical research and interpretation of survey info, it includes many examples and useful routines in response to significant real-world survey information units. even if the authors use Stata for many examples within the textual content, they provide 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