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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Measurement Error - Models, Methods, and Applications (Paperback)
Loot Price: R1,444
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Measurement Error - Models, Methods, and Applications (Paperback)
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Expected to ship within 12 - 17 working days
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Over the last 20 years, comprehensive strategies for treating
measurement error in complex models and accounting for the use of
extra data to estimate measurement error parameters have emerged.
Focusing on both established and novel approaches, Measurement
Error: Models, Methods, and Applications provides an overview of
the main techniques and illustrates their application in various
models. It describes the impacts of measurement errors on naive
analyses that ignore them and presents ways to correct for them
across a variety of statistical models, from simple one-sample
problems to regression models to more complex mixed and time series
models. The book covers correction methods based on known
measurement error parameters, replication, internal or external
validation data, and, for some models, instrumental variables. It
emphasizes the use of several relatively simple methods, moment
corrections, regression calibration, simulation extrapolation
(SIMEX), modified estimating equation methods, and likelihood
techniques. The author uses SAS-IML and Stata to implement many of
the techniques in the examples. Accessible to a broad audience,
this book explains how to model measurement error, the effects of
ignoring it, and how to correct for it. More applied than most
books on measurement error, it describes basic models and methods,
their uses in a range of application areas, and the associated
terminology.
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