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Regression analysis and linear models : concepts, applications, and implementation / Richard B. Darlington, Andrew F. Hayes.

By: Darlington, Richard B.
Contributor(s): Hayes, Andrew F.
Material type: materialTypeLabelBookCall no.: BF39.2.R44 D368 2017Series: Methodology in the social sciences: Publication: New York : The Guilford Press, c2017Description: xxvi, 661 p. : ill.ISBN: 9781462521135; 1462521134.Subject(s): Regression analysis | Linear models (Statistics) | Psychology -- Statistical methods | Social sciences -- Statistical methods
Contents:
Statistical control and linear models -- The simple regression model -- Partial relationship and the multiple regression model -- Statistical inference in regression -- Extending regression analysis principles -- Statistical versus experimental control -- Regression for prediction -- Assessing the importance of regressors -- Multicategorical regressors -- More on multicategorical regressors -- Multiple tests -- Nonlinear relationships -- Linear interaction -- Probing interactions and various complexities -- Mediation and path analysis -- Detecting and managing irregularities -- Power, measurement error, and various miscellaneous topics -- Logistic regression and other linear models.
List(s) this item appears in: New Books 2017-09 (Foreign)
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Book Puey Ungphakorn Library, Rangsit Campus
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General Books BF39.2.R44 D368 2017 (See Similar Items) Available 31379015471320
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Includes bibliographical references (page 627-636) and index.

Statistical control and linear models -- The simple regression model -- Partial relationship and the multiple regression model -- Statistical inference in regression -- Extending regression analysis principles -- Statistical versus experimental control -- Regression for prediction -- Assessing the importance of regressors -- Multicategorical regressors -- More on multicategorical regressors -- Multiple tests -- Nonlinear relationships -- Linear interaction -- Probing interactions and various complexities -- Mediation and path analysis -- Detecting and managing irregularities -- Power, measurement error, and various miscellaneous topics -- Logistic regression and other linear models.

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