Data analysis a model comparison approach to regression, ANOVA, and beyond / Charles M. Judd, University of Colorado, Gary H. McClelland, University of Colorado, Carey S. Ryan, University of Nebraska at Omaha.

Author/creator Judd, Charles M.
Other author McClelland, Gary H., 1947-
Other author Ryan, Carey S.
Format Electronic
EditionThird Edition.
Publication InfoNew York : Routledge, Taylor & Francis Group, 2017.
Descriptionxii, 366 pages : illustrations ; 26 cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Contents Preface -- Introduction to data analysis -- Simple models: definitions of error and parameter estimates -- Simple models: models of error and sampling distributions -- Simple models: statistical inferences about parameter values -- Simple regression: estimating models with a single continuous predictor -- Multiple regression: models with multiple continuous predictors -- Moderated and nonlinear regression models -- One-way anova: models with a single categorical predictor -- Factorial anova: models with multiple categorical predictors and product terms -- Ancova: models with continuous and categorical predictors -- Repeated measures anova: models with nonindependent errors -- Incorporating continuous predictors with nonindependent data: towards mixed models -- Outliers and ill-mannered error -- Logistic regression -- References -- Appendices -- Author index -- Subject index.
General noteRevised edition of Data analysis, 2007.
Bibliography noteIncludes bibliographical references (pages 254-255) and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2016055541
ISBN9781138819825 (hardback : alk. paper)
ISBN1138819824 (hardback : alk. paper)
ISBN9781138819832 (pbk. : alk. paper)
ISBN1138819832 (pbk. : alk. paper)

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