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Configural frequency analysis : foundations, models, and applications / / Alexander von Eye, Wolfgang Wiedermann
| Configural frequency analysis : foundations, models, and applications / / Alexander von Eye, Wolfgang Wiedermann |
| Autore | Eye Alexander von |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (401 pages) |
| Disciplina | 519.535 |
| Collana | Statistics for social and behavioral sciences |
| Soggetto topico |
Discriminant analysis
Psychometrics Psicometria Anàlisi discriminant |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-662-64008-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466560303316 |
Eye Alexander von
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| Berlin, Germany : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Configural Frequency Analysis : Foundations, Models, and Applications / / by Alexander von Eye, Wolfgang Wiedermann
| Configural Frequency Analysis : Foundations, Models, and Applications / / by Alexander von Eye, Wolfgang Wiedermann |
| Autore | Eye Alexander von |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (401 pages) |
| Disciplina | 519.535 |
| Collana | Statistics for Social and Behavioral Sciences |
| Soggetto topico |
Social sciences - Statistical methods
Psychology - Methodology Statistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Psychological Methods Statistical Theory and Methods |
| ISBN | 3-662-64008-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1 Questions that Can Be Answered with CFA -- 2 Elements of CFA -- 3 Models of CFA -- 4 Models of Longitudinal CFA -- 5 Designs for CFA -- 6 Special Variables in CFA -- 7 The CFA Treasure Chest -- 8 CFA Software -- Index. |
| Record Nr. | UNINA-9910520062503321 |
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Eye Alexander von
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Log-linear modeling : concepts, interpretation, and application / / Alexander von Eye, Eun-Young Mun
| Log-linear modeling : concepts, interpretation, and application / / Alexander von Eye, Eun-Young Mun |
| Autore | Eye Alexander von |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2013 |
| Descrizione fisica | 1 online resource (468 p.) |
| Disciplina | 519.5/36 |
| Altri autori (Persone) | MunEun Young |
| Soggetto topico | Log-linear models |
| ISBN |
1-118-39176-4
1-118-39177-2 1-283-97796-6 1-118-39174-8 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; CONTENTS; Preface; Acknowledgments; 1 Basics of Hierarchical Log-linear Models; 1.1 Scaling: Which Variables Are Considered Categorical?; 1.2 Crossing Two or More Variables; 1.3 Goodman's Three Elementary Views of Log-linear Modeling; 1.4 Assumptions Made for Log-linear Modeling; 2 Effects in a Table; 2.1 The Null Model; 2.2 The Row Effects-Only Model; 2.3 The Column Effects-Only Model; 2.4 The Row- and Column-Effects Model; 2.5 Log-Linear Models; 3 Goodness-of-Fit; 3.1 Goodness-of-Fit I: Overall Fit Statistics; 3.1.1 Selecting between X2 and G2
3.1.2 Degrees of Freedom3.2 Goodness-of-Fit II: R2 Equivalents and Information Criteria; 3.2.1 R2 Equivalents; 3.2.2 Information Criteria; 3.3 Goodness-of-Fit III: Null Hypotheses Concerning Parameters; 3.4 Goodness-of-fit IV: Residual Analysis; 3.4.1 Overall Goodness-of-Fit Measures and Residuals; 3.4.2 Other Residual Measures; 3.4.3 Comparing Residual Measures; 3.4.4 A Procedure to Identify Extreme Cells; 3.4.5 Distributions of Residuals; 3.5 The Relationship between Pearson's X2 and Log-linear Modeling; 4 Hierarchical Log-linear Models and Odds Ratio Analysis 6.1.2 Poisson Models6.1.3 GLM for Continuous Outcome Variables; 6.2 Design Matrices: Coding; 6.2.1 Dummy Coding; 6.2.2 Effect Coding; 6.2.3 Orthogonality of Vectors in Log-linear Design Matrices; 6.2.4 Design Matrices and Degrees of Freedom; 7 Parameter Interpretation and Significance Tests; 7.1 Parameter Interpretation Based on Design Matrices; 7.2 The Two Sources of Parameter Correlation: Dependency of Vectors and Data Characteristics; 7.3 Can Main Effects Be Interpreted?; 7.3.1 Parameter Interpretation in Main Effect Models; 7.3.2 Parameter Interpretation in Models with Interactions 7.4 Interpretation of Higher Order Interactions8 Computations II: Design Matrices and Poisson GLM; 8.1 GLM-Based Log-linear Modeling in R; 8.2 Design Matrices in SYSTAT; 8.3 Log-linear Modeling with Design Matrices in lEM; 8.3.1 The Hierarchical Log-linear Modeling Option in lEM; 8.3.2 Using lEM'S Command cov to Specify Hierarchical Log-linear Models; 8.3.3 Using lEM'S Command fac to Specify Hierarchical Log-linear Models; 9 Nonhierarchical and Nonstandard Log-linear Models; 9.1 Defining Nonhierarchical and Nonstandard Log-linear Models 9.2 Virtues of Nonhierarchical and Nonstandard Log-linear Models |
| Record Nr. | UNINA-9910141472403321 |
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Eye Alexander von
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| Hoboken, N.J., : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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