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Latent class and latent transition analysis : with applications in the social, behavioral, and health sciences / / Linda M. Collins, Stephanie T. Lanza
| Latent class and latent transition analysis : with applications in the social, behavioral, and health sciences / / Linda M. Collins, Stephanie T. Lanza |
| Autore | Collins Linda M |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2010 |
| Descrizione fisica | 1 online resource (331 p.) |
| Disciplina |
300.15195
519.535 |
| Altri autori (Persone) | LanzaStephanie T. <1969-> |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Latent structure analysis
Latent variables Statistics |
| ISBN |
1-118-21076-X
1-282-68715-8 9786612687150 0-470-56733-3 0-470-56732-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences; CONTENTS; List of Figures; List of Tables; Acknowledgments; Acronyms; PART I FUNDAMENTALS; 1 General Introduction; 1.1 Overview; 1.2 Conceptual foundation and brief history of the latent class model; 1.2.1 LCA and other latent variable models; 1.2.2 Some historical milestones in LCA; 1.2.3 LCA as a person-oriented approach; 1.3 Why select a categorical latent variable approach?; 1.4 Scope of this book; 1.5 Empirical example of LCA: Adolescent delinquency
1.6 Empirical example of LTA: Adolescent delinquency1.7 About this book; 1.7.1 Using this book; 1.8 The examples in this book; 1.8.1 Empirical data sets; 1.9 Software; 1.10 Additional resources: The book's web site; 1.11 Suggested supplemental readings; 1.12 Points to remember; 1.13 What's next; 2 The latent class model; 2.1 Overview; 2.2 Empirical example: Pubertal development; 2.2.1 An initial look at the data; 2.2.2 Why conduct LCA on the pubertal development data?; 2.2.3 Latent classes in the pubertal development data 2.3 The role of item-response probabilities in interpreting latent classes2.3.1 A hypothetical example; 2.3.2 Interpreting the item-response probabilities to label the latent classes in the pubertal development example; 2.3.3 Qualitative and quantitative differences among the pubertal development latent classes; 2.4 Empirical example: Health risk behaviors; 2.4.1 An initial look at the data; 2.4.2 LCA of the health risk behavior data; 2.5 LCA: Model and notation; 2.5.1 Fundamental expressions; 2.5.2 The local independence assumption; 2.6 Suggested supplemental readings; 2.7 Points to remember 2.8 What's next3 The relation between the latent variable and its indicators; 3.1 Overview; 3.2 The latent class measurement model; 3.2.1 Parallels with factor analysis; 3.2.2 Two criteria for evaluating item-response probabilities for a single variable; 3.2.3 Hypothetical and empirical examples of independence and weak relations; 3.2.4 Hypothetical and empirical examples of strong relations; 3.3 Homogeneity and latent class separation; 3.3.1 Homogeneity; 3.3.2 Latent class separation; 3.3.3 Hypothetical examples of homogeneity and latent class separation 3.3.4 How homogeneity and latent class separation are related3.3.5 Homogeneity, latent class separation, and the number of response patterns observed; 3.3.6 Homogeneity and latent class separation in empirical examples; 3.4 The precision with which the observed variables measure the latent variable; 3.4.1 Why posterior probabilities of latent class membership are of interest; 3.4.2 Bayes' theorem; 3.4.3 What homogeneity and latent class separation imply about posterior probabilities and classification uncertainty 3.4.4 Posterior classification uncertainty even with a high degree of homogeneity and latent class separation |
| Record Nr. | UNINA-9910139489803321 |
Collins Linda M
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| Hoboken, NJ, : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST) / / by Linda M. Collins
| Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST) / / by Linda M. Collins |
| Autore | Collins Linda M |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (296 pages) : illustrations, tables |
| Disciplina | 610.727 |
| Collana | Statistics for Social and Behavioral Sciences |
| Soggetto topico |
Statistics
Behavioral sciences Psychology—Methodology Psychological measurement Statistics for Social Sciences, Humanities, Law Behavioral Sciences Psychological Methods/Evaluation |
| ISBN | 3-319-72206-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Conceptual Introduction to the Multiphase Optimization Strategy (MOST) -- 2 The Preparation Phase of MOST -- 3 Introduction to the Factorial Optimization Trial -- 4 Interactions Between Components and Moderation of Component Effects -- 5 Balanced and Unbalanced Reduced Factorial Designs -- 6 Gathering Information for Decision-Making in the Optimization Phase: Resource Management and Practical Issues -- 7 The Completion of the Optimization Phase -- 8 Introduction to Adaptive Intervention. |
| Record Nr. | UNINA-9910300122703321 |
|
Collins Linda M
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||