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Konzeptwandelprozesse im Anfangsunterricht Chemie : Eine quasiexperimentelle Längsschnittstudie / / Barbara Hank
| Konzeptwandelprozesse im Anfangsunterricht Chemie : Eine quasiexperimentelle Längsschnittstudie / / Barbara Hank |
| Autore | Hank Barbara |
| Pubbl/distr/stampa | Berlin : , : Logos Berlin, , 2013 |
| Descrizione fisica | 1 online resource (250 pages) : illustrations |
| Disciplina | 001.433 |
| Collana | Studien zum Physik- und Chemielernen |
| Soggetto topico | Longitudinal method |
| ISBN | 3-8325-9611-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910822447603321 |
Hank Barbara
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| Berlin : , : Logos Berlin, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Longitudinal and life course studies : international journal
| Longitudinal and life course studies : international journal |
| Pubbl/distr/stampa | London : , : Society for Longitudinal and Life Course Studies, , [2009]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 305 |
| Soggetto topico |
Life cycle, Human
Households - Research Communities - Research Longitudinal method Longitudinal Studies |
| Soggetto genere / forma |
Periodicals.
Periodical |
| ISSN | 1757-9597 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | LLCS journal |
| Record Nr. | UNINA-9910138906003321 |
| London : , : Society for Longitudinal and Life Course Studies, , [2009]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees [[electronic resource]]
| Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees [[electronic resource]] |
| Autore | Frees Edward W. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
| Descrizione fisica | 1 online resource (xvi, 467 pages) : digital, PDF file(s) |
| Disciplina | 300/.72/7 |
| Soggetto topico |
Social sciences - Research - Statistical methods
Longitudinal method Panel analysis Social sciences - Mathematical models Social sciences - Statistical methods |
| ISBN |
1-107-14754-9
1-280-54050-8 0-511-79092-9 0-511-21527-4 0-511-21706-4 0-511-21169-4 0-511-31569-4 0-511-21346-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Fixed-Effects Models; 3 Models with Random Effects; 4 Prediction and Bayesian Inference; 5 Multilevel Models; 6 Stochastic Regressors; 7 Modeling Issues; 8 Dynamic Models; 9 Binary Dependent Variables; 10 Generalized Linear Models; 11 Categorical Dependent Variables and Survival Models; Appendix A Elements of Matrix Algebra; Appendix B Normal Distribution; Appendix C Likelihood-Based Inference; Appendix D State Space Model and the Kalman Filter; Appendix E Symbols and Notation
Appendix F Selected Longitudinal and Panel Data SetsReferences; Index |
| Altri titoli varianti | Longitudinal & Panel Data |
| Record Nr. | UNINA-9910458150503321 |
|
Frees Edward W.
|
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| Cambridge : , : Cambridge University Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees
| Longitudinal and panel data : analysis and applications in the social sciences / / Edward W. Frees |
| Autore | Frees Edward W. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
| Descrizione fisica | 1 online resource (xvi, 467 pages) : illustrations; digital, PDF file(s) |
| Disciplina | 300/.72/7 |
| Soggetto topico |
Social sciences - Research - Statistical methods
Longitudinal method Panel analysis Social sciences - Mathematical models Social sciences - Statistical methods |
| ISBN |
1-107-14754-9
1-280-54050-8 0-511-79092-9 0-511-21527-4 0-511-21706-4 0-511-21169-4 0-511-31569-4 0-511-21346-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Fixed-Effects Models; 3 Models with Random Effects; 4 Prediction and Bayesian Inference; 5 Multilevel Models; 6 Stochastic Regressors; 7 Modeling Issues; 8 Dynamic Models; 9 Binary Dependent Variables; 10 Generalized Linear Models; 11 Categorical Dependent Variables and Survival Models; Appendix A Elements of Matrix Algebra; Appendix B Normal Distribution; Appendix C Likelihood-Based Inference; Appendix D State Space Model and the Kalman Filter; Appendix E Symbols and Notation; Appendix F Selected Longitudinal and Panel Data Sets; References; Index |
| Altri titoli varianti | Longitudinal & Panel Data |
| Record Nr. | UNINA-9910784438003321 |
|
Frees Edward W.
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| Cambridge : , : Cambridge University Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina |
519.5
610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-44761-3
9786610447619 0-470-03648-6 0-470-03647-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910143573903321 |
|
Hedeker Donald R. <1958->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis [[electronic resource] /] / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina |
519.5
610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
1-280-44761-3
9786610447619 0-470-03648-6 0-470-03647-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910830719503321 |
|
Hedeker Donald R. <1958->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Longitudinal data analysis / / Donald Hedeker, Robert D. Gibbons
| Longitudinal data analysis / / Donald Hedeker, Robert D. Gibbons |
| Autore | Hedeker Donald R. <1958-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) | GibbonsRobert D. <1955-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Longitudinal method
Medicine - Research - Statistical methods Medical sciences - Research - Statistical methods Social sciences - Research - Statistical methods |
| ISBN |
9786610447619
9781280447617 1280447613 9780470036488 0470036486 9780470036471 0470036478 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect
2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 6.2 Covariance Pattern Models |
| Record Nr. | UNINA-9910877657203321 |
|
Hedeker Donald R. <1958->
|
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| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for intensive longitudinal data [[electronic resource] /] / edited by Theodore A. Walls and Joseph L. Schafer
| Models for intensive longitudinal data [[electronic resource] /] / edited by Theodore A. Walls and Joseph L. Schafer |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2006 |
| Descrizione fisica | 1 online resource (311 p.) |
| Disciplina | 300/.72/7 |
| Altri autori (Persone) |
WallsTheodore A
SchaferJ. L (Joseph L.) |
| Soggetto topico |
Social sciences - Research - Statistical methods
Social sciences Longitudinal method |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-803866-6
1-280-55918-7 1-4294-0521-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Contributors; Introduction: Intensive Longitudinal Data; 1 Multilevel Models for Intensive Longitudinal Data; 1.1 Behavioral Scientific Motivations for Collecting Intensive Longitudinal Data; 1.2 Overview of Multilevel Models; 1.3 Applying Multilevel Modeling to Intensive Longitudinal Data; 1.4 Application: Control and Choice in Indian Schoolchildren; 1.5 Summary; 2 Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations; 2.1 What Is GEE Regression?; 2.2 Practical Considerations in the Application of GEE
2.3 Application: Reanalysis of the Control and Choice Data Using GEE3 A Local Linear Estimation Procedure for Functional Multilevel Modeling; 3.1 The Model; 3.2 Practical Considerations; 3.3 Application: Smoking Cessation Study; 3.4 Discussion; 4 Application of Item Response Theory Models for Intensive Longitudinal Data; 4.1 IRT Model; 4.2 Estimation; 4.3 Application: Adolescent Smoking Study; 4.4 Discussion; 5 Fitting Curves with Periodic and Nonperiodic Trends and Their Interactions with Intensive Longitudinal Data; 5.1 Periodic and Nonperiodic Trends; 5.2 The Model 5.3 Application: Personality Data5.4 Discussion; 6 Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process; 6.1 Defining Stability as Regularity in a Time Series; 6.2 Multilevel Models; 6.3 A Multilevel AR(1) Model; 6.4 Application: Daily Alcohol Use; 6.5 Estimating This Model in SAS PROC MIXED; 6.6 Predicting the Individual AR(1) Coefficients; 6.7 Discussion; 7 The State-Space Approach to Modeling Dynamic Processes; 7.1 Gaussian State-Space Models; 7.2 Some Special Cases of State-Space Models; 7.3 Parameter Estimation 7.4 Application 1: Connectivity Analysis with fMRI Data7.5 Application 2: Testing the Induced Demand Hypothesis from Matched Traffic Profiles; 7.6 Conclusions; 8 The Control of Behavioral Input/Output Systems; 8.1 A Typical Input/Output System; 8.2 Modeling System Dynamics; 8.3 Controller Strategies to Meet an Output Target; 8.4 Fitting Dynamic Models to Intensive Longitudinal Data; 9 Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage; 9.1 Self-Regulation and Intrinsic Dynamics; 9.2 Coupled Regulation and Coupled Dynamics 9.3 Time-Delay Embedding9.4 Accounting for Individual Differences in Dynamics; 9.5 Application: Daily Intimacy and Disclosure in Married Couples; 9.6 Discussion; 10 Point Process Models for Event History Data: Applications in Behavioral Science; 10.1 Ecological Momentary Assessment of Smoking; 10.2 Point Process Models; 10.3 Application: An EMA Study of Smoking Data; 10.4 Discussion of Results; 10.5 Multivariate Point Patterns; 11 Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection; 11.1 Intensive Data Collection Systems 11.2 Statistical Issues for Intensive Longitudinal Measurement |
| Record Nr. | UNINA-9910465141603321 |
| Oxford ; ; New York, : Oxford University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for intensive longitudinal data / / edited by Theodore A. Walls and Joseph L. Schafer
| Models for intensive longitudinal data / / edited by Theodore A. Walls and Joseph L. Schafer |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2006 |
| Descrizione fisica | 1 online resource (311 pages) |
| Disciplina | 300/.72/7 |
| Altri autori (Persone) |
WallsTheodore A
SchaferJ. L (Joseph L.) |
| Soggetto topico |
Social sciences - Research - Statistical methods
Social sciences Longitudinal method |
| ISBN |
0-19-803866-6
1-280-55918-7 1-4294-0521-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Contributors; Introduction: Intensive Longitudinal Data; 1 Multilevel Models for Intensive Longitudinal Data; 1.1 Behavioral Scientific Motivations for Collecting Intensive Longitudinal Data; 1.2 Overview of Multilevel Models; 1.3 Applying Multilevel Modeling to Intensive Longitudinal Data; 1.4 Application: Control and Choice in Indian Schoolchildren; 1.5 Summary; 2 Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations; 2.1 What Is GEE Regression?; 2.2 Practical Considerations in the Application of GEE
2.3 Application: Reanalysis of the Control and Choice Data Using GEE; 3 A Local Linear Estimation Procedure for Functional Multilevel Modeling; 3.1 The Model; 3.2 Practical Considerations; 3.3 Application: Smoking Cessation Study; 3.4 Discussion; 4 Application of Item Response Theory Models for Intensive Longitudinal Data; 4.1 IRT Model; 4.2 Estimation; 4.3 Application: Adolescent Smoking Study; 4.4 Discussion; 5 Fitting Curves with Periodic and Nonperiodic Trends and Their Interactions with Intensive Longitudinal Data; 5.1 Periodic and Nonperiodic Trends; 5.2 The Model 5.3 Application: Personality Data; 5.4 Discussion; 6 Multilevel Autoregressive Modeling of Interindividual Differences in the Stability of a Process; 6.1 Defining Stability as Regularity in a Time Series; 6.2 Multilevel Models; 6.3 A Multilevel AR(1) Model; 6.4 Application: Daily Alcohol Use; 6.5 Estimating This Model in SAS PROC MIXED; 6.6 Predicting the Individual AR(1) Coefficients; 6.7 Discussion; 7 The State-Space Approach to Modeling Dynamic Processes; 7.1 Gaussian State-Space Models; 7.2 Some Special Cases of State-Space Models; 7.3 Parameter Estimation 7.4 Application 1: Connectivity Analysis with fMRI Data; 7.5 Application 2: Testing the Induced Demand Hypothesis from Matched Traffic Profiles; 7.6 Conclusions; 8 The Control of Behavioral Input/Output Systems; 8.1 A Typical Input/Output System; 8.2 Modeling System Dynamics; 8.3 Controller Strategies to Meet an Output Target; 8.4 Fitting Dynamic Models to Intensive Longitudinal Data; 9 Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage; 9.1 Self-Regulation and Intrinsic Dynamics; 9.2 Coupled Regulation and Coupled Dynamics 9.3 Time-Delay Embedding; 9.4 Accounting for Individual Differences in Dynamics; 9.5 Application: Daily Intimacy and Disclosure in Married Couples; 9.6 Discussion; 10 Point Process Models for Event History Data: Applications in Behavioral Science; 10.1 Ecological Momentary Assessment of Smoking; 10.2 Point Process Models; 10.3 Application: An EMA Study of Smoking Data; 10.4 Discussion of Results; 10.5 Multivariate Point Patterns; 11 Emerging Technologies and Next-Generation Intensive Longitudinal Data Collection; 11.1 Intensive Data Collection Systems; 11.2 Statistical Issues for Intensive Longitudinal Measurement |
| Record Nr. | UNINA-9910792235603321 |
| Oxford ; ; New York, : Oxford University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The National Children's Study Research Plan : a review / / Panel to Review the National Children's Study Research Plan, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, National Research Council, Board on Children, Youth and Families, Division of Behavioral and Social Sciences and Education, National Research Council and Institute of Medicine and Board on Population Health and Public Health Practice, Institute of Medicine [and] National Research Council of the National Academies
| The National Children's Study Research Plan : a review / / Panel to Review the National Children's Study Research Plan, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, National Research Council, Board on Children, Youth and Families, Division of Behavioral and Social Sciences and Education, National Research Council and Institute of Medicine and Board on Population Health and Public Health Practice, Institute of Medicine [and] National Research Council of the National Academies |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Washington, D.C. : , : National Academies Press, , 2008 |
| Descrizione fisica | 1 online resource (167 pages) |
| Disciplina | 613.0432 |
| Soggetto topico |
Children - Health and hygiene - Research - United States
Children - Health and hygiene - United States Medical policy - United States Public health - Research - United States Public health - United States Child development Children Child health services Medical policy Longitudinal method Research Child Development Psychology, Child Child Health Policy Longitudinal Studies Child Behavior |
| ISBN |
9786611767303
9780309185929 0309185920 9781281767301 1281767301 9780309120579 0309120578 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 2 NCS Goals, Conceptual Framework, and Core Hypotheses -- 3 Priority Outcome and Exposure Measures -- 4 Study Design, Data Collection, and Analysis -- 5 Ethical Procedures and Community Engagement -- 6 Conclusions and Recommendations -- References -- Biographical Sketches of Panel Members |
| Record Nr. | UNINA-9910959189503321 |
| Washington, D.C. : , : National Academies Press, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
