Higher-order growth curves and mixture modeling with Mplus: a practical guide
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Routledge
2016
|
| Schriftenreihe: | Multivariate applications book series
|
| Schlagworte: | |
| Beschreibung: | Online resource; title from PDF title page (EBSCO, viewed April 26, 2016) |
| Beschreibung: | 1 online resource (xviii, 326 pages) illustrations |
| ISBN: | 9781317283935 1317283937 9781317283928 1317283929 |
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| 100 | 1 | |a Wickrama, K. A. S. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Higher-order growth curves and mixture modeling with Mplus |b a practical guide |c Kandauda A.S. Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, & Frederick O. Lorenz |
| 264 | 1 | |a New York, NY |b Routledge |c 2016 | |
| 300 | |a 1 online resource (xviii, 326 pages) |b illustrations | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Multivariate applications book series | |
| 500 | |a Online resource; title from PDF title page (EBSCO, viewed April 26, 2016) | ||
| 505 | 8 | |a Half Title; Endorsement; Series Information; Title Page; Copyright Page; Table of Contents; Preface; About the Authors; Part 1 Introduction; 1 Introduction; A Layout of Incrementally-Related SEMs: An Organizing Guide; Illustrative Example 1.1: Examining Alternative Growth Curve Models; Adolescents' Internalizing Symptoms (IS) Trajectories; Datasets used in Illustrations; Measures; References; 2 Latent Growth Curves; Introduction; Growth Curve Modeling; Conventional Latent Growth Curve Models (LGCM); Linear Growth Curve Modeling; Investigating Longitudinal Covariance Patterns | |
| 505 | 8 | |a Illustrative Example 2.1: Examining the Longitudinal Covariance Pattern of IndicatorsEstimating an Unconditional Linear Latent Growth Curve Model (LGCM) Using Mplus; Illustrative Example 2.2: Estimating a Linear Latent Growth Curve Model (LGCM); Curvilinear Growth Curve Modeling (i.e., A Quadratic Growth Curve Model); Illustrative Example 2.3: Estimating a Quadratic Latent Growth Curve Model (LGCM); Model Fit Indices; Comparing Nested Models; Illustrative Example 2.4: Nested Model Comparison Between Linear and Quadratic Models | |
| 505 | 8 | |a Illustrative Example 2.5: Nested Model Comparison Between Models with and Without Correlated ErrorsIllustrative Example 2.6: Non-nested Model Comparison Between Linear and Piecewise Models; Adding Covariates to an Unconditional Model; Illustrative Example 2.7: Adding a Predictor and Outcome to a Linear LGCM; Illustrative Example 2.8: Adding a Predictor and Outcome to a Quadratic LGCM; Methodological Concerns in Longitudinal Analysis: Why Growth Curves?; The Need to Preserve the Continuity of Change; The Need to Investigate Different Growth Parameters | |
| 505 | 8 | |a The Need to Incorporate Growth Parameters as Either Predictors or Outcomes in the Same ModelThe Need to Incorporate Time-Varying Predictors; Limitations; Beyond Latent Growth Curve Modeling; Revisiting the Layout of Models: Figures 1.1, 1.2, and 1.3; First-Order Structural Equation Models; Second-Order Growth Curve Modeling; Growth Mixture Modeling; Chapter 2 Exercises; References; 3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models; Introduction; Confirmatory Factor Analysis (CFA) (Step One); Specification of a Simple CFA; CFA Model Identification | |
| 505 | 8 | |a Scale Setting in a CFALongitudinal Confirmatory Factor Analysis (LCFA): Model Specification (Step Two); A Second-Order Growth Curve: A Curve-of-Factors Model (Step Three); Specification of a Curve-of-Factors Model (CFM); Why Analyze a Curve-of-Factors Model? Improvements Over a Conventional LGCM; Equal Contribution of Items to the Composite Measure; Longitudinal Measurement Invariance (Factorial Invariance); Variance Components of Indicators: Measurement Error and Time-Specific Variance; Chapter 3 Exercises; References; 4 Estimating Curve-of-Factors Growth Curve Models; Introduction | |
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| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 7 | |a Linear models (Statistics) |2 fast | |
| 650 | 7 | |a Mathematical statistics |2 fast | |
| 650 | 4 | |a Linear models (Statistics) |a Mathematical statistics | |
| 700 | 1 | |a Lee, Tae Kyoung |d 1979- |e Sonstige |4 oth | |
| 700 | 1 | |a O'Neal, Catherine Walker |d 1985- |e Sonstige |4 oth | |
| 700 | 1 | |a Lorenz, Frederick O. |d 1948- |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Wickrama, K. A. S. |t Higher-order growth curves and mixture modeling with Mplus |z 9781138925144 |z 1138925144 |
| 912 | |a ZDB-4-NLEBK | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029763468 | ||
Datensatz im Suchindex
| _version_ | 1804177608573714432 |
|---|---|
| any_adam_object | |
| author | Wickrama, K. A. S. |
| author_facet | Wickrama, K. A. S. |
| author_role | aut |
| author_sort | Wickrama, K. A. S. |
| author_variant | k a s w kas kasw |
| building | Verbundindex |
| bvnumber | BV044360837 |
| collection | ZDB-4-NLEBK |
| contents | Half Title; Endorsement; Series Information; Title Page; Copyright Page; Table of Contents; Preface; About the Authors; Part 1 Introduction; 1 Introduction; A Layout of Incrementally-Related SEMs: An Organizing Guide; Illustrative Example 1.1: Examining Alternative Growth Curve Models; Adolescents' Internalizing Symptoms (IS) Trajectories; Datasets used in Illustrations; Measures; References; 2 Latent Growth Curves; Introduction; Growth Curve Modeling; Conventional Latent Growth Curve Models (LGCM); Linear Growth Curve Modeling; Investigating Longitudinal Covariance Patterns Illustrative Example 2.1: Examining the Longitudinal Covariance Pattern of IndicatorsEstimating an Unconditional Linear Latent Growth Curve Model (LGCM) Using Mplus; Illustrative Example 2.2: Estimating a Linear Latent Growth Curve Model (LGCM); Curvilinear Growth Curve Modeling (i.e., A Quadratic Growth Curve Model); Illustrative Example 2.3: Estimating a Quadratic Latent Growth Curve Model (LGCM); Model Fit Indices; Comparing Nested Models; Illustrative Example 2.4: Nested Model Comparison Between Linear and Quadratic Models Illustrative Example 2.5: Nested Model Comparison Between Models with and Without Correlated ErrorsIllustrative Example 2.6: Non-nested Model Comparison Between Linear and Piecewise Models; Adding Covariates to an Unconditional Model; Illustrative Example 2.7: Adding a Predictor and Outcome to a Linear LGCM; Illustrative Example 2.8: Adding a Predictor and Outcome to a Quadratic LGCM; Methodological Concerns in Longitudinal Analysis: Why Growth Curves?; The Need to Preserve the Continuity of Change; The Need to Investigate Different Growth Parameters The Need to Incorporate Growth Parameters as Either Predictors or Outcomes in the Same ModelThe Need to Incorporate Time-Varying Predictors; Limitations; Beyond Latent Growth Curve Modeling; Revisiting the Layout of Models: Figures 1.1, 1.2, and 1.3; First-Order Structural Equation Models; Second-Order Growth Curve Modeling; Growth Mixture Modeling; Chapter 2 Exercises; References; 3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models; Introduction; Confirmatory Factor Analysis (CFA) (Step One); Specification of a Simple CFA; CFA Model Identification Scale Setting in a CFALongitudinal Confirmatory Factor Analysis (LCFA): Model Specification (Step Two); A Second-Order Growth Curve: A Curve-of-Factors Model (Step Three); Specification of a Curve-of-Factors Model (CFM); Why Analyze a Curve-of-Factors Model? Improvements Over a Conventional LGCM; Equal Contribution of Items to the Composite Measure; Longitudinal Measurement Invariance (Factorial Invariance); Variance Components of Indicators: Measurement Error and Time-Specific Variance; Chapter 3 Exercises; References; 4 Estimating Curve-of-Factors Growth Curve Models; Introduction |
| ctrlnum | (ZDB-4-NLEBK)ocn946887504 (OCoLC)946887504 (DE-599)BVBBV044360837 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV044360837 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:50:47Z |
| institution | BVB |
| isbn | 9781317283935 1317283937 9781317283928 1317283929 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029763468 |
| oclc_num | 946887504 |
| open_access_boolean | |
| physical | 1 online resource (xviii, 326 pages) illustrations |
| psigel | ZDB-4-NLEBK |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Routledge |
| record_format | marc |
| series2 | Multivariate applications book series |
| spelling | Wickrama, K. A. S. Verfasser aut Higher-order growth curves and mixture modeling with Mplus a practical guide Kandauda A.S. Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, & Frederick O. Lorenz New York, NY Routledge 2016 1 online resource (xviii, 326 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Multivariate applications book series Online resource; title from PDF title page (EBSCO, viewed April 26, 2016) Half Title; Endorsement; Series Information; Title Page; Copyright Page; Table of Contents; Preface; About the Authors; Part 1 Introduction; 1 Introduction; A Layout of Incrementally-Related SEMs: An Organizing Guide; Illustrative Example 1.1: Examining Alternative Growth Curve Models; Adolescents' Internalizing Symptoms (IS) Trajectories; Datasets used in Illustrations; Measures; References; 2 Latent Growth Curves; Introduction; Growth Curve Modeling; Conventional Latent Growth Curve Models (LGCM); Linear Growth Curve Modeling; Investigating Longitudinal Covariance Patterns Illustrative Example 2.1: Examining the Longitudinal Covariance Pattern of IndicatorsEstimating an Unconditional Linear Latent Growth Curve Model (LGCM) Using Mplus; Illustrative Example 2.2: Estimating a Linear Latent Growth Curve Model (LGCM); Curvilinear Growth Curve Modeling (i.e., A Quadratic Growth Curve Model); Illustrative Example 2.3: Estimating a Quadratic Latent Growth Curve Model (LGCM); Model Fit Indices; Comparing Nested Models; Illustrative Example 2.4: Nested Model Comparison Between Linear and Quadratic Models Illustrative Example 2.5: Nested Model Comparison Between Models with and Without Correlated ErrorsIllustrative Example 2.6: Non-nested Model Comparison Between Linear and Piecewise Models; Adding Covariates to an Unconditional Model; Illustrative Example 2.7: Adding a Predictor and Outcome to a Linear LGCM; Illustrative Example 2.8: Adding a Predictor and Outcome to a Quadratic LGCM; Methodological Concerns in Longitudinal Analysis: Why Growth Curves?; The Need to Preserve the Continuity of Change; The Need to Investigate Different Growth Parameters The Need to Incorporate Growth Parameters as Either Predictors or Outcomes in the Same ModelThe Need to Incorporate Time-Varying Predictors; Limitations; Beyond Latent Growth Curve Modeling; Revisiting the Layout of Models: Figures 1.1, 1.2, and 1.3; First-Order Structural Equation Models; Second-Order Growth Curve Modeling; Growth Mixture Modeling; Chapter 2 Exercises; References; 3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models; Introduction; Confirmatory Factor Analysis (CFA) (Step One); Specification of a Simple CFA; CFA Model Identification Scale Setting in a CFALongitudinal Confirmatory Factor Analysis (LCFA): Model Specification (Step Two); A Second-Order Growth Curve: A Curve-of-Factors Model (Step Three); Specification of a Curve-of-Factors Model (CFM); Why Analyze a Curve-of-Factors Model? Improvements Over a Conventional LGCM; Equal Contribution of Items to the Composite Measure; Longitudinal Measurement Invariance (Factorial Invariance); Variance Components of Indicators: Measurement Error and Time-Specific Variance; Chapter 3 Exercises; References; 4 Estimating Curve-of-Factors Growth Curve Models; Introduction Mplus Mplus fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Linear models (Statistics) fast Mathematical statistics fast Linear models (Statistics) Mathematical statistics Lee, Tae Kyoung 1979- Sonstige oth O'Neal, Catherine Walker 1985- Sonstige oth Lorenz, Frederick O. 1948- Sonstige oth Erscheint auch als Druck-Ausgabe Wickrama, K. A. S. Higher-order growth curves and mixture modeling with Mplus 9781138925144 1138925144 |
| spellingShingle | Wickrama, K. A. S. Higher-order growth curves and mixture modeling with Mplus a practical guide Half Title; Endorsement; Series Information; Title Page; Copyright Page; Table of Contents; Preface; About the Authors; Part 1 Introduction; 1 Introduction; A Layout of Incrementally-Related SEMs: An Organizing Guide; Illustrative Example 1.1: Examining Alternative Growth Curve Models; Adolescents' Internalizing Symptoms (IS) Trajectories; Datasets used in Illustrations; Measures; References; 2 Latent Growth Curves; Introduction; Growth Curve Modeling; Conventional Latent Growth Curve Models (LGCM); Linear Growth Curve Modeling; Investigating Longitudinal Covariance Patterns Illustrative Example 2.1: Examining the Longitudinal Covariance Pattern of IndicatorsEstimating an Unconditional Linear Latent Growth Curve Model (LGCM) Using Mplus; Illustrative Example 2.2: Estimating a Linear Latent Growth Curve Model (LGCM); Curvilinear Growth Curve Modeling (i.e., A Quadratic Growth Curve Model); Illustrative Example 2.3: Estimating a Quadratic Latent Growth Curve Model (LGCM); Model Fit Indices; Comparing Nested Models; Illustrative Example 2.4: Nested Model Comparison Between Linear and Quadratic Models Illustrative Example 2.5: Nested Model Comparison Between Models with and Without Correlated ErrorsIllustrative Example 2.6: Non-nested Model Comparison Between Linear and Piecewise Models; Adding Covariates to an Unconditional Model; Illustrative Example 2.7: Adding a Predictor and Outcome to a Linear LGCM; Illustrative Example 2.8: Adding a Predictor and Outcome to a Quadratic LGCM; Methodological Concerns in Longitudinal Analysis: Why Growth Curves?; The Need to Preserve the Continuity of Change; The Need to Investigate Different Growth Parameters The Need to Incorporate Growth Parameters as Either Predictors or Outcomes in the Same ModelThe Need to Incorporate Time-Varying Predictors; Limitations; Beyond Latent Growth Curve Modeling; Revisiting the Layout of Models: Figures 1.1, 1.2, and 1.3; First-Order Structural Equation Models; Second-Order Growth Curve Modeling; Growth Mixture Modeling; Chapter 2 Exercises; References; 3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models; Introduction; Confirmatory Factor Analysis (CFA) (Step One); Specification of a Simple CFA; CFA Model Identification Scale Setting in a CFALongitudinal Confirmatory Factor Analysis (LCFA): Model Specification (Step Two); A Second-Order Growth Curve: A Curve-of-Factors Model (Step Three); Specification of a Curve-of-Factors Model (CFM); Why Analyze a Curve-of-Factors Model? Improvements Over a Conventional LGCM; Equal Contribution of Items to the Composite Measure; Longitudinal Measurement Invariance (Factorial Invariance); Variance Components of Indicators: Measurement Error and Time-Specific Variance; Chapter 3 Exercises; References; 4 Estimating Curve-of-Factors Growth Curve Models; Introduction Mplus Mplus fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Linear models (Statistics) fast Mathematical statistics fast Linear models (Statistics) Mathematical statistics |
| title | Higher-order growth curves and mixture modeling with Mplus a practical guide |
| title_auth | Higher-order growth curves and mixture modeling with Mplus a practical guide |
| title_exact_search | Higher-order growth curves and mixture modeling with Mplus a practical guide |
| title_full | Higher-order growth curves and mixture modeling with Mplus a practical guide Kandauda A.S. Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, & Frederick O. Lorenz |
| title_fullStr | Higher-order growth curves and mixture modeling with Mplus a practical guide Kandauda A.S. Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, & Frederick O. Lorenz |
| title_full_unstemmed | Higher-order growth curves and mixture modeling with Mplus a practical guide Kandauda A.S. Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, & Frederick O. Lorenz |
| title_short | Higher-order growth curves and mixture modeling with Mplus |
| title_sort | higher order growth curves and mixture modeling with mplus a practical guide |
| title_sub | a practical guide |
| topic | Mplus Mplus fast MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Linear models (Statistics) fast Mathematical statistics fast Linear models (Statistics) Mathematical statistics |
| topic_facet | Mplus MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Linear models (Statistics) Mathematical statistics Linear models (Statistics) Mathematical statistics |
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