ED 201F - ISSUES RES METHODS - Winter 2023

Course Modules

R & Mplus Resources

R & Mplus Resources R & Mplus Resources

External Url

AppStream Instructions AppStream Instructions 1

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Attachment

Hallquist 2018 MplusAutomation - An R Package for Facilitating Large Scale Latent Variable Analyses in Mplus Hallquist 2018 MplusAutomation - An R Package for Facilitating Large Scale Latent Variable Analyses in Mplus 3

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Attachment

Hallquist - Vignette - MplusAutomation Examples Hallquist - Vignette - MplusAutomation Examples 4

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Page

R_cheat_sheets R_cheat_sheets 5

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Page

R_Data_Visualization R_Data_Visualization 6

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Attachment

R-Studio BASICS.docx R-Studio BASICS.docx 7

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Attachment

Mplus BASICS .docx Mplus BASICS .docx 8

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Example LCA articles for writing methods & results sections

Example LCA articles for writing methods & results sections Example LCA articles for writing methods & results sections

Attachment

Moore 2019 An Empirical Approach to Complete Mental Health Classification in Adolescents Moore 2019 An Empirical Approach to Complete Mental Health Classification in Adolescents 1

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Attachment

Garnett Masyn 2014 The Intersectionality of Discrimination Attributes and Bullying Among Youth- An Applied Latent Class Analysis Garnett Masyn 2014 The Intersectionality of Discrimination Attributes and Bullying Among Youth- An Applied Latent Class Analysis 3

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Attachment

McIntyre 2017 A Comprehensive Examination of Reading Heterogeneity in Students with High Functioning Autism Distinct Reading Profiles and Their Relation to Autism Symptom Severity McIntyre 2017 A Comprehensive Examination of Reading Heterogeneity in Students with High Functioning Autism Distinct Reading Profiles and Their Relation to Autism Symptom Severity 4

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Attachment

Quirk Grimm Furlong Nylund-Gibson Swami 2015 - The Association of Latino Children’s Kindergarten School Readiness Profiles With Grade 2–5 Literacy Achievement Trajectories Quirk Grimm Furlong Nylund-Gibson Swami 2015 - The Association of Latino Children’s Kindergarten School Readiness Profiles With Grade 2–5 Literacy Achievement Trajectories 5

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Attachment

Larsen, Nylund-Gibson, Cosden 2014 - Using latent class analysis to identify participant typologies in a drug treatment court Larsen, Nylund-Gibson, Cosden 2014 - Using latent class analysis to identify participant typologies in a drug treatment court 6

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Week 1-2: Overview of Mixture Modeling

Week 1-2: Overview of Mixture Modeling Week 1-2: Overview of Mixture Modeling

Context Module Sub Header

Readings 2

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Attachment

Nylund-Gibson, Choi, 2018 -Ten frequently asked questions about LCA Nylund-Gibson, Choi, 2018 -Ten frequently asked questions about LCA 3

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Attachment

Masyn_2013 Chapter Latent Class Analysis and Finite Mixture Modeling Masyn_2013 Chapter Latent Class Analysis and Finite Mixture Modeling 4

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Context Module Sub Header

Lecture 5

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Attachment

Introduction to Mixture Modeling (Lecture Slides).pdf Introduction to Mixture Modeling (Lecture Slides).pdf 6

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External Tool

Lecture 1 Recording Lecture 1 Recording 7

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Context Module Sub Header

Lab 1 8

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Assignment

Lab 1: Introduction/Refresher to R and RStudio Lab 1: Introduction/Refresher to R and RStudio 20 9

assignment 63944 1

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External Url

Lab 1 Materials Lab 1 Materials 10

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Context Module Sub Header

Lab 2 11

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Assignment

Lab 2: Introduction/Refresher to MplusAutomation (using AppStream) Lab 2: Introduction/Refresher to MplusAutomation (using AppStream) 20 12

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External Url

Lab 2 Materials Lab 2 Materials 13

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Week 3: Introduction to LCA (Statistical model, model interpretation, and model fitting)

Week 3: Introduction to LCA (Statistical model, model interpretation, and model fitting) Week 3: Introduction to LCA (Statistical model, model interpretation, and model fitting)

Context Module Sub Header

Readings 1

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Attachment

Hickendorf 2008 - Informative tools for characterizing individual differences in learning - Latent class, latent profile, and latent transition analysis Hickendorf 2008 - Informative tools for characterizing individual differences in learning - Latent class, latent profile, and latent transition analysis 2

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Attachment

Nylund 2008 - Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study.pdf Nylund 2008 - Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study.pdf 3

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Context Module Sub Header

Lecture 4

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Attachment

Introduction to LCA (Week 3).pdf Introduction to LCA (Week 3).pdf 5

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External Tool

Lecture 2 Recording Lecture 2 Recording 6

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Context Module Sub Header

Lab 3 7

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Assignment

Lab 3: Introduction to Mixture Models Lab 3: Introduction to Mixture Models 20 8

assignment 71286 1

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External Url

Lab 3 Materials Lab 3 Materials 9

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Context Module Sub Header

Assignment 10

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Assignment

Assignment 1: Introduction to Latent Class Analysis (LCA) Assignment 1: Introduction to Latent Class Analysis (LCA) 50 11

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External Url

Assignment 1 Materials Assignment 1 Materials 12

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Week 4: Review of logits, odds, and logistic regression/Enumeration

Week 4: Review of logits, odds, and logistic regression/Enumeration Week 4: Review of logits, odds, and logistic regression/Enumeration

Context Module Sub Header

Readings 1

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Attachment

Nylund-Gibson, Garber, et al. (2022) The Utility of LCA for Understanding Heterogeneity in youth coping: A methodological example Nylund-Gibson, Garber, et al. (2022) The Utility of LCA for Understanding Heterogeneity in youth coping: A methodological example 2

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Context Module Sub Header

Lecture 3

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External Tool

Lecture 3 Recording Lecture 3 Recording 4

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Attachment

Logistic Regression (Adam Garber).pdf Logistic Regression (Adam Garber).pdf 5

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Attachment

Mplus Handout - Find Logits (Adam Garber) Mplus Handout - Find Logits (Adam Garber) 6

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Attachment

Enumeration (Week 4).pdf Enumeration (Week 4).pdf 7

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Context Module Sub Header

Lab 8

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Assignment

Lab 4: Classification Diagnostics and Response Patterns Lab 4: Classification Diagnostics and Response Patterns 20 9

assignment 74686 1

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External Tool

Lab 4 Recording Lab 4 Recording 11

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External Url

Lab 4 Materials Lab 4 Materials 12

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Context Module Sub Header

Assignment 13

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Assignment

Assignment 2: Practicing Writing in APA Format, Classification Diagnostics, and Reponse Patterns Assignment 2: Practicing Writing in APA Format, Classification Diagnostics, and Reponse Patterns 90 14

assignment 74683 1

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External Url

Assignment 2 Materials Assignment 2 Materials 15

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Week 5: Classification/Auxiliary Variables

Week 5: Classification/Auxiliary Variables Week 5: Classification/Auxiliary Variables

Context Module Sub Header

Readings 1

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Context Module Sub Header

Description of classification statistics: Page 569 -570, Masyn 2013 2

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Context Module Sub Header

Example applied diagnostics table: Thibodeau,Masyn, Rogosch & Ciccetti (2019) 3

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Attachment

Thibodeau, Masyn, Rogosch & Ciccetti 2019 child maltreatment adaptive functioning and polygenic risk a structural equation mixture model Thibodeau, Masyn, Rogosch & Ciccetti 2019 child maltreatment adaptive functioning and polygenic risk a structural equation mixture model 4

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Lecture 5

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Lecture 5 Recording Lecture 5 Recording 6

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week5_aux_vars.pdf week5_aux_vars.pdf 7

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Covariate Bar Chart - Example.xlsx Covariate Bar Chart - Example.xlsx 8

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Week 6: Auxiliary variables (Covariates and Distal outcomes)

Week 6: Auxiliary variables (Covariates and Distal outcomes) Week 6: Auxiliary variables (Covariates and Distal outcomes)

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Readings 1

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Latent Class Analysis: Page 584 - 600, Masyn 2013 2

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McLarnon ONeill 2018 - Extentions of Auxilary Variables for Mediaton, Moderation and Conditional Effects in Mixture Models McLarnon ONeill 2018 - Extentions of Auxilary Variables for Mediaton, Moderation and Conditional Effects in Mixture Models 3

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Asparouhov Muthen 2014 Auxiliary Variables in Mixture Modeling Three Step Approaches Using Mplus Asparouhov Muthen 2014 Auxiliary Variables in Mixture Modeling Three Step Approaches Using Mplus 4

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Vermunt 2010 - Latent Class Modeling with Covariates - Two Improved Three-Step Approaches Vermunt 2010 - Latent Class Modeling with Covariates - Two Improved Three-Step Approaches 5

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Holt et al. 2017 - A Latent Class Analysis of Past Victimization Exposures as Predictors of College Mental Health Holt et al. 2017 - A Latent Class Analysis of Past Victimization Exposures as Predictors of College Mental Health 6

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Lecture 8

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Lecture 6 Recording Lecture 6 Recording 9

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Week 6 (Auxiliary/BCH).pdf Week 6 (Auxiliary/BCH).pdf 10

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Lab 11

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Lab 5 Materials Lab 5 Materials 12

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Lab 5 Recording Lab 5 Recording 13

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Lab 5: The Three-Step Approach: Automated and Manual Lab 5: The Three-Step Approach: Automated and Manual 20 14

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Assignment 15

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Assignment 3 Materials Assignment 3 Materials 16

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Assignment 3: Latent Class Analysis with Auxiliary Variables Assignment 3: Latent Class Analysis with Auxiliary Variables 100 17

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Week 7: Latent Profile Analysis

Week 7: Latent Profile Analysis Week 7: Latent Profile Analysis

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Readings 1

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Masyn, K. E. (2013). 25 Latent Class Analysis and Finite Mixture Modeling. The Oxford handbook of quantitative methods, 551. 2

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PAPER: Examining Class Separation Contribution by ObservedIndicators in Latent Class Models: A Multiple Testing Procedure PAPER: Examining Class Separation Contribution by ObservedIndicators in Latent Class Models: A Multiple Testing Procedure 3

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Latent profile analysis: A review and “how to” guide of its application within vocational behavior research Latent profile analysis: A review and “how to” guide of its application within vocational behavior research 4

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Lecture 5

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Week 7, LPA, GMM.pdf Week 7, LPA, GMM.pdf 6

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Lecture 7 Recording Lecture 7 Recording 7

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Lab 8

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Lab 6 Materials Lab 6 Materials 9

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Week 8: Introduction to Latent Transition Analysis (LTA)

Week 8: Introduction to Latent Transition Analysis (LTA) Week 8: Introduction to Latent Transition Analysis (LTA)

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Readings 1

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Lanza, S. T., Bray, B. C., & Collins, L. M. (2012). An introduction to latent class and latent transition analysis. Handbook of Psychology, Second Edition, 2. 2

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Moore, S. A., Dowdy, E., Nylund-Gibson, K., & Furlong, M. J. (2019). A latent transition analysis of the longitudinal stability of dual-factor mental health in adolescence. Journal of School Psychology, 73, 56-73. 3

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Lecture 4

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Week_8_LTA_practice.pdf Week_8_LTA_practice.pdf 5

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Lecture 8 Recording Lecture 8 Recording 6

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Lab 7

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Lab 7 Materials Lab 7 Materials 8

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Simple markov practice - with MplusAutomation Simple markov practice - with MplusAutomation 9

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Data for Markov Practice Data for Markov Practice 10

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Assignment 11

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Assignment 4 Materials Assignment 4 Materials 12

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Assignment 4: Latent Profile Analysis Assignment 4: Latent Profile Analysis 80 13

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Week 9: Introduction to Latent Transition Analysis (LTA) cont.

Week 9: Introduction to Latent Transition Analysis (LTA) cont. Week 9: Introduction to Latent Transition Analysis (LTA) cont.

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Readings 1

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long_LPA_covid.pdf long_LPA_covid.pdf 2

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LTA_ASD.pdf LTA_ASD.pdf 3

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Lecture 12

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Week_9_23.pdf Week_9_23.pdf 13

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Week 10 feedback Week 10 feedback 14

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ASD_slidedeck ASD_slidedeck 15

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Week 10: Mixture regression (moderation with a latent variable)

Week 10: Mixture regression (moderation with a latent variable) Week 10: Mixture regression (moderation with a latent variable)

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Lecture 2

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Week_10_23.pdf Week_10_23.pdf 3

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Lecture 10 Recording Lecture 10 Recording 4

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Final Poster

Final Poster Final Poster

External Url

Poster Feedback Poster Feedback 1

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Page

Better Poster - Video / Templates Better Poster - Video / Templates 2

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BETTER POSTER EXAMPLES - FROM ED 214C SPRING 2018 BETTER POSTER EXAMPLES - FROM ED 214C SPRING 2018 3

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ED 214C Final Poster student example 1 ED 214C Final Poster student example 1 4

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ED 214C Final Poster student example 2 ED 214C Final Poster student example 2 5

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Assignment

Final Poster Final Poster 100 6

assignment 238938 1

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ED 201F - ISSUES RES METHODS - Winter 2023

Course Modules

R & Mplus Resources

Example LCA articles for writing methods & results sections

Week 1-2: Overview of Mixture Modeling

Readings 2

Lecture 5

Lab 1 8

Lab 2 11

Week 3: Introduction to LCA (Statistical model, model interpretation, and model fitting)

Readings 1

Lecture 4

Lab 3 7

Assignment 10

Week 4: Review of logits, odds, and logistic regression/Enumeration

Readings 1

Lecture 3

Lab 8

Assignment 13

Week 5: Classification/Auxiliary Variables

Readings 1

Description of classification statistics: Page 569 -570, Masyn 2013 2

Example applied diagnostics table: Thibodeau,Masyn, Rogosch & Ciccetti (2019) 3

Lecture 5

Week 6: Auxiliary variables (Covariates and Distal outcomes)

Readings 1

Latent Class Analysis: Page 584 - 600, Masyn 2013 2

Lecture 8

Lab 11

Assignment 15

Week 7: Latent Profile Analysis

Readings 1

Masyn, K. E. (2013). 25 Latent Class Analysis and Finite Mixture Modeling. The Oxford handbook of quantitative methods, 551. 2

Lecture 5

Lab 8

Week 8: Introduction to Latent Transition Analysis (LTA)

Readings 1

Lanza, S. T., Bray, B. C., & Collins, L. M. (2012). An introduction to latent class and latent transition analysis. Handbook of Psychology, Second Edition, 2. 2

Moore, S. A., Dowdy, E., Nylund-Gibson, K., & Furlong, M. J. (2019). A latent transition analysis of the longitudinal stability of dual-factor mental health in adolescence. Journal of School Psychology, 73, 56-73. 3

Lecture 4

Lab 7

Assignment 11

Week 9: Introduction to Latent Transition Analysis (LTA) cont.

Readings 1

Lecture 12

Week 10: Mixture regression (moderation with a latent variable)

Lecture 2

Final Poster