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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Context Module Sub Header

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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External Url

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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External Url

Assignment 4 Materials Assignment 4 Materials 12

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Assignment

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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External Url

Week 10 feedback Week 10 feedback 14

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External Url

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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Attachment

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

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

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