Workshops

May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 13, 2020

This five-hour workshop covers various advanced topics in latent growth modeling for longitudinal data with continuous and categorical variables. Topics include:

  1. Growth modeling with covariates
  2. Growth modeling with time invariant and varying covariates
  3. Centering points
  4. Piecewise growth modeling
  5. Handling missing data
  6. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
September 25, 2020
In this first part, of the three part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables. Topics include: when multilevel analysis is necessary, multilevel regression, random intercepts, slopes and cross-level effects, and interpreting multilevel analysis. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 28, 2020
In this second part, of the three part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel path analysis, multilevel path analysis with mediation, and multilevel path analysis with moderated mediation. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 30, 2020
In this third part, of the three part multilevel workshop series, we will cover intermediate topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel latent variable modeling, analyzing longitudinal data within a multilevel framework, a-priori and post-hoc power analysis. Examples will be demonstrated in Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.
May 14, 2020
This two day hands-on workshop covers various topics in multilevel modeling with continuous and categorical variables. Topics include, when multilevel analysis is necessary, multilevel regression, random slopes and cross-level effects, multilevel confirmatory factor analysis and the MIMIC model, multilevel path analysis, multilevel mediation and moderation, multilevel latent variable modeling, longitudinal data, and power analysis. Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 13, 2020

This five-hour workshop covers various advanced topics in latent growth modeling for longitudinal data with continuous and categorical variables. Topics include:

  1. Growth modeling with covariates
  2. Growth modeling with time invariant and varying covariates
  3. Centering points
  4. Piecewise growth modeling
  5. Handling missing data
  6. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
September 25, 2020
In this first part, of the three part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables. Topics include: when multilevel analysis is necessary, multilevel regression, random intercepts, slopes and cross-level effects, and interpreting multilevel analysis. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 28, 2020
In this second part, of the three part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel path analysis, multilevel path analysis with mediation, and multilevel path analysis with moderated mediation. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 30, 2020
In this third part, of the three part multilevel workshop series, we will cover intermediate topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel latent variable modeling, analyzing longitudinal data within a multilevel framework, a-priori and post-hoc power analysis. Examples will be demonstrated in Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.
September 25, 2020
In this first part, of the three part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables. Topics include: when multilevel analysis is necessary, multilevel regression, random intercepts, slopes and cross-level effects, and interpreting multilevel analysis. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 28, 2020
In this second part, of the three part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel path analysis, multilevel path analysis with mediation, and multilevel path analysis with moderated mediation. Examples will be demonstrated in Mplus. Syntax and output will be provided for all examples covered in the workshop.
September 30, 2020
In this third part, of the three part multilevel workshop series, we will cover intermediate topics in multilevel modeling with continuous and categorical variables. Topics include: multilevel latent variable modeling, analyzing longitudinal data within a multilevel framework, a-priori and post-hoc power analysis. Examples will be demonstrated in Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.
May 11, 2020

This five-hour workshop covers various introductory topics in structural equation modeling, starting with path modeling with continuous and categorical variables. Topics include:

  1. Assumptions and data considerations
  2. Model creation, identification, and evaluation
  3. Multiple regression vs path analysis
  4. Testing mediation
  5. Confirmatory factor analysis
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 12, 2020

This five-hour workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include:

  1. Model creation, identification, and evaluation
  2. Testing moderation, mediation and moderated mediation,
  3. Multiple group modeling
  4. Handling missing data
  5. Power analysis for a-priori sample size estimation.
Lavaan (using R) syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
May 13, 2020

This five-hour workshop covers various advanced topics in latent growth modeling for longitudinal data with continuous and categorical variables. Topics include:

  1. Growth modeling with covariates
  2. Growth modeling with time invariant and varying covariates
  3. Centering points
  4. Piecewise growth modeling
  5. Handling missing data
  6. Power analysis for a-priori sample size estimation.
Mplus syntax and output will be provided for all examples. We offer discounted pricing for graduate students and post-doctoral fellows.
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