Upcoming Events

You can find the upcoming events in this section.

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

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

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

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

In this first, of the two part Introduction to Bayesian Analysis workshop series, we provide a very practical introduction to Bayesian estimation. Topics Include:

- Why Bayesian and why now
- Understanding the concepts of Bayes
- Estimating parameters using Markov Chain Monte Carlo (MCMC)
- Model fit

In this second, of the two part Introduction to Bayesian Analysis workshop series, we expand on part I to provide practical examples of Bayesian analysis. Topics Include:

- Multiple regression with uninformative versus informative priors
- Mediation analysis with uninformative versus informative priors
- Path analysis with uninformative versus informative priors

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

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

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

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

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

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

In this first, of the two part Introduction to Bayesian Analysis workshop series, we provide a very practical introduction to Bayesian estimation. Topics Include:

- Why Bayesian and why now
- Understanding the concepts of Bayes
- Estimating parameters using Markov Chain Monte Carlo (MCMC)
- Model fit

In this second, of the two part Introduction to Bayesian Analysis workshop series, we expand on part I to provide practical examples of Bayesian analysis. Topics Include:

- Multiple regression with uninformative versus informative priors
- Mediation analysis with uninformative versus informative priors
- Path analysis with uninformative versus informative priors

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

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

In this first, of the two part Introduction to Bayesian Analysis workshop series, we provide a very practical introduction to Bayesian estimation. Topics Include:

- Why Bayesian and why now
- Understanding the concepts of Bayes
- Estimating parameters using Markov Chain Monte Carlo (MCMC)
- Model fit

In this second, of the two part Introduction to Bayesian Analysis workshop series, we expand on part I to provide practical examples of Bayesian analysis. Topics Include:

- Multiple regression with uninformative versus informative priors
- Mediation analysis with uninformative versus informative priors
- Path analysis with uninformative versus informative priors

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

In this first part, of the two part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables.

- When multilevel analysis is necessary,
- Multilevel regression,
- Random intercepts, slopes and cross-level effects, and
- Interpreting multilevel analysis

In this second part, of the two part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables.

- Multilevel path analysis,
- Multilevel path analysis with mediation and moderation,
- Multilevel latent variable modeling,
- Analyzing longitudinal data within a multilevel framework
- A-priori and post-hoc power analysis

In this first part, of the two part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables.

- When multilevel analysis is necessary,
- Multilevel regression,
- Random intercepts, slopes and cross-level effects, and
- Interpreting multilevel analysis

In this first part, of the two part multilevel workshop series, we will cover introductory topics in multilevel modeling with continuous and categorical variables.

- When multilevel analysis is necessary,
- Multilevel regression,
- Random intercepts, slopes and cross-level effects, and
- Interpreting multilevel analysis

In this second part, of the two part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables.

- Multilevel path analysis,
- Multilevel path analysis with mediation and moderation,
- Multilevel latent variable modeling,
- Analyzing longitudinal data within a multilevel framework
- A-priori and post-hoc power analysis

In this second part, of the two part multilevel workshop series, we will cover more advanced topics in multilevel modeling with continuous and categorical variables.

- Multilevel path analysis,
- Multilevel path analysis with mediation and moderation,
- Multilevel latent variable modeling,
- Analyzing longitudinal data within a multilevel framework
- A-priori and post-hoc power analysis

- Assumptions and data considerations
- Model creation, identification, and evaluation
- Multiple regression vs path analysis
- Testing mediation
- Confirmatory factor analysis

- Why Bayesian and why now
- Understanding the concepts of Bayes
- Estimating parameters using Markov Chain Monte Carlo (MCMC)
- Model fit

- Multiple regression with uninformative versus informative priors
- Mediation analysis with uninformative versus informative priors
- Path analysis with uninformative versus informative priors

- Model creation, identification, and evaluation
- Testing moderation, mediation and moderated mediation,
- Multiple group modeling
- Handling missing data
- Power analysis for a-priori sample size estimation.

- When multilevel analysis is necessary,
- Multilevel regression,
- Random intercepts, slopes and cross-level effects, and
- Interpreting multilevel analysis

- Multilevel path analysis,
- Multilevel path analysis with mediation and moderation,
- Multilevel latent variable modeling,
- Analyzing longitudinal data within a multilevel framework
- A-priori and post-hoc power analysis

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January 18, 2021

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