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.
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.
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
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.
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
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.
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
