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 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.
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
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 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 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.
