Structural Equation Model Expert in Jamovi for Data Analysis
Budget: $30 – $250 USD
I am conducting research using a survey data and need expert assistance with Structural Equation Modelling (SEM) in Jamovi. The primary focus of this project is on data analysis interpretation and reporting (no restriction on characters or style)
Ideal skills for this project:
- Proficiency in using Jamovi software
- Expertise in Structural Equation Modelling and hypothesis testing , covariances
- Strong background in handling and interpreting survey data
- Experience in research and report findings
The freelancer should help me to analyze the survey data using SEM, suggesting adjustments to improve validity and reliability, interpret the results, and provide insights that can enhance the understanding of the data.
The analysis is needed to be conducted and interpreted:
1. Factor Analysis (Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA): To validate the measurement model and assess construct validity)
2. Model fit evaluation using indices such as χ²/df, RMSEA, SRMR, CFI, TLI, and NFI- how to improve
3. Path analysis to examine causal relationships
4. Estimation of direct and indirect effects.
5. Assessment of model fit using SEM fit indices.
6. Hypothesis Testing
8. Moderation Analysis
7.Reliability and Validity Checks (Cronbach’s Alpha and Composite Reliability (CR) for internal consistency.)
8.Average Variance Extracted (AVE) for convergent validity.
9.Discriminant validity tests to ensure constructs are distinct.
10. Multicollinearity Checks, Variance Inflation Factor (VIF) to check for potential multicollinearity issues.
Ideal skills for this project:
- Proficiency in using Jamovi software
- Expertise in Structural Equation Modelling and hypothesis testing , covariances
- Strong background in handling and interpreting survey data
- Experience in research and report findings
The freelancer should help me to analyze the survey data using SEM, suggesting adjustments to improve validity and reliability, interpret the results, and provide insights that can enhance the understanding of the data.
The analysis is needed to be conducted and interpreted:
1. Factor Analysis (Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA): To validate the measurement model and assess construct validity)
2. Model fit evaluation using indices such as χ²/df, RMSEA, SRMR, CFI, TLI, and NFI- how to improve
3. Path analysis to examine causal relationships
4. Estimation of direct and indirect effects.
5. Assessment of model fit using SEM fit indices.
6. Hypothesis Testing
8. Moderation Analysis
7.Reliability and Validity Checks (Cronbach’s Alpha and Composite Reliability (CR) for internal consistency.)
8.Average Variance Extracted (AVE) for convergent validity.
9.Discriminant validity tests to ensure constructs are distinct.
10. Multicollinearity Checks, Variance Inflation Factor (VIF) to check for potential multicollinearity issues.
Related categories:
Statistics
Finite Element Analysis
Analytics
Statistical Analysis
SPSS Statistics