Smart PLS
Budget: $10 – $30 USD
We are seeking an expert in the smart PLS tool to help us with our data analysis project. The ideal candidate will have a deep understanding of the tool and its functionalities. The main responsibilities include implementing the smart PLS tool for our research project, conducting data analysis, and interpreting the results. The candidate should be proficient in statistical analysis and have experience in working with limited dataset 87 row. Strong attention to detail and the ability to work independently are essential skills for this role.
Test:
1- Descriptive statistics = Standard Deviation (S.D) + Mean + Alpha Value + Probability Value (p-value) + Average Variance Extracted (AVE) and Composite Reliability (CR) +sig + estimation of goodness-of-fit.
2-partial least squares-structural equation modeling
SEM is a combination of two statistical methods: confirmatory factor analysis and path analysis.
• Confirmatory Factor Analysis (CFA) is a statistical technique used to verify the factor structure of a set of observed variables. CFA allows the researcher to test the hypothesis that a relationship between observed variables and their underlying latent constructs exists.
3-ANOVA.
4-Regression Analysis.
Test:
1- Descriptive statistics = Standard Deviation (S.D) + Mean + Alpha Value + Probability Value (p-value) + Average Variance Extracted (AVE) and Composite Reliability (CR) +sig + estimation of goodness-of-fit.
2-partial least squares-structural equation modeling
SEM is a combination of two statistical methods: confirmatory factor analysis and path analysis.
• Confirmatory Factor Analysis (CFA) is a statistical technique used to verify the factor structure of a set of observed variables. CFA allows the researcher to test the hypothesis that a relationship between observed variables and their underlying latent constructs exists.
3-ANOVA.
4-Regression Analysis.