SEM Analysis and Data Interpretation
Budget: $80 – $250 USD
I need assistance with running structural equation modeling (SEM) and other SPSS tests. The final deliverable should include results and analysis paragraphs, totaling four to five pages.
Key Requirements:
- Run SEM modeling
- Provide results and analysis paragraphs and Focus on model fit indices
- Do Sample size determination [Harris's rule (1985), Green rule (1991)]; Response rate, missing data (imputation), data outliers (z-scores; Winsorizing) and skewness/kurtosis
- Do Non-response bias, common method bias (Harman’s single-factor test), omitted variable bias (Wald test or proxies/instruments), goodness of fit (adj R2, AIC criterion), specification error/functional form (Ramsey RESET), etc.
- Do Descriptive statistics; Reliability analysis; Pairwise correlations (1-tailed or 2-tailed based on hypotheses wording)
- Do Validity checks:
Convergent validity:
Average Variance Extracted (AVE) ≥ 0.50 and Factor loadings ≥ 0.70 (acceptable ≥ 0.60)
- Do Discriminant validity:
Fornell–Larcker criterion and HTMT ratio (< 0.85 or 0.90)
- Do Path significance (e.g. coefficients), effect size tests (e.g. Rsq) and predictive relevance tests (e.g. Q² (Stone–Geisser) > 0)
- Moderation and mediation results
Ideal Skills and Experience:
- Proficiency in SEM and SPSS
- Strong data analysis software skills
- Interpretation and academic writing expertise
Key Requirements:
- Run SEM modeling
- Provide results and analysis paragraphs and Focus on model fit indices
- Do Sample size determination [Harris's rule (1985), Green rule (1991)]; Response rate, missing data (imputation), data outliers (z-scores; Winsorizing) and skewness/kurtosis
- Do Non-response bias, common method bias (Harman’s single-factor test), omitted variable bias (Wald test or proxies/instruments), goodness of fit (adj R2, AIC criterion), specification error/functional form (Ramsey RESET), etc.
- Do Descriptive statistics; Reliability analysis; Pairwise correlations (1-tailed or 2-tailed based on hypotheses wording)
- Do Validity checks:
Convergent validity:
Average Variance Extracted (AVE) ≥ 0.50 and Factor loadings ≥ 0.70 (acceptable ≥ 0.60)
- Do Discriminant validity:
Fornell–Larcker criterion and HTMT ratio (< 0.85 or 0.90)
- Do Path significance (e.g. coefficients), effect size tests (e.g. Rsq) and predictive relevance tests (e.g. Q² (Stone–Geisser) > 0)
- Moderation and mediation results
Ideal Skills and Experience:
- Proficiency in SEM and SPSS
- Strong data analysis software skills
- Interpretation and academic writing expertise