SEM Analysis and Data Interpretation

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

Project ID: 40411483