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I will quantitative data analysis and interpretation using smartpls
DrLal
I am Dr. Lal Associate Professor in Finance having more than 12 years of experience in Data Analysis, Business Analysis, Recruitment and Selection, Research Article /Thesis writing.
À propos de ce service
Need professional, publication-grade statistical analysis and clear interpretation of your research data?
I provide end-to-end quantitative data analysis using industry-standard statistical software, specializing in structural equation modeling (SEM), multivariate statistics, and econometric time-series or panel data modeling. Every delivery includes clean output files, properly formatted tables (APA style), and detailed methodological reporting.
What I Offer by Software:
- SmartPLS (PLS-SEM): Measurement model evaluation (indicator reliability, Cronbach's alpha, CR, AVE, HTMT, Fornell-Larcker), structural model assessment (R^2, f^2, Q^2), bootstrapping, mediation, moderation, and multigroup analysis (MGA).
- ADANCO (CB-SEM / PLS): Composite-based structural equation modeling, Dijkstra-Henseler rho_A, confirmatory composite analysis, path modeling, and goodness-of-fit evaluation.
- SPSS: Data screening and cleaning, normality/outlier testing, descriptive statistics, exploratory factor analysis (EFA), reliability analysis, independent t-tests, ANOVA/MANOVA, correlation, multiple linear/logistic regression, and PROCESS macro models.
FAQ
Which software should I choose for my model?
For survey data assessing composite constructs or predictive paths, SmartPLS or ADANCO is ideal. For standard hypothesis testing, ANOVA, or EFA, SPSS is standard. If your data involves financial metrics, stock prices, exchange rates, or longitudinal panel data, EViews is the recommended tool.
Can you help if my model encounters validity or fit issues?
Yes. I diagnose common empirical issues such as multicollinearity (high VIF), poor factor loadings, cross-loadings, lack of discriminant validity, or non-stationarity, and provide standard methodological remedies.
What do I need to provide before ordering?
Please provide your raw data file (Excel, CSV, or SAV), your conceptual framework or hypotheses, and any specific institutional guidelines you must adhere to.
