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Statistical data analysis

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City Centre, Durban City

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There is more to results presentation than clarity (although that obviously helps). What are the main conclusions you want to highlight and what are the implications?

There are probably more options for presenting your data than you realise, and many more imaginative approaches than you see in typical summary statistics.

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tendaishe Muleya

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As an experienced statistician and PhD finalist with over 15 years of expertise in quantitative analysis, I offer comprehensive services for Chapter 4/5 of your thesis or research paper. My advanced skills encompass a wide range of statistical techniques and methodologies, as outlined below:1. Proposal DevelopmentStudy Design & Sampling: Expertise in developing research proposals, including designing robust study frameworks and determining appropriate sampling methods to ensure reliable and valid results.2. Univariate AnalysisData Description: Conduct detailed analyses including frequencies, means, and standard deviations for continuous data. Proficient in creating tables and graphs for clear and effective data presentation.3. Bivariate AnalysisCorrelation Analysis: Skilled in performing pairwise correlation analyses, including Spearman’s rank correlation for non-parametric data and Pearson’s correlation for normally distributed data.4. Likert Scale Data AnalysisReliability & Normality Tests: Expertise in assessing reliability using Cronbach’s alpha, and performing normality tests such as the Wilk-Shapiro test, skewness, and kurtosis analysis.5. Hypothesis TestingParametric & Non-Parametric Tests: Experience with a range of hypothesis tests including paired t-tests for parametric data, and Wilcoxon sign-rank tests and Kruskal-Wallis tests for non-parametric data.6. Multivariate AnalysisRegression Models: Advanced skills in conducting regression analyses for ordinal, count, categorical, and binary outcomes using methods such as Ordinary Least Squares (OLS), Partial/Pooled Effects, Factor Analysis, and Principal Component Analysis.7. Pathway Analysis & Structural Equation Modeling (SEM)SEM Expertise: Proficient in SEM techniques including model specification, estimation, and interpretation of post-estimation results to explore complex relationships among variables.8. Time-Series & Econometric ModelsAdvanced Econometrics: Expertise in time-series analysis and econometric models including ARCH, ARDL, stationarity tests, VAR, VEC, and Granger causality tests.9. Survival AnalysisEpidemiological Modeling: Skilled in survival analysis techniques including setting up data for survival analysis, calculating prevalence and incidence rates, and applying Cox proportional hazards regression and Kaplan-Meier survival functions.10. Multicollinearity & Endogeneity ChecksPre-Model Testing: Experienced in checking for multicollinearity using Variance Inflation Factor (VIF) in STATA, and assessing endogeneity issues to ensure the robustness of regression models.For professional support and consultation in quantitative analysis and modeling for your research needs, feel free to contact me at 0732177216.

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Chris Manyamba

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