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For your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise; 1. Proposal development including study design and sampling; 2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs; 3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data; 4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis); 5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis); 6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis; 7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results 8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests; 9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs); 10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation; 11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time for analysis, interpretation and write up: In a space of 5 days; 12. If you need to self-tutor STATA, you can get a STATA version 15-30-day trial on https://www.stata.com/customer-service/evaluate-stata/ 072 3548043

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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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In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for more https://www.linkedin.com/in/christopher-manyamba-04490713/ http://oasis.col.org/handle/11599/3934?show=full https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index https://researchspace.ukzn.ac.za/handle/10413/8822 1. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues) 2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs; 3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data; 4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis); 5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis); 6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis; 7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results 8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests; 9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs); 10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation; 11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trial Whattsapp 0732177216

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"pool table service" in KwaZulu-Natal

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Results for pool table service in "pool table service" in KwaZulu-Natal in KwaZulu-Natal