Data Analysis for researchers e.g. Masters & Doctoral students (Contact Edmund - 072 446 6659)
***Please leave your contact details if you want me to contact you****
I offer data analysis for those doing research, Masters or Doctorate. I have proficiency in MS Excel, Statistica, Mathematica, R, RStudio, STATA, SPSS and SAS and capable of adapting to any other statistical software. I can assist from any of the following stages in the research cycle.
Data Requirement Specification (Decide what to measure and how to measure it) e.g. Demographics (Gender, age, race, education etc.). Dependent (response) variable; Independent (explanatory) variable(s).
Data Collection (primary or secondary)
Sampling methods (Probability sampling methods or Non-Probability Sampling Methods). Probability sampling methods (Simple random sampling, Systematic sampling, Stratified sampling or Clustered sampling). Non-Probability sampling methods (Convenience sampling, Quota sampling, Judgment (or Purposive) sampling or snowball sampling)
In case of primary data - Collection instruments (questionnaire, interviews etc.)
In case of questionnaire – questionnaire design
Data Management: Help code, merge, clean, and overall manage your quantitative or qualitative data. Item Analysis (a statistical method used to determine the contribution of each item to the measurement of the latent variable). Use Cronbach’s alpha or principal component analysis (PCA) or exploratory factor analysis (EFA).
Quantitative Data Analysis:
Descriptive Statistics - by way of summary statistics i.e. measures of central tendency (e.g. mode, median, and mean) and measures of spread (e.g. range, quartiles, absolute deviation, variance and standard deviation), tabulated description i.e. tables and graphical description.
Inferential Statistics - Making inferences about the population based on a sample
Qualitative Data Analysis: We assist in conducting qualitative data analysis by use of research techniques used to analyse textual material such as grounded theory research, content analysis, thematic analysis etc.
Discussion: Help you to interpret your results where you turn facts into meaning. Together, we can discuss the theoretical and practical implications of your findings in relation to your discipline, and in relation to existing literature. Assist in thinking through potential future research.
For assistance, please contact me on 072 446 6659 (also on WhatsApp) and email@example.com. Edmund Ahame (BSc Hons (Mathematical Statistics) with Distinction and MSc (Mathematical Statistics) Thank you