Statistical Consulting Services

Providing full-spectrum statistical consulting and data analytics globally

Our statistical consulting services include:

  • Quantitative, qualitative and mixed-methods data analysis, using appropriate software (see below)
  • Research design using an integrative Research Methods Canvas(RMC(c))
  • Designing research instruments (focus groups, surveys, experimental modelling, simulations, etc.)
  • Related training in the Research Methods Canvas(c)
  • Manuscript/dissertation review and revision
  • Data management
  • Interpreting data analysis results using RMC(c) protocols
  • Statistical programming and data analytics using SAS, R, Python, SPSS, Excel/VBA, Hadoop, and NVivo for qualitative analysis.

Our unique approach stems from detailed research and data analysis experience in different research and enterprise schools in https://www.oseluxworldhero3e.com, in which we support different kinds of advanced PhD-level research and related business development.

To make the best of the above services, you should work with us from the inception of your research ideas. This means you get strong support at the research design stage and avoid unhelpful pitfalls in your research proposal, which we can guide you on.

You’ll get support in responding to feedback from your reviewers and or supervisors.

The link between the different stages will be made seamless whilst you’re also coached on the ideas towards personal mastery of the core concepts involved.

You may request other statistical consulting services along the line.

Importantly, our research instrument design process is superb, including focus group guides, surveys or questionnaires, face-to-face and online.

We ensure that the questionnaire items duly explore the intended research questions, without overwhelming the respondents.

For more details on any of these aspects, contact us as stated below.

Enquiries

For more details, please contact us at:

Email:  info@oseluxworldhero3e.com or through Tel. no:  +447772632150 to speak to the Director of Research and Enterprise Development, Dr Patrick Oseloka EZEPUE