| Code of Research for Academics: Introduction & Insight into Statistics |
| This online training course offered by Halbert Education & Training, and written by UK academics, is aimed at those interested in statistics. The online delivery method allows materials to be taken at a pace defined by the candidate towards achieving a certificate approved by the Publication Integrity & Ethics (π) and continuous professional development (CPD) of 20 points for undergraduates, postgraduates and all professionals. Areas including basic principles of statistics, application of statistics in research and power calculations will be discussed as part of this course along with up-to-date case studies and procedures in case of research misconduct through statistics. |
| Aims of the course |
To improve knowledge and understanding of the basis of statistics in academia.
To understand how the use of statistics by individuals and organisations has developed.
To appreciate the scope of statistics in relation to academia and science and how to apply it.
To evaluate the impact of a “misconduct” in research statistics.
To recognise the “special considerations” that arises in relation to research statistics.
To support the candidates’ abilities as independent learners. |
| Accreditation |
The Publication Integrity & Ethics Sub-Committee of Education has approved this training course (approval code UKHA0199) and granted 20 CPD points.
The P.I.E.’s Sub-Committee of Education monitors the course regularly, including the candidates' feedback. |
| Target audience |
The educational opportunities in this course provide a tailored learning experience targeted at the diverse needs and interests of individuals with backgrounds in Agriculture sciences, Arts and Humanities, Business, Economy and Management, Chemistry, Earth sciences, Engineering, Environmental sciences, Health sciences, Information technology, Law, Library and Information sciences, Life sciences, Material sciences, Mathematical sciences, Physics, Social sciences and Telecommunications technology.
We support flexible approaches with the understanding that many of our candidates have work and family commitments. All you require is a commitment of around 5 hours per week (for 4 weeks) and an appropriate access to a networked computer. |
| Course format |
The format of this full online course includes:
> Pre-course exercise (to test your knowledge and gives you an insight into the subject).
> Course materials (case study, introduction and history, literature review and renowned cases).
> Pre-assessment exercises (to test and consolidate your knowledge prior to the assessment).
> Course assessment (3-part online assessment, 10 questions per part).
> Feedback and certification (the certificate is issued when the online assessment is passed and feedback on the course is given). |
| Course Content |
The course materials are downloadable and written in English (UK). The exercises, assessment and certification are easily accessed online and compatible with the commonly used browsers.
This online distance learning programme integrates the various issues related to statistics in all academic disciplines. Candidates will have access to first-rate resources and become part of a helpful online community. Dedicated technical and academic support is available throughout your study from our e-learning specialists. |
| Assessment and certification |
| The assessment is 3-part and in MCQ format. The questions are developed to ensure basic (not advanced) understanding of the subject. Part 1 has to be attempted and passed before the candidate can attempt part 2, and so on. When part 3 is attempted and passed, then the course is completed and the certificate can be issued. One re-sit is allowed for every part of the assessment. If the candidate fails the re-sit, access to the course will be terminated and no certificate will be issued. Appeals are allowed. |
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Fee: £ 20 |
Apply now |
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