Statistical test advisor (an online tool)
Duration 0.5 days
Training Units 1.0
Team Researcher Academy

This online course is delivered by the Researcher Academy

The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.

Target audience: all postgraduate research students (especially off campus) and early career researchers.

Statistical test adviser is an interactive and user-friendly online statistics tool that has been designed to help you find a suitable statistical method for your research and then help you perform the analysis in SPSS. If you are familiar with the basics of data collection and analysis and are looking for information about statistical methods then this is the course for you.

Description:

This course will help you to select and perform the most appropriate statistical test for your research. In addition, by using the statistical test adviser, you become familiar with basic themes in data analysis. By browsing through the material, you will find how selecting the proper statistical test is dependent on both your research questions and the type of data that you need to evaluate.

After helping you find the analysis method, the statistical test adviser gives very clear explanations that enable you to perform the basic analyses using the popular statistical software 'SPSS'.

Statistical test adviser deals with essential techniques and basic, standard analyses but does assume some familiarity with basic statistical concepts and principles. If you are completely new to data collection and analysis, you may need to become more familiar with the basic principles of this subject before you will benefit much from this resource.

Aims/ Objectives:

The aim of this course is to support you to identify and perform a statistical test appropriate for your research.

After working through the statistical test adviser, you will be able to:

  • Explain the essential differences between different types of data commonly analysed in research projects
  • Identify the assumptions associated with each statistical technique, and decide whether a given analysis should be done using parametric or non-parametric techniques
  • Combine knowledge of the properties of the data and the analysis methods covered to be able to determine which statistical method(s) are most appropriate to use in a given research project
  • Analyse various common types of data using a range of basic, standard statistical techniques, to address specific research questions quantitatively and rigorously

Process:

If you are not familiar with the basics of statistics, you are strongly advised to work your way through:
Statistics: An Intuitive Introduction before completing this course.

This is a standalone (self-study) online course.This course is delivered entirely online via Moodle and is self-study. You may access the course as often as you like until the end of the academic year. If you would like to gain Researcher Academy training point/s for this course you must complete the short assessment tasks associated with it. Completion of the assessment is optional for students based at our UK and Malaysia Campus'. Students based at our Ningbo China Campus are not required to complete the assessment.

Researchers across all 3 campuses can self-enrol on this course in Moodle by following this link:

https://moodle.nottingham.ac.uk/course/view.php?id=97931

Related Courses:

Booking Conditions

Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.  

Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate. 

Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.    

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