Research Methods and Statistics: An Introduction
Learn the fundamentals of research methodology and statistical reasoning in this comprehensive course. Suitable for students, professionals, and researchers, this course covers topics from variables to two-way ANOVA. Gain the skills to interpret statistical literature, make informed choices in research design, and apply statistical analysis to your data. No prior knowledge required.
What you’ll learn
- Choose the right research method
- Choose the right statistical technique to be used with the research method
- Understand when to apply which statistical procedure
- Evaluate, infer, and understand a product, situation, services, or a treatment option through statistics
- Interpret statistical literature, research articles, and the claims made on the basis of statistics
- Make informed choices with respect to methodology and research design
- Apply this knowledge by conducting sound research in Psychology
The Research Methodology and Statistical Reasoning Course includes topics ranging from what is a variable to, where can one use a two-way ANOVA. Statistics are widely used in social sciences, business, and daily life. Given the pervasive use of statistics, this course aims to train participants in the rationale underlying the use of statistics. This course aims to explain when to apply which statistical procedure, the concepts that govern these procedures, common errors when using statistics, and how to get the best analysis out of your data. Research methodology is used a base to explain statistical reasoning. The course also familiarises you with commonly used software for statistical analysis. The course will take 11 hours to complete, including one contact hour with the course instructor after completion of the workshop. The course is divided into 11 broad sections, which include 59 lectures and 21 quizzes. Participants would benefit from the course because understanding basic research methodology and statistics is essential prior to taking up any research-related endeavour. It is also an important part of the college curriculum from undergraduate to PhD levels. Designing research methods requires knowledge about various methods and understanding data. The comprehensive nature of the course ensures that students and professionals are not only able to understand, but also apply the course content. The course not only includes course content, but instructors that are approachable after completing it, who will provide feedback and address your specific needs.
Who this course is for:
- This Research Methodology and Statistical Reasoning Course is meant for Undergraduate students, Postgraduate students, MPhil students, PhD students, Professionals and Faculty pursuing research or practice. No prior knowledge of research methods is required. Any person with basic understanding and interest in research and statistics is welcome to attend.
- If you have advanced training in research methods and statistics, this course may not be applicable to your needs.
