Research Methods and Statistics: An Introduction
Original price was: $84.99.$14.99Current price is: $14.99.
What you’ll learn
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Choose the right research method
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Choose the right statistical technique to be used with the research method
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Understand when to apply which statistical procedure
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Evaluate, infer, and understand a product, situation, services, or a treatment option through statistics
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Interpret statistical literature, research articles, and the claims made on the basis of statistics
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Make informed choices with respect to methodology and research design
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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.
12 reviews for Research Methods and Statistics: An Introduction
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Original price was: $84.99.$14.99Current price is: $14.99.
Olusola Adeyelu –
Easy to follow
Matthew Wisniewski –
Excellent introduction to the topics covered. I would have appreciated more practice materials.
Ngaihawma –
no in-depth explanation. This course is no different than a person reading you textbook lessons without elaborating properly of what they are.
Robert Turley –
Very good course! Could be either prep for undergraduate or an excellent revision tool in the break after year 1!
Mike Twum Asante –
Clear and practical examples are given. And a good step by step way of teaching helps alot.
Tiffany M –
This has been a helpful walkthrough so far. It started from a more rudimentary place than I’d expected, but the foundation has been helpful to build on as we get to more advanced material, which is exactly what I needed.
Robert Burwise –
I am not done yet. I did, however, pick up two errors in the material….
Chantel Rhodes –
Repeated use of gender as a binary only example is annoying. The lectures are all just slides with voiced lecture. They put me to sleep.
Saraí Estacio –
More examples would be nice
Alexa Sage –
GReat knowledge and structure – just wish the sound had less background noise!
LDSPhoenix –
A reasonably good match for me; however, I would have liked the Parametric Test sections to have been more informative and detailed in examples of the nature and methodologies of the tests. The course mainly follows relatively dry slide presentations, making taking in complex information such as statistics and testing methodologies quite challenging to obtain the knowledge and recall it. Best studied in short chunks, with a slightly turned ear to the mispronunciations of several key English words. That being said, the content is generally very good.
Zainab Abalkhail –
oversimplification and diagrams. and simple definitions as well as examples are great