Research Sampling (PRP009)
Categories: PhD Research Courses
About Course
This microlearning course provides overview of research sampling as part of PhD research. You will be introduced various basic concepts, types and examples of research sampling. The overview presented in this course is subject agnostic. The course is recommended for aspiring PhD students.
Course Content
Course Instructions
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Course Instructions
00:00
Research Sampling
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Sampling Basics
02:56 -
Significance Of Sampling
03:50 -
Population Size
03:24 -
Unknown Population
03:24 -
Infinite Population
02:52 -
Accessible Population
03:24 -
Sampling From Small Population
03:55 -
Sampling Frame
03:05 -
Sampling Unit
03:36 -
Sampling Frame Vs Sampling Unit
00:00 -
Sample Size Formula
00:00 -
Sampling Design
04:24 -
Common Mistakes To Avoid
04:27 -
Sampling Examples
02:41
Sampling Methods
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Sampling Methods
02:56 -
Random Sampling
03:01 -
When To Use Probability Sampling
02:58 -
Examples Of Probability Sampling
02:27 -
When To Use Non-Probability Sampling
03:09 -
Examples Of Non-Probability Sampling
02:18 -
Limitations Of Non-Probability Sampling
03:31 -
Mixed Sampling Methods
03:02 -
Choice Of Sampling Method
04:39 -
Examples Of Different Sampling Methods
02:43
Practical Issues
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Ethics In Sampling
04:23 -
Sampling Practical Considerations
04:39 -
Representativeness In Sampling
04:00 -
Subjectivity In Sampling
03:01 -
Sampling Errors
02:58 -
Bias In Sampling
04:12 -
Overcoming Errors And Bias
04:13 -
Confidence In Sampling
03:42
