Data Collection (PRP010)
Categories: PhD Research Courses
About Course
This microlearning course provides overview of data collection as part of PhD research. You will be introduced various basic concepts, types and examples of data collection. 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
01:04
Data Collection
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Data Collection Overview
04:24 -
Meaning of Data
02:34 -
Importance of Data
03:51 -
Data Types
02:40 -
Selecting Data Collection Method
04:18 -
Surveys And Questionnaires
04:22 -
Interviews Data Collection Method
05:08 -
Observations Data Collection Method
04:34 -
Document Analysis Data Collection
04:47 -
Experiments For Data Collection
04:21 -
Focus Groups For Data Collection
04:13 -
Case Studies For Data Collection
04:03 -
Content Analysis
02:53 -
Sources Of Data
04:20 -
Example Primary And Secondary Data
00:00
Primary Data
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Primary Data
04:06 -
Primary Data Collection Methods
04:17 -
Strategies For Primary Data
03:57 -
Obtaining Reliable Primary Data
03:57 -
Face-To-Face And Online Data Collection
00:00 -
Ethnographic Fieldwork Data Collection
03:41 -
Delphi Technique
02:59 -
In-Depth Interviews
03:18 -
Projective Techniques
03:29 -
Proofs Of Primary Data Collection
04:15 -
Consent Before Primary Data
03:46 -
Challenges During Primary Data Collection
03:20 -
Overcoming The Challenges
03:53
Secondary Data
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Secondary Data
03:13 -
How To Use Secondary Data
03:51 -
Valid Secondary Data Sources
03:51 -
Recency Of Secondary Data Sources
02:55 -
Inconsistencies Between Secondary Data
03:03 -
Paying For Secondary Data
02:28 -
Challenges In Secondary Data Collection
03:53 -
Evaluating The Quality Of Secondary Data
03:55
