Wowos Club

Innocent Junior Mangany: 

1. The Impact of AI on Information Technology and Computer Science Curriculum Design: Evolving Pedagogy and Assessment Strategies

Ntumeleng Nkosi: 

1. Career pathways and institutional barriers for university professional staff in higher education

1. Determine if a Source Is Scholarly; 
2. Selecting the Best Information Source; 

1. Writing Assignments; 
2. Academic Writing; 

1. How to write a problem statement; 

1. Primary vs Secondary Data; 
2. Internal vs External Data; 
3. What is Big Data Analytics? 
4. 5 Steps of a Data Science Project Lifecycle; 

Citation: Scribbr. (2021). Research Design: Planning your Data Collection Procedures [Video]. Retrieved from www.youtube.com

Notes:

Consider these questions:

1. How will you define and measure your variables?
2. How will you ensure your measurements are reliable and valid?
3. How will you select and contact your sample?

• Reliability means consistently reproducible results.
• Validity means actually measuring the concept you are interested in.
• Reliability + Validity à Measurement materials should be thoroughly researched and carefully designed.
• All steps should be carried out in the same way for each participant.
• When developing a new instrument, you might want to do a pilot study to check validity and reliability.
• Internal validity helps you establish causality.
• External validity helps you generalise your results to other settings.
• Your data collection procedures can impact both Internal Validity and External Validity.

Sampling Plan

• How many participants do you need for an adequate sample size?
• What criteria will you use to identify eligible participants?
• How will you contact your sample?

Probability Sampling

• How will you ensure a high response rate?

Non-probability sampling

• How will you avoid bias and ensure a representative sample?

Citation: Research Tube. (2021). Types of Qualitative Data Analysis [Video]. Retrieved from www.youtube.com

1. Data Analysis Pitfalls to Watch For;