More information about the course

  • For WHO?

    Aimed at Masters and PhD students conducting quantitative research using a questionnaire as research instrument.

  • WHY?

    “To consult the statistician after an experiment is finished, is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” This quote is from the statistician R.A. Fisher


    Are the constructs in your questionnaire valid and reliable? Is the sample large enough for analysis? Will you be able to test the hypotheses? What statistical techniques will you use?


    The critical steps in the quantitative research process will be considered to ensure that the research approach, research design, questionnaire and sampling are correct to be able to do the analyses. An example PhD is used throughout the course.


    A research proposal that is statistically correct. A Quantitative research design(questionnaire and sample) that is correctly done. Knowledge of the full quantitative research process. Statistical analyses techniques to test the research hypotheses.


    Checklists for each of the steps in the research process. A cheatsheet on how to do some analyses on SPSS, a statistical package. A lesson on Survey Monkey to put the questionnaire online.


  • You will be aware of the pitfalls in quantitative research and not make the same errors as other students

  • You will save time

  • You get all the necessary information in one place

  • You now know how to conduct quantitative research with a questionnaire as instrument with valid and reliable constructs

  • You get knowledge from a Statistician with more than 18 years of consulting experience working with students and lecturers

  • You get knowledge from workshops that was developed at various Universities

  • Questions can be asked or comments given for most video lessons to receive feedback

Course curriculum

  • 1

    Welcome to the course!

    • A message from the instructor

    • Onboarding lesson

    • How to use the course player

    • In a hurry?

    • Download Powerpoint files off all video lessons

    • Credits for material used in this course

    • List of references

    • Before we begin...

  • 2

    Chapter #1 The research process

  • 3

    Chapter #2 Problem Discovery

    • Problem discovery: Introduction

    • Problem discovery: 1 Research Problem

    • Problem discovery: 2 Research Questions

    • Problem discovery: 3 Research Hypotheses

    • ABC study example: 4 Problem discovery

    • Problem discovery: 5 CONCLUSIONS

    • Test your learning: Problem discovery

  • 4

    Chapter #3 Research Design

    • Research design: 1 Introduction

    • Research design: 2 Approaches

    • Research design: 3 Goal

    • Research design: 4 Type of design

    • Research design: 5 Experiments

    • ABC study example: 6 Research design

    • Research design: 7 CONCLUSIONS

    • Test your learning: Research Design

  • 5

    Chapter #4 Research Instrument

    • Research instrument: 1 Introduction

    • Research instrument: 2 Structure

    • Research instrument: 3 General tips

    • Research instrument: 4A Construct validation

    • Research instrument: 4B Construct validation

    • Research instrument: 5A Reliability

    • Research instrument: 5B Reliability

    • Research instrument: 6 Scale construction

    • Research instrument: 7 Choose a valid scale

    • Research instrument: 8 Pilot

    • ABC study example: 9 The research instrument

    • Research instrument: 10 CONCLUSIONS

    • Test your learning: The research instrument

  • 6

    Chapter #5 Sampling

    • Sampling: 1 Introduction

    • Sampling: 2 Generalization

    • Sampling: 3 Probability and nonprobability methods

    • Sampling: 4 Probability methods

    • Sampling: 5 Non probability methods

    • Sampling: 6 Size A

    • Sampling: 6 Size B

    • ABC study example: 7 Sampling

    • Sampling: 8 CONCLUSIONS

    • Testing your learning: Sampling

  • 7

    Chapter #6 Analyses

  • 8

    Chapter #7 Research Consistency Matrix

    • 1 Research consistency matrix

    • ABC study example: 2 Research consistency matrix

    • Test your learning: The research consistency matrix

  • 9

    Chapter #8 Data Gathering

    • Data gathering: 1 Introduction

    • Data gathering: 2 Online Survey Monkey

    • ABC study example: 3 Data gathering

  • 10

    Chapter #9 Data Format

    • Data format: 1 Introduction

    • Data format: 2 CONCLUSIONS

  • 11

    Chapter #10 Conclusions

    • Conclusions from the course

    • Combined CHECKLIST for all chapters please download

  • 12

    Youtube channel and Facebook group

    • VIDEOS on the Youtube channel and Facebook group

  • 13

    Next steps

    • Congratulations! Here's what is next...

    • More resources for you

    • Before you go... Please fill in the survey

Comments from previous students:

"After completing the videos I thought I would try and put the pieces together. I wish I had this last year, it would have made a massive difference."

More information about the instructor

Check out the instructor's Linkedin profile at  

The Liminal Research Consult website where the instructor is co-owner  



Hennie Gerber

Hennie Gerber is a consulting Statistician at Liminal Research Consult and is contracted to Unisa Graduate School of Business where he serves as a consultant to the ethics committee on research methodology and quantitative analysis. Hennie has more than 20 years of consulting and lecturing experience, he also presents workshops to various Universities since 2008.