In this slideshare I’m going to show you all the different types of survey you will come across as a data analyst – and the one thing you need to know! You can get these tips in my video course *How to Analyse Categorical Survey Data in Excel and in R* here: http://bit.ly/HACSDERSS Here’s a quick rundown of what you’re going to learn: Step 1: you’ll learn about the different types of survey that all analysts need to know. Step 2: you’ll learn why they’re different and when to use each one. Step 3: you’ll learn why they’re all the same to a data analyst! In the end, you’ll have a strong understanding of the different types of surveys so you can plan every aspect of your next study to make it completely disaster-proof. #survey #surveyanalysis #statistics ---------------------------------------------------------------------------------------------- Follow me on YouTube for more stats and machine learning hints & tips ---------------------------------------------------------------------------------------------- ▸ https://www.youtube.com/channel/UC8pp1dYKKjQrJ8MOW2_53DA ------------------------ Related Resources ------------------------ Probability Theory – 5 Awesome Things You Didn't Know (FREE): ▸ https://www.chi2innovations.com/5-awesome-things-you-didnt-know-about-probability-theory-video/ Probability Theory Quiz – Test Your Knowledge (FREE): ▸ https://www.chi2innovations.com/probability-theory-quiz-test-your-knowledge/ Statistics – The Big Picture (Video Course - Start FREE) ▸ http://bit.ly/HACSDERSS ------------------------------------------------- Find me on TwitFace (and elsewhere) ------------------------------------------------- Facebook: https://www.facebook.com/chi2innovations/ Twitter: https://twitter.com/eelrekab LinkedIn: http://www.linkedin.com/in/eelrekab Pinterest: https://www.pinterest.co.uk/baker7435 Blog: https://www.chi2innovations.com/blog/ The Hive: https://www.chi2innovations.com/the-hive/ Google+: (may it rest in peace!)

1. How to Analyse a Survey:
The OneThingYou Need to Know!
Lee Baker
Chi-Squared Innovations
lee.baker@chi2innovations.com

2. Survey
 A survey is a research method used for
collecting data to gain information and insights
on a particular topic of interest

3. 2Types of Survey
Survey
Cross-Sectional Longitudinal

4. Cross-Sectional Survey
 Used to study a topic of interest at a specific
point in time
› We use these studies to get a quick & cheap
summary

5. Cross-Sectional Survey – Example
 Do you have lung cancer?
› Yes
› No

6. Yes No
Men 10 50
Women 15 25
0
10
20
30
40
50
60
%
Descriptive
stats

7. Longitudinal Survey
 Used to study a topic of interest over a period of
time
› We use these studies to examine cause and effect

8. Cause Effect
 For how long have you
smoked?
› Non-smoker
› Less than 10 years
› More than 10 years
 Do you have lung
cancer?
› Yes
› No

9. 0
5
10
15
20
25
30
35
Never Smoked < 10Years > 10Years
Lung Cancer Linear (Lung Cancer)
A trend!

10. 2Types of Longitudinal Survey
Longitudinal
Case Control Cohort

11. Case Control Survey
Outcome
Present
Outcome
Not Present
Compare
Case Control
Outcome:
• Disease
• Sale
•Opinion

12. Outcome
Present
Cause
Present
Cause
Not Present
Outcome
Not Present
Cause
Present
Cause
Not Present
Compare
Time

13. Cohort Survey
Cause
Present
Cause
Not Present
Compare
Case Control
Cause:
• Smoking
• Product placement
•Advert

14. Cause
Present
Outcome
Present
Outcome
Not Present
Cause
Not Present
Outcome
Present
Outcome
Not Present
Compare
Time

15. 2Types of Cohort Survey
Cohort
Retrospective Prospective

16. Retrospective Survey
 Check back into existing records to investigate
cause & effect
› Looking backwards into the past

17. Prospective Survey
 Investigate cause and effect over time
› Looking forwards into the future

18. DifferentTypes of Survey
Survey
Cross-Sectional
(summary)
Longitudinal
(cause & effect)
Case Control
(cause)
Cohort
(effect)
Retrospective
(past)
Prospective
(future)

19. Most Importantly !!!
 Whatever type of survey you’re conducting
› The way you analyse them all is EXACTLY the same
 Same types of data
 Same descriptive statistics
 Same data analysis techniques
 Same statistical tests

20. Thank You
Get more kick ass data ninja skills here:
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