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Developmental Research 
Methods 
Topic 4: Numerical Description 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 1
Properties of Scales 
• Measuring Variables 
– Personality; IQ, etc 
• Magnitude 
– Size, Quantity 
• Equal intervals 
– Equal distance between 
points in terms of concept 
• Absolute zero 
– This is nothing. Noting of 
the property being 
measured exists. 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 2
Scales of Measurement 
• Nominal 
– Mutually exclusive 
categories 
• Ordinal 
– Order of the numbers 
mean something 
The scale you are using – determines 
what types of statistics you can do on the 
data! 
– Magnitude – but no zero 
point and no equal 
intervals 
• Interval 
– Magnitude 
– Equal intervals 
– No absolute zero 
• Ratio 
– Equal intervals and a true 
zero point and magnitude 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 3
Distributions 
Allow you to see 
how your data 
looks 
◦ Ranges or bins 
(class interval) 
◦ 10 or 20 ranges to 
cover the entire 
data set 
You can see how 
skewed the data is 
Allows you to 
decide what stat to 
use 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 4
Distributions 
Mean Alcohol Consumption by Age 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 5 
5 
4.5 
4 
3.5 
3 
2.5 
2 
1.5 
1 
0.5 
0 
5 to 
10 
11 to 
15 
16 to 
20 
21 to 
25 
26 to 
30 
31 to 
35 
36 to 
40 
Average Drinks per Week 
Age 
mean alcohol 
consumption
Distributions - Skew 
mean alcohol consumption 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 6 
6 
5 
4 
3 
2 
1 
0 
5 to 
10 
11 to 
15 
16 to 
20 
21 to 
25 
26 to 
30 
31 to 
35 
36 to 
40 
mean alcohol 
consumption
Measures of central tendency 
Mean 
Median 
◦ Insensitive to 
extreme scores 
mode 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 7
Variation 
Variability in your data 
Range 
Sum of the Squared Deviations from the 
Mean 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 8
Variance and Standard Deviation 
Variance 
Standard Deviation 
or 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 9
Standard scores 
Z score 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 10
Correlation 
Relationship between two variables 
No causation! 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 11
Positive Correlation 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 12
Negative Correlation 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 13
No correlation 
10/1/2014 CEDP321 Ryan Sain, Ph.D. 14

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Psyc 321_04 numerical description

  • 1. Developmental Research Methods Topic 4: Numerical Description 10/1/2014 CEDP321 Ryan Sain, Ph.D. 1
  • 2. Properties of Scales • Measuring Variables – Personality; IQ, etc • Magnitude – Size, Quantity • Equal intervals – Equal distance between points in terms of concept • Absolute zero – This is nothing. Noting of the property being measured exists. 10/1/2014 CEDP321 Ryan Sain, Ph.D. 2
  • 3. Scales of Measurement • Nominal – Mutually exclusive categories • Ordinal – Order of the numbers mean something The scale you are using – determines what types of statistics you can do on the data! – Magnitude – but no zero point and no equal intervals • Interval – Magnitude – Equal intervals – No absolute zero • Ratio – Equal intervals and a true zero point and magnitude 10/1/2014 CEDP321 Ryan Sain, Ph.D. 3
  • 4. Distributions Allow you to see how your data looks ◦ Ranges or bins (class interval) ◦ 10 or 20 ranges to cover the entire data set You can see how skewed the data is Allows you to decide what stat to use 10/1/2014 CEDP321 Ryan Sain, Ph.D. 4
  • 5. Distributions Mean Alcohol Consumption by Age 10/1/2014 CEDP321 Ryan Sain, Ph.D. 5 5 4.5 4 3.5 3 2.5 2 1.5 1 0.5 0 5 to 10 11 to 15 16 to 20 21 to 25 26 to 30 31 to 35 36 to 40 Average Drinks per Week Age mean alcohol consumption
  • 6. Distributions - Skew mean alcohol consumption 10/1/2014 CEDP321 Ryan Sain, Ph.D. 6 6 5 4 3 2 1 0 5 to 10 11 to 15 16 to 20 21 to 25 26 to 30 31 to 35 36 to 40 mean alcohol consumption
  • 7. Measures of central tendency Mean Median ◦ Insensitive to extreme scores mode 10/1/2014 CEDP321 Ryan Sain, Ph.D. 7
  • 8. Variation Variability in your data Range Sum of the Squared Deviations from the Mean 10/1/2014 CEDP321 Ryan Sain, Ph.D. 8
  • 9. Variance and Standard Deviation Variance Standard Deviation or 10/1/2014 CEDP321 Ryan Sain, Ph.D. 9
  • 10. Standard scores Z score 10/1/2014 CEDP321 Ryan Sain, Ph.D. 10
  • 11. Correlation Relationship between two variables No causation! 10/1/2014 CEDP321 Ryan Sain, Ph.D. 11
  • 12. Positive Correlation 10/1/2014 CEDP321 Ryan Sain, Ph.D. 12
  • 13. Negative Correlation 10/1/2014 CEDP321 Ryan Sain, Ph.D. 13
  • 14. No correlation 10/1/2014 CEDP321 Ryan Sain, Ph.D. 14