n Primary data – data you collect
–
Example
:
·
Surveys
·
Focus groups
·
Questionnaires
·
Personal interviews
·
Experiments and observational study
n Secondary data – data someone else has collected
–
Example
:
·
County health departments
·
Vital Statistics – birth, death certificates
·
Hospital, clinic, school nurse records
·
Private and foundation databases
·
City and county governments
n
Qualitative Data - Can be separated into different
categories that are distinguished by some nonnumeric characteristics
•
Deals with descriptions.
•
Data can be observed but not measured.
•
Colors, textures, smells, tastes, appearance, beauty,
etc.
•
Qualitative → Quality
n
Quantitative Data - Numbers
representing counts or measurements
•
Deals with numbers.
•
Data which can be measured.
•
Length, height, area, volume, weight, speed, time,
temperature, humidity, sound levels, cost, members, ages, etc.
•
Quantitative → Quantity
Example 1: Oil Painting
Qualitative data:
·
red/green color, gold frame
·
smells old and musty
·
texture shows brush strokes of oil paint
·
peaceful scene of the country
·
masterful brush strokes
|
Example 1: Oil Painting
Quantitative data:
·
picture is 10" by 14”
·
with frame 14" by 18”
·
weighs 8.5 pounds
·
surface area of painting is 140 sq. in.
·
cost $300
|
Example 2: Latte
Qualitative data:
*robust aroma
*frothy appearance
* strong taste
*glass cup
|
Example 2: Latte
Quantitative data:
*12 ounces of latte
*serving temperature 1500 F.
*serving cup 7 inches in height
*cost $4.95
|
Example 3: Freshman Class
Qualitative data:
*friendly demeanors
*civic minded
*environmentalists
*positive school spirit
|
Example 3: Freshman Class
Quantitative data:
*672 students
*394 girls, 278 boys
*68% on honor roll
*150 students accelerated in mathematics
|
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