Session 9 Flashcards
(26 cards)
1
Q
how do you know something is a public health issue
A
affects people in large numbers
2
Q
what kinds of reasoning are used in public health
A
- inductive
- deductive
3
Q
explain the flow in inductive reasoning
A
- observations
- patterns
- hypothesis
- theory
4
Q
explain the flow in deductive reasoning
A
- theory
- hypothesis
- observations
- confirmation
5
Q
define qualitative data
A
- descriptive
- observable characteristics
6
Q
examples of qualitative data
A
- gender
- race
- ethnicity
- education level
- major
- dog coat color
7
Q
define quantitative data
A
- numerical
- measures or counts
8
Q
examples of quantitative data
A
- age
- income
- date of birth
- grades
- hours of sleep
9
Q
what are the three types of categorical data
A
- binomial
- nominal
- ordinal
10
Q
define binomial data
A
- categorical
- includes two categories
11
Q
examples of binomial data
A
- true or false
- yes or no
- do you live on campus or off campus
12
Q
define nominal data
A
- categorical
- categories that do not have implicit rank or order
13
Q
examples of nominal data
A
- eye color
- city name
14
Q
define ordinal data
A
- categorical
- categories that do have implicit rank or order
15
Q
examples of ordinal data
A
- education level
- level of agreement (strongly disagree to strongly agree)
16
Q
what are the two types of numerical data
A
- discrete
- continuous
17
Q
define discrete data
A
- numerical
- specific value or count
- whole numbers
18
Q
examples of discrete data
A
- number of people
- zip code
19
Q
define continuous data
A
- numerical
- value within a range
- does not have to be a whole number
20
Q
examples of continuous data
A
- age
- weight
- temperature
- height
- grades
- time
21
Q
what are three ways you can evaluate data
A
- accuracy
- precision
- reliability
22
Q
define accuracy
A
- how close measurements are to the true value
23
Q
define precision
A
- how close measurements are to each other
24
Q
define reliability
A
- repeatability: getting same outcome when same operator measures the same thing multiple times
- reproducibility: getting same outcome when different operator measures the same thing multiple times
25
why is data important in public health
- define problems
- foundation for public policy
- shows if interventions are working or not
26
define epidemiology
- study and analysis of distribution and determinants of health-related events
- application of study to control disease and other health problems
