Session 9 Flashcards

1
Q

how do you know something is a public health issue

A

affects people in large numbers

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2
Q

what kinds of reasoning are used in public health

A
  • inductive
  • deductive
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3
Q

explain the flow in inductive reasoning

A
  • observations
  • patterns
  • hypothesis
  • theory
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4
Q

explain the flow in deductive reasoning

A
  • theory
  • hypothesis
  • observations
  • confirmation
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5
Q

define qualitative data

A
  • descriptive
  • observable characteristics
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6
Q

examples of qualitative data

A
  • gender
  • race
  • ethnicity
  • education level
  • major
  • dog coat color
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7
Q

define quantitative data

A
  • numerical
  • measures or counts
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8
Q

examples of quantitative data

A
  • age
  • income
  • date of birth
  • grades
  • hours of sleep
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9
Q

what are the three types of categorical data

A
  • binomial
  • nominal
  • ordinal
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10
Q

define binomial data

A
  • categorical
  • includes two categories
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11
Q

examples of binomial data

A
  • true or false
  • yes or no
  • do you live on campus or off campus
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12
Q

define nominal data

A
  • categorical
  • categories that do not have implicit rank or order
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13
Q

examples of nominal data

A
  • eye color
  • city name
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14
Q

define ordinal data

A
  • categorical
  • categories that do have implicit rank or order
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15
Q

examples of ordinal data

A
  • education level
  • level of agreement (strongly disagree to strongly agree)
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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
Q

why is data important in public health

A
  • define problems
  • foundation for public policy
  • shows if interventions are working or not
26
Q

define epidemiology

A
  • study and analysis of distribution and determinants of health-related events
  • application of study to control disease and other health problems