week 1: introduction to measurement (IA & IB) Flashcards

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1
Q

what are the two different types of variables?

A
  • numeric
  • categorical
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2
Q

what is a numeric variable?

A

describes a measurable quantity

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3
Q

what is a categorical variable?

A

sorted to categories based on qualitative description

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4
Q

what are the types of numeric variables?

A
  • continuous & discrete (UK)
  • interval scale & ratio scale (US)
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5
Q

what is a continuous numeric variable?

A
  • a variable that can take any possible value within a given range
  • (ex: temperature in Celsius)
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6
Q

what is a discrete numeric variable?

A
  • a variable that can take specific values within a given range
  • there are gaps in the range of variables
  • typical discrete variable is a count (of integers)
  • (ex: number of teeth)
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7
Q

define interval scale and ratio scale numeric variables

A

interval scale: a variable whose values are graded in equal increments (ex: temperature in Celsius, 0˚C doesn’t mean anything)

ratio scale: same as interval scale, however a true 0 exists, true absence of quantity (ex: temperature in Kelvin (0K exists))

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8
Q

what are the types of categorical variables?

A
  • normal categorical (nominal scale)
  • ordered categorical (ordinal scale)
  • binary
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9
Q

what is a normal categorical variable?

A
  • a variable that is divided into different categories not in any ordered way
  • (ex: brand of car)
  • also known as nominal scale
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10
Q

what is an ordered categorical variable?

A
  • a variable that is divided into different categories in an ordered manner
  • (ex: income level categorized as “low, middle, high” income)
  • also known as ordinal scale
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11
Q

what is a binary categorical variable?

A

a variable with ONLY 2 categories
(ex: affected by disease [yes/no])

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12
Q

what type of variables are each of these examples:
(1) blood triglyceride levels
(2) dietary pattern (very healthy, moderately healthy, moderately unhealthy, very unhealthy)
(3) cyprus districts (larnaca, limassol, nicosia, etc)
(4) number of asthma attacks per month

A

(1) continuous numeric
(2) ordered categorical (ordinal)
(3) normal categorical (nominal)
(4) discrete numeric

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13
Q

more operations can be made with which type of variable?

A

numeric

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14
Q

what is considered more informative when presented with categorical data?

A

proportions rather than actual (absolute) numbers

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15
Q

what are the different ways you can present categorical data?

A
  • frequency table (showing numbers and proportions
  • bar graphs
  • pie charts
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16
Q

what does a bar graph display?

A

displays the distribution of a categorical variable, showing the counts for each category next to each other for easy comparison

17
Q

what does a pie chart display?

A
  • displays the total population/sample as a circle
  • the circle is sliced into pieces whose size is proportional to the fraction of the whole in each category
18
Q

what are the different ways we can present numeric data?

A
  • measures of central tendency: a single, central, typical value for a given variable around which other cluster
  • measures of dispersion: the extent of spread of values of a given variable (especially with respect to the central value of a distribution)
19
Q

what are the examples of measures of central tendency?

A

mean, median, mode

20
Q

what are the examples of the measures of dispersion?

A

variance, standard deviation, interquartile range

21
Q
A
22
Q
A
23
Q
A