Variables Flashcards

1
Q

2 key distinction of variables:

A
  • LEVEL OF MEASUREMENT

- CONTINUOUS/DISCRETE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Level of measurement = 3 variables:

A

NOMINAL
ORDINAL
INTERVAL/RATIO

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Level of measurement/scale of measurement of a variable that indicates:

A

how much information the number contains

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Nominal =

A
  • numbers used to code information
  • e.g. continent: 1 = AFRICA, 2 = ASIA
  • values aren’t ordered in relation to each other
  • distance also meaningless, e.g. can’t calculate ‘average continent’
  • UNORDERED CATEGORIES
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Ordinal =

A
  • ORDERED CATEGORIES, e.g. income group: 1 = low, 2 = middle, 3 =high
  • Order of number is meaningful, e.g. a country’s income is higher than another’s
  • Distances between values have no meaning - CANNOT SAY HOW MUCH HIGHER
  • Cannot sensibly, e.g. calculate average income
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Interval/ratio =

A
  • Order of numbers is meaningful
  • e.g. a country’s income is higher than another’s
  • Distances between values = meaning = compare
  • Can sensibly, e.g. calculate average income
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

CONTINUOUS/DISCRETE: In practice, variables that have many values =

A

continuous

-variables that have only a few values = discrete

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Discrete =

A

CATEGORICAL
-Basic unit of measurement cannot be subdivided
-e.g. Income in categories: low,middle,high
-e.g. Days
-e.g. Did you study at all last week?
: YES/NO = DICHOTOMOUS/BINARY VARIABLE

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

DICHOTOMOUS/BINARY VARIABLE =

A

just 2 categories, e.g. yes/no

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Continuous =

A
  • if it can in principle be subdivided without limit
  • e.g. income measured in dollars, fractions of dollars
  • e.g. time [hours, minutes, seconds]
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Variables relationship can also be:

A

SPURIOUS

INTERVENING

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Spurious relationship : there is neither a direct nor indirect pathway between variables e.g. between shoe size and gender

A
ADULTHOOD       
       /                              \
SHOE       --------->    INCOME
SIZE         
       \                              /
               GENDER
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Intervening relationship: a variable intervenes between 2 other variables causing an INDIRECT RELATIONSHIP

There is also a direct relationship between 2 variables

A

(indirect relationship)
PART-TIME WORK
/ \
/ \
GENDER ———–> SUPERVISORY
(direct relationship) POWER

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Measurements are used sometimes as:

A

performance indicators

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Performance indicators: often measurements are motivated by the aim of

A

improving something

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Performance indicators: many are used to

A

track performance

17
Q

Performance indicators: GOODHART’S LAW: any measurements identified as targets become:

A

useless as measurements

18
Q

CONTINUOUS VARIABLE: use a threshold to divide it into a categorical one with 2 categories creates an:

A

ABSOLUTE LEVEL

19
Q

CONTINUOS/DISCRETE: definition as relative, recoding from continuous to categorical creates a:

A

relative threshold: can move up/down

20
Q

BOTH CONTINUOUS/DISCRETE PRODUCE:

A

COMPOSITE INDICATORS/SCALES