RM (w1, 2, 3) Flashcards

1
Q

What is the Simpson’s Paradox ?

A

When aggregated data (averages) reveals one trend but the same disaggregated data indicates another trend.

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2
Q

What is the difference between numeric, character, and logical variables?

A

Numeric = store numbers.
Character = stores text.
Logical = stores TRUE / FALSE

Vectors made up of different variables will convert them into the same class

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3
Q

What is a tibble?

A

A table of data where vectors are represented by various data entries

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4
Q

What is a ‘theoretical construct’ ?

A

An unobservable psychological entity that cannot be measured directly

They need to be operationalised. They inform research. eg. hopes, fears

Psychological entity > process

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5
Q

What is a psychological ‘measure’?

A

A tool that produces data relevent to our theorical construct

Blood oxygenation, self-survey, reaction time

Psychological entity > process

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6
Q

What does a psychological measure produce?

A

Data, or things you can observe.

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7
Q

What is ‘operationalism’?

A

This is a process of moving from our construct to our measure

We operationalise our theoretical construct by defining our measure

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8
Q

What is the process of ‘measurement’?

A

This is a process that moves us from constructs to observations

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9
Q

What is a nominal scale?

Scale of measurment.

A

Values have no particular relationship with each other

No numbering scheme is needed. eg. gender, religion, hair colour

scale of measurment

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10
Q

What is an ordinal scale?

Scale of measurment.

A

A scale with a natural ordering. Allow for relative comparision but not precise differences between value

example: ranking of athletes with medals (gold, silver ect.)

scale of measurment

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11
Q

What is an ‘interval scale’?

Scale of measurment.

A

Where values of a scale are ordererd and also have equal intervals between them. Zero is not meaninful.

Comparison can be based on order and magnitude of difference. eg. temp

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12
Q

What is a ‘ratio scale’?

Scale of measurment.

A

Where values are ordered, intervals are equal, and posses a meaningful zero point. Can compare based on order, mangnitude of difference and meaninful ratios.

Zero represents a lack of something. eg. weight

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13
Q

What is the difference between a interval and ratio scale?

A

Ratio scales posses a meaningful zero, where as intervals do not.

i.e zero represents an absense of something. one cannot be - weight.

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14
Q

What are ‘discrete variables’?

This is a ‘type’ of variable.

A

These values come in specific categories, there are no ‘in-between’ values.

ie the number of people in the library

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15
Q

What are ‘continuous variables’?

This is a ‘type’ of variable.

A

These are more precise values than discrete variables that only allow for distinct values. Can take on any value within a certain interval.

i.e the height of a tree / response time

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16
Q

Can all four scales (nominal, ordinal, interval, and ratio) be described as ‘continuious’ ?

A

No. Not all scales can be described as continuous. It is not possible for nominal or ordinal scales to be as they are considered discrete. Nominal variables are categorical with no inherent ordering. While ordinal variables have an ordering but no consistent difference between categories.

17
Q

Can all four scales (nominal, ordinal, interval, and ratio) be described as discrete?

A

Yes. While not all four scales can be described as continuous, they can in some cases all be described as discrete.

18
Q

Name and describe three types of reliability

Reliability: same outcome over multiple measurments

A
  1. test-retest reliability : consistency of measurments over time. same test, same people, different occations
  2. Inter-rater reliability : does having different people in the test change the results.
  3. Internal consistency reliability : the extent to which items are measuring the same thing
19
Q

Range, interquantile range, and SD are all measures of what?

A

Measurments of spread.

20
Q

Mean, median, and mode are all measures of what?

A

Measures of centeral tendency.

a summarry of the distribution of the data by identifying where most of