5: Levels of Measurement and Distributions Flashcards

1
Q

What are the types of variables?

A

Constant, categorical, numerical, continuous, discrete.

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2
Q

What is a constant variable?

A

Any characterisitc that is observed only take on one, single value.

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3
Q

What is a categorical variable?

A

Qualitative in value. Describes categories of a characterisitc, e.g. party affiliation. Special case - dichotomous variable.

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4
Q

What is a numerical variable?

A

Quatitative variable. Further classification - continuous vs discrete.

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5
Q

What is a continuous variable?

A

Can take any value in a specific range. Varies between a smaller and larger number. Examples - GDP, age, weight, etc.

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6
Q

What is a discrete variable?

A

Can only take on certain values, many are not possible. Arises from a counting process. Examples - no. of children in a family, etc.

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7
Q

What are the levels of measurement?

A

Nominal scales, ordinal scales, interval scales, ratio scales.

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8
Q

What are nominal scales?

A

Categorical scales or qualitative scales. Assign people or objects into qualitatively diff categories. Assumes that all items in a category are equal with respect to that category. No intermittent categories. Examples - type of student.

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9
Q

What are the descriptives for nominal scales?

A

Mean - no. Median - no, requires ordering. Mode - yes, measure for mode for a particular religion, for example.

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10
Q

What are ordinal scales?

A

Rank people or objects on some variable. Requires classification. Requires ranking. Equal diff between the ranks does not imply equal distance between characterisitcs.

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11
Q

What are the descriptives for ordinal scales?

A

Mean - no (understanding as categorical variable, most often the case), yes (understanding as numerical variable). Median - yes. Mode - yes.

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12
Q

What are interval scales?

A

Most commonly used score in stats. Gives info about ranking of people or objects. Provides info on how far apart people or objects are on that variable. Examples - temp, year, etc.

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13
Q

What do interval scales assume?

A

Equal diff between all points on the score.

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14
Q

What are the descriptives for interval scales?

A

Mean - yes. Median - yes. Mode - yes.

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15
Q

What are ratio scales?

A

Most commonly used score in stats. Gives info about ranking of people or objects. Provides info on how far apart people or objects are on that variable. Has a natural point of 0 - indicates the total abscence of a charactertisitc. Treated a numerical, can be discrete or continuous. Examples - height, weight, age, blood pressure, etc.

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16
Q

What are the descriptives for ratio scales?

A

Mean - yes. Median - yes. Mode - yes.

17
Q

What is a distribution?

A

The display of values a variable can assume, together with their respective absolute or relative frequency.

18
Q

What is frequency?

A

The no. of cases in a particular interval. Intervals tend to be grouped for convience. Grouping is a trade off between the loss of info and good communication of data.

19
Q

What is cumulative frequency?

A

The no. of cases in that interval and all of the other smaller intervals. The number of the final interval is always the sample size.

20
Q

What is relative frequency?

A

The % of cases in a particular interval/category. Can be used with any measurement scale.

21
Q

What is cumulative relative frequency?

A

The % of cases in that interval or smaller. Cannot be used with nominal data.

22
Q

How can distributions be displayed?

A

Bar graphs, histograms, box and whisker plot

23
Q

What is cumulative frequency polyon?

A

Appropriate for data that are at least ordinal. y-axis - cumulative frequencies. Polygon cannot be closed on the right hand side.