Chapter 5 FITB Flashcards

1
Q

A — is some property of an event in the world that has been measured

A

variable

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2
Q

A — is a measure, either results of a test or of the

behavior of a subject on one of several different dimensions

A

dependent variable

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3
Q

An — is one that is believed to cause some change in the value of the dependent variable

A

independent variable

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4
Q

The different values of an independent variable are called the —

A

levels of the variable

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5
Q

A — is an independent variable that the researcher does not manipulate, but measures instead

A

subject variable

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6
Q

A — is one that varies with the independent variable

A

confounded variable

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7
Q

— variables vary in amount, whereas — variables differ in kind.

A

Quantitative, categorical

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8
Q

A — is one that is not limited to a certain number of values

A

continuous variable

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9
Q

A — is one that falls into a certain number of distinct bins

A

discrete variable

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10
Q

The — of a number are the point indicated by the number itself; the — are the interval defined by the number plus or minus half the difference to the next numbers

A

apparent limits, real limits

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11
Q

— is the assignment of numbers to objects or events according to rules that permit important properties of the objects or events to be represented by properties of the number system

A

Measurement

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12
Q

Four scales of measurement are distinguished according to the rules by which numbers are assigned to objects or events:

A

nominal, ordinal, interval, and ratio

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13
Q

A — is one that classifies objects or events into categories. Objects or events of the same kind get the same number and different objects or events get different numbers

A

nominal scale

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14
Q

An — is one that ranks objects or events in order of their magnitude. The ordinal position of the numbers on the scale must represent the rank order of the psychological attributes of the objects or events

A

ordinal scale

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15
Q

An — is one in which the differences between the numbers on the scale are meaningful. Equal differences between the numbers on the scale must represent equal differences between the event or objects

A

interval scale

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16
Q

A — is one that has a meaningful zero point as well as meaningful differences between the numbers on the scale. The ratios between the numbers on the scale must represent the ratios between the events or objects

A

ratio scale

17
Q

We are able to gain more information from the data as we progress from —

A

nominal to ordinal to interval to ratio scales

18
Q

Knowing the type of scale that data are measured on (nominal, ordinal, interval, or ratio) is important to avoid —

A

drawing incorrect conclusions from the data

19
Q

Measurements must be both —

A

reliable and valid

20
Q

Four types of validity of measurements are commonly recognized: —

A

construct validity,
face validity,
content validity, and
criterion validity

21
Q

— is variability in the response that is not associated with the independent variable

A

Error variance (or random error)

22
Q

— is caused by a measurement bias

A

Systematic error

23
Q

The choice of stimulus values is guided by four principles

A

a. The stimuli should cover as much of the range as possible.
b. They should be close enough together to prevent overlooking interest-
ing effects between stimuli.
c. In within-subjects studies, at least seven stimuli should be presented if
possible.
d. If the continuum is quantitative, logarithmically spacing the stimuli
may be advisable.