Chapter 5 FITB Flashcards
A — is some property of an event in the world that has been measured
variable
A — is a measure, either results of a test or of the
behavior of a subject on one of several different dimensions
dependent variable
An — is one that is believed to cause some change in the value of the dependent variable
independent variable
The different values of an independent variable are called the —
levels of the variable
A — is an independent variable that the researcher does not manipulate, but measures instead
subject variable
A — is one that varies with the independent variable
confounded variable
— variables vary in amount, whereas — variables differ in kind.
Quantitative, categorical
A — is one that is not limited to a certain number of values
continuous variable
A — is one that falls into a certain number of distinct bins
discrete variable
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
apparent limits, real limits
— 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
Measurement
Four scales of measurement are distinguished according to the rules by which numbers are assigned to objects or events:
nominal, ordinal, interval, and ratio
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
nominal scale
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
ordinal scale
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
interval scale
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
ratio scale
We are able to gain more information from the data as we progress from —
nominal to ordinal to interval to ratio scales
Knowing the type of scale that data are measured on (nominal, ordinal, interval, or ratio) is important to avoid —
drawing incorrect conclusions from the data
Measurements must be both —
reliable and valid
Four types of validity of measurements are commonly recognized: —
construct validity,
face validity,
content validity, and
criterion validity
— is variability in the response that is not associated with the independent variable
Error variance (or random error)
— is caused by a measurement bias
Systematic error
The choice of stimulus values is guided by four principles
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.