Exam 2 Flashcards

1
Q

Variable

A

Any factor or attribute that can assume two or more values (I.e., anything that varies)

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2
Q

Quantitative variables

A

Represent properties that differ in amount

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3
Q

Qualitative variables

A

Represent properties that differ in type

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4
Q

Participant variables

A

Personal characteristics that differ across individuals

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5
Q

Situational variables

A

Characteristics that differ across environments or stimuli

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6
Q

Measurement

A

Process of systematically assigning values to represent attributes of organisms, objects, or events

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7
Q

Nominal scales

A

Involve meaningful but potentially arbitrary, non-numerical names or categories

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8
Q

Ordinal scales

A

Involve ordering or ranking levels of the variable

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9
Q

Interval scales

A

Involve the use of real numbers designating real amounts that reflect relative differences in magnitude

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10
Q

Ratio scales

A

Contain an absolute zero point that represents the absence of the variable being measured

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11
Q

Constructs

A

Underlying, hypothetical characteristics or processes that cannot be directly observed

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12
Q

Operational definitions

A

Defining a variable in terms of the procedures used to measure or manipulate it

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13
Q

Reliability

A

The consistency or stability of a measure

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14
Q

Test-retest reliability

A

Extent to which scores on the same measure, administered to the same participants at two different times under equivalent conditions, correlate with each other

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15
Q

Parallel forms reliability

A

Extent to which scores on two different but equivalent versions of the same measure, administered to the same participants at two different times under equivalent conditions, correlate with each other

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16
Q

Internal consistency

A

Consistency of a measure within itself

17
Q

Construct validity

A

Degree to which a measure actually measures the construct it is intended to measure

18
Q

Face validity

A

Degree to which items on a measure appear to measure the construct of interest

19
Q

Content validity

A

Degree to which items on a measure adequately represent the entire range or set of items that could have been appropriately included

20
Q

Criterion validity

A

Addresses the ability of a measure to predict an outcome

21
Q

Convergent validity

A

Extent to which scores on the measure correlate with scores on other measures of the same construct

22
Q

Divergent validity

A

Extent to which scores on two different measures of different constructs do not relate to each other

23
Q

Between-subjects design

A

Different participants are randomly assigned to different groups

24
Q

Within-subjects design (I.e., repeated measures design)

A

All participants complete all conditions

25
Q

Matched-groups design

A

Participants after matched on one+ characteristics and each individual in the matched set is randomly assigned to complete a different condition of the experiment

26
Q

Carryover effects

A

When participants responses in one condition are uniquely influenced by the particular condition or conditions that preceded it

27
Q

Progressive effects

A

An order effect in which changes in participants responses result from their cumulative exposure to prior conditions