Identifying Scientific Variables Flashcards

1
Q

Factor

A

differentiates between a set of groups being compared in an experiment, independent variables of an experiment

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2
Q

Condition

A

How the group is treated in an experiment

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3
Q

Levels

A

different values of the independent variable that are selected to create the treatment condition

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4
Q

reliability

A

consistent measurements

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5
Q

validity

A

accurate measurements

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6
Q

situational variables

A

describes characteristic of a situation or environment

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7
Q

response variables

A

responses or behavior of subjects/participants , type of variable measured after manipulating the situational variable

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8
Q

participant variables

A

differences between individuals (e.g. gender, height, genetic composition)

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9
Q

Mediating variables

A

help explain how and why a relationship exists between 2 other variabled

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10
Q

Qualitative variable

A

non-numeric categories (e.g. behavior changes, drug use, health condition)

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11
Q

Quantitative variables

A

described in numbers (e.g. age, salary , caloric intake)

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12
Q

Discretev variable

A

measured in categories , whole number.

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13
Q

Continuous variable

A

measured on a continuum, whoel unit or fraction (decimal places ), obtained by measuring.

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14
Q

Nominal scale

A

qualitative differences in levels of a variable, used for categorization

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15
Q

Ordinal scale

A

measurements that convey order or rank (e.g. “on a scale of 1-5 how satisfied are you”)

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16
Q

Interval scale

A

measurements that convey order or rank but intervals between adjacent values are constant

17
Q

Ratio scale

A

measurements that convey order or rank but intervals between adjacent values are constant, with a zero

18
Q

Control variables

A

potential independent variables that are held constant during an experiment

19
Q

Cofounding variables

A

potential independent variables that are not held constant during the experiment

20
Q

validity of measurement

A

Demonstrate that the measurement procedure is measuring
what it claims to be measuring

21
Q

face validity

A

measurement appears to measure what you claim what you claim to measure: based on subjective judgement

22
Q

predictive validity

A

scores from a new measure accurately predict future behaviour

23
Q

concurrent validity

A

scored obtained using a new measure correlated with a previousli established measure of the same construct: usually a gold standard, strong correlation between new and old measurement.

24
Q

convergent validity

A

two measurements produce strongly related scored and converge on the same construct : no emphasis on timing or gold standard

25
Q

divergent validity

A

same method used to mesure two different constructs to discriminate between the constructs : measurement does not correlate with two constructs

26
Q

test-retest reliability

A

determine correlation between scores from measurements taken at two time points

27
Q

inter-rater reliability

A

Determine correlation between scores from two independent scorers