Quiz 2 Flashcards

(31 cards)

1
Q

A variable

A

Gender, social media use

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2
Q

An attribute

A

Options of a variable

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3
Q

Levels of measurement

A

Nominal, ordinal, interval, ratio

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4
Q

Nominal

A

Names/attributes of measurement but no order (gender, countries)

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5
Q

Ordinal

A

Order to measurement but the intervals are not the same

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6
Q

Interval

A

Has order and intervals are the same, no true zero (Fahrenheit)

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7
Q

Ratio

A

Requires order, intervals, and a true zero

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8
Q

Precision

A

How precise is your measurement (to what decimal, half inch, etc.)

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9
Q

Accuracy

A

Do we get it right or not

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10
Q

Reliability

A

Consistency of measurement (are they the same between different tests)

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11
Q

Validity

A

Is your response a good gauge of what happens in reality

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12
Q

Face validity

A

Do results LOOK valid

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13
Q

Content validity

A

Does our measurement approach include different dimensions of that concept

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14
Q

Criterion-related validity (AKA Concrete validity)

A

The degree to which a test can predictively (in the future) or concurrently (in the present) measure something

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15
Q

Construct validity

A

Does it measure what it means to measure

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16
Q

Bogardus Social Distance Scale

A

Willingness of people to participate in social relations of varying degrees of closeness with other kinds of people

17
Q

Thurstone Scale

A

Consider a student GPA at BU, estimate how strong an indicator of a student’s GPA each item is on a scale of 1-10

18
Q

Likert Scale

A

Please indicate whether you “strongly agree” “agree” “disagree” “strongly disagree”

19
Q

Semantic Differential Scale

A

Questionnaire format where respondents rate something in terms of two opposite adjectives

20
Q

Guttman Scale

A

Types of composite measures used to summarize several discrete observations to represent more general variables

21
Q

Cronbach’s Alpha

A

Indicated reliability of measurement, below 0.70 is concern

22
Q

Factor Analysis

A

Identifies which variables are strongly correlated and should be grouped

23
Q

Empirical relationships

A

Establish when respondents answers to one question help us predict how they answer other questions

24
Q

Bivariate relationships

25
Multivariate relationships
Prediction
26
Categorical variables
Categories (race, gender, eye color)
27
Continuous variables
Can take on large quantity of answers (age, height)
28
Dichotomous variables
Two responses, yes or no
29
Boolean searches
More precise searches using words such as AND, OR, NOT or symbols such as quotation marks to indicate you want to limit a search to an exact phrase
30
Search plan
A list of search words and phrases that would likely lead to information on your research topic
31