Chapter 8 Flashcards

1
Q

The degree to which two measured variables are related

A

Bivariate Correlation

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2
Q

What kind of graphs do we use for correlations

A

Scatterplot

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3
Q

What does the +/- sign indicate about a correlation

A

the direction

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4
Q

What does the number indicate about a correlation

A

the strength of the correlation

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5
Q

Pearson Correlation Coefficient

A

only used when looking at 2 variables
only goes -1/1
r-values determine strength

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6
Q

Confidence Intervals

A

tells us the precision of estimate of statistical significance
if it includes zero it is not significant

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7
Q

What factors distort correlations?

A

restricted range
curvilinear relationships
outliers

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8
Q

introduce erroneous variability/ “noisy data”

A

unreliable measures

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9
Q

a variable that, depending on size, effects the correlational relationship

A

moderator

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10
Q

temporal precedence highlights what problem

A

directionality problem
what causes what

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11
Q

Criteria for causation with bivariate correlations

A

builds a case for causing using multivariate techniques

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12
Q

plausible 3rd variable

A

third variable problem

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13
Q

more than 2 measured variables

A

multivariate technique

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14
Q

What are the 2 ways to build causation using multivariate techniques

A

multiple regression analysis
pattern and parimosity approach

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15
Q

allows us to rule out alternative explanations and increases internal variability

A

multiple regression

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16
Q

Criterion Variable

A

the dependent variable
most interested in
first variable in a regression table

17
Q

Predictor Variable

A

in

18
Q

Pattern and Parimosity

A

researchers investigate causality by using a variety of correlational studies that all point in the same causal direction

19
Q

look at the pattern of results across a variety of correlational studies that all point in a single causal direction

A

pattern

20
Q

we aim for the simplest explanation of pattern of data

A