Ch. 9 Flashcards

1
Q

What are the three criteria for establishing causation?

A

-covariance
-temporal precedence
-internal validity

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2
Q

What do multivariate designs involve?

A

more than two measured variables

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3
Q

Why choose to do a longitudinal study instead of an experiment?

A

many cases participants cannot be randomly assigned to a variable (cannot be assigned a preference)

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4
Q

What is a cross-sectional correlation?

A

In a longitudinal design, a correlation between two variables that are measured at the same time

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5
Q

What is an autocorrelation?

A

In a longitudinal design, the correlation of one variable with itself, measured two different times

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6
Q

What is a cross-lag correlation?

A

In a longitudinal design, a correlation between an earlier measure of one variable and a later measure of another variable.

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7
Q

What is a ‘control for’ ?

A

Holding a potential third variable at a constant level (statistically or experimentally) while investigating the association between two variables

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8
Q

What is criterion variable?

A

The variable in a multiple-regression analysis that the researchers are most interested in understanding or predicting

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9
Q

What is a multivariate design?

A

A study designed to test an association involving more than two measured variables

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10
Q

What is multiple regression?

A

A statistical technique that computes the relationship between a predictor variable and a criterion variable, controlling for other predictor variables

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11
Q

What is a mediator?

A

A variable that helps explain the relationship between two other variables

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12
Q

What is a longitudinal design?

A

a study in which the same variables are measured in the same people at different points in time

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13
Q

What is a predictor variable?

A

A variable in multiple-regression analysis that is used to explain variance in the criterion variable

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14
Q

What is a parsimony?

A

The degree to which a theory provides the simplest explanation of some phenomenon. In the context of investigating a claim, the simplest explanation of a pattern of data; best explanation that requires making the fewest exceptions or qualifications

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15
Q

Does regression establish causation?

A

no, not a foolproof way to rule out kinds of third variables

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