chapter 8-9 vocab terms Flashcards

1
Q

bivariate correlation

A

an association that involves exactly two variables (bivariate association)

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2
Q

effect size

A

the magnitudes or strength of a relationship between two or more variables

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3
Q

statistically significant

A

the conclusion assigned when p<0.05 that is, when it is unlikely the result came from the null hypothesis population

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4
Q

replication

A

the process of conducting a study again to test whether the result is consistent

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5
Q

restriction of range

A

in a bivariate correlation, the absence of a full range of possible scores on one of the variables, to the relationship from the sample underestimates the true correlation

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6
Q

curvilinear association

A

an association between two variables which is not a straight line; instead as one variable increase, the level of the other variable increases and then decreases (and vice versa)

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7
Q

directionality problem

A

in a correlational study, the occurrence of both variables being measured around the same time, making it unclear which variable in the association came first

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8
Q

third-variable problem

A

in a correlational study, the existence of a plausible alternative explanation for the association between two variables

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9
Q

spurious association

A

a bivariate association that is attributable only to systematic mean differences in subgroups within the sample; the original association is not present within the subgroups

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10
Q

moderator

A

a variable that, depending on its level, changes the relationship between two other variables

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11
Q

outlier

A

a score that stands out as either much higher or much lower than most of the other scores in a sample

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12
Q

multivariate design

A

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

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13
Q

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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14
Q

cross-sectional correlation

A

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

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15
Q

autocorrelation

A

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

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16
Q

cross-lag correlation

A

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

17
Q

multiple regression

A

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

18
Q

control for

A

holding a potential third variable at a constant level while investigating the association between two other variables

19
Q

criterion variable

A

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

20
Q

predictor variable

A

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

21
Q

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; the best explanation that requires making the fewest exceptions or qualification

22
Q

mediator

A

a variable that helps explain the relationship between two other variables

23
Q

multivariate design

A

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

24
Q

longitudinal design

A

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

25
Q

cross-sectional correlation

A

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

26
Q

autocorrelation

A

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

27
Q

cross-lag correlation

A

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

28
Q

multiple regression

A

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

29
Q

control for

A

holding a potential third at a constant level while investigating the association between two other variables

30
Q

criterion variable

A

the variable in a multiple regression analysis that the researchers are most interested in understanding or predicting (dependent variable)

31
Q

predictor variable

A

a variable in multiple-regression analysis that is used to explain variance in the criterion variable (independent variable)

32
Q

parisomony

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; the best explanation that requires making the fewest exception or qualification

33
Q

mediator

A

a variable that helps explain the relationship between two other variables (mediating variable)