Chapter V Vocabulary Flashcards

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1
Q

Bidirectionality Problem

A

ambiguity about whether X has caused Y or Y has caused X.

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2
Q

Correlation

A

a statistical association between variables.

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3
Q

Correlational Research

A

research that involves examining potential associations between naturally
occurring variables by measuring those variables and determin- ing whether they are statistically related.

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4
Q

Criterion Variable

A

a variable that a researcher is trying to estimate or predict.

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5
Q

Cross-Sectional Research Design

A

a descriptive research design in which each person in the study participates on one occasion and all variables are measured at that time; in developmental research, a study in which participants of different ages are compared at the same point in time;

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6
Q

Model

A

?

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7
Q

Multiple Regression

A

a statistical analysis that explores the linear relation between one variable and a set of two or more other variables.

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8
Q

Negative Correlation

A

correlation in which higher scores or levels of one variable tend to be associated with lower scores or levels of another variable.

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9
Q

Partial Correlation

A

a statistical approach in which a correlation between variable X and variable Y is computed while statistically controlling for their individual correlations with a third variable, Z.

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10
Q

Pearson’s r (Pearson product-moment correlation coefficient)

A

a statistic that measures the direction and strength of the linear relation between two variables that have been measured on an interval or ratio scale.

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11
Q

Positive Correlation

A

correlation in which higher scores or levels of one variable tend to be associated with higher scores or levels of another variable.

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12
Q

Predictor Variable

A

a variable whose scores are used to estimate scores of a criterion variable.

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13
Q

Prospective Design

A

a longitudinal design in which variable X is measured at an earlier point in time than variable Y.

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14
Q

Range Restriction

A

the artificial limiting of the range of scores obtained for a variable.

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15
Q

Regression Analysis

A

a statistical analysis that explores the quantitative linear relation between two variables.

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16
Q

Scatter Plot

A

a graph in which data points portray the intersection of X and Y values.

17
Q

Spearman’s Rho

A

a statistic used to measure the relation between two quantitative variables when one or both variables have been measured on an ordinal scale (i.e., the scores represent ranks).

18
Q

Third-variable Problem

A

an ambiguity in correlational research whereby a third variable, Z, may be the true cause of why X and Y appear to be related.