Correlations Flashcards

1
Q

Correlation

A

The analysis of the relationship between two measured co-variables.

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2
Q

Co-variable

A

A variable that is measured and compared with another variable in a correlational study.

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3
Q

Scattergram

A

A type of graph used to display data points for two co-variables, showing their relationship.

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4
Q

Positive Correlation

A

A relationship where an increase in one co-variable is associated with an increase in the other.

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5
Q

Negative Correlation

A

A relationship where an increase in one co-variable is associated with a decrease in the other.

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6
Q

Zero Correlation

A

A situation where there is no relationship between two co-variables.

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7
Q

Correlation Coefficient

A

A numerical value ranging from -1 to +1 that represents the strength and direction of a correlation.

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8
Q

Perfect Positive Correlation

A

A correlation coefficient of +1, indicating a perfectly proportional increase between two co-variables.

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9
Q

Perfect Negative Correlation

A

A correlation coefficient of -1, indicating a perfectly proportional inverse relationship between two co-variables.

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10
Q

No Correlation

A

A correlation coefficient of 0, indicating no relationship between two co-variables.

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11
Q

Pearson’s Correlation

A

A statistical test used to measure the strength of a linear relationship between two continuous variables.

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12
Q

Spearman’s Correlation

A

A statistical test used to assess the strength and direction of a monotonic relationship between two ranked variables.

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13
Q

Inter-rater Reliability

A

The level of agreement between two observers, often assessed using a correlation test.

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14
Q

Correlation does not show causation.

A

A limitation of correlational studies; they cannot determine which variable influences the other or if a third variable is involved.

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15
Q

Extraneous Variables

A

Uncontrolled factors that may affect the outcome of a correlational study.

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16
Q

Ethical Strength of Correlations

A

Correlational studies often have fewer ethical concerns as they involve measuring pre-existing variables.

17
Q

Strength, Predictive Value

A

Correlations can highlight potential causal relationships that can be explored further through experiments.

18
Q

Strength of Correlations

A

The correlation coefficient provides a useful measure for describing the strength of a relationship.