Correlation Flashcards

1
Q

Expression of the degree and direction of correspondence between 2 things

A

Correlation

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2
Q

Linear relationship between only 2 variables, usually continuous in nature

A

Coefficient of correlation (r)

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3
Q

A widely used statistic for obtaining an index of the relationship between two variables when the relationship between the variables is linear and when the two variables correlated are continuous (that is, theoretically can take any value)

A

Pearson r

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4
Q

Significance at .05 means…

A

The result could have been expected to occur by chance alone 5 times or less in a hundred

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5
Q

Mean for the sum of products is calculated, and mean is the value of “r”

A

Pearson r

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6
Q

A value indicating how much variance is shared by two variables being calculated.

A

Coefficient of determination

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7
Q

Square of the correlation coefficient and multiply by 100

A

Coefficient of determination

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8
Q

R-squared tells you how much of the variation in your Y-values (predicted values) can be explained by variation in your X-variables (predictor variables)

A

Coefficient of determination (r squared)

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9
Q

A deviation about a mean of distribution

A

moment (product-moment coefficient of correlation)

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10
Q

Individual deviations about the mean of a distribution

A

Deviates (product-moment coefficient of correlation)

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11
Q

Multiplication of 2 corresponding standard scores can therefore be comceptualized as one that entails the computation of he product of corresponding moments

A

Product (product-moment coefficient of correlation)

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12
Q

Also known as rank-order correlation coefficient

A

Spearman rho

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13
Q

This index of correlation may be the statistic of choice when the sample size is small (less than 30) and both sets of measurements are interval or ordinal; non-parametric version of Pearson r

A

Spearman rho

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14
Q

A graphic description of correlation achieved by graphing the coordinate points for the two variables.

A

Scatterplot/scatter diagram/bivariate distribution

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15
Q

What is curvilinearity?

A

How curved a graph is (eyeball gauge)

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16
Q

An extremely atypical plot point in a scatterplot; any extremely atypical finding in research

A

Outlier

17
Q

The analysis of relationships among variables to understand how one variable may predict another

A

Regression

18
Q

Represented by a specific value of a and b is fitted precisely to the points on the scatterplot so that the sum of the squared vertical distances from the points to the line will be smaller than any other line that could be drawn to predict one score variable

A

Regression line

19
Q

In regression, an error in the prediction of Y from X; the lower the degree of correlation, the higher the standard error of the estimate

A

Standard error of estimate (SEE)

20
Q

The analysis of relationships between more than one independent variable and one dependent variable to understand how each independent variable predicts the dependent variable

A

Multiple regression

21
Q

If ang usa ka predictor kay di correlated sa other predictors but correlate sa Y, then mas naay weight kay sa sa 2 predictors na highly correlated to each other because redundant na sya, thus less weight to prediction to Y (also take into account correlations among predictors (X) dili ra correlation sa ipredict (Y)

A

To remember sa multiple regression

22
Q

A family of techniques used to statistically combine info across studies to produce single estimates of the statistics being studies; value depends on the skill and ability of meta analyst

A

Meta-analysis

23
Q

Also referred to as a cutoff score, a reference point, usually numerical, derived as a result of judgment, used to divide a set of data into two or more classifications, with some action to be taken or some inference to be made on the basis of these classifications

A

Cut score

24
Q

Know about the culture of testaker and era of testtaker experienced

A

Culturally informed assessment

25
Q

A dichotomous variable that naturally form 2 categories

A

True dichotomous

26
Q

A dichotomous variable that reflect an underlying continuous scaled forced into a dichotomy (e.g.range of scores na makapass or fail in an exam)

A

Artificially dichotomous

27
Q

Expresses the relationship between a continuous variable and an artificial dichotomous variable

A

Biserial correlation

28
Q

True dichotomous and continuous variable

A

Point biserial correlation

29
Q

artificial dichotomous and true dichotomous

A

Phi coefficient

30
Q

Both artificial dichotomous variables

A

Tetrachoric r

31
Q

Continuous to continuous variables

A

pearson r