Flashcards
Stats Chap 7
Cards in this deck (12)
- 1Biserial CorrelationA standardized measure of the strength between two variables we one of the two variables is dichotomous. The biserial correlation coefficient is used when one variables is a continuous dichotomy (eg. has an underlying continuum between the two categories).
- 2Bivariate CorrelationA correlation between two variables.
- 3Coefficient of DeterminationThe proportion of variance in one variable explained by a second variable. It is Person's Correlation Coefficient squared.
- 4CovarianceA measure of the "average" relationship between two variables. It is the average cross-product deviation (i.e., the cross-product divided by one less than the number of observations).
- 5Cross-Product DeviationsA measure of the "total" relationship between two variables. It is the deviation of one variable from its mean multiplied by the other variable's deviation from its mean.
- 6Kendall's TauA non-parametric correlation coefficient similar to Spearman's correlation coefficient, but should be used in preference for a small data set with a large number of tied ranks.
- 7Partial CorrelationA measure of the relationship between two variables while "controlling" the effect of one or more additional variables on both.
- 8Pearson Correlation CoefficientPearson's product-moment correlation coefficient, to give it its full name, is a standardized measure of the strength of relationship between two variables. It can take any value from -1 (as one variables changes the other changes in the opposite direction by the same amount), through 0 (as one variable change the other doesn't change at all), to +1 (as one variable changes, the other change sin the same direction by the same amount).
- 9Point-Biserial CorrelationA standardized measure of the strength of relationship between two variables when one of the two variables is dichotomous. The point-biserial correlation coefficient is used when the dichotomy is a discrete, or true dichotomy (i.e., one for which there is no underlying continuum between the categories). An example of this is pregnancy: you can be either pregnant or not, there is no in between.
- 10Semi-Partial CorrelationA measure of the relationship between two variables while "controlling" the effect that one or more additional variables has on one of those variables. If we call our variables x and y, it gives us a measure of the variance in y that x alone shares.
- 11Spearman's Correlation CoefficientA standardized measure of the strength of relationship between two variables that does not rely on the assumptions of a parametric test. It is Pearson's correlation coefficient performed on data that have been converted into ranked scores.
- 12StandardizationThe process of converting a variable into a standard unit of measurement. The unit of measurement typically used is standard deviation units (see also z-scores). Standardization allows us to compare data when different units of measurement have been used (we could compare weight measured in kilograms to height measured in inches).
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- Psychology Flashcards on Stats Chap 7, created by Sarah Church on 08/10/2016.
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