In factor analysis, the sum of the squares of the common factor loadings for a variable, or communality,is how much of this value is shared with other variables. An assumption about the homogeneity of thismeasure can be evaluated using Hartley's F-max test. This measure is conventionally defined as theexpected value of the square of a random variable minus the square of the expected value of a randomvariable, or the second moment of the distribution minus the square of t
In factor analysis, the sum of the squares of the common factor loadings for a variable, or communality,is how much of this value is shared with other variables. An assumption about the homogeneity of thismeasure can be evaluated using Hartley's F-max test. This measure is conventionally defined as theexpected value of the square of a random variable minus the square of the expected value of a randomvariable, or the second moment of the distribution minus the square of the mean. The coefficient ofdetermination, or R 2 , is the percentage of this value for one variable that is accounted for by this value foranother variable. For 10 points, identify this statistical measure represented by sigma squared that is thesquare of standard deviation.
In factor analysis, the sum of the squares of the common factor loadings for a variable, or communality,is how much of this value is shared with other variables.
variance