In the indicator matrix approach, associations between variables are uncovered by calculating the chi-square distance between different categories of the variables and between the individuals (or respondents).
This null model almost always contains a model in which all of the variables are uncorrelated, and as a result, has a very large chi-square (indicating poor fit).
In general, estimations of the appropriate efs depends on the statistic estimated, as for example, mean, chi-square, r, regression coefficient, and their variances.
A chi-square analysis of the results suggested those differences had an 87 percent chance of being related to the video format, and a 13 percent chance of being random.