Alpha factoring – ✔ANASWER✔-a method of factor
analysis.
−2LL – ✔ANASWER✔-the log-likelihood multiplied by
minus 2.
*used in logistic regression*
Biserial correlation coefficient – ✔ANASWER✔-Coefficient
used when one variable is a continuous dichotomy (e.g.,
has an underlying continuum between the categories).
α-level – ✔ANASWER✔-the probability of making a Type I
error (usually this value is 0.05).
Adjusted mean – ✔ANASWER✔-in the context of analysis
of covariance this is the value of the group mean adjusted
for the effect of the covariate.
Adjusted predicted value – ✔ANASWER✔-The predicted
value of a case from a model estimated without that case
included in the data, calculated by re-estimating the model
without the case in question, then using this new model to
predict the value of the excluded case.
*A measure of the influence of a particular case of data*
How to interpret adjusted predicted value –
✔ANASWER✔-If a case does not exert a large influence
over the model then its predicted value should be similar
regardless of whether the model was estimated including
or excluding that case.
