Hi All,
I am running time-series expert modeler to look at the relationship between
movement towards goals and positive affect at one time point predicting
effort on those same goals in future time points. My measures involve affect
and goal progress, sampled 3 times each day for 21 days (yielding a total of
63 time points per person). In running a model with goal progress and
positive affect as the IVs and effort planned as the DV, I get various
indices of model fit.
I was wondering if anyone could help me interpret the following:
Ljung-Box Statistic = 25.137, df = 17, p = .092
Stationary R-squared = .518
R-squared = .518
Number of Predictors = 1
RMSE = .621
MAPE = 28.849
MaxAPE = 97.831
MAE = .463
MaxAE = 1.642
Normalized BIC = -.749
That is, what are the best indicators of model fit in this case and, are
these acceptable levels of model fit?
I'm sorry for the ignorance... I find it extremely difficult finding good
consultation on time-series.
Thanks!
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD
Locked
