A limitation of causal modeling is that A) even when all ...

[Alainaaa8]

A limitation of causal modeling is that
 
  A) even when all predicted paths are significant, there is an overall good fit, and the significance test is as expected, it is possible that there are other patterns of causality that work better.
  B) only the cause is examined, and comparisons and linkages between the different variables are impossible.
  C) it cannot be done very easily on a computer.
  D) path diagrams are rarely accurate and often give a false picture, tending to suggest that the true linkages are among the measured variables, whereas they are usually among the latent variables.

Question 2

You are evaluating a non-directional hypothesis at the .01 significance level using a t test for a single sample. If there are 16 people in the sample, the cutoff score (critical value) needed is __________.
 
  Fill in the blanks with correct word

[Jayson]

Answer to Question 1

A

Answer to Question 2

2.947

[Alainaaa8]

Excellent

[Animal_Goddess]

Thanks for the timely response, appreciate it