Table III Hierarchical regression...

Table III

Hierarchical regression analysis for ITP, ITP and ITA, according to control level

	ITP (high control)		ITP (low control)		ITPa (high control)		ITPa (low control)		ITA (high control)		ITA (low control)
Variable	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2
Step 1						−0.18
Age	−0.4*	−0.39**	0.14	−0.17	−0.19	0.24	−0.53**	−0.60**	−0.51**	−0.51**	−0.48*	−0.56*
Gender	0.21	0.24**	0.15	0.13	0.21	−0.19	−0.07	−0.13	0.27*	0.28*	−0.04	−0.10
T.SUP	−0.35*	−0.33**	−0.04	−0.06	−0.20	0.01	−0.06	−0.13	−0.20	−0.20	0.03	−0.04
T.INS	0.10	0.08	0.08	0.11	0.02	0.06	0.33	0.40	0.17	0.17	0.16	0.23
CNFL	0.15	0.16	0.11	0.10	0.05	0.38	−0.14	−0.15	0.01	0.01	−0.30	−0.31
PROCU	0.41**	0.40**	0.28**	0.30**	0.39*	−0.20*	−0.10	−0.06	0.38*	0.38*	0.20**	0.24*
FITO	−0.26	−0.23	−0.38	−0.37	−0.22		−0.15	−0.13	−0.18	−0.17	−0.24	−0.22
Step 2
TEL		−0.14		0.09		−0.10		0.24*		−0.05		0.24*
R²	0.38	0.40	0.32	0.32	0.24	0.25	0.15	0.19	0.35	0.35	0.30	0.35
Adjusted R²	0.29	0.29	0.24	0.24	0.14	0.13	0.06	0.10	0.26	0.24	0.23	0.27
F	4.30**	4.0**	4.6**	4.10**	2.20	2.03	1.76	2.20*	2.80**	3.25**	4.40**	4.70**
df	49	48	72	71	49	48	72	71	49	48	72	71

	ITP (high control)		ITP (low control)		ITPa (high control)		ITPa (low control)		ITA (high control)		ITA (low control)
Variable	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2
Step 1						−0.18
Age	−0.4*	−0.39**	0.14	−0.17	−0.19	0.24	−0.53**	−0.60**	−0.51**	−0.51**	−0.48*	−0.56*
Gender	0.21	0.24**	0.15	0.13	0.21	−0.19	−0.07	−0.13	0.27*	0.28*	−0.04	−0.10
T.SUP	−0.35*	−0.33**	−0.04	−0.06	−0.20	0.01	−0.06	−0.13	−0.20	−0.20	0.03	−0.04
T.INS	0.10	0.08	0.08	0.11	0.02	0.06	0.33	0.40	0.17	0.17	0.16	0.23
CNFL	0.15	0.16	0.11	0.10	0.05	0.38	−0.14	−0.15	0.01	0.01	−0.30	−0.31
PROCU	0.41**	0.40**	0.28**	0.30**	0.39*	−0.20*	−0.10	−0.06	0.38*	0.38*	0.20**	0.24*
FITO	−0.26	−0.23	−0.38	−0.37	−0.22		−0.15	−0.13	−0.18	−0.17	−0.24	−0.22
Step 2
TEL		−0.14		0.09		−0.10		0.24*		−0.05		0.24*
R²	0.38	0.40	0.32	0.32	0.24	0.25	0.15	0.19	0.35	0.35	0.30	0.35
Adjusted R²	0.29	0.29	0.24	0.24	0.14	0.13	0.06	0.10	0.26	0.24	0.23	0.27
F	4.30**	4.0**	4.6**	4.10**	2.20	2.03	1.76	2.20*	2.80**	3.25**	4.40**	4.70**
df	49	48	72	71	49	48	72	71	49	48	72	71

Notes: Models with ITP and ITA as dependent variables were estimated with robust errors of Hubber and White to solve biases in heteroscedasticity values represent standarized coefficients. *p<0.05; **p<0.10

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