Víceúrovňový model závislosti PTI na stresu															
															
	Model 1														
Parametr	Odhad	SE													
Průsečík	15.28	0.43					"Průměry PTI se mezi třemi podmínkami stresu liší (F(2,196)=34,9, p < 0,01)."								
Stroop - klid*	3.29	0.51													
Stroop - NK*	-0.68	0.51													
															
Kovarianční parametry							Velikost účinku - parciální eta2 = 				0.255		"Převodem F dostaneme 0,263"		
Residuální rozptyl	12.8	1.3					"(reziduální rozptyl díky zařazení Stroop, klesl ze 17 na 12)"								
Rozptyl průsečíků	5.5	1.5													
							0.137512	:ruční Marginal R2							
Informační kritéria															
-2LL	1678.9						Variance explained by model								
AIC	1682.9						0.39781752		(celkový rozptyl si člověk vezme z modelz bez prediktorů)						
BIC	1690.3														
Počet parametrů	5						Standard error of estimate								
							3.576137302								
Poznámky. *Referenční kategorie je Konfliktní Stroop.															
							SD of intercepts								
							2.351212453								
															
															
	Rozptyly z random-intercept modelu bez prediktoru														
	Estimates of Covariance Parametersa														
	Parameter		Estimate	Std. Error											
	Residual		17.169340	1.725584	::výchozí odhad rozptylu uvnitř osob				0.191549642						
	Intercept [subject = ID]	Variance	4.068006	1.512382											
	a. Dependent Variable: PTI PTI klid.														
															
															
															
															
															
															
															
##### Sheet/List 2 #####
Celý model										Random means										Jen Stroop								
																												
Estimates of Fixed Effectsa										Estimates of Fixed Effectsa										Estimates of Fixed Effectsa								
Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval				Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval				Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval		
						Lower Bound	Upper Bound									Lower Bound	Upper Bound									Lower Bound	Upper Bound	
Intercept	15.76	0.73	253.3	21.7	0.000	14.3	17.2			Intercept	16.145525	0.312892	99	51.601	0.000	15.524680	16.766370			Intercept	15.277240	0.427961	251.232	35.698	0.000	14.434391	16.120089	
[Stroop=1]	3.54	0.86	198.0	4.1	0.000	1.8	5.2			a. Dependent Variable: PTI PTI.										[Stroop=1]	3.288459	0.505716	198	6.503	0.000	2.291177	4.285740	
[Stroop=2]	-0.42	0.86	198.0	-0.5	0.631	-2.1	1.3													[Stroop=2]	-0.683605	0.505716	198	-1.352	0.178	-1.680887	0.313677	
[Stroop=3]	0b	0.00																		[Stroop=3]	0b	0						
BDI	-0.06	0.08	253.3	-0.8	0.418	-0.2	0.1													a. Dependent Variable: PTI PTI.								
[Stroop=1] * BDI	-0.03	0.09	198.0	-0.4	0.721	-0.2	0.1													b. This parameter is set to zero because it is redundant.								
[Stroop=2] * BDI	-0.03	0.09	198.0	-0.4	0.703	-0.2	0.1																					
[Stroop=3] * BDI	0b	0																										
a. Dependent Variable: PTI PTI klid.																												
b. This parameter is set to zero because it is redundant.																												
																												
																												
Estimates of Covariance Parametersa										Estimates of Covariance Parametersa										Estimates of Covariance Parametersa								
Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval				Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval				Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval		
						Lower Bound	Upper Bound									Lower Bound	Upper Bound									Lower Bound	Upper Bound	
Residual		12.648	1.271	9.950	0.000	10.387	15.402			Residual		17.169340	1.725584	9.950	0.000	14.099530	20.907523			Residual		12.659579	1.272336	9.950	0.000	10.396096	15.415877	
Intercept [subject = ID]	Variance	5.256	1.411	3.724	0.000	3.105	8.896			Intercept [subject = ID]	Variance	3.969106	1.492853	2.659	0.008	1.899067	8.295546			Intercept [subject = ID]	Variance	5.472360	1.441399	3.797	0.000	3.265663	9.170181	
a. Dependent Variable: PTI PTI klid.										a. Dependent Variable: PTI PTI.										a. Dependent Variable: PTI PTI.								
																												
																												
Information Criteriaa										Information Criteriaa										Information Criteriaa								
-2 Log Likelihood	"1,676.6"									-2 Log Likelihood	"1,739.412"									-2 Log Likelihood	"1,679.079"							
Akaike's Information Criterion (AIC)	"1,692.6"									Akaike's Information Criterion (AIC)	"1,745.412"									Akaike's Information Criterion (AIC)	"1,689.079"							
Hurvich and Tsai's Criterion (AICC)	"1,693.1"									Hurvich and Tsai's Criterion (AICC)	"1,745.494"									Hurvich and Tsai's Criterion (AICC)	"1,689.285"							
Bozdogan's Criterion (CAIC)	"1,730.2"									Bozdogan's Criterion (CAIC)	"1,759.493"									Bozdogan's Criterion (CAIC)	"1,712.548"							
Schwarz's Bayesian Criterion (BIC)	"1,722.2"									Schwarz's Bayesian Criterion (BIC)	"1,756.493"									Schwarz's Bayesian Criterion (BIC)	"1,707.548"							
The information criteria are displayed in smaller-is-better form.										The information criteria are displayed in smaller-is-better form.										The information criteria are displayed in smaller-is-better form.								
a. Dependent Variable: PTI PTI klid.										a. Dependent Variable: PTI PTI.										a. Dependent Variable: PTI PTI.								
																												
																												
																												
										LR test																		
										-2LL Random means (NULL) - -2LL Model 	62.8																	
										df NULL - df Model	5																	
										p	0.0