Results

Descriptives

Descriptives

N
Missing
Mean
Median
Standard deviation
Minimum
Maximum

Descriptives

Descriptives
	Universalism	Stimulation	Achievement	Benevolence	Conformity	Hedonism	Power	Security	SelfDirection	Tradition
N	89	89	89	89	89	89	89	89	89	89
Missing	0	0	0	0	0	0	0	0	0	0
Mean	60.3	71.9	59.2	45.1	43.6	55.9	55.2	52.1	56.2	51.8
Median	70	80	60	50	40	60	50	50	60	50
Standard deviation	27.8	19.4	23.7	28.7	28.9	24.7	22.4	23.1	25.2	28.4
Minimum	1	20	5	1	1	5	5	5	1	1
Maximum	100	100	100	100	100	100	100	100	100	100

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		0.818

[3]

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		.

[3]

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		.

[3]

Descriptives

Descriptives
		Age
N		79
Mean		47.9
Standard deviation		12.3
Minimum		24
Maximum		75

Frequencies

Frequencies of Age
Age	Counts	% of Total	Cumulative %
24	1	1.3 %	1.3 %
25	1	1.3 %	2.5 %
26	2	2.5 %	5.1 %
28	1	1.3 %	6.3 %
30	2	2.5 %	8.9 %
32	2	2.5 %	11.4 %
33	1	1.3 %	12.7 %
35	1	1.3 %	13.9 %
36	3	3.8 %	17.7 %
37	3	3.8 %	21.5 %
38	5	6.3 %	27.8 %
39	1	1.3 %	29.1 %
40	1	1.3 %	30.4 %
41	1	1.3 %	31.6 %
42	4	5.1 %	36.7 %
43	1	1.3 %	38.0 %
44	4	5.1 %	43.0 %
45	3	3.8 %	46.8 %
47	3	3.8 %	50.6 %
48	2	2.5 %	53.2 %
49	2	2.5 %	55.7 %
50	2	2.5 %	58.2 %
51	3	3.8 %	62.0 %
52	1	1.3 %	63.3 %
54	3	3.8 %	67.1 %
55	3	3.8 %	70.9 %
56	2	2.5 %	73.4 %
57	1	1.3 %	74.7 %
58	3	3.8 %	78.5 %
59	3	3.8 %	82.3 %
60	5	6.3 %	88.6 %
62	1	1.3 %	89.9 %
65	1	1.3 %	91.1 %
66	1	1.3 %	92.4 %
70	4	5.1 %	97.5 %
74	1	1.3 %	98.7 %
75	1	1.3 %	100.0 %

Descriptives

Descriptives

N

Descriptives

Frequencies

Frequencies of Gender
Gender	Counts	% of Total	Cumulative %
Female	52	58.4 %	58.4 %
Male	37	41.6 %	100.0 %

Descriptives

Descriptives

N
Missing

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		0.701

[3]

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		0.453

[3]

Reliability Analysis

Scale Reliability Statistics
		Cronbach's α
scale		0.701

[3]

Correlation Matrix

Correlation Matrix
		MC	COG	MOT	BEH	VD	TA
MC	Pearson's r	—
	df	—
	p-value	—
COG	Pearson's r	0.165	—
	df	87	—
	p-value	0.122	—
MOT	Pearson's r	0.282	0.454	—
	df	87	87	—
	p-value	0.007	< .001	—
BEH	Pearson's r	0.267	0.229	0.362	—
	df	87	87	87	—
	p-value	0.012	0.031	< .001	—
VD	Pearson's r	-0.310	-0.017	0.001	0.042	—
	df	87	87	87	87	—
	p-value	0.003	0.874	0.991	0.695	—
TA	Pearson's r	0.227	0.513	0.491	0.211	0.062	—
	df	87	87	87	87	87	—
	p-value	0.033	< .001	< .001	0.048	0.563	—

Linear Regression

Model Fit Measures
Model	R	R²
1	.	.

Model Coefficients - …
Predictor	Estimate	SE	t	p
Intercept	.	.	.	.

Exploratory Factor Analysis

Factor Loadings
	Factor
	1	2	3	Uniqueness
Universalism			0.575	0.712
Stimulation			0.578	0.677
Achievement			0.608	0.622
Benevolence		0.906		0.184
Conformity		0.897		0.266
Hedonism			0.328	0.559
Power	0.536			0.673
Security	0.730			0.494
SelfDirection	0.661			0.515
Tradition	0.768			0.493
Note. 'Minimum residual' extraction method was used in combination with a 'promax' rotation

[3]

Confirmatory Factor Analysis

Factor Loadings
Factor	Indicator	Estimate	SE	Z	p
Factor 1	Universalism	7.82	3.16	2.48	0.013
	Stimulation	6.86	2.15	3.19	0.001
	Achievement	9.59	2.60	3.69	< .001
	Benevolence	22.36	2.90	7.70	< .001
	Conformity	21.20	2.99	7.08	< .001
	Hedonism	15.97	2.50	6.39	< .001
	Power	11.15	2.44	4.57	< .001
	Security	13.55	2.48	5.47	< .001
	SelfDirection	15.36	2.69	5.71	< .001
	Tradition	15.92	3.06	5.20	< .001

[4]

Factor Estimates

Factor Covariances
		Estimate		SE	Z	p
Factor 1	Factor 1	1.00	ᵃ
ᵃ fixed parameter

Model Fit

Test for Exact Fit
χ²	df	p
88.0	35	< .001

Fit Measures
			RMSEA 90% CI
CFI	TLI	RMSEA	Lower	Upper
0.788	0.728	0.130	0.0967	0.165

Confirmatory Factor Analysis

Factor Loadings
Factor	Indicator	Estimate	SE	Z	p
Value Diversity	Universalism	7.82	3.16	2.48	0.013
	Stimulation	6.86	2.15	3.19	0.001
	Achievement	9.59	2.60	3.69	< .001
	Benevolence	22.36	2.90	7.70	< .001
	Conformity	21.20	2.99	7.08	< .001
	Hedonism	15.97	2.50	6.39	< .001
	Power	11.15	2.44	4.57	< .001
	Security	13.55	2.48	5.47	< .001
	SelfDirection	15.36	2.69	5.71	< .001
	Tradition	15.92	3.06	5.20	< .001

[4]

Factor Estimates

Factor Covariances
		Estimate		SE	Z	p
Value Diversity	Value Diversity	1.00	ᵃ
ᵃ fixed parameter

Model Fit

Test for Exact Fit
χ²	df	p
88.0	35	< .001

Fit Measures
				RMSEA 90% CI
CFI	TLI	SRMR	RMSEA	Lower	Upper
0.788	0.728	0.0822	0.130	0.0967	0.165

Confirmatory Factor Analysis

Factor Loadings
Factor		Indicator		Estimate		SE		Z		p

[4]

Factor Estimates

Factor Covariances
		Estimate		SE	Z	p
Factor 1	Factor 1	1.00	ᵃ
ᵃ fixed parameter

Model Fit

Test for Exact Fit
χ²	df	p
.	.	.

Fit Measures
			RMSEA 90% CI
CFI	TLI	RMSEA	Lower	Upper
.	.	.	.	.

Confirmatory Factor Analysis

Factor Loadings
Factor	Indicator	Estimate	SE	Z	p
Value Diversity	Universalism	7.82	3.16	2.48	0.013
	Stimulation	6.86	2.15	3.19	0.001
	Achievement	9.59	2.60	3.69	< .001
	Benevolence	22.36	2.90	7.70	< .001
	Conformity	21.20	2.99	7.08	< .001
	Hedonism	15.97	2.50	6.39	< .001
	Power	11.15	2.44	4.57	< .001
	Security	13.55	2.48	5.47	< .001
	SelfDirection	15.36	2.69	5.71	< .001
	Tradition	15.92	3.06	5.20	< .001

[4]

Factor Estimates

Factor Covariances
		Estimate		SE	Z	p
Value Diversity	Value Diversity	1.00	ᵃ
ᵃ fixed parameter

Model Fit

Test for Exact Fit
χ²	df	p
88.0	35	< .001

Fit Measures
				RMSEA 90% CI
CFI	TLI	SRMR	RMSEA	Lower	Upper	AIC
0.788	0.728	0.0822	0.130	0.0967	0.165	8101

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Modelling

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Descriptives

Descriptives
	VD	TA	MC	COG	MOT	BEH
Mean	55.1	3.73	5.60	5.15	6.01	5.12
Median	56.0	3.75	5.75	5.17	6.00	5.20
Standard deviation	15.6	0.463	0.942	1.06	0.656	1.22

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
.		.
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
.		.
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Variable name not allowed for variables: library(lavaan),fit <- sem(model, data,results-survey2999565-ONLYFULL),summary(fit). Please remove characters that are not letters, numbers, dot or underline. Letters may be defined differently in different locales.

Models Info



[5] [6]

Overall Tests

Model tests
Label	X²	df	p

Fit indices
SRMR	RMSEA	Lower	Upper	RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p

Path Model

Structural Equation Modelling

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
.		.
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Models

Variable name not allowed for variables: fit <- sem(model),summary(fit). Please remove characters that are not letters, numbers, dot or underline. Letters may be defined differently in different locales.

Models Info



[5] [6]

Overall Tests

Model tests
Label	X²	df	p

Fit indices
SRMR	RMSEA	Lower	Upper	RMSEA p

User model versus baseline model
		Model
.		.
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Estimates

Variances and Covariances
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p

Path Model

Structural Equation Modelling

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label		X²		df		p

Fit indices
SRMR		RMSEA		Lower		Upper		RMSEA p

User model versus baseline model
		Model
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Estimates

Variances and Covariances
Variable 1		Variable 2		Estimate		SE		Lower		Upper		β		z		p

Structural Equation Modelling

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	141
Standard errors
Scaled Test
Converged
Iterations

Model	ValueDiversity =~ Universalism + Stimulation + Achievement + Benevolence + Conformity + Hedonism + Power + Security + SelfDirection + Tradition
	Metacognitive =~ MC1 + MC2 + MC3 + MC4
	Cognitive =~ COG1 + COG2 + COG3 + COG4 + COG5 + COG6
	Motivation =~ MOT1 + MOT2 + MOT3 + MOT4 + MOT5
	Behavioral =~ BEH1 + BEH2 + BEH3 + BEH4 + BEH5
	ToleranceAmbiguity =~ TA1_VDO1 + TA2_VDO2 + TA3_VDO3 + TA4_C1 + TA5_C2 + TA6_C3 + TA7_C4 + TA8_CP1 + TA9_CP2 + TA10_CP3 + TA11_U1 + TA12_U2
	Metacognitive ~ ValueDiversity
	Cognitive ~ ValueDiversity
	Motivation ~ ValueDiversity
	Behavioral ~ ValueDiversity
	ToleranceAmbiguity ~ ValueDiversity
	Metacognitive ~ ToleranceAmbiguity
	Cognitive ~ ToleranceAmbiguity
	Motivation ~ ToleranceAmbiguity
	Behavioral ~ ToleranceAmbiguity


[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Parameters estimates
				95% Confidence Intervals
Dep	Pred	Estimate	SE	Lower	Upper	β	z	p
Metacognitive	ValueDiversity	.	.	.	.	.	.	.
Cognitive	ValueDiversity	.	.	.	.	.	.	.
Motivation	ValueDiversity	.	.	.	.	.	.	.
Behavioral	ValueDiversity	.	.	.	.	.	.	.
ToleranceAmbiguity	ValueDiversity	.	.	.	.	.	.	.
Metacognitive	ToleranceAmbiguity	.	.	.	.	.	.	.
Cognitive	ToleranceAmbiguity	.	.	.	.	.	.	.
Motivation	ToleranceAmbiguity	.	.	.	.	.	.	.
Behavioral	ToleranceAmbiguity	.	.	.	.	.	.	.

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
ValueDiversity	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.
Metacognitive	MC1	.	.	.	.	.	.	.
	MC2	.	.	.	.	.	.	.
	MC3	.	.	.	.	.	.	.
	MC4	.	.	.	.	.	.	.
Cognitive	COG1	.	.	.	.	.	.	.
	COG2	.	.	.	.	.	.	.
	COG3	.	.	.	.	.	.	.
	COG4	.	.	.	.	.	.	.
	COG5	.	.	.	.	.	.	.
	COG6	.	.	.	.	.	.	.
Motivation	MOT1	.	.	.	.	.	.	.
	MOT2	.	.	.	.	.	.	.
	MOT3	.	.	.	.	.	.	.
	MOT4	.	.	.	.	.	.	.
	MOT5	.	.	.	.	.	.	.
Behavioral	BEH1	.	.	.	.	.	.	.
	BEH2	.	.	.	.	.	.	.
	BEH3	.	.	.	.	.	.	.
	BEH4	.	.	.	.	.	.	.
	BEH5	.	.	.	.	.	.	.
ToleranceAmbiguity	TA1_VDO1	.	.	.	.	.	.	.
	TA2_VDO2	.	.	.	.	.	.	.
	TA3_VDO3	.	.	.	.	.	.	.
	TA4_C1	.	.	.	.	.	.	.
	TA5_C2	.	.	.	.	.	.	.
	TA6_C3	.	.	.	.	.	.	.
	TA7_C4	.	.	.	.	.	.	.
	TA8_CP1	.	.	.	.	.	.	.
	TA9_CP2	.	.	.	.	.	.	.
	TA10_CP3	.	.	.	.	.	.	.
	TA11_U1	.	.	.	.	.	.	.
	TA12_U2	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
MC1	MC1	.	.	.	.	.	.	.
MC2	MC2	.	.	.	.	.	.	.
MC3	MC3	.	.	.	.	.	.	.
MC4	MC4	.	.	.	.	.	.	.
COG1	COG1	.	.	.	.	.	.	.
COG2	COG2	.	.	.	.	.	.	.
COG3	COG3	.	.	.	.	.	.	.
COG4	COG4	.	.	.	.	.	.	.
COG5	COG5	.	.	.	.	.	.	.
COG6	COG6	.	.	.	.	.	.	.
MOT1	MOT1	.	.	.	.	.	.	.
MOT2	MOT2	.	.	.	.	.	.	.
MOT3	MOT3	.	.	.	.	.	.	.
MOT4	MOT4	.	.	.	.	.	.	.
MOT5	MOT5	.	.	.	.	.	.	.
BEH1	BEH1	.	.	.	.	.	.	.
BEH2	BEH2	.	.	.	.	.	.	.
BEH3	BEH3	.	.	.	.	.	.	.
BEH4	BEH4	.	.	.	.	.	.	.
BEH5	BEH5	.	.	.	.	.	.	.
TA1_VDO1	TA1_VDO1	.	.	.	.	.	.	.
TA2_VDO2	TA2_VDO2	.	.	.	.	.	.	.
TA3_VDO3	TA3_VDO3	.	.	.	.	.	.	.
TA4_C1	TA4_C1	.	.	.	.	.	.	.
TA5_C2	TA5_C2	.	.	.	.	.	.	.
TA6_C3	TA6_C3	.	.	.	.	.	.	.
TA7_C4	TA7_C4	.	.	.	.	.	.	.
TA8_CP1	TA8_CP1	.	.	.	.	.	.	.
TA9_CP2	TA9_CP2	.	.	.	.	.	.	.
TA10_CP3	TA10_CP3	.	.	.	.	.	.	.
TA11_U1	TA11_U1	.	.	.	.	.	.	.
TA12_U2	TA12_U2	.	.	.	.	.	.	.
ValueDiversity	ValueDiversity	.	.	.	.	.	.	.
Metacognitive	Metacognitive	.	.	.	.	.	.	.
Cognitive	Cognitive	.	.	.	.	.	.	.
Motivation	Motivation	.	.	.	.	.	.	.
Behavioral	Behavioral	.	.	.	.	.	.	.
ToleranceAmbiguity	ToleranceAmbiguity	.	.	.	.	.	.	.
Metacognitive	Cognitive	.	.	.	.	.	.	.
Metacognitive	Motivation	.	.	.	.	.	.	.
Metacognitive	Behavioral	.	.	.	.	.	.	.
Cognitive	Motivation	.	.	.	.	.	.	.
Cognitive	Behavioral	.	.	.	.	.	.	.
Motivation	Behavioral	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
MC1	.	.	.	.	.	.
MC2	.	.	.	.	.	.
MC3	.	.	.	.	.	.
MC4	.	.	.	.	.	.
COG1	.	.	.	.	.	.
COG2	.	.	.	.	.	.
COG3	.	.	.	.	.	.
COG4	.	.	.	.	.	.
COG5	.	.	.	.	.	.
COG6	.	.	.	.	.	.
MOT1	.	.	.	.	.	.
MOT2	.	.	.	.	.	.
MOT3	.	.	.	.	.	.
MOT4	.	.	.	.	.	.
MOT5	.	.	.	.	.	.
BEH1	.	.	.	.	.	.
BEH2	.	.	.	.	.	.
BEH3	.	.	.	.	.	.
BEH4	.	.	.	.	.	.
BEH5	.	.	.	.	.	.
TA1_VDO1	.	.	.	.	.	.
TA2_VDO2	.	.	.	.	.	.
TA3_VDO3	.	.	.	.	.	.
TA4_C1	.	.	.	.	.	.
TA5_C2	.	.	.	.	.	.
TA6_C3	.	.	.	.	.	.
TA7_C4	.	.	.	.	.	.
TA8_CP1	.	.	.	.	.	.
TA9_CP2	.	.	.	.	.	.
TA10_CP3	.	.	.	.	.	.
TA11_U1	.	.	.	.	.	.
TA12_U2	.	.	.	.	.	.
ValueDiversity	.	.	.	.	.	.
Metacognitive	.	.	.	.	.	.
Cognitive	.	.	.	.	.	.
Motivation	.	.	.	.	.	.
Behavioral	.	.	.	.	.	.
ToleranceAmbiguity	.	.	.	.	.	.

Path Model

Path diagrams

[7]

Structural Equation Modelling

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	141
Standard errors
Scaled Test
Converged
Iterations

Model	Value_Diversity =~ Universalism + Stimulation + Achievement + Benevolence + Conformity + Hedonism + Power + Security + SelfDirection + Tradition
	Metacognitive =~ MC1 + MC2 + MC3 + MC4
	Cognitive =~ COG1 + COG2 + COG3 + COG4 + COG5 + COG6
	Motivation =~ MOT1 + MOT2 + MOT3 + MOT4 + MOT5
	Behavioral =~ BEH1 + BEH2 + BEH3 + BEH4 + BEH5
	Tolerance_Ambiguity =~ TA1_VDO1 + TA2_VDO2 + TA3_VDO3 + TA4_C1 + TA5_C2 + TA6_C3 + TA7_C4 + TA8_CP1 + TA9_CP2 + TA10_CP3 + TA11_U1 + TA12_U2

	Metacognitive ~ Value_Diversity
	Cognitive ~ Value_Diversity
	Motivation ~ Value_Diversity
	Behavioral ~ Value_Diversity
	Tolerance_Ambiguity ~ Value_Diversity
	Metacognitive ~ Tolerance_Ambiguity
	Cognitive ~ Tolerance_Ambiguity
	Motivation ~ Tolerance_Ambiguity
	Behavioral ~ Tolerance_Ambiguity


[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Parameters estimates
				95% Confidence Intervals
Dep	Pred	Estimate	SE	Lower	Upper	β	z	p
Metacognitive	Value_Diversity	.	.	.	.	.	.	.
Cognitive	Value_Diversity	.	.	.	.	.	.	.
Motivation	Value_Diversity	.	.	.	.	.	.	.
Behavioral	Value_Diversity	.	.	.	.	.	.	.
Tolerance_Ambiguity	Value_Diversity	.	.	.	.	.	.	.
Metacognitive	Tolerance_Ambiguity	.	.	.	.	.	.	.
Cognitive	Tolerance_Ambiguity	.	.	.	.	.	.	.
Motivation	Tolerance_Ambiguity	.	.	.	.	.	.	.
Behavioral	Tolerance_Ambiguity	.	.	.	.	.	.	.

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
Value_Diversity	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.
Metacognitive	MC1	.	.	.	.	.	.	.
	MC2	.	.	.	.	.	.	.
	MC3	.	.	.	.	.	.	.
	MC4	.	.	.	.	.	.	.
Cognitive	COG1	.	.	.	.	.	.	.
	COG2	.	.	.	.	.	.	.
	COG3	.	.	.	.	.	.	.
	COG4	.	.	.	.	.	.	.
	COG5	.	.	.	.	.	.	.
	COG6	.	.	.	.	.	.	.
Motivation	MOT1	.	.	.	.	.	.	.
	MOT2	.	.	.	.	.	.	.
	MOT3	.	.	.	.	.	.	.
	MOT4	.	.	.	.	.	.	.
	MOT5	.	.	.	.	.	.	.
Behavioral	BEH1	.	.	.	.	.	.	.
	BEH2	.	.	.	.	.	.	.
	BEH3	.	.	.	.	.	.	.
	BEH4	.	.	.	.	.	.	.
	BEH5	.	.	.	.	.	.	.
Tolerance_Ambiguity	TA1_VDO1	.	.	.	.	.	.	.
	TA2_VDO2	.	.	.	.	.	.	.
	TA3_VDO3	.	.	.	.	.	.	.
	TA4_C1	.	.	.	.	.	.	.
	TA5_C2	.	.	.	.	.	.	.
	TA6_C3	.	.	.	.	.	.	.
	TA7_C4	.	.	.	.	.	.	.
	TA8_CP1	.	.	.	.	.	.	.
	TA9_CP2	.	.	.	.	.	.	.
	TA10_CP3	.	.	.	.	.	.	.
	TA11_U1	.	.	.	.	.	.	.
	TA12_U2	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
MC1	MC1	.	.	.	.	.	.	.
MC2	MC2	.	.	.	.	.	.	.
MC3	MC3	.	.	.	.	.	.	.
MC4	MC4	.	.	.	.	.	.	.
COG1	COG1	.	.	.	.	.	.	.
COG2	COG2	.	.	.	.	.	.	.
COG3	COG3	.	.	.	.	.	.	.
COG4	COG4	.	.	.	.	.	.	.
COG5	COG5	.	.	.	.	.	.	.
COG6	COG6	.	.	.	.	.	.	.
MOT1	MOT1	.	.	.	.	.	.	.
MOT2	MOT2	.	.	.	.	.	.	.
MOT3	MOT3	.	.	.	.	.	.	.
MOT4	MOT4	.	.	.	.	.	.	.
MOT5	MOT5	.	.	.	.	.	.	.
BEH1	BEH1	.	.	.	.	.	.	.
BEH2	BEH2	.	.	.	.	.	.	.
BEH3	BEH3	.	.	.	.	.	.	.
BEH4	BEH4	.	.	.	.	.	.	.
BEH5	BEH5	.	.	.	.	.	.	.
TA1_VDO1	TA1_VDO1	.	.	.	.	.	.	.
TA2_VDO2	TA2_VDO2	.	.	.	.	.	.	.
TA3_VDO3	TA3_VDO3	.	.	.	.	.	.	.
TA4_C1	TA4_C1	.	.	.	.	.	.	.
TA5_C2	TA5_C2	.	.	.	.	.	.	.
TA6_C3	TA6_C3	.	.	.	.	.	.	.
TA7_C4	TA7_C4	.	.	.	.	.	.	.
TA8_CP1	TA8_CP1	.	.	.	.	.	.	.
TA9_CP2	TA9_CP2	.	.	.	.	.	.	.
TA10_CP3	TA10_CP3	.	.	.	.	.	.	.
TA11_U1	TA11_U1	.	.	.	.	.	.	.
TA12_U2	TA12_U2	.	.	.	.	.	.	.
Value_Diversity	Value_Diversity	.	.	.	.	.	.	.
Metacognitive	Metacognitive	.	.	.	.	.	.	.
Cognitive	Cognitive	.	.	.	.	.	.	.
Motivation	Motivation	.	.	.	.	.	.	.
Behavioral	Behavioral	.	.	.	.	.	.	.
Tolerance_Ambiguity	Tolerance_Ambiguity	.	.	.	.	.	.	.
Metacognitive	Cognitive	.	.	.	.	.	.	.
Metacognitive	Motivation	.	.	.	.	.	.	.
Metacognitive	Behavioral	.	.	.	.	.	.	.
Cognitive	Motivation	.	.	.	.	.	.	.
Cognitive	Behavioral	.	.	.	.	.	.	.
Motivation	Behavioral	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
MC1	.	.	.	.	.	.
MC2	.	.	.	.	.	.
MC3	.	.	.	.	.	.
MC4	.	.	.	.	.	.
COG1	.	.	.	.	.	.
COG2	.	.	.	.	.	.
COG3	.	.	.	.	.	.
COG4	.	.	.	.	.	.
COG5	.	.	.	.	.	.
COG6	.	.	.	.	.	.
MOT1	.	.	.	.	.	.
MOT2	.	.	.	.	.	.
MOT3	.	.	.	.	.	.
MOT4	.	.	.	.	.	.
MOT5	.	.	.	.	.	.
BEH1	.	.	.	.	.	.
BEH2	.	.	.	.	.	.
BEH3	.	.	.	.	.	.
BEH4	.	.	.	.	.	.
BEH5	.	.	.	.	.	.
TA1_VDO1	.	.	.	.	.	.
TA2_VDO2	.	.	.	.	.	.
TA3_VDO3	.	.	.	.	.	.
TA4_C1	.	.	.	.	.	.
TA5_C2	.	.	.	.	.	.
TA6_C3	.	.	.	.	.	.
TA7_C4	.	.	.	.	.	.
TA8_CP1	.	.	.	.	.	.
TA9_CP2	.	.	.	.	.	.
TA10_CP3	.	.	.	.	.	.
TA11_U1	.	.	.	.	.	.
TA12_U2	.	.	.	.	.	.
Value_Diversity	.	.	.	.	.	.
Metacognitive	.	.	.	.	.	.
Cognitive	.	.	.	.	.	.
Motivation	.	.	.	.	.	.
Behavioral	.	.	.	.	.	.
Tolerance_Ambiguity	.	.	.	.	.	.

Structural Equation Models

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	30
Standard errors
Scaled Test
Converged
Iterations

Model	Value_Diversity=~Universalism+Stimulation+Achievement+Benevolence+Conformity+Hedonism+Power+Security+SelfDirection+Tradition



[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
Value_Diversity	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
Value_Diversity	Value_Diversity	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
Value_Diversity	.	.	.	.	.	.

Path Model

Path diagrams

[7]

Structural Equation Models

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	141
Standard errors
Scaled Test
Converged
Iterations

Model	ValueDiversity=~Universalism+Stimulation+Achievement+Benevolence+Conformity+Hedonism+Power+Security+SelfDirection+Tradition
	Metacognitive=~MC1+MC2+MC3+MC4
	Cognitive=~COG1+COG2+COG3+COG4+COG5+COG6
	Motivation=~MOT1+MOT2+MOT3+MOT4+MOT5
	Behavior=~BEH1+BEH2+BEH3+BEH4+BEH5
	AmbiguityTolerance=~TA1_VDO1+TA2_VDO2+TA3_VDO3+TA4_C1+TA5_C2+TA6_C3+TA7_C4+TA8_CP1+TA9_CP2+TA10_CP3+TA11_U1+TA12_U2



[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
ValueDiversity	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.
Metacognitive	MC1	.	.	.	.	.	.	.
	MC2	.	.	.	.	.	.	.
	MC3	.	.	.	.	.	.	.
	MC4	.	.	.	.	.	.	.
Cognitive	COG1	.	.	.	.	.	.	.
	COG2	.	.	.	.	.	.	.
	COG3	.	.	.	.	.	.	.
	COG4	.	.	.	.	.	.	.
	COG5	.	.	.	.	.	.	.
	COG6	.	.	.	.	.	.	.
Motivation	MOT1	.	.	.	.	.	.	.
	MOT2	.	.	.	.	.	.	.
	MOT3	.	.	.	.	.	.	.
	MOT4	.	.	.	.	.	.	.
	MOT5	.	.	.	.	.	.	.
Behavior	BEH1	.	.	.	.	.	.	.
	BEH2	.	.	.	.	.	.	.
	BEH3	.	.	.	.	.	.	.
	BEH4	.	.	.	.	.	.	.
	BEH5	.	.	.	.	.	.	.
AmbiguityTolerance	TA1_VDO1	.	.	.	.	.	.	.
	TA2_VDO2	.	.	.	.	.	.	.
	TA3_VDO3	.	.	.	.	.	.	.
	TA4_C1	.	.	.	.	.	.	.
	TA5_C2	.	.	.	.	.	.	.
	TA6_C3	.	.	.	.	.	.	.
	TA7_C4	.	.	.	.	.	.	.
	TA8_CP1	.	.	.	.	.	.	.
	TA9_CP2	.	.	.	.	.	.	.
	TA10_CP3	.	.	.	.	.	.	.
	TA11_U1	.	.	.	.	.	.	.
	TA12_U2	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
MC1	MC1	.	.	.	.	.	.	.
MC2	MC2	.	.	.	.	.	.	.
MC3	MC3	.	.	.	.	.	.	.
MC4	MC4	.	.	.	.	.	.	.
COG1	COG1	.	.	.	.	.	.	.
COG2	COG2	.	.	.	.	.	.	.
COG3	COG3	.	.	.	.	.	.	.
COG4	COG4	.	.	.	.	.	.	.
COG5	COG5	.	.	.	.	.	.	.
COG6	COG6	.	.	.	.	.	.	.
MOT1	MOT1	.	.	.	.	.	.	.
MOT2	MOT2	.	.	.	.	.	.	.
MOT3	MOT3	.	.	.	.	.	.	.
MOT4	MOT4	.	.	.	.	.	.	.
MOT5	MOT5	.	.	.	.	.	.	.
BEH1	BEH1	.	.	.	.	.	.	.
BEH2	BEH2	.	.	.	.	.	.	.
BEH3	BEH3	.	.	.	.	.	.	.
BEH4	BEH4	.	.	.	.	.	.	.
BEH5	BEH5	.	.	.	.	.	.	.
TA1_VDO1	TA1_VDO1	.	.	.	.	.	.	.
TA2_VDO2	TA2_VDO2	.	.	.	.	.	.	.
TA3_VDO3	TA3_VDO3	.	.	.	.	.	.	.
TA4_C1	TA4_C1	.	.	.	.	.	.	.
TA5_C2	TA5_C2	.	.	.	.	.	.	.
TA6_C3	TA6_C3	.	.	.	.	.	.	.
TA7_C4	TA7_C4	.	.	.	.	.	.	.
TA8_CP1	TA8_CP1	.	.	.	.	.	.	.
TA9_CP2	TA9_CP2	.	.	.	.	.	.	.
TA10_CP3	TA10_CP3	.	.	.	.	.	.	.
TA11_U1	TA11_U1	.	.	.	.	.	.	.
TA12_U2	TA12_U2	.	.	.	.	.	.	.
ValueDiversity	ValueDiversity	.	.	.	.	.	.	.
Metacognitive	Metacognitive	.	.	.	.	.	.	.
Cognitive	Cognitive	.	.	.	.	.	.	.
Motivation	Motivation	.	.	.	.	.	.	.
Behavior	Behavior	.	.	.	.	.	.	.
AmbiguityTolerance	AmbiguityTolerance	.	.	.	.	.	.	.
ValueDiversity	Metacognitive	.	.	.	.	.	.	.
ValueDiversity	Cognitive	.	.	.	.	.	.	.
ValueDiversity	Motivation	.	.	.	.	.	.	.
ValueDiversity	Behavior	.	.	.	.	.	.	.
ValueDiversity	AmbiguityTolerance	.	.	.	.	.	.	.
Metacognitive	Cognitive	.	.	.	.	.	.	.
Metacognitive	Motivation	.	.	.	.	.	.	.
Metacognitive	Behavior	.	.	.	.	.	.	.
Metacognitive	AmbiguityTolerance	.	.	.	.	.	.	.
Cognitive	Motivation	.	.	.	.	.	.	.
Cognitive	Behavior	.	.	.	.	.	.	.
Cognitive	AmbiguityTolerance	.	.	.	.	.	.	.
Motivation	Behavior	.	.	.	.	.	.	.
Motivation	AmbiguityTolerance	.	.	.	.	.	.	.
Behavior	AmbiguityTolerance	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
MC1	.	.	.	.	.	.
MC2	.	.	.	.	.	.
MC3	.	.	.	.	.	.
MC4	.	.	.	.	.	.
COG1	.	.	.	.	.	.
COG2	.	.	.	.	.	.
COG3	.	.	.	.	.	.
COG4	.	.	.	.	.	.
COG5	.	.	.	.	.	.
COG6	.	.	.	.	.	.
MOT1	.	.	.	.	.	.
MOT2	.	.	.	.	.	.
MOT3	.	.	.	.	.	.
MOT4	.	.	.	.	.	.
MOT5	.	.	.	.	.	.
BEH1	.	.	.	.	.	.
BEH2	.	.	.	.	.	.
BEH3	.	.	.	.	.	.
BEH4	.	.	.	.	.	.
BEH5	.	.	.	.	.	.
TA1_VDO1	.	.	.	.	.	.
TA2_VDO2	.	.	.	.	.	.
TA3_VDO3	.	.	.	.	.	.
TA4_C1	.	.	.	.	.	.
TA5_C2	.	.	.	.	.	.
TA6_C3	.	.	.	.	.	.
TA7_C4	.	.	.	.	.	.
TA8_CP1	.	.	.	.	.	.
TA9_CP2	.	.	.	.	.	.
TA10_CP3	.	.	.	.	.	.
TA11_U1	.	.	.	.	.	.
TA12_U2	.	.	.	.	.	.
ValueDiversity	.	.	.	.	.	.
Metacognitive	.	.	.	.	.	.
Cognitive	.	.	.	.	.	.
Motivation	.	.	.	.	.	.
Behavior	.	.	.	.	.	.
AmbiguityTolerance	.	.	.	.	.	.

Path Model

Path diagrams

[7]

Structural Equation Modelling

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	141
Standard errors
Scaled Test
Converged
Iterations

Model	Value_Diversity =~ Universalism + Stimulation + Achievement + Benevolence + Conformity + Hedonism + Power + Security + SelfDirection + Tradition
	Metacognitive =~ MC1 + MC2 + MC3 + MC4
	Cognitive =~ COG1 + COG2 + COG3 + COG4 + COG5 + COG6
	Motivation =~ MOT1 + MOT2 + MOT3 + MOT4 + MOT5
	Behavioral =~ BEH1 + BEH2 + BEH3 + BEH4 + BEH5
	Tolerance_Ambiguity =~ TA1_VDO1 + TA2_VDO2 + TA3_VDO3 + TA4_C1 + TA5_C2 + TA6_C3 + TA7_C4 + TA8_CP1 + TA9_CP2 + TA10_CP3 + TA11_U1 + TA12_U2
	Metacognitive ~ Value_Diversity
	Cognitive ~ Value_Diversity
	Motivation ~ Value_Diversity
	Behavioral ~ Value_Diversity
	Tolerance_Ambiguity ~ Value_Diversity
	Metacognitive ~ Tolerance_Ambiguity
	Cognitive ~ Tolerance_Ambiguity
	Motivation ~ Tolerance_Ambiguity
	Behavioral ~ Tolerance_Ambiguity


[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Parameters estimates
				95% Confidence Intervals
Dep	Pred	Estimate	SE	Lower	Upper	β	z	p
Metacognitive	Value_Diversity	.	.	.	.	.	.	.
Cognitive	Value_Diversity	.	.	.	.	.	.	.
Motivation	Value_Diversity	.	.	.	.	.	.	.
Behavioral	Value_Diversity	.	.	.	.	.	.	.
Tolerance_Ambiguity	Value_Diversity	.	.	.	.	.	.	.
Metacognitive	Tolerance_Ambiguity	.	.	.	.	.	.	.
Cognitive	Tolerance_Ambiguity	.	.	.	.	.	.	.
Motivation	Tolerance_Ambiguity	.	.	.	.	.	.	.
Behavioral	Tolerance_Ambiguity	.	.	.	.	.	.	.

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
Value_Diversity	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.
Metacognitive	MC1	.	.	.	.	.	.	.
	MC2	.	.	.	.	.	.	.
	MC3	.	.	.	.	.	.	.
	MC4	.	.	.	.	.	.	.
Cognitive	COG1	.	.	.	.	.	.	.
	COG2	.	.	.	.	.	.	.
	COG3	.	.	.	.	.	.	.
	COG4	.	.	.	.	.	.	.
	COG5	.	.	.	.	.	.	.
	COG6	.	.	.	.	.	.	.
Motivation	MOT1	.	.	.	.	.	.	.
	MOT2	.	.	.	.	.	.	.
	MOT3	.	.	.	.	.	.	.
	MOT4	.	.	.	.	.	.	.
	MOT5	.	.	.	.	.	.	.
Behavioral	BEH1	.	.	.	.	.	.	.
	BEH2	.	.	.	.	.	.	.
	BEH3	.	.	.	.	.	.	.
	BEH4	.	.	.	.	.	.	.
	BEH5	.	.	.	.	.	.	.
Tolerance_Ambiguity	TA1_VDO1	.	.	.	.	.	.	.
	TA2_VDO2	.	.	.	.	.	.	.
	TA3_VDO3	.	.	.	.	.	.	.
	TA4_C1	.	.	.	.	.	.	.
	TA5_C2	.	.	.	.	.	.	.
	TA6_C3	.	.	.	.	.	.	.
	TA7_C4	.	.	.	.	.	.	.
	TA8_CP1	.	.	.	.	.	.	.
	TA9_CP2	.	.	.	.	.	.	.
	TA10_CP3	.	.	.	.	.	.	.
	TA11_U1	.	.	.	.	.	.	.
	TA12_U2	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
MC1	MC1	.	.	.	.	.	.	.
MC2	MC2	.	.	.	.	.	.	.
MC3	MC3	.	.	.	.	.	.	.
MC4	MC4	.	.	.	.	.	.	.
COG1	COG1	.	.	.	.	.	.	.
COG2	COG2	.	.	.	.	.	.	.
COG3	COG3	.	.	.	.	.	.	.
COG4	COG4	.	.	.	.	.	.	.
COG5	COG5	.	.	.	.	.	.	.
COG6	COG6	.	.	.	.	.	.	.
MOT1	MOT1	.	.	.	.	.	.	.
MOT2	MOT2	.	.	.	.	.	.	.
MOT3	MOT3	.	.	.	.	.	.	.
MOT4	MOT4	.	.	.	.	.	.	.
MOT5	MOT5	.	.	.	.	.	.	.
BEH1	BEH1	.	.	.	.	.	.	.
BEH2	BEH2	.	.	.	.	.	.	.
BEH3	BEH3	.	.	.	.	.	.	.
BEH4	BEH4	.	.	.	.	.	.	.
BEH5	BEH5	.	.	.	.	.	.	.
TA1_VDO1	TA1_VDO1	.	.	.	.	.	.	.
TA2_VDO2	TA2_VDO2	.	.	.	.	.	.	.
TA3_VDO3	TA3_VDO3	.	.	.	.	.	.	.
TA4_C1	TA4_C1	.	.	.	.	.	.	.
TA5_C2	TA5_C2	.	.	.	.	.	.	.
TA6_C3	TA6_C3	.	.	.	.	.	.	.
TA7_C4	TA7_C4	.	.	.	.	.	.	.
TA8_CP1	TA8_CP1	.	.	.	.	.	.	.
TA9_CP2	TA9_CP2	.	.	.	.	.	.	.
TA10_CP3	TA10_CP3	.	.	.	.	.	.	.
TA11_U1	TA11_U1	.	.	.	.	.	.	.
TA12_U2	TA12_U2	.	.	.	.	.	.	.
Value_Diversity	Value_Diversity	.	.	.	.	.	.	.
Metacognitive	Metacognitive	.	.	.	.	.	.	.
Cognitive	Cognitive	.	.	.	.	.	.	.
Motivation	Motivation	.	.	.	.	.	.	.
Behavioral	Behavioral	.	.	.	.	.	.	.
Tolerance_Ambiguity	Tolerance_Ambiguity	.	.	.	.	.	.	.
Metacognitive	Cognitive	.	.	.	.	.	.	.
Metacognitive	Motivation	.	.	.	.	.	.	.
Metacognitive	Behavioral	.	.	.	.	.	.	.
Cognitive	Motivation	.	.	.	.	.	.	.
Cognitive	Behavioral	.	.	.	.	.	.	.
Motivation	Behavioral	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
MC1	.	.	.	.	.	.
MC2	.	.	.	.	.	.
MC3	.	.	.	.	.	.
MC4	.	.	.	.	.	.
COG1	.	.	.	.	.	.
COG2	.	.	.	.	.	.
COG3	.	.	.	.	.	.
COG4	.	.	.	.	.	.
COG5	.	.	.	.	.	.
COG6	.	.	.	.	.	.
MOT1	.	.	.	.	.	.
MOT2	.	.	.	.	.	.
MOT3	.	.	.	.	.	.
MOT4	.	.	.	.	.	.
MOT5	.	.	.	.	.	.
BEH1	.	.	.	.	.	.
BEH2	.	.	.	.	.	.
BEH3	.	.	.	.	.	.
BEH4	.	.	.	.	.	.
BEH5	.	.	.	.	.	.
TA1_VDO1	.	.	.	.	.	.
TA2_VDO2	.	.	.	.	.	.
TA3_VDO3	.	.	.	.	.	.
TA4_C1	.	.	.	.	.	.
TA5_C2	.	.	.	.	.	.
TA6_C3	.	.	.	.	.	.
TA7_C4	.	.	.	.	.	.
TA8_CP1	.	.	.	.	.	.
TA9_CP2	.	.	.	.	.	.
TA10_CP3	.	.	.	.	.	.
TA11_U1	.	.	.	.	.	.
TA12_U2	.	.	.	.	.	.
Value_Diversity	.	.	.	.	.	.
Metacognitive	.	.	.	.	.	.
Cognitive	.	.	.	.	.	.
Motivation	.	.	.	.	.	.
Behavioral	.	.	.	.	.	.
Tolerance_Ambiguity	.	.	.	.	.	.

Path Model

Path diagrams

[7]

Structural Equation Modelling

the condition has length > 1

Models Info

Estimation Method	default	.
Optimization Method
Number of observations
Free parameters	99
Standard errors
Scaled Test
Converged
Iterations

Model	VDD=~Universalism+Stimulation+Achievement+Benevolence+Conformity+Hedonism+Power+Security+SelfDirection+Tradition
	MCC=~MC1+MC2+MC3+MC4
	COGG=~COG1+COG2+COG3+COG4+COG5+COG6
	MOTT=~MOT1+MOT2+MOT3+MOT4+MOT5
	BEHH=~BEH1+BEH2+BEH3+BEH4+BEH5
	TAA=~TA1_VDO1+TA2_VDO2+TA3_VDO3+TA4_C1+TA5_C2+TA6_C3+TA7_C4+TA8_CP1+TA9_CP2+TA10_CP3+TA11_U1+TA12_U2



[5] [6]

Overall Tests

Model tests
Label	X²	df	p
User Model	.	.	.
Baseline Model	.	.	.

Fit indices
		95% Confidence Intervals
SRMR	RMSEA	Lower	Upper	RMSEA p
.	.	.	.	.

User model versus baseline model
		Model
Comparative Fit Index (CFI)		.
Tucker-Lewis Index (TLI)		.
Bentler-Bonett Non-normed Fit Index (NNFI)		.
Relative Noncentrality Index (RNI)		.
Bentler-Bonett Normed Fit Index (NFI)		.
Bollen's Relative Fit Index (RFI)		.
Bollen's Incremental Fit Index (IFI)		.
Parsimony Normed Fit Index (PNFI)		.

Estimates

Measurement model
				95% Confidence Intervals
Latent	Observed	Estimate	SE	Lower	Upper	β	z	p
VDD	Universalism	.	.	.	.	.	.	.
	Stimulation	.	.	.	.	.	.	.
	Achievement	.	.	.	.	.	.	.
	Benevolence	.	.	.	.	.	.	.
	Conformity	.	.	.	.	.	.	.
	Hedonism	.	.	.	.	.	.	.
	Power	.	.	.	.	.	.	.
	Security	.	.	.	.	.	.	.
	SelfDirection	.	.	.	.	.	.	.
	Tradition	.	.	.	.	.	.	.
MCC	MC1	.	.	.	.	.	.	.
	MC2	.	.	.	.	.	.	.
	MC3	.	.	.	.	.	.	.
	MC4	.	.	.	.	.	.	.
COGG	COG1	.	.	.	.	.	.	.
	COG2	.	.	.	.	.	.	.
	COG3	.	.	.	.	.	.	.
	COG4	.	.	.	.	.	.	.
	COG5	.	.	.	.	.	.	.
	COG6	.	.	.	.	.	.	.
MOTT	MOT1	.	.	.	.	.	.	.
	MOT2	.	.	.	.	.	.	.
	MOT3	.	.	.	.	.	.	.
	MOT4	.	.	.	.	.	.	.
	MOT5	.	.	.	.	.	.	.
BEHH	BEH1	.	.	.	.	.	.	.
	BEH2	.	.	.	.	.	.	.
	BEH3	.	.	.	.	.	.	.
	BEH4	.	.	.	.	.	.	.
	BEH5	.	.	.	.	.	.	.
TAA	TA1_VDO1	.	.	.	.	.	.	.
	TA2_VDO2	.	.	.	.	.	.	.
	TA3_VDO3	.	.	.	.	.	.	.
	TA4_C1	.	.	.	.	.	.	.
	TA5_C2	.	.	.	.	.	.	.
	TA6_C3	.	.	.	.	.	.	.
	TA7_C4	.	.	.	.	.	.	.
	TA8_CP1	.	.	.	.	.	.	.
	TA9_CP2	.	.	.	.	.	.	.
	TA10_CP3	.	.	.	.	.	.	.
	TA11_U1	.	.	.	.	.	.	.
	TA12_U2	.	.	.	.	.	.	.

Variances and Covariances
				95% Confidence Intervals
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p
Universalism	Universalism	.	.	.	.	.	.	.
Stimulation	Stimulation	.	.	.	.	.	.	.
Achievement	Achievement	.	.	.	.	.	.	.
Benevolence	Benevolence	.	.	.	.	.	.	.
Conformity	Conformity	.	.	.	.	.	.	.
Hedonism	Hedonism	.	.	.	.	.	.	.
Power	Power	.	.	.	.	.	.	.
Security	Security	.	.	.	.	.	.	.
SelfDirection	SelfDirection	.	.	.	.	.	.	.
Tradition	Tradition	.	.	.	.	.	.	.
MC1	MC1	.	.	.	.	.	.	.
MC2	MC2	.	.	.	.	.	.	.
MC3	MC3	.	.	.	.	.	.	.
MC4	MC4	.	.	.	.	.	.	.
COG1	COG1	.	.	.	.	.	.	.
COG2	COG2	.	.	.	.	.	.	.
COG3	COG3	.	.	.	.	.	.	.
COG4	COG4	.	.	.	.	.	.	.
COG5	COG5	.	.	.	.	.	.	.
COG6	COG6	.	.	.	.	.	.	.
MOT1	MOT1	.	.	.	.	.	.	.
MOT2	MOT2	.	.	.	.	.	.	.
MOT3	MOT3	.	.	.	.	.	.	.
MOT4	MOT4	.	.	.	.	.	.	.
MOT5	MOT5	.	.	.	.	.	.	.
BEH1	BEH1	.	.	.	.	.	.	.
BEH2	BEH2	.	.	.	.	.	.	.
BEH3	BEH3	.	.	.	.	.	.	.
BEH4	BEH4	.	.	.	.	.	.	.
BEH5	BEH5	.	.	.	.	.	.	.
TA1_VDO1	TA1_VDO1	.	.	.	.	.	.	.
TA2_VDO2	TA2_VDO2	.	.	.	.	.	.	.
TA3_VDO3	TA3_VDO3	.	.	.	.	.	.	.
TA4_C1	TA4_C1	.	.	.	.	.	.	.
TA5_C2	TA5_C2	.	.	.	.	.	.	.
TA6_C3	TA6_C3	.	.	.	.	.	.	.
TA7_C4	TA7_C4	.	.	.	.	.	.	.
TA8_CP1	TA8_CP1	.	.	.	.	.	.	.
TA9_CP2	TA9_CP2	.	.	.	.	.	.	.
TA10_CP3	TA10_CP3	.	.	.	.	.	.	.
TA11_U1	TA11_U1	.	.	.	.	.	.	.
TA12_U2	TA12_U2	.	.	.	.	.	.	.
VDD	VDD	.	.	.	.	.	.	.
MCC	MCC	.	.	.	.	.	.	.
COGG	COGG	.	.	.	.	.	.	.
MOTT	MOTT	.	.	.	.	.	.	.
BEHH	BEHH	.	.	.	.	.	.	.
TAA	TAA	.	.	.	.	.	.	.
VDD	MCC	.	.	.	.	.	.	.
VDD	COGG	.	.	.	.	.	.	.
VDD	MOTT	.	.	.	.	.	.	.
VDD	BEHH	.	.	.	.	.	.	.
VDD	TAA	.	.	.	.	.	.	.
MCC	COGG	.	.	.	.	.	.	.
MCC	MOTT	.	.	.	.	.	.	.
MCC	BEHH	.	.	.	.	.	.	.
MCC	TAA	.	.	.	.	.	.	.
COGG	MOTT	.	.	.	.	.	.	.
COGG	BEHH	.	.	.	.	.	.	.
COGG	TAA	.	.	.	.	.	.	.
MOTT	BEHH	.	.	.	.	.	.	.
MOTT	TAA	.	.	.	.	.	.	.
BEHH	TAA	.	.	.	.	.	.	.

Intercepts
			95% Confidence Intervals
Variable	Intercept	SE	Lower	Upper	z	p
Universalism	.	.	.	.	.	.
Stimulation	.	.	.	.	.	.
Achievement	.	.	.	.	.	.
Benevolence	.	.	.	.	.	.
Conformity	.	.	.	.	.	.
Hedonism	.	.	.	.	.	.
Power	.	.	.	.	.	.
Security	.	.	.	.	.	.
SelfDirection	.	.	.	.	.	.
Tradition	.	.	.	.	.	.
MC1	.	.	.	.	.	.
MC2	.	.	.	.	.	.
MC3	.	.	.	.	.	.
MC4	.	.	.	.	.	.
COG1	.	.	.	.	.	.
COG2	.	.	.	.	.	.
COG3	.	.	.	.	.	.
COG4	.	.	.	.	.	.
COG5	.	.	.	.	.	.
COG6	.	.	.	.	.	.
MOT1	.	.	.	.	.	.
MOT2	.	.	.	.	.	.
MOT3	.	.	.	.	.	.
MOT4	.	.	.	.	.	.
MOT5	.	.	.	.	.	.
BEH1	.	.	.	.	.	.
BEH2	.	.	.	.	.	.
BEH3	.	.	.	.	.	.
BEH4	.	.	.	.	.	.
BEH5	.	.	.	.	.	.
TA1_VDO1	.	.	.	.	.	.
TA2_VDO2	.	.	.	.	.	.
TA3_VDO3	.	.	.	.	.	.
TA4_C1	.	.	.	.	.	.
TA5_C2	.	.	.	.	.	.
TA6_C3	.	.	.	.	.	.
TA7_C4	.	.	.	.	.	.
TA8_CP1	.	.	.	.	.	.
TA9_CP2	.	.	.	.	.	.
TA10_CP3	.	.	.	.	.	.
TA11_U1	.	.	.	.	.	.
TA12_U2	.	.	.	.	.	.
VDD	.	.	.	.	.	.
MCC	.	.	.	.	.	.
COGG	.	.	.	.	.	.
MOTT	.	.	.	.	.	.
BEHH	.	.	.	.	.	.
TAA	.	.	.	.	.	.

Structural Equation Modelling

Models Info

Setup	.	Please define a model to begin

[5] [6]

Overall Tests

Model tests
Label	X²	df	p

Fit indices
SRMR	RMSEA	Lower	Upper	RMSEA p

User model versus baseline model
		Model
.		.
.		.
.		.
.		.
.		.
.		.
.		.
.		.

Estimates

Variances and Covariances
Variable 1	Variable 2	Estimate	SE	Lower	Upper	β	z	p

References

[1] The jamovi project (2024). jamovi. (Version 2.5) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2023). R: A Language and environment for statistical computing. (Version 4.3) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2024-01-09).

[3] Revelle, W. (2023). psych: Procedures for Psychological, Psychometric, and Personality Research. [R package]. Retrieved from https://cran.r-project.org/package=psych.

[4] Rosseel, Y., et al. (2023). lavaan: Latent Variable Analysis. [R package]. Retrieved from https://cran.r-project.org/package=lavaan.

[5] Gallucci, M., Jentschke, S. (2021). SEMLj: jamovi SEM Analysis. [jamovi module]. For help please visit https://semlj.github.io/.

[6] Rosseel, Y. (2019). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. link.

[7] Epskamp S. , Stuber S., Nak J., Veenman M,, Jorgensen T.D. (2019). semPlot: Path Diagrams and Visual Analysis of Various SEM Packages' Output. [R Package]. Retrieved from https://CRAN.R-project.org/package=semPlot.