Attitudes toward equality - part 3

Latent Class Analysis (poLCA)

This report gives an insight of findings using Latent Class Analysis in R. This analysis was implemented using poLCA package, this package sadly doesn’t allow to include weights and complex sample parameters, it will be used to get an estimation of the analysis that will be implemented in Mplus for the final results. This final procedure will be performed running and extracting results with MplusAutomation package from R and retrieving same results as in this first part. Additional analysis should be performed to the final model, such as complete homogeneity and partial homogeneity.

Countries analyzed

It is important to mention that the countries were separated into European and Non-European countries, due to that only European countries have the immigration scale incorporated in the study in year 2016. For this reason, is not possible to combine them with European countries if we want to provide profiles using all scales in all years, for this countries only scales for ethnics-race and gender equality will be analyzed when merging all cycles.

The countries and their respective sample sizes included in the following analysis are shown in the following table .

European countries sample sizes included in the analysis

	BFL	BGR	DNK	EST	FIN	ITA	LTU	LVA	MLT	NLD	NOR	SVN	SWE
C1	0	2884	3208	3434	2782	3808	3494	2572	0	0	3321	3068	3073
C2	2968	3257	4508	2743	3307	3366	3902	2761	2143	1964	3013	3070	3464
C3	2931	2966	6254	2857	3173	3450	3631	3224	3764	2812	6271	2844	3264

Non-European countries sample sizes included in the analysis

	CHL	COL	DOM	HKG	KOR	MEX	RUS	TWN
C1	5688	4926	0	4997	0	0	2129	0
C2	5192	6204	4589	2902	5254	6576	4295	5167
C3	5081	5609	3937	2653	2601	5526	7289	3953

Variables used

Variables used in LCA

Items
T_ETHNEQ1 - All ethnic/racial groups should have equal chance to get good education
T_ETHNEQ2 - All ethnic/racial groups should have an equal chance to get good jobs
T_ETHNEQ3 - All ethnic/racial groups schools should teach students to respect
T_ETHNEQ4 - All ethnic/racial groups should be encouraged to run in elections
T_ETHNEQ5 - All ethnic/racial groups should have same rights and responsibilities
T_GNDREQ1 - Men and women should have equal opportunities to take part in government
T_GNDREQ2 - Men and women should have the same rights in every way
T_GNDREQ3 - Women should stay out of politics(r)
T_GNDREQ4 - Not many jobs available, men should have more right to a job than women(r)
T_GNDREQ5 - Men and women should get equal pay when they are doing the same jobs
T_GNDREQ6 - Men are better qualified to be political leaders than women(r)
T_GNDREQ7 - Women’s first priority should be raising children
T_IMMIEQ1 - Immigrants should have the opportunity to continue speaking their own language
T_IMMIEQ2 - Immigrant children should have the same opportunities for education
T_IMMIEQ3 - Immigrants who live in a country for several years should have the opportunity to vote
T_IMMIEQ4 - Immigrants should have the opportunity to continue their own customs and lifestyle
T_IMMIEQ5 - Immigrants should have the same rights that everyone else in the country has

Response variables used in LCA

Strongly disagree
Disagree
Agree
Strongly agree

Models performed

Several analysis were done using this methodology. All of them were performed dividing the data into European and Non-European countries. Analysis were implemented using original response categories, otherwise indicated.

Summary of models performed

Name	NClasses	Responses	Nitems	Covariates	Description
By construct and cycle	1-3	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	Ethnic:5 Gender:6 Immigrant:5		Multiple classes are obtained separately for each scale using all the response categories by cycle and scale. 9 classifications are obtained 3 by each scale.
By cycle, all items, polytomous response	2-7	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	15		Multiple classes are estimated using all scales by cycle, 3 classifications are obtained. One by year.
By cycle, all items, binomial response	2-7	1.Disagree 2.Agree	15		Multiple classes are estimated using all scales dichotomized into Agree and Not Agree responses by cycle, with this 3 classifications are obtained.
By cycle, all items, polytomous response, covariate Country	2-7	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	15	Country	Multiple classes are estimated using all scales by cycle, including country as covariate.
All items, polytomous response, covariate Cycle	2-7	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	15	Cycle	Multiple classes are estimated using all scales, including cycle as covariate.
All items, polytomous response, covariates Cycle and Country	2-7	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	15	Cycle Country	Multiple classes are estimated using all scales, including cycle and country as covariates.
By Country and By Cycle, all items, polytomous response	2-7	1.Strongly disagree 2.Disagree 3.Agree 4.Strongly Agree	15		Multiple classes are estimated using all scales by cycle and country.

Classes identified

As a general result, profiles identified can be described as

Two(2) classes description

Class	Description
Engaged	Students that strongly agree with mostly all items
Conventional	Students that mostly Agree with all items

Three(3) classes description

Class	Description
Engaged	Students that strongly agree with mostly all items
Engaged but not with political or customs equality	Students that mostly agree or strongly agree with most items but the ones referring to political participation for minorities, such as running in elections, opportunity to vote, or maintenance of customs, such as continue lifestyles and speak their own language
Engaged but not with gender political equality	Students are strongly engaged with equality through all items but no with woman having more rights to jobs than man, and that woman are more qualified than men as political leaders

Four(4) classes description

	Description
Engaged	Students that Strongly agree with mostly all items
Conventional	Students that Agree with mostly all items
Engaged with Gender equality	Students that Agree to most of items, but Strongly agree to gender equality items
Against immigrant and ethnics political equality	Disagreement with items regarding political participation

Five(5) classes description

	Description
Engaged	Students that strongly agree with mostly all items
Conventional	Students that Agree with mostly all items
Engaged with Gender equality mainly	Students that Agree to most of items, but Strongly agree to gender equality items
Engaged but not with political equality	Student that agree with most of items but disagree mainly to items related to groups’ political participation
Against immigrant and ethnics political equality	Disagreement with items regarding political participation

1. By construct and cycle

1.1 European countries

1.1.1 EU Attitudes towards ethnics/racial equality items, 2 latent classes

Model fit EU 1999 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	ETHN	1	-118752.4	23101.685	0.000	237629.1	237528.8
C1	ETHN	2	-110283.1	8311.202	-0.640	220825.3	220616.3	0.673	0.087
C1	ETHN	3	-106755.5	2257.366	-0.902	213904.7	213586.9	0.663	0.128

Model fit EU 2009 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	ETHN	1	-164441.0	66751.533	0.000	329009.2	328905.9
C2	ETHN	2	-140801.8	19668.137	-0.705	281868.8	281653.6	0.861	0.038
C2	ETHN	3	-134912.6	7977.817	-0.880	270228.3	269901.2	0.836	0.057

Model fit EU 2016 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C3	ETHN	1	-180599.4	75149.007	0.000	361328.1	361222.9
C3	ETHN	2	-151164.5	16685.043	-0.778	302598.3	302379.1	0.867	0.041
C3	ETHN	3	-146486.5	7465.086	-0.901	293382.2	293049.0	0.837	0.059

Size of each latent class EU with ETHNIC scales

Year	Engaged	Conventional
1999	0.359	0.641
2009	0.421	0.579
2016	0.532	0.468

1.1.2 EU Attitudes towards gender equality items, 2 latent classes

Model fit EU 1999 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	GNDR	1	-188758.9	56469.71	0.000	377704.4	377553.8
C1	GNDR	2	-166796.7	18947.06	-0.664	333976.9	333667.5	0.796	0.062
C1	GNDR	3	-162360.5	11828.25	-0.791	325301.3	324833.0	0.747	0.109

Model fit EU 2009 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	GNDR	1	-234306.7	106604.38	0.000	468804.3	468649.4
C2	GNDR	2	-198829.8	36359.40	-0.659	398052.2	397733.7	0.834	0.047
C2	GNDR	3	-193022.7	24778.19	-0.768	386639.5	386157.4	0.785	0.093

Model fit EU 2016 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C3	GNDR	1	-245392.4	116548.02	0.000	490978.7	490820.9
C3	GNDR	2	-203746.6	35016.39	-0.700	407891.5	407567.2	0.851	0.041
C3	GNDR	3	-197909.4	23618.79	-0.797	396421.9	395930.9	0.802	0.078

Size of each latent class EU with GENDER scales

Year	Engaged	Conventional
1999	0.641	0.359
2009	0.421	0.579
2016	0.532	0.468

1.1.3 EU Attitudes towards immigrants equality items - 2 latent classes

Model fit EU 1999 with IMMIGRATION scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	IMMI	1	-161766.3	54598.43	0.000	323688.0	323562.5
C1	IMMI	2	-144849.4	23839.48	-0.563	290020.0	289760.7	0.789	0.053
C1	IMMI	3	-137295.2	10357.67	-0.810	275077.4	274684.4	0.769	0.090

Model fit EU 2009 with IMMIGRATION scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	IMMI	1	-222132.9	72911.28	0.000	444424.9	444295.8
C2	IMMI	2	-199774.1	28599.92	-0.608	399877.1	399610.3	0.788	0.060
C2	IMMI	3	-191950.3	13095.52	-0.820	384399.1	383994.6	0.786	0.079

Model fit EU 2016 with IMMIGRATION scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C3	IMMI	1	-256403.6	89701.33	0.000	512968.6	512837.1
C3	IMMI	2	-227586.5	32755.30	-0.635	455506.8	455235.1	0.811	0.052
C3	IMMI	3	-218437.8	14677.07	-0.836	437381.7	436969.6	0.793	0.076

Size of each latent class EU with IMMIGRANT scales

Year	Engaged	Conventional
1999	0.359	0.641
2009	0.421	0.579
2016	0.468	0.532

1.2 Non-European countries

1.2.1 NEU Attitudes towards ethnics/racial equality items, 2 latent classes

Model fit NEU 1999 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	ETHN	1	-63499.74	13420.900	0.000	127116.9	127023.5
C1	ETHN	2	-57986.39	3713.604	-0.723	116217.4	116022.8	0.694	0.088
C1	ETHN	3	-56530.97	1218.440	-0.909	113433.7	113137.9	0.673	0.123

Model fit NEU 2009 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	ETHN	1	-146167.4	55368.00	0.000	292462.0	292358.7
C2	ETHN	2	-124181.6	11226.94	-0.797	248628.2	248413.2	0.816	0.058
C2	ETHN	3	-121059.7	4986.86	-0.910	242522.3	242195.5	0.780	0.076

Model fit NEU 2016 with ETHNIC scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C3	ETHN	1	-122532.29	52611.821	0.000	245190.7	245088.6
C3	ETHN	2	-101226.92	9950.271	-0.811	202716.6	202503.8	0.840	0.046
C3	ETHN	3	-98756.92	5023.739	-0.905	197913.2	197589.8	0.813	0.058

Size of each latent class NEU with ETHNIC scales

Year	Engaged	Conventional
1999	0.419	0.581
2009	0.553	0.447
2016	0.644	0.356

1.2.2 NEU Attitudes towards gender equality items, 2 latent classes

Model fit NEU 1999 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	GNDR	1	-107746.64	26931.870	0.00	215669.4	215529.3
C1	GNDR	2	-98819.58	11298.475	-0.58	198001.2	197713.2	0.725	0.083
C1	GNDR	3	-96847.80	8071.234	-0.70	194243.5	193807.6	0.683	0.134

Model fit NEU 2009 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	GNDR	1	-241601.1	87015.89	0.000	483393.1	483238.3
C2	GNDR	2	-215859.1	35711.64	-0.590	432110.5	431792.3	0.770	0.068
C2	GNDR	3	-208793.0	21434.81	-0.754	418179.7	417698.1	0.768	0.104

Model fit NEU 2016 with GENDER scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C3	GNDR	1	-220479.1	90015.90	0.000	441147.4	440994.3
C3	GNDR	2	-194931.6	39349.72	-0.563	390252.0	389937.2	0.826	0.049
C3	GNDR	3	-187288.7	24110.58	-0.732	375165.9	374689.4	0.800	0.089

Size of each latent class NEU with GENDER scales

Year	Engaged	Conventional
1999	0.581	0.419
2009	0.447	0.553
2016	0.644	0.356

1.2.3 NEU Attitudes towards immigrants equality items - 2 latent classes

Model fit NEU 1999 with IMMIGRATION scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C1	IMMI	1	-80989.94	24035.957	0.000	162126.6	162009.9
C1	IMMI	2	-72129.35	7578.131	-0.685	144562.0	144320.7	0.749	0.070
C1	IMMI	3	-70140.45	4178.291	-0.826	140740.7	140374.9	0.696	0.122

Model fit NEU 2009 with IMMIGRATION scales

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
C2	IMMI	1	-194111.7	64900.647	0.000	388382.4	388253.4
C2	IMMI	2	-171063.6	18615.173	-0.713	342455.8	342189.2	0.770	0.076
C2	IMMI	3	-166641.0	9927.958	-0.847	333780.3	333376.0	0.741	0.105

Size of each latent class NEU with IMMIGRANT scales

Year	Engaged	Conventional
1999	0.419	0.581
2009	0.447	0.553

2. All items with 4 response categories by cycle

2.1 European countries

Model fit EU 1999 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-469277.6	247999.0	0.000	939021.5	938645.2
c1	2	-426787.6	192481.3	-0.224	854518.2	853757.2	0.837	0.049
c1	3	-409642.5	172994.8	-0.302	820704.7	819559.0	0.837	0.072
c1	4	-400061.6	160884.2	-0.351	802019.6	800489.3	0.829	0.097
c1	5	-395660.2	155135.9	-0.374	793693.3	791778.3	0.822	0.111
c1	6	-392342.7	150749.7	-0.392	787534.9	785235.3	0.807	0.131
c1	7	-390731.8	148891.4	-0.400	784790.0	782105.7	0.793	0.151

Model fit EU 2009 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-620880.5	487591.4	0.000	1242238	1241851
c2	2	-558565.1	366932.3	-0.247	1118095	1117312	0.860	0.043
c2	3	-540229.5	332346.6	-0.318	1081912	1080733	0.849	0.063
c2	4	-524582.5	302273.5	-0.380	1051106	1049531	0.842	0.086
c2	5	-514721.4	283263.3	-0.419	1031872	1029901	0.850	0.094
c2	6	-511054.3	276151.8	-0.434	1025026	1022659	0.836	0.116
c2	7	-507627.0	269622.3	-0.447	1018659	1015896	0.829	0.128

Model fit EU 2016 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-682395.4	495882.7	0.000	1365275	1364881
c3	2	-610471.9	361512.9	-0.271	1221924	1221126	0.864	0.041
c3	3	-590907.9	325327.9	-0.344	1183291	1182090	0.840	0.074
c3	4	-576977.4	299648.0	-0.396	1155925	1154321	0.839	0.086
c3	5	-566920.4	280882.4	-0.434	1136306	1134299	0.845	0.094
c3	6	-559114.8	266228.8	-0.463	1121191	1118780	0.848	0.107
c3	7	-555756.0	259983.3	-0.476	1114968	1112154	0.840	0.120

2.1.1 EU - All scales - 4 latent classes

Size of each 4 latent class with all scales EU

Year	Engaged	Conventional	Engaged with Gender equality	Against immigrant and ethnics political equality
1999	0.241	0.297	0.294	0.168
2009	0.360	0.247	0.266	0.126
2016	0.339	0.234	0.317	0.111

2.1.2 EU - All scales - 5 latent classes

Size of each 5 latent class with all scales EU

Year	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
1999	0.192	0.271	0.258	0.126	0.153
2009	0.288	0.213	0.240	0.179	0.080
2016	0.290	0.187	0.286	0.159	0.078

2.2 Non-European countries

Model fit NEU 1999 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-252236.3	147995.55	0.000	504912.9	504562.7
c1	2	-227667.0	112323.67	-0.241	456224.3	455516.0	0.838	0.050
c1	3	-220722.1	104060.42	-0.297	442784.6	441718.3	0.817	0.080
c1	4	-216142.4	97301.41	-0.343	434075.2	432650.8	0.804	0.108
c1	5	-214558.3	95052.48	-0.358	431357.0	429574.6	0.774	0.144
c1	6	-213260.8	93069.94	-0.371	429212.0	427071.5	0.761	0.166
c1	7	-212459.3	91976.98	-0.379	428059.1	425560.6	0.744	0.192

Model fit NEU 2009 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-581880.2	441507.4	0.000	1164237.5	1163850.4
c2	2	-516647.0	314128.8	-0.289	1034258.8	1033476.1	0.865	0.042
c2	3	-503219.7	288558.7	-0.346	1007891.8	1006713.4	0.819	0.082
c2	4	-493746.6	270601.3	-0.387	989433.2	987859.2	0.806	0.107
c2	5	-485711.6	255204.7	-0.422	973850.9	971881.3	0.815	0.114
c2	6	-481419.2	246686.2	-0.441	965753.7	963388.4	0.809	0.131
c2	7	-477411.8	238908.4	-0.459	958226.6	955465.7	0.810	0.140

Model fit NEU 2016 with all scales

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-343011.4	192029.08	0.000	686338.1	686082.8
c3	2	-302246.2	112026.76	-0.417	605133.5	604614.4	0.841	0.047
c3	3	-290536.4	88957.27	-0.537	582039.6	581256.8	0.841	0.076
c3	4	-284037.5	76176.92	-0.603	569367.7	568321.1	0.830	0.093
c3	5	-280346.7	68982.64	-0.641	562311.8	561001.4	0.820	0.108
c3	6	-277021.3	62703.80	-0.673	555986.7	554412.5	0.822	0.112
c3	7	-274916.6	58571.78	-0.695	552103.2	550265.2	0.813	0.124

2.2.1 NEU - All scales - 4 latent classes

Size of each 4 latent class with all scales NEU

Year	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality
1999	0.227	0.249	0.374	0.151
2009	0.353	0.187	0.247	0.212
2016	0.336	0.180	0.160	0.324

2.2.2 NEU - All scales - 5 latent classes

Size of each 5 latent class with all scales NEU

Year	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged but not with gender political difference
1999	0.271	0.126	0.258	0.153	0.192
2009	0.288	0.213	0.240	0.179	0.080
2016	0.290	0.159	0.078	0.187		0.286

3. All items with 2 response categories by cycle

3.1 European countries

3.1.1 EU - Binomial response with 3 latent classes

1999

Model fit NEU 1999 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-191866.0	48235.67	0.000	383887.5	383762.1
c1	2	-170660.8	22948.82	-0.524	341642.8	341383.5	0.774	0.057
c1	3	-167988.8	19577.25	-0.594	336464.6	336071.6	0.717	0.099
c1	4	-165897.8	16862.25	-0.650	332448.5	331921.7	0.663	0.157
c1	5	-165205.2	15920.82	-0.670	331229.0	330568.4	0.644	0.183
c1	6	-164575.5	15141.91	-0.686	330135.4	329341.0	0.648	0.188
c1	7	-164181.7	14519.48	-0.699	329513.6	328585.4	0.636	0.205

2009

Model fit NEU 2009 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-242909.7	79744.23	0.000	485978.5	485849.4
c2	2	-222380.2	40792.15	-0.488	445089.3	444822.5	0.732	0.060
c2	3	-217419.9	31360.03	-0.607	435338.5	434933.9	0.730	0.083
c2	4	-214628.4	25897.40	-0.675	429925.1	429382.7	0.648	0.163
c2	5	-213395.7	23568.59	-0.704	427629.5	426949.4	0.650	0.171
c2	6	-212318.5	21465.51	-0.731	425644.8	424827.0	0.651	0.179
c2	7	-211623.3	20083.37	-0.748	424424.1	423468.6	0.626	0.216

2016

Model fit NEU 2016 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-257526.5	84903.88	0.000	515214.5	515082.9
c3	2	-233872.4	41360.84	-0.513	468078.5	467806.7	0.734	0.062
c3	3	-227911.2	30300.60	-0.643	456328.4	455916.4	0.761	0.070
c3	4	-224578.5	23979.09	-0.718	449835.3	449283.0	0.677	0.139
c3	5	-223100.8	21245.30	-0.750	447052.1	446359.5	0.669	0.155
c3	6	-222177.2	19601.25	-0.769	445377.3	444544.4	0.668	0.161
c3	7	-221417.0	18170.43	-0.786	444029.1	443055.9	0.657	0.178

Size of each 3 latent class with all dicotomic scales EU

Year	Engaged	Engaged but not with political or customs equality	Engaged but not with gender political difference
1999	0.644	0.205	0.151
2009	0.688	0.168	0.145
2016	0.719	0.170	0.111

3.2 Non-European countries

3.2.1 NEU - Binomial response with 3 latent classes

1999

Model fit NEU 1999 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-91328.45	21647.821	0.000	182803.6	182686.9
c1	2	-83455.63	11834.834	-0.453	167214.6	166973.3	0.717	0.060
c1	3	-82250.68	10085.733	-0.534	164961.2	164595.4	0.631	0.133
c1	4	-81663.53	9243.942	-0.573	163943.4	163453.1	0.582	0.189
c1	5	-81462.72	8966.660	-0.586	163698.4	163083.4	0.573	0.199
c1	6	-81299.22	8684.150	-0.599	163527.9	162788.4	0.569	0.210
c1	7	-81158.34	8458.316	-0.609	163402.6	162538.7	0.590	0.214

2009

Model fit NEU 2009 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-207281.1	58080.26	0.000	414721.2	414592.2
c2	2	-192691.2	30791.95	-0.470	385711.1	385444.4	0.691	0.062
c2	3	-187543.3	21079.87	-0.637	375584.9	375180.7	0.714	0.092
c2	4	-186405.6	18773.28	-0.677	373479.0	372937.2	0.701	0.104
c2	5	-185578.2	17195.64	-0.704	371993.9	371314.4	0.627	0.164
c2	6	-184927.1	15819.79	-0.728	370861.2	370044.1	0.627	0.171
c2	7	-184581.5	15126.46	-0.740	370339.8	369385.1	0.578	0.234

2016

Model fit NEU 2016 with binomial response

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-120012.0	31989.035	0.000	240129.0	240043.9
c3	2	-109970.6	12523.242	-0.609	220161.8	219983.1	0.691	0.074
c3	3	-105874.6	4672.647	-0.854	212085.5	211813.2	0.736	0.074
c3	4	-105308.0	3535.403	-0.889	211067.9	210702.0	0.702	0.094
c3	5	-104930.9	2792.248	-0.913	210429.2	209969.7	0.701	0.094
c3	6	-104720.2	2379.262	-0.926	210123.5	209570.4	0.674	0.108
c3	7	-104561.9	2065.798	-0.935	209922.5	209275.9	0.678	0.109

Size of each 3 latent class with all dicotomic scales NEU

Year	Engaged	Engaged but not with political or customs equality	Engaged but not with gender political difference
1999	0.620	0.167	0.214
2009	0.666	0.163	0.170
2016	0.698	0.085	0.217

4. All items with Covariate COUNTRY by Cycle

4.1 European countries

4.1.1 EU - Controlling by Country with 5 latent classes

1999

Model fit EU 1999 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-469277.6	247999.0	0.000	939021.5	938645.2
c1	2	-425846.4	192545.8	-0.224	852729.1	851892.8	0.841	0.047
c1	3	-408284.7	173084.3	-0.302	818175.6	816879.4	0.840	0.069
c1	4	-398356.9	160923.3	-0.351	798889.9	797133.8	0.833	0.093
c1	5	-394458.8	156256.9	-0.370	791663.6	789447.6	0.814	0.115
c1	6	-451189.6	184724.9	-0.255	905695.2	903019.3	0.966	0.017
c1	7	-437601.3	173592.3	-0.300	879088.5	875952.6	0.898	0.071

Predicted classification (%) by country EU - 1999

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
BGR	15.4	19.4	14.1	40.5	10.7
DNK	24.8	11.8	39.7	8.5	15.2
EST	14.2	36.0	30.7	16.7	2.4
FIN	25.9	25.1	35.3	7.5	6.3
ITA	18.9	20.6	37.0	17.4	6.0
LTU	14.5	31.3	28.5	21.8	3.9
LVA	11.3	36.3	18.3	31.3	2.9
NOR	37.7	13.1	32.7	8.2	8.3
SVN	15.1	23.2	35.1	19.0	7.7
SWE	46.6	14.3	23.0	10.0	6.1

2009

Model fit EU 2009 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-620880.5	487591.4	0.000	1242238	1241851
c2	2	-557950.2	366944.5	-0.247	1116993	1116106	0.860	0.042
c2	3	-539080.0	332550.2	-0.318	1079868	1078482	0.849	0.064
c2	4	-522754.2	302528.6	-0.380	1047832	1045946	0.844	0.086
c2	5	-513531.4	283742.9	-0.418	1030001	1027617	0.856	0.089
c2	6	-507518.0	276302.4	-0.433	1018590	1015706	0.843	0.111
c2	7	-605484.6	403671.6	-0.172	1215138	1211755	0.989	0.014

Predicted classification (%) by country EU - 2009

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
BFL	26.4	19.5	37.3	8.0	8.8
BGR	18.8	17.7	4.9	46.0	12.6
DNK	38.8	17.4	32.5	5.9	5.5
EST	24.4	21.0	17.6	31.8	5.2
FIN	31.1	22.5	34.4	5.7	6.3
ITA	31.0	15.1	28.2	18.1	7.6
LTU	23.5	26.5	8.0	39.0	3.0
LVA	8.0	35.6	20.0	28.9	7.4
MLT	25.1	14.0	29.2	15.9	16.0
NLD	25.1	24.9	32.2	6.6	11.2
NOR	44.8	15.0	21.0	12.0	7.2
SVN	38.3	16.3	20.9	15.3	9.3
SWE	47.9	0.0	32.1	10.7	9.3

2016

Model fit EU 2016 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-682395.4	495882.7	0.000	1365275	1364881
c3	2	-608786.9	361559.6	-0.271	1218683	1217780	0.864	0.040
c3	3	-588180.3	325405.3	-0.344	1178094	1176683	0.844	0.072
c3	4	-573910.6	299827.2	-0.395	1150179	1148259	0.839	0.086
c3	5	-564821.4	283363.9	-0.429	1132625	1130197	0.845	0.100
c3	6	-586724.3	285379.5	-0.425	1177056	1174119	0.850	0.095
c3	7	-662342.5	406462.8	-0.180	1328917	1325471	0.953	0.009

Predicted classification (%) by country EU - 2016

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
BFL	21.7	16.9	29.8	24.6	7.1
BGR	13.0	26.2	7.7	18.0	35.2
DNK	32.8	13.5	28.2	21.1	4.4
EST	14.0	29.9	10.8	35.1	10.2
FIN	30.9	18.4	21.0	22.8	6.9
ITA	31.8	15.4	25.0	16.8	11.0
LTU	24.3	33.0	6.3	20.7	15.6
LVA	5.8	46.0	11.9	19.8	16.6
MLT	24.0	14.4	25.5	17.4	18.7
NLD	19.2	23.0	25.2	22.0	10.5
NOR	45.8	10.8	20.1	17.4	5.9
SVN	31.7	20.3	19.2	18.1	10.6
SWE	57.4	9.0	14.7	12.4	6.6

Size of each 5 latent class with all scales controlling by EU countries

Year	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
1999	0.225	0.226	0.296	0.180	0.073
2009	0.298	0.186	0.243	0.191	0.082
2016	0.281	0.201	0.194	0.206	0.118

4.2 Non-European countries

4.2.1 NEU - Controlling by Country with 5 latent classes

1999

Model fit NEU 1999 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c1	1	-252236.3	147995.55	0.000	504912.9	504562.7
c1	2	-227265.9	112325.26	-0.241	455451.5	454719.8	0.840	0.048
c1	3	-220235.2	104048.38	-0.297	441869.4	440756.3	0.815	0.080
c1	4	-215523.1	97311.20	-0.342	432924.6	431430.1	0.806	0.107
c1	5	-213938.9	95058.49	-0.358	430235.7	428359.8	0.777	0.141
c1	6	-212448.5	93124.49	-0.371	427734.3	425477.0	0.764	0.164

Predicted classification (%) by country NEU - 1999

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
CHL	23.2	17.6	27.4	17.2	14.6
COL	30.9	19.5	24.4	18.4	6.8
HKG	17.8	40.0	12.2	14.3	15.7
RUS	7.5	38.8	18.0	17.3	18.4

2009

Model fit NEU 2009 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c2	1	-581880.2	441507.4	0.000	1164237.5	1163850.4
c2	2	-515080.2	314153.1	-0.288	1031199.3	1030356.4	0.866	0.041
c2	3	-500197.7	289868.5	-0.343	1001996.2	1000697.4	0.822	0.081
c2	4	-490226.8	273062.0	-0.382	982616.3	980861.7	0.832	0.089
c2	5	-491801.3	264007.8	-0.402	986327.0	984116.5	0.848	0.089
c2	6	-490747.1	260625.5	-0.410	984780.5	982114.1	0.839	0.102

Predicted classification (%) by country NEU - 2009

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
CHL	43.6	11.2	13.6	26.1	5.5
COL	30.8	18.1	11.8	36.0	3.4
DOM	9.6	13.2	3.0	60.2	14.1
HKG	36.4	24.0	25.0	10.7	3.9
KOR	23.8	23.4	42.4	2.7	7.7
MEX	0.0	0.0	0.0	100.0	0.0
RUS	6.9	43.1	6.8	34.1	9.2
TWN	57.7	13.8	20.5	6.1	1.9

2016

Model fit NEU 2016 with covariate country

L1	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
c3	1	-343011.4	192029.08	0.000	686338.1	686082.8
c3	2	-300807.6	112163.99	-0.416	602329.9	601751.3	0.838	0.049
c3	3	-287398.5	89421.18	-0.534	575910.9	575009.0	0.847	0.069
c3	4	-284557.3	80100.07	-0.583	570627.8	569402.5	0.818	0.097
c3	5	-306109.2	99549.30	-0.482	614131.1	612582.4	0.924	0.038
c3	6	-314927.5	109203.98	-0.431	632167.1	630295.1	0.814	0.341

Predicted classification (%) by country NEU - 2016

	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Engaged but not with gender political difference
CHL	66.5	0.0	0.0	33.5	0.0
COL	0.0	0.0	100.0	0.0	0.0
DOM	0.0	0.0	100.0	0.0	0.0
HKG	0.0	29.9	68.2	0.0	1.9
KOR	0.0	25.6	74.3	0.0	0.1
MEX	0.0	0.0	100.0	0.0	0.0
RUS	12.8	38.0	6.8	0.0	42.5
TWN	82.5	17.5	0.0	0.0	0.0

Size of each 5 latent class with all scales controlling by NEU countries

Year	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged but not with gender political difference
1999	0.220	0.251	0.213	0.176	0.140
2009	0.253	0.169	0.149	0.370	0.059
2016	0.204	0.133	0.533	0.083		0.047

5. All items with 4 response categories and Covariate CYCLE

5.1 European countries

Model fit EU with covariate Time (cycle)

NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
1	-1790588	1132536.1	0.000	3581702	3581266
2	-1608316	819065.9	-0.277	3217707	3216816	0.856	0.043
3	-1557206	735940.2	-0.350	3116037	3114690	0.846	0.064
4	-1515548	663945.3	-0.414	3033271	3031469	0.835	0.091
5	-1490732	620049.9	-0.453	2984187	2981929	0.836	0.104
6	-1486738	616402.8	-0.456	2976750	2974036	0.834	0.112
7	-1655340	675804.5	-0.403	3314504	3311335	0.902	0.050

5.1.1 EU - Cycle as covariate, 4 latent classes

5.1.2 EU - Cycle as covariate, 5 latent classes

Size of each 4 latent class with all scales controlling by cycle, NEU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Against immigrant and ethnics political equality
4	0.322	0.266	0.288	0.123

Size of each 5 latent class with all scales controlling by cycle, EU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
5	0.263	0.221	0.256	0.163	0.097

5.2 Non-European countries

Model fit NEU with covariate Time (cycle)

NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
1	-910909.4	432789.8	0.000	1822163	1821879
2	-806553.3	238630.8	-0.449	1613817	1613231	0.830	0.052
3	-784135.6	195473.7	-0.548	1569348	1568459	0.814	0.085
4	-766454.9	162170.1	-0.625	1534353	1533162	0.797	0.114
5	-755063.3	142295.1	-0.671	1511937	1510443	0.797	0.123
6	-806553.3	237021.0	-0.452	1615283	1613487	0.028	1.000
7	-841061.4	203137.0	-0.531	1684666	1682567	0.629	0.806

5.2.1 NEU - Cycle as covariate, 4 latent classes

5.2.2 NEU - Cycle as covariate, 5 latent classes

Size of each 4 latent class with all scales controlling by cycle, NEU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality
4	0.3	0.215	0.22	0.264

Size of each 5 latent class with all scales controlling by cycle, NEU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
5	0.297	0.191	0.169	0.256	0.087

6. All items with Covariates COUNTRY and CYCLE

6.1 European countries

Model fit EU with covariates Time and Country

NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
1	-1790588	1132536.1	0.000	3581702	3581266
2	-1605430	819243.8	-0.277	3212217	3211093	0.856	0.043
3	-1553181	736003.0	-0.350	3108547	3106735	0.846	0.064
4	-1509556	664008.1	-0.414	3022129	3019628	0.838	0.089
5	-1483297	620325.2	-0.452	2970441	2967252	0.841	0.100
6	-1747624	888405.7	-0.216	3499925	3496049	0.958	0.019
7	-1762227	945157.9	-0.165	3529960	3525395	0.899	1.000

6.1.1 EU - Country and Cycle as covariates, 4 latent classes

Size of each 4 latent class with all scales controlling by cycle and EU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Against immigrant and ethnics political equality
4	0.32	0.273	0.28	0.127

6.1.2 EU - Country and Cycle as covariates, 5 latent classes

Size of each 5 latent class with all scales controlling by cycle and EU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
5	0.266	0.222	0.251	0.162	0.098

6.2 Non-European countries

Model fit NEU with covariates Time and Country

NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
1	-910909.4	432789.8	0.000	1822163	1821879
2	-803159.5	238706.1	-0.448	1607190	1606471	0.832	0.051
3	-775909.7	195982.8	-0.547	1553217	1552063	0.818	0.081
4	-757452.1	162615.9	-0.624	1516829	1515240	0.807	0.105
5	-877151.9	304641.2	-0.296	1756756	1754732	0.959	0.021
6	-875471.7	323678.6	-0.252	1753922	1751463	0.980	0.014
7	-866543.9	294764.6	-0.319	1736594	1733700	0.965	0.018

6.2.1 NEU - Country and Cycle as covariates, 4 latent classes

Size of each 4 latent class with all scales controlling by cycle and NEU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality
4	0.3	0.221	0.192	0.287

6.2.2 NEU - Country and Cycle as covariates, 5 latent classes

Size of each 5 latent class with all scales controlling by cycle and NEU countries

NClass	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Engaged but not with gender political difference
5	0.359	0.063	0.399	0.14	0.038

7. All items by COUNTRY and by CYCLE

7.1 European countries

7.1.1 EU - Conditional probabilities by country an cycle

BGR

Model fit BGR

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
BGR	C1	5	-38384.06	20037.88	-0.275	78592.54	77226.11	0.786	0.142
BGR	C2	5	-45084.40	39246.08	-0.261	92021.09	90626.81	0.817	0.116
BGR	C3	5	-43499.63	37993.12	-0.234	88830.11	87457.26	0.816	0.114

Highest conditional probabilities to each class BGR

BGR	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.16	0.20	0.21	0.16	0.26	0.26	0.20	0.16	0.25	0.13	0.19	0.19	0.24	0.23	0.16
T_ETHNEQ1	0.82	0.90	0.61	0.45	0.49	0.98	0.87	0.65	0.70	0.34	0.95	0.83	0.66	0.70	0.33
T_ETHNEQ2	0.83	0.87	0.57	0.34	0.43	0.96	0.82	0.73	0.58	0.33	0.93	0.79	0.56	0.61	0.30
T_ETHNEQ3	0.83	0.80	0.51	0.32	0.42	0.90	0.77	0.61	0.60	0.32	0.90	0.75	0.61	0.61	0.29
T_ETHNEQ4	0.52	0.70	0.54	0.33	0.36	0.40	0.48	0.44	0.45	0.53	0.38	0.48	0.41	0.44	0.48
T_GNDREQ1	0.72	0.84	0.55	0.52	0.41	0.95	0.74	0.89	0.51	0.48	0.95	0.67	0.95	0.53	0.57
T_GNDREQ2	0.90	0.83	0.85	0.29	0.47	0.94	0.68	0.89	0.46	0.41	0.89	0.64	0.90	0.47	0.43
T_GNDREQ3	0.63	0.70	0.68	0.30	0.37	0.62	0.68	0.64	0.51	0.32	0.60	0.61	0.68	0.51	0.32
T_GNDREQ4	0.53	0.55	0.46	0.31	0.40	0.54	0.50	0.58	0.37	0.36	0.52	0.51	0.61	0.35	0.31
T_GNDREQ5	0.89	0.74	0.81	0.32	0.42	0.91	0.65	0.91	0.51	0.45	0.91	0.59	0.89	0.53	0.50
T_GNDREQ6	0.46	0.51	0.46	0.52	0.47	0.45	0.50	0.43	0.38	0.39	0.44	0.44	0.51	0.35	0.26
T_IMMIEQ1	0.69	0.86	0.73	0.63	0.47	0.62	0.76	0.49	0.43	0.36	0.54	0.63	0.60	0.51	0.37
T_IMMIEQ2	0.91	0.95	0.60	0.46	0.52	0.94	0.85	0.67	0.55	0.37	0.94	0.76	0.64	0.55	0.32
T_IMMIEQ3	0.58	0.74	0.61	0.35	0.38	0.57	0.69	0.53	0.48	0.29	0.52	0.54	0.43	0.47	0.51
T_IMMIEQ4	0.82	0.88	0.62	0.30	0.44	0.78	0.84	0.52	0.51	0.33	0.75	0.70	0.69	0.57	0.49
T_IMMIEQ5	0.79	0.79	0.66	0.34	0.43	0.83	0.79	0.50	0.45	0.28	0.84	0.65	0.66	0.49	0.49

DNK

Model fit DNK

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
DNK	C1	5	-38303.23	20167.36	-0.337	78455.27	77064.46	0.842	0.099
DNK	C2	5	-48983.06	32488.10	-0.447	99892.83	98424.12	0.869	0.077
DNK	C3	5	-62662.03	34181.30	-0.438	127325.74	125782.06	0.849	0.097

Highest conditional probabilities to each class DNK

DNK	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.29	0.18	0.29	0.16	0.09	0.20	0.35	0.30	0.10	0.06	0.33	0.17	0.25	0.20	0.06
T_ETHNEQ1	0.93	0.74	0.50	0.51	0.43	0.88	0.95	0.85	0.77	0.38	0.96	0.79	0.89	0.99	0.30
T_ETHNEQ2	0.79	0.86	0.65	0.45	0.55	0.88	0.95	0.87	0.76	0.38	0.95	0.80	0.92	0.98	0.36
T_ETHNEQ3	0.61	0.75	0.52	0.41	0.52	0.70	0.64	0.62	0.56	0.40	0.74	0.68	0.62	0.65	0.31
T_ETHNEQ4	0.46	0.69	0.51	0.47	0.57	0.53	0.46	0.56	0.49	0.55	0.49	0.58	0.53	0.52	0.38
T_GNDREQ1	0.87	0.72	0.84	0.58	0.51	0.86	0.98	0.88	0.46	0.48	0.97	0.68	0.94	0.96	0.60
T_GNDREQ2	0.89	0.71	0.87	0.52	0.52	0.81	0.97	0.91	0.48	0.45	0.96	0.66	0.93	0.94	0.53
T_GNDREQ3	0.90	0.62	0.94	0.53	0.62	0.69	0.99	0.92	0.45	0.44	0.95	0.70	0.96	0.95	0.47
T_GNDREQ4	0.88	0.69	0.90	0.44	0.52	0.63	0.94	0.86	0.46	0.40	0.91	0.68	0.89	0.90	0.44
T_GNDREQ5	0.92	0.63	0.92	0.49	0.58	0.70	0.96	0.88	0.51	0.48	0.92	0.67	0.84	0.89	0.48
T_GNDREQ6	0.74	0.73	0.77	0.39	0.43	0.64	0.82	0.64	0.47	0.32	0.85	0.65	0.75	0.77	0.34
T_IMMIEQ1	0.45	0.60	0.48	0.37	0.85	0.51	0.53	0.48	0.50	0.54	0.52	0.52	0.46	0.56	0.49
T_IMMIEQ2	0.95	0.84	0.72	0.53	0.54	0.91	0.90	0.74	0.61	0.40	0.96	0.79	0.73	0.68	0.34
T_IMMIEQ3	0.75	0.85	0.66	0.48	0.63	0.76	0.67	0.70	0.46	0.40	0.75	0.72	0.70	0.78	0.34
T_IMMIEQ4	0.49	0.69	0.57	0.35	0.77	0.72	0.47	0.69	0.51	0.49	0.50	0.68	0.65	0.75	0.35
T_IMMIEQ5	0.81	0.82	0.71	0.44	0.65	0.80	0.81	0.75	0.55	0.41	0.92	0.72	0.65	0.73	0.35

EST

Model fit EST

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
EST	C1	5	-42092.39	23592.68	-0.265	86049.19	84642.79	0.794	0.125
EST	C2	5	-35867.31	29449.69	-0.265	73547.57	72192.62	0.820	0.112
EST	C3	5	-35659.76	27220.15	-0.299	73141.78	71777.51	0.821	0.108

Highest conditional probabilities to each class EST

EST	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.18	0.27	0.33	0.14	0.09	0.25	0.23	0.25	0.20	0.06	0.20	0.24	0.28	0.20	0.07
T_ETHNEQ1	0.86	0.87	0.56	0.71	0.42	0.92	0.80	0.57	0.62	0.42	0.98	0.82	0.76	0.73	0.47
T_ETHNEQ2	0.84	0.90	0.64	0.53	0.31	0.85	0.80	0.55	0.59	0.41	0.96	0.82	0.65	0.66	0.43
T_ETHNEQ3	0.75	0.82	0.54	0.69	0.33	0.79	0.78	0.51	0.47	0.30	0.91	0.73	0.62	0.54	0.39
T_ETHNEQ4	0.56	0.82	0.64	0.56	0.29	0.47	0.66	0.67	0.57	0.36	0.61	0.66	0.58	0.63	0.36
T_GNDREQ1	0.57	0.91	0.59	0.72	0.34	0.99	0.74	0.93	0.66	0.64	1.00	0.61	0.96	0.71	0.55
T_GNDREQ2	0.78	0.77	0.83	0.58	0.34	0.90	0.67	0.78	0.59	0.42	0.93	0.55	0.84	0.56	0.48
T_GNDREQ3	0.62	0.79	0.72	0.64	0.27	0.92	0.78	0.71	0.64	0.47	0.96	0.76	0.84	0.64	0.32
T_GNDREQ4	0.41	0.63	0.53	0.48	0.29	0.80	0.57	0.56	0.46	0.34	0.91	0.59	0.79	0.55	0.31
T_GNDREQ5	0.82	0.77	0.79	0.64	0.38	0.92	0.67	0.81	0.60	0.50	0.98	0.55	0.92	0.63	0.61
T_GNDREQ6	0.36	0.52	0.48	0.63	0.35	0.60	0.50	0.40	0.36	0.27	0.75	0.56	0.56	0.51	0.38
T_IMMIEQ1	0.53	0.83	0.70	0.55	0.37	0.48	0.54	0.50	0.47	0.49	0.54	0.57	0.50	0.56	0.44
T_IMMIEQ2	0.92	0.94	0.69	0.78	0.38	0.90	0.84	0.76	0.75	0.36	0.93	0.84	0.77	0.60	0.37
T_IMMIEQ3	0.64	0.85	0.68	0.48	0.29	0.46	0.67	0.62	0.49	0.39	0.49	0.55	0.61	0.52	0.49
T_IMMIEQ4	0.64	0.83	0.74	0.55	0.35	0.46	0.65	0.66	0.49	0.51	0.52	0.50	0.49	0.53	0.56
T_IMMIEQ5	0.72	0.85	0.67	0.48	0.31	0.74	0.71	0.69	0.64	0.36	0.79	0.74	0.72	0.55	0.35

FIN

Model fit FIN

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
FIN	C1	5	-30840.27	16258.13	-0.394	63496.72	62138.54	0.854	0.087
FIN	C2	5	-37190.18	26455.94	-0.446	76236.12	74838.35	0.893	0.061
FIN	C3	5	-33766.60	22012.94	-0.453	69379.50	67991.21	0.883	0.069

Highest conditional probabilities to each class FIN

FIN	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.23	0.28	0.28	0.10	0.11	0.28	0.25	0.31	0.09	0.07	0.32	0.18	0.22	0.21	0.07
T_ETHNEQ1	0.91	0.86	0.51	0.55	0.39	0.94	0.89	0.89	0.62	0.41	0.97	0.86	0.90	0.99	0.46
T_ETHNEQ2	0.91	0.83	0.54	0.57	0.30	0.94	0.86	0.90	0.60	0.36	0.96	0.84	0.91	0.96	0.43
T_ETHNEQ3	0.71	0.73	0.61	0.47	0.35	0.77	0.69	0.69	0.45	0.37	0.90	0.75	0.73	0.72	0.35
T_ETHNEQ4	0.57	0.76	0.76	0.63	0.38	0.50	0.58	0.67	0.51	0.44	0.61	0.64	0.72	0.49	0.39
T_GNDREQ1	0.80	0.88	0.53	0.67	0.42	0.98	0.76	0.93	0.71	0.44	0.99	0.69	0.93	0.97	0.47
T_GNDREQ2	0.99	0.75	0.91	0.58	0.39	0.96	0.73	0.92	0.65	0.41	0.97	0.64	0.91	0.95	0.46
T_GNDREQ3	0.96	0.74	0.83	0.51	0.28	0.96	0.78	0.86	0.66	0.34	0.92	0.78	0.72	0.82	0.37
T_GNDREQ4	0.91	0.71	0.78	0.47	0.29	0.94	0.68	0.87	0.52	0.33	0.89	0.66	0.75	0.79	0.34
T_GNDREQ5	0.97	0.76	0.82	0.60	0.39	0.97	0.72	0.90	0.56	0.42	0.96	0.67	0.82	0.88	0.39
T_GNDREQ6	0.85	0.64	0.59	0.52	0.31	0.82	0.62	0.70	0.54	0.31	0.82	0.59	0.57	0.65	0.31
T_IMMIEQ1	0.56	0.72	0.78	0.48	0.55	0.53	0.57	0.61	0.41	0.59	0.50	0.51	0.60	0.65	0.61
T_IMMIEQ2	0.93	0.92	0.82	0.83	0.34	0.90	0.84	0.62	0.64	0.41	0.96	0.76	0.72	0.71	0.40
T_IMMIEQ3	0.67	0.70	0.71	0.48	0.53	0.62	0.65	0.63	0.44	0.54	0.69	0.60	0.66	0.71	0.54
T_IMMIEQ4	0.59	0.75	0.76	0.55	0.47	0.46	0.61	0.63	0.45	0.60	0.45	0.51	0.52	0.59	0.67
T_IMMIEQ5	0.81	0.79	0.77	0.68	0.46	0.83	0.75	0.64	0.55	0.43	0.95	0.69	0.69	0.70	0.44

ITA

Model fit ITA

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
ITA	C1	5	-47307.39	23149.01	-0.303	96502.85	95072.78	0.810	0.120
ITA	C2	5	-41808.69	31916.52	-0.339	85477.20	84075.38	0.845	0.095
ITA	C3	5	-40924.29	29386.38	-0.330	83714.05	82306.58	0.827	0.100

Highest conditional probabilities to each class ITA

ITA	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.19	0.23	0.23	0.16	0.20	0.30	0.17	0.26	0.19	0.08	0.32	0.14	0.30	0.16	0.08
T_ETHNEQ1	0.83	0.87	0.72	0.62	0.36	0.93	0.88	0.76	0.51	0.33	0.95	0.87	0.56	0.71	0.34
T_ETHNEQ2	0.77	0.80	0.73	0.63	0.32	0.88	0.79	0.80	0.54	0.35	0.90	0.80	0.64	0.56	0.33
T_ETHNEQ3	0.88	0.77	0.50	0.67	0.36	0.91	0.76	0.60	0.57	0.37	0.93	0.74	0.57	0.64	0.38
T_ETHNEQ4	0.48	0.60	0.65	0.70	0.32	0.55	0.49	0.55	0.59	0.42	0.53	0.53	0.60	0.54	0.39
T_GNDREQ1	0.73	0.89	0.55	0.74	0.38	0.99	0.76	0.94	0.66	0.46	0.99	0.69	0.95	0.72	0.63
T_GNDREQ2	0.95	0.65	0.90	0.57	0.34	0.99	0.67	0.94	0.66	0.44	0.98	0.64	0.95	0.68	0.55
T_GNDREQ3	0.95	0.77	0.92	0.54	0.33	0.90	0.72	0.83	0.50	0.39	0.96	0.67	0.85	0.45	0.47
T_GNDREQ4	0.77	0.61	0.63	0.46	0.27	0.79	0.58	0.66	0.46	0.26	0.86	0.50	0.68	0.47	0.31
T_GNDREQ5	0.89	0.75	0.75	0.49	0.36	0.96	0.70	0.91	0.61	0.48	0.97	0.57	0.92	0.71	0.59
T_GNDREQ6	0.79	0.73	0.69	0.56	0.31	0.74	0.56	0.56	0.46	0.32	0.78	0.58	0.59	0.53	0.29
T_IMMIEQ1	0.51	0.72	0.73	0.67	0.35	0.52	0.55	0.50	0.53	0.49	0.52	0.56	0.50	0.54	0.53
T_IMMIEQ2	0.92	0.91	0.73	0.62	0.44	0.93	0.87	0.69	0.63	0.31	0.95	0.86	0.70	0.74	0.41
T_IMMIEQ3	0.48	0.70	0.68	0.64	0.31	0.54	0.58	0.65	0.49	0.47	0.56	0.56	0.62	0.55	0.42
T_IMMIEQ4	0.59	0.80	0.77	0.58	0.35	0.53	0.63	0.61	0.53	0.55	0.49	0.58	0.58	0.50	0.52
T_IMMIEQ5	0.89	0.86	0.75	0.59	0.38	0.89	0.82	0.68	0.52	0.38	0.92	0.76	0.67	0.69	0.35

LTU

Model fit LTU

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
LTU	C1	5	-43266.54	23645.16	-0.252	88401.45	86991.08	0.786	0.130
LTU	C2	5	-50125.46	38110.95	-0.313	102144.57	100708.91	0.825	0.107
LTU	C3	5	-47302.88	36969.87	-0.285	96482.93	95063.76	0.827	0.105

Highest conditional probabilities to each class LTU

LTU	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.13	0.31	0.25	0.15	0.16	0.26	0.24	0.22	0.19	0.09	0.25	0.23	0.22	0.23	0.08
T_ETHNEQ1	0.93	0.85	0.55	0.57	0.46	0.90	0.88	0.73	0.72	0.39	0.92	0.85	0.70	0.67	0.43
T_ETHNEQ2	0.92	0.85	0.50	0.63	0.37	0.90	0.86	0.74	0.71	0.38	0.91	0.84	0.68	0.61	0.36
T_ETHNEQ3	0.83	0.83	0.55	0.57	0.38	0.87	0.77	0.56	0.69	0.36	0.93	0.72	0.76	0.67	0.33
T_ETHNEQ4	0.49	0.66	0.64	0.56	0.34	0.42	0.62	0.57	0.49	0.33	0.46	0.68	0.50	0.49	0.31
T_GNDREQ1	0.75	0.83	0.52	0.62	0.39	0.95	0.82	0.81	0.66	0.44	0.97	0.69	0.89	0.61	0.48
T_GNDREQ2	0.95	0.74	0.84	0.49	0.33	0.94	0.77	0.74	0.63	0.36	0.89	0.66	0.79	0.54	0.41
T_GNDREQ3	0.78	0.73	0.69	0.60	0.34	0.90	0.81	0.52	0.67	0.31	0.91	0.71	0.64	0.57	0.30
T_GNDREQ4	0.63	0.69	0.54	0.49	0.28	0.75	0.52	0.47	0.52	0.37	0.82	0.55	0.49	0.46	0.34
T_GNDREQ5	0.92	0.69	0.82	0.64	0.47	0.90	0.72	0.65	0.63	0.41	0.92	0.64	0.81	0.58	0.45
T_GNDREQ6	0.61	0.54	0.47	0.50	0.32	0.70	0.56	0.57	0.49	0.39	0.75	0.52	0.44	0.42	0.38
T_IMMIEQ1	0.60	0.80	0.83	0.65	0.37	0.60	0.82	0.70	0.57	0.39	0.54	0.73	0.71	0.47	0.33
T_IMMIEQ2	0.86	0.86	0.80	0.55	0.32	0.91	0.83	0.59	0.83	0.38	0.95	0.82	0.75	0.71	0.48
T_IMMIEQ3	0.55	0.64	0.61	0.55	0.33	0.45	0.61	0.59	0.47	0.37	0.44	0.59	0.60	0.47	0.41
T_IMMIEQ4	0.71	0.79	0.79	0.51	0.39	0.70	0.80	0.72	0.64	0.37	0.61	0.69	0.76	0.47	0.36
T_IMMIEQ5	0.70	0.67	0.70	0.54	0.37	0.68	0.72	0.64	0.66	0.36	0.82	0.74	0.75	0.67	0.32

LVA

Model fit LVA

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
LVA	C1	5	-33061.97	19042.74	-0.228	67922.16	66581.95	0.794	0.123
LVA	C2	5	-39940.31	36051.31	-0.202	81695.07	80338.63	0.808	0.116
LVA	C3	5	-44712.57	36920.83	-0.239	91275.08	89883.13	0.822	0.108

Highest conditional probabilities to each class LVA

LVA	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.11	0.34	0.20	0.17	0.18	0.16	0.31	0.24	0.21	0.08	0.22	0.26	0.21	0.20	0.10
T_ETHNEQ1	0.87	0.89	0.60	0.61	0.46	0.91	0.85	0.85	0.63	0.39	0.97	0.89	0.82	0.67	0.49
T_ETHNEQ2	0.90	0.85	0.59	0.63	0.43	0.90	0.85	0.87	0.62	0.40	0.97	0.86	0.85	0.58	0.50
T_ETHNEQ3	0.77	0.82	0.54	0.50	0.40	0.68	0.73	0.72	0.47	0.32	0.82	0.74	0.65	0.46	0.51
T_ETHNEQ4	0.57	0.56	0.42	0.54	0.34	0.47	0.49	0.50	0.55	0.35	0.38	0.54	0.48	0.54	0.40
T_GNDREQ1	0.58	0.84	0.53	0.65	0.43	0.96	0.76	0.87	0.59	0.38	0.95	0.76	0.90	0.52	0.39
T_GNDREQ2	0.80	0.74	0.84	0.48	0.37	0.90	0.64	0.77	0.49	0.32	0.90	0.63	0.77	0.39	0.31
T_GNDREQ3	0.68	0.78	0.69	0.57	0.35	0.76	0.72	0.60	0.60	0.32	0.76	0.75	0.55	0.55	0.38
T_GNDREQ4	0.41	0.61	0.45	0.43	0.39	0.72	0.55	0.50	0.43	0.31	0.70	0.61	0.50	0.38	0.31
T_GNDREQ5	0.84	0.71	0.75	0.44	0.29	0.92	0.65	0.78	0.52	0.32	0.91	0.68	0.80	0.51	0.44
T_GNDREQ6	0.52	0.52	0.43	0.42	0.39	0.65	0.56	0.46	0.47	0.33	0.61	0.57	0.50	0.39	0.32
T_IMMIEQ1	0.58	0.81	0.70	0.62	0.40	0.44	0.64	0.50	0.50	0.29	0.46	0.49	0.47	0.47	0.59
T_IMMIEQ2	0.94	0.88	0.71	0.63	0.50	0.35	0.56	0.46	0.39	0.42	0.51	0.83	0.75	0.52	0.34
T_IMMIEQ3	0.62	0.69	0.62	0.53	0.39	0.63	0.69	0.60	0.48	0.27	0.43	0.54	0.46	0.54	0.47
T_IMMIEQ4	0.71	0.80	0.74	0.53	0.42	0.43	0.70	0.68	0.50	0.33	0.48	0.50	0.48	0.49	0.59
T_IMMIEQ5	0.70	0.75	0.67	0.49	0.47	0.47	0.60	0.54	0.44	0.28	0.46	0.71	0.69	0.47	0.43

NOR

Model fit NOR

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
NOR	C1	5	-36820.39	17898.32	-0.392	75497.51	74098.77	0.856	0.088
NOR	C2	5	-32679.38	23315.20	-0.434	67193.22	65816.77	0.851	0.088
NOR	C3	5	-60767.04	34710.50	-0.469	123536.39	121992.09	0.863	0.083

Highest conditional probabilities to each class NOR

NOR	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.30	0.18	0.31	0.09	0.13	0.34	0.18	0.26	0.14	0.08	0.05	0.20	0.14	0.38	0.23
T_ETHNEQ1	0.95	0.87	0.55	0.50	0.36	0.91	0.86	0.75	0.70	0.32	0.96	0.71	0.86	0.96	0.28
T_ETHNEQ2	0.88	0.83	0.59	0.49	0.31	0.91	0.84	0.77	0.69	0.32	0.95	0.73	0.90	0.96	0.35
T_ETHNEQ3	0.65	0.72	0.62	0.38	0.32	0.94	0.82	0.49	0.66	0.30	0.96	0.69	0.54	0.93	0.33
T_ETHNEQ4	0.51	0.72	0.76	0.52	0.32	0.69	0.74	0.72	0.46	0.34	0.73	0.68	0.76	0.58	0.31
T_GNDREQ1	0.89	0.86	0.69	0.52	0.34	0.98	0.76	0.91	0.67	0.52	0.97	0.66	0.93	0.98	0.61
T_GNDREQ2	0.96	0.76	0.89	0.50	0.40	0.99	0.75	0.94	0.66	0.46	0.97	0.65	0.92	0.96	0.57
T_GNDREQ3	0.98	0.70	0.90	0.51	0.37	0.97	0.76	0.84	0.48	0.43	0.92	0.64	0.88	0.91	0.52
T_GNDREQ4	0.86	0.68	0.71	0.44	0.27	0.88	0.68	0.69	0.46	0.37	0.90	0.62	0.84	0.86	0.46
T_GNDREQ5	0.97	0.73	0.89	0.55	0.39	0.97	0.72	0.93	0.67	0.47	0.95	0.67	0.89	0.91	0.54
T_GNDREQ6	0.87	0.66	0.68	0.40	0.26	0.91	0.68	0.66	0.49	0.35	0.85	0.55	0.74	0.78	0.38
T_IMMIEQ1	0.61	0.72	0.75	0.65	0.62	0.48	0.63	0.61	0.48	0.58	0.54	0.58	0.58	0.66	0.49
T_IMMIEQ2	0.96	0.86	0.68	0.88	0.35	0.96	0.89	0.63	0.79	0.34	0.98	0.75	0.65	0.54	0.36
T_IMMIEQ3	0.76	0.75	0.73	0.68	0.44	0.72	0.70	0.65	0.60	0.44	0.77	0.63	0.62	0.72	0.40
T_IMMIEQ4	0.67	0.71	0.70	0.65	0.47	0.55	0.71	0.60	0.55	0.61	0.69	0.68	0.62	0.73	0.45
T_IMMIEQ5	0.94	0.80	0.74	0.77	0.41	0.89	0.76	0.67	0.73	0.47	0.96	0.67	0.64	0.61	0.35

SVN

Model fit SVN

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
SVN	C1	5	-40634.00	23772.80	-0.263	83106.59	81725.99	0.828	0.104
SVN	C2	5	-38730.05	30734.70	-0.344	79298.84	77918.10	0.858	0.084
SVN	C3	5	-34498.94	26396.24	-0.337	70819.10	69455.87	0.851	0.091

Highest conditional probabilities to each class SVN

SVN	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.21	0.25	0.32	0.16	0.06	0.33	0.20	0.24	0.14	0.09	0.30	0.17	0.28	0.18	0.07
T_ETHNEQ1	0.75	0.88	0.71	0.46	0.34	0.85	0.81	0.73	0.60	0.45	0.95	0.81	0.51	0.63	0.34
T_ETHNEQ2	0.79	0.81	0.68	0.42	0.35	0.83	0.80	0.71	0.58	0.32	0.93	0.78	0.49	0.61	0.31
T_ETHNEQ3	0.82	0.75	0.50	0.38	0.35	0.81	0.74	0.62	0.57	0.33	0.92	0.74	0.50	0.62	0.31
T_ETHNEQ4	0.44	0.54	0.53	0.38	0.44	0.42	0.56	0.58	0.46	0.36	0.41	0.49	0.49	0.52	0.36
T_GNDREQ1	0.72	0.79	0.51	0.40	0.44	0.98	0.78	0.87	0.66	0.48	0.98	0.78	0.91	0.62	0.48
T_GNDREQ2	0.88	0.80	0.79	0.42	0.54	0.98	0.74	0.86	0.62	0.43	0.98	0.69	0.93	0.66	0.42
T_GNDREQ3	0.82	0.83	0.79	0.36	0.56	0.97	0.65	0.89	0.42	0.40	0.97	0.69	0.86	0.54	0.39
T_GNDREQ4	0.69	0.71	0.57	0.38	0.51	0.91	0.61	0.79	0.43	0.41	0.93	0.59	0.82	0.47	0.35
T_GNDREQ5	0.88	0.76	0.75	0.42	0.55	0.96	0.71	0.85	0.64	0.45	0.97	0.68	0.90	0.66	0.42
T_GNDREQ6	0.64	0.58	0.50	0.41	0.36	0.80	0.48	0.58	0.33	0.40	0.83	0.57	0.65	0.50	0.33
T_IMMIEQ1	0.46	0.60	0.61	0.29	0.79	0.42	0.59	0.60	0.50	0.49	0.46	0.58	0.58	0.49	0.35
T_IMMIEQ2	0.93	0.89	0.73	0.47	0.34	0.96	0.81	0.62	0.76	0.32	0.93	0.88	0.74	0.71	0.44
T_IMMIEQ3	0.57	0.75	0.69	0.36	0.60	0.64	0.69	0.67	0.57	0.36	0.62	0.67	0.68	0.48	0.34
T_IMMIEQ4	0.55	0.66	0.72	0.41	0.67	0.61	0.72	0.71	0.60	0.45	0.58	0.66	0.67	0.48	0.41
T_IMMIEQ5	0.71	0.71	0.76	0.39	0.61	0.85	0.76	0.70	0.71	0.31	0.90	0.80	0.74	0.68	0.32

SWE

Model fit SWE

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
SWE	C1	5	-33032.21	15835.78	-0.396	67903.39	66522.43	0.849	0.095
SWE	C2	5	-35881.04	24817.79	-0.477	73628.47	72220.08	0.888	0.064
SWE	C3	5	-28673.19	16481.48	-0.475	59199.15	57804.37	0.874	0.065

Highest conditional probabilities to each class SWE

SWE	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.31	0.19	0.24	0.16	0.09	0.38	0.15	0.27	0.12	0.09	0.46	0.12	0.24	0.13	0.05
T_ETHNEQ1	0.82	0.89	0.70	0.62	0.38	0.94	0.90	0.82	0.50	0.31	0.99	0.83	0.58	0.57	0.27
T_ETHNEQ2	0.82	0.81	0.69	0.54	0.36	0.92	0.86	0.84	0.54	0.36	0.99	0.82	0.55	0.52	0.33
T_ETHNEQ3	0.76	0.77	0.65	0.44	0.38	0.97	0.83	0.58	0.56	0.31	0.98	0.74	0.71	0.66	0.33
T_ETHNEQ4	0.61	0.77	0.68	0.59	0.38	0.82	0.81	0.71	0.52	0.37	0.86	0.73	0.49	0.47	0.30
T_GNDREQ1	0.87	0.83	0.63	0.60	0.36	1.00	0.76	0.97	0.68	0.47	0.99	0.53	0.98	0.76	0.59
T_GNDREQ2	0.98	0.77	0.89	0.50	0.43	0.98	0.80	0.92	0.61	0.38	0.98	0.57	0.95	0.69	0.53
T_GNDREQ3	0.96	0.64	0.90	0.45	0.40	0.98	0.68	0.93	0.43	0.37	0.99	0.59	0.97	0.55	0.46
T_GNDREQ4	0.70	0.59	0.54	0.36	0.32	0.92	0.67	0.86	0.38	0.31	0.97	0.65	0.89	0.37	0.42
T_GNDREQ5	0.97	0.73	0.89	0.58	0.42	0.98	0.63	0.95	0.62	0.39	0.97	0.58	0.94	0.63	0.52
T_GNDREQ6	0.82	0.61	0.65	0.39	0.31	0.89	0.68	0.76	0.37	0.29	0.95	0.64	0.86	0.41	0.31
T_IMMIEQ1	0.76	0.74	0.70	0.75	0.62	0.55	0.61	0.61	0.71	0.57	0.57	0.58	0.69	0.63	0.59
T_IMMIEQ2	0.99	0.88	0.64	0.90	0.36	0.96	0.86	0.59	0.93	0.36	0.97	0.85	0.72	0.89	0.36
T_IMMIEQ3	0.86	0.82	0.68	0.78	0.42	0.76	0.75	0.65	0.78	0.41	0.75	0.72	0.74	0.70	0.51
T_IMMIEQ4	0.77	0.75	0.73	0.77	0.54	0.59	0.70	0.62	0.72	0.55	0.63	0.71	0.70	0.56	0.60
T_IMMIEQ5	0.93	0.82	0.71	0.84	0.42	0.92	0.85	0.61	0.90	0.41	0.98	0.76	0.69	0.90	0.48

BFL

Model fit BFL

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
BFL	C2	5	-37276.58	28973.06	-0.334	76384.16	75011.16	0.861	0.082
BFL	C3	5	-34518.83	24501.31	-0.308	70865.78	69495.65	0.837	0.100

Highest conditional probabilities to each class BFL

BFL	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.30	0.21	0.28	0.12	0.09	0.28	0.20	0.24	0.22	0.07
T_ETHNEQ1	0.90	0.91	0.92	0.53	0.40	0.80	0.79	0.90	0.96	0.42
T_ETHNEQ2	0.92	0.91	0.90	0.55	0.40	0.83	0.77	0.91	0.95	0.39
T_ETHNEQ3	0.81	0.82	0.79	0.49	0.35	0.78	0.71	0.73	0.73	0.44
T_ETHNEQ4	0.41	0.61	0.59	0.62	0.36	0.46	0.54	0.49	0.48	0.40
T_GNDREQ1	0.98	0.84	0.89	0.65	0.52	0.95	0.64	0.90	0.98	0.81
T_GNDREQ2	0.96	0.81	0.88	0.58	0.45	0.91	0.63	0.88	0.96	0.81
T_GNDREQ3	0.90	0.66	0.84	0.47	0.46	0.82	0.67	0.83	0.93	0.71
T_GNDREQ4	0.85	0.62	0.80	0.49	0.39	0.73	0.62	0.76	0.88	0.59
T_GNDREQ5	0.96	0.72	0.90	0.56	0.51	0.92	0.57	0.86	0.95	0.75
T_GNDREQ6	0.76	0.60	0.63	0.49	0.34	0.67	0.55	0.54	0.77	0.51
T_IMMIEQ1	0.36	0.46	0.44	0.53	0.68	0.48	0.48	0.46	0.46	0.65
T_IMMIEQ2	0.81	0.86	0.68	0.57	0.35	0.93	0.74	0.76	0.57	0.39
T_IMMIEQ3	0.46	0.68	0.63	0.55	0.46	0.66	0.62	0.63	0.68	0.39
T_IMMIEQ4	0.43	0.54	0.52	0.53	0.62	0.47	0.54	0.52	0.58	0.60
T_IMMIEQ5	0.72	0.75	0.65	0.50	0.35	0.91	0.64	0.70	0.63	0.30

MLT

Model fit MLT

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
MLT	C2	5	-29481.09	26868.10	-0.237	60718.60	59420.18	0.824	0.107
MLT	C3	5	-47666.50	36220.82	-0.280	97218.42	95791.01	0.831	0.103

Highest conditional probabilities to each class MLT

MLT	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.27	0.17	0.27	0.12	0.16	0.25	0.17	0.32	0.13	0.13
T_ETHNEQ1	0.72	0.82	0.77	0.60	0.40	0.85	0.83	0.48	0.65	0.45
T_ETHNEQ2	0.65	0.69	0.71	0.49	0.35	0.84	0.81	0.52	0.53	0.41
T_ETHNEQ3	0.78	0.77	0.68	0.59	0.31	0.89	0.78	0.51	0.56	0.32
T_ETHNEQ4	0.46	0.50	0.53	0.44	0.37	0.52	0.63	0.59	0.51	0.28
T_GNDREQ1	0.94	0.77	0.88	0.68	0.51	0.98	0.62	0.93	0.78	0.60
T_GNDREQ2	0.93	0.65	0.90	0.68	0.38	0.97	0.53	0.92	0.68	0.46
T_GNDREQ3	0.96	0.63	0.85	0.41	0.44	0.97	0.52	0.91	0.38	0.47
T_GNDREQ4	0.84	0.56	0.74	0.37	0.41	0.92	0.54	0.85	0.40	0.39
T_GNDREQ5	0.98	0.64	0.93	0.69	0.44	0.97	0.54	0.94	0.61	0.47
T_GNDREQ6	0.73	0.52	0.61	0.35	0.30	0.88	0.54	0.77	0.36	0.29
T_IMMIEQ1	0.58	0.70	0.68	0.59	0.37	0.52	0.69	0.71	0.50	0.26
T_IMMIEQ2	0.89	0.78	0.64	0.60	0.28	0.93	0.77	0.69	0.59	0.37
T_IMMIEQ3	0.58	0.61	0.51	0.45	0.43	0.57	0.60	0.53	0.43	0.36
T_IMMIEQ4	0.50	0.64	0.65	0.46	0.40	0.57	0.66	0.62	0.47	0.39
T_IMMIEQ5	0.80	0.66	0.64	0.60	0.31	0.88	0.70	0.67	0.61	0.31

NLD

Model fit NLD

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
NLD	C2	5	-24493.11	20795.59	-0.358	50722.66	49444.21	0.877	0.072
NLD	C3	5	-34727.98	27246.50	-0.325	71274.59	69913.95	0.854	0.092

Highest conditional probabilities to each class NLD

NLD	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.26	0.25	0.29	0.10	0.10	0.24	0.19	0.25	0.20	0.12
T_ETHNEQ1	0.95	0.86	0.90	0.62	0.32	0.90	0.81	0.85	0.94	0.38
T_ETHNEQ2	0.97	0.83	0.89	0.47	0.43	0.89	0.77	0.85	0.93	0.41
T_ETHNEQ3	0.80	0.76	0.75	0.51	0.37	0.77	0.73	0.73	0.68	0.36
T_ETHNEQ4	0.46	0.53	0.54	0.46	0.43	0.44	0.54	0.51	0.45	0.27
T_GNDREQ1	0.97	0.84	0.80	0.51	0.41	0.97	0.80	0.83	0.95	0.49
T_GNDREQ2	0.98	0.75	0.84	0.48	0.40	0.97	0.75	0.87	0.94	0.42
T_GNDREQ3	0.93	0.73	0.89	0.45	0.49	0.89	0.72	0.84	0.89	0.35
T_GNDREQ4	0.88	0.59	0.77	0.39	0.41	0.81	0.59	0.72	0.81	0.27
T_GNDREQ5	0.96	0.78	0.87	0.49	0.37	0.92	0.73	0.79	0.93	0.41
T_GNDREQ6	0.83	0.62	0.63	0.40	0.40	0.73	0.59	0.58	0.71	0.31
T_IMMIEQ1	0.39	0.48	0.44	0.38	0.61	0.38	0.51	0.48	0.50	0.37
T_IMMIEQ2	0.83	0.85	0.69	0.54	0.30	0.91	0.82	0.78	0.66	0.44
T_IMMIEQ3	0.58	0.72	0.67	0.46	0.43	0.72	0.70	0.73	0.79	0.32
T_IMMIEQ4	0.43	0.53	0.50	0.45	0.55	0.50	0.64	0.59	0.66	0.30
T_IMMIEQ5	0.74	0.79	0.68	0.45	0.42	0.94	0.75	0.71	0.71	0.29

7.2 Non-European countries

7.2.1 NEU - Conditional probabilities by country an cycle

CHL

Model fit CHL

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
CHL	C1	5	-72525.10	35192.84	-0.241	147030.15	145508.19	0.769	0.145
CHL	C2	5	-60067.77	41097.15	-0.340	122094.61	120593.54	0.812	0.111
CHL	C3	5	-32310.77	12938.21	-0.611	65935.67	64929.55	0.873	0.068

Highest conditional probabilities to each class CHL

CHL	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.23	0.23	0.25	0.18	0.11	0.39	0.12	0.21	0.20	0.07	0.39	0.12	0.21	0.20	0.07
T_ETHNEQ1	0.89	0.86	0.53	0.57	0.37	0.97	0.83	0.60	0.77	0.41	0.99	0.84	0.79	0.94	0.31
T_ETHNEQ2	0.88	0.86	0.59	0.51	0.39	0.97	0.87	0.55	0.69	0.38	0.99	0.84	0.83	0.90	0.35
T_ETHNEQ3	0.78	0.80	0.56	0.51	0.33	0.94	0.80	0.63	0.70	0.35	0.96	0.82	0.70	0.89	0.41
T_ETHNEQ4	0.42	0.54	0.59	0.56	0.33	0.61	0.70	0.61	0.48	0.29	0.71	0.76	0.74	0.64	0.41
T_GNDREQ1	0.90	0.79	0.70	0.52	0.29	0.98	0.73	0.92	0.66	0.55	0.98	0.89	0.87	0.83	0.45
T_GNDREQ2	0.98	0.67	0.90	0.63	0.38	0.98	0.70	0.91	0.65	0.47	0.97	0.85	0.87	0.79	0.33
T_GNDREQ3	0.54	0.51	0.44	0.38	0.30	0.87	0.70	0.73	0.52	0.38	0.92	0.59	0.54	0.48	0.38
T_GNDREQ4	0.69	0.59	0.56	0.37	0.27	0.77	0.55	0.59	0.41	0.39	0.90	0.49	0.44	0.44	0.43
T_GNDREQ5	0.93	0.78	0.78	0.60	0.38	0.97	0.58	0.93	0.70	0.53	0.97	0.77	0.80	0.75	0.29
T_GNDREQ6	0.63	0.48	0.51	0.38	0.34	0.72	0.52	0.52	0.38	0.30	0.86	0.49	0.44	0.45	0.35
T_IMMIEQ1	0.65	0.85	0.78	0.57	0.39	0.59	0.81	0.69	0.52	0.38
T_IMMIEQ2	0.94	0.86	0.54	0.74	0.35	0.97	0.85	0.58	0.76	0.35
T_IMMIEQ3	0.66	0.66	0.59	0.47	0.30	0.66	0.70	0.55	0.50	0.29
T_IMMIEQ4	0.72	0.80	0.71	0.48	0.37	0.72	0.81	0.66	0.51	0.28
T_IMMIEQ5	0.80	0.79	0.65	0.57	0.29	0.91	0.79	0.60	0.61	0.27

COL

Model fit COL

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
COL	C1	5	-55972.09	26773.48	-0.342	113891.2	112402.18	0.790	0.130
COL	C2	5	-69907.15	43198.74	-0.360	141814.1	140272.30	0.790	0.132
COL	C3	5	-40450.87	12275.23	-0.548	82231.1	81209.75	0.798	0.118

Highest conditional probabilities to each class COL

COL	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.27	0.20	0.24	0.20	0.09	0.26	0.15	0.26	0.18	0.15	0.26	0.15	0.26	0.18	0.15
T_ETHNEQ1	0.93	0.87	0.54	0.78	0.46	0.98	0.89	0.56	0.95	0.51	0.99	0.81	0.65	0.94	0.75
T_ETHNEQ2	0.94	0.92	0.53	0.78	0.40	0.95	0.91	0.55	0.89	0.51	0.97	0.82	0.79	0.86	0.61
T_ETHNEQ3	0.93	0.84	0.58	0.75	0.46	0.91	0.83	0.51	0.83	0.41	0.87	0.77	0.66	0.79	0.63
T_ETHNEQ4	0.73	0.81	0.61	0.52	0.31	0.54	0.65	0.65	0.45	0.40	0.45	0.62	0.59	0.51	0.40
T_GNDREQ1	0.81	0.85	0.66	0.71	0.32	0.98	0.82	0.79	0.88	0.52	0.98	0.70	0.79	0.88	0.74
T_GNDREQ2	0.93	0.83	0.50	0.90	0.39	0.94	0.76	0.75	0.85	0.43	0.95	0.66	0.74	0.80	0.55
T_GNDREQ3	0.77	0.71	0.58	0.71	0.35	0.93	0.86	0.51	0.66	0.45	0.92	0.77	0.70	0.75	0.33
T_GNDREQ4	0.67	0.64	0.53	0.57	0.34	0.87	0.67	0.48	0.59	0.36	0.87	0.64	0.63	0.76	0.53
T_GNDREQ5	0.94	0.83	0.55	0.83	0.42	0.94	0.80	0.79	0.84	0.44	0.95	0.68	0.77	0.77	0.59
T_GNDREQ6	0.54	0.70	0.59	0.57	0.40	0.83	0.61	0.48	0.55	0.36	0.86	0.67	0.58	0.75	0.44
T_IMMIEQ1	0.75	0.91	0.69	0.74	0.46	0.62	0.87	0.70	0.75	0.45
T_IMMIEQ2	0.97	0.93	0.57	0.58	0.42	0.94	0.87	0.56	0.94	0.44
T_IMMIEQ3	0.78	0.86	0.59	0.74	0.41	0.70	0.78	0.65	0.69	0.35
T_IMMIEQ4	0.84	0.90	0.51	0.72	0.42	0.72	0.81	0.67	0.75	0.42
T_IMMIEQ5	0.89	0.87	0.55	0.66	0.37	0.88	0.83	0.57	0.86	0.40

HKG

Model fit HKG

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
HKG	C1	5	-53015.15	29253.63	-0.427	107980.60	106488.30	0.802	0.127
HKG	C2	5	-29999.76	22055.66	-0.457	61825.38	60457.52	0.864	0.084
HKG	C3	5	-17022.88	7868.72	-0.650	35259.81	34353.76	0.903	0.054

Highest conditional probabilities to each class HKG

HKG	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.17	0.31	0.18	0.13	0.20	0.30	0.23	0.21	0.17	0.10	0.30	0.23	0.21	0.17	0.10
T_ETHNEQ1	0.92	0.95	0.49	0.71	0.44	0.97	0.95	0.86	0.95	0.40	0.98	0.87	0.84	0.97	0.65
T_ETHNEQ2	0.88	0.93	0.53	0.66	0.41	0.96	0.93	0.94	0.95	0.41	0.98	0.86	0.85	0.97	0.62
T_ETHNEQ3	0.85	0.87	0.50	0.50	0.39	0.97	0.91	0.71	0.87	0.33	0.97	0.85	0.74	0.94	0.51
T_ETHNEQ4	0.58	0.81	0.64	0.60	0.34	0.72	0.80	0.72	0.48	0.38	0.76	0.79	0.77	0.73	0.76
T_GNDREQ1	0.91	0.96	0.60	0.66	0.41	0.97	0.87	0.90	0.91	0.48	0.97	0.90	0.84	0.86	0.48
T_GNDREQ2	0.97	0.91	0.74	0.53	0.38	0.95	0.86	0.90	0.89	0.47	0.97	0.90	0.85	0.85	0.50
T_GNDREQ3	0.88	0.68	0.85	0.52	0.30	0.89	0.72	0.84	0.77	0.42	0.99	0.65	0.67	0.47	0.69
T_GNDREQ4	0.61	0.69	0.52	0.49	0.40	0.70	0.72	0.58	0.52	0.32	0.89	0.54	0.44	0.59	0.74
T_GNDREQ5	0.90	0.89	0.66	0.51	0.37	0.92	0.84	0.79	0.77	0.44	0.94	0.84	0.71	0.72	0.45
T_GNDREQ6	0.67	0.69	0.46	0.49	0.39	0.64	0.64	0.50	0.42	0.28	0.85	0.54	0.43	0.58	0.60
T_IMMIEQ1	0.73	0.90	0.75	0.62	0.41	0.72	0.85	0.65	0.69	0.44
T_IMMIEQ2	0.94	0.95	0.69	0.80	0.41	0.98	0.91	0.57	0.54	0.43
T_IMMIEQ3	0.85	0.94	0.81	0.70	0.45	0.85	0.88	0.64	0.69	0.36
T_IMMIEQ4	0.89	0.93	0.78	0.84	0.43	0.82	0.89	0.63	0.66	0.43
T_IMMIEQ5	0.94	0.94	0.76	0.83	0.40	0.96	0.92	0.57	0.53	0.40

RUS

Model fit RUS

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
RUS	C1	5	-27032.90	18919.09	-0.256	55820.71	54523.79	0.818	0.103
RUS	C2	5	-59478.87	48853.96	-0.267	120873.38	119415.74	0.815	0.113
RUS	C3	5	-64923.09	23204.31	-0.478	131215.88	130154.18	0.805	0.118

Highest conditional probabilities to each class RUS

RUS	1999					2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.22	0.14	0.39	0.16	0.09	0.20	0.29	0.20	0.24	0.08	0.20	0.29	0.20	0.24	0.08
T_ETHNEQ1	0.95	0.89	0.53	0.63	0.31	0.94	0.85	0.73	0.56	0.34	0.97	0.85	0.77	0.95	0.58
T_ETHNEQ2	0.94	0.86	0.60	0.57	0.28	0.89	0.83	0.77	0.50	0.35	0.94	0.87	0.84	0.93	0.48
T_ETHNEQ3	0.90	0.81	0.49	0.67	0.30	0.84	0.77	0.64	0.56	0.33	0.87	0.77	0.64	0.83	0.49
T_ETHNEQ4	0.79	0.59	0.53	0.52	0.45	0.55	0.68	0.74	0.63	0.35	0.71	0.77	0.70	0.59	0.38
T_GNDREQ1	0.96	0.73	0.58	0.66	0.38	0.87	0.80	0.72	0.48	0.44	0.94	0.79	0.76	0.66	0.45
T_GNDREQ2	0.81	0.76	0.59	0.50	0.36	0.87	0.69	0.74	0.40	0.40	0.90	0.67	0.67	0.60	0.39
T_GNDREQ3	0.87	0.71	0.47	0.56	0.36	0.53	0.75	0.56	0.59	0.29	0.76	0.71	0.63	0.77	0.43
T_GNDREQ4	0.55	0.29	0.44	0.60	0.29	0.42	0.50	0.58	0.36	0.38	0.73	0.54	0.56	0.63	0.61
T_GNDREQ5	0.83	0.79	0.58	0.61	0.36	0.75	0.64	0.54	0.42	0.42	0.80	0.66	0.57	0.59	0.48
T_GNDREQ6	0.67	0.38	0.49	0.63	0.31	0.40	0.50	0.56	0.43	0.36	0.65	0.47	0.53	0.55	0.67
T_IMMIEQ1	0.96	0.64	0.78	0.73	0.47	0.56	0.77	0.63	0.53	0.32
T_IMMIEQ2	0.98	0.92	0.70	0.81	0.42	0.93	0.86	0.62	0.53	0.39
T_IMMIEQ3	0.88	0.62	0.70	0.54	0.30	0.58	0.67	0.61	0.46	0.37
T_IMMIEQ4	0.92	0.69	0.71	0.57	0.42	0.58	0.73	0.64	0.56	0.37
T_IMMIEQ5	0.86	0.74	0.70	0.55	0.30	0.83	0.80	0.63	0.48	0.33

DOM

Model fit DOM

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
DOM	C2	5	-53832.93	38995.17	-0.224	109596.66	108123.86	0.698	0.198
DOM	C3	5	-30783.72	11554.30	-0.384	62842.28	61875.44	0.696	0.187

Highest conditional probabilities to each class DOM

DOM	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.21	0.16	0.16	0.28	0.19	0.14	0.09	0.21	0.30	0.26
T_ETHNEQ1	0.99	0.80	0.75	0.82	0.57	0.95	0.87	0.78	0.70	1.00
T_ETHNEQ2	0.97	0.80	0.58	0.59	0.52	0.91	0.90	0.63	0.49	0.97
T_ETHNEQ3	0.95	0.74	0.62	0.65	0.35	0.83	0.84	0.64	0.48	0.95
T_ETHNEQ4	0.61	0.58	0.57	0.49	0.31	0.39	0.64	0.64	0.42	0.70
T_GNDREQ1	0.94	0.75	0.91	0.70	0.52	0.96	0.85	0.71	0.58	0.95
T_GNDREQ2	0.94	0.70	0.81	0.57	0.49	0.94	0.73	0.69	0.47	0.93
T_GNDREQ3	0.45	0.67	0.62	0.39	0.38	0.85	0.65	0.75	0.36	0.51
T_GNDREQ4	0.46	0.48	0.48	0.44	0.30	0.83	0.52	0.62	0.42	0.62
T_GNDREQ5	0.90	0.73	0.87	0.54	0.32	0.93	0.79	0.75	0.45	0.88
T_GNDREQ6	0.47	0.54	0.38	0.48	0.38	0.76	0.54	0.63	0.41	0.58
T_IMMIEQ1	0.89	0.81	0.52	0.64	0.51
T_IMMIEQ2	0.97	0.78	0.75	0.62	0.50
T_IMMIEQ3	0.78	0.68	0.51	0.42	0.38
T_IMMIEQ4	0.82	0.70	0.50	0.45	0.30
T_IMMIEQ5	0.86	0.75	0.45	0.47	0.31

KOR

Model fit KOR

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
KOR	C2	5	-64724.76	46621.763	-0.372	131411.30	129907.51	0.86	0.085
KOR	C3	5	-16702.06	6927.439	-0.628	34615.12	33712.12	0.91	0.045

Highest conditional probabilities to each class KOR

KOR	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.25	0.22	0.29	0.17	0.06	0.47	0.15	0.21	0.14	0.02
T_ETHNEQ1	0.89	0.85	0.88	0.94	0.36	0.99	0.96	0.87	0.89	0.51
T_ETHNEQ2	0.83	0.80	0.86	0.89	0.41	0.98	0.96	0.89	0.89	0.54
T_ETHNEQ3	0.88	0.83	0.80	0.83	0.36	0.97	0.93	0.76	0.85	0.34
T_ETHNEQ4	0.58	0.65	0.63	0.43	0.37	0.71	0.86	0.76	0.66	0.60
T_GNDREQ1	0.93	0.84	0.69	0.79	0.36	0.87	0.88	0.49	0.73	0.38
T_GNDREQ2	0.93	0.80	0.75	0.82	0.39	0.89	0.86	0.56	0.73	0.35
T_GNDREQ3	0.95	0.65	0.93	0.88	0.56	0.99	0.56	0.93	0.43	0.58
T_GNDREQ4	0.76	0.58	0.65	0.59	0.33	0.90	0.56	0.74	0.47	0.51
T_GNDREQ5	0.65	0.54	0.51	0.56	0.37	0.81	0.79	0.48	0.69	0.30
T_GNDREQ6	0.78	0.67	0.60	0.58	0.37	0.93	0.59	0.73	0.55	0.45
T_IMMIEQ1	0.43	0.69	0.68	0.67	0.31
T_IMMIEQ2	0.91	0.84	0.74	0.53	0.33
T_IMMIEQ3	0.83	0.75	0.66	0.58	0.31
T_IMMIEQ4	0.74	0.77	0.74	0.74	0.28
T_IMMIEQ5	0.93	0.81	0.76	0.68	0.32

MEX

Model fit MEX

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
MEX	C2	5	-79402.90	53455.36	-0.327	160818.97	159263.79	0.812	0.111
MEX	C3	5	-41604.66	13928.43	-0.496	84536.38	83517.33	0.781	0.118

Highest conditional probabilities to each class MEX

MEX	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.24	0.10	0.22	0.31	0.12	0.41	0.10	0.19	0.24	0.06
T_ETHNEQ1	0.96	0.92	0.91	0.53	0.43	0.99	0.85	0.56	0.83	0.38
T_ETHNEQ2	0.93	0.89	0.84	0.57	0.42	0.98	0.77	0.63	0.74	0.36
T_ETHNEQ3	0.90	0.85	0.82	0.49	0.34	0.93	0.72	0.58	0.75	0.31
T_ETHNEQ4	0.50	0.67	0.55	0.61	0.30	0.52	0.71	0.68	0.62	0.31
T_GNDREQ1	0.99	0.86	0.95	0.81	0.50	0.99	0.84	0.86	0.90	0.49
T_GNDREQ2	0.98	0.82	0.90	0.77	0.37	0.97	0.76	0.82	0.85	0.36
T_GNDREQ3	0.35	0.55	0.41	0.51	0.31	0.36	0.72	0.55	0.51	0.33
T_GNDREQ4	0.81	0.56	0.49	0.43	0.26	0.59	0.60	0.52	0.54	0.29
T_GNDREQ5	0.97	0.82	0.85	0.71	0.30	0.97	0.74	0.83	0.77	0.29
T_GNDREQ6	0.90	0.64	0.54	0.45	0.29	0.69	0.51	0.56	0.41	0.28
T_IMMIEQ1	0.75	0.88	0.84	0.62	0.42
T_IMMIEQ2	0.94	0.87	0.89	0.49	0.42
T_IMMIEQ3	0.70	0.80	0.72	0.58	0.33
T_IMMIEQ4	0.78	0.86	0.82	0.63	0.30
T_IMMIEQ5	0.86	0.80	0.83	0.56	0.30

TWN

Model fit TWN

L1	L2	NClass	loglik	Gsq	chg_Gsq	BIC	AIC	R2_entropy	ClassErr
TWN	C2	5	-45928.75	26158.428	-0.545	93815.45	92315.49	0.885	0.060
TWN	C3	5	-19335.98	6102.702	-0.713	39947.42	38979.96	0.883	0.048

Highest conditional probabilities to each class TWN

TWN	2009					2016
	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality	Engaged	Conventional	Engaged with Gender equality	Engaged but not with political equality	Against immigrant and ethnics political equality
Sizes	0.46	0.16	0.23	0.12	0.03	0.60	0.09	0.11	0.17	0.03
T_ETHNEQ1	0.98	0.84	0.78	0.87	0.48	0.98	0.91	0.83	0.98	0.68
T_ETHNEQ2	0.96	0.84	0.75	0.85	0.42	0.97	0.93	0.87	0.96	0.71
T_ETHNEQ3	0.97	0.82	0.74	0.84	0.33	0.97	0.93	0.78	0.89	0.77
T_ETHNEQ4	0.63	0.74	0.47	0.54	0.27	0.60	0.83	0.71	0.55	0.64
T_GNDREQ1	0.98	0.88	0.89	0.80	0.42	0.99	0.93	0.70	0.78	0.66
T_GNDREQ2	0.98	0.86	0.91	0.81	0.39	0.99	0.91	0.71	0.76	0.70
T_GNDREQ3	0.99	0.74	0.85	0.46	0.53	0.98	0.76	0.77	0.54	0.37
T_GNDREQ4	0.95	0.63	0.71	0.56	0.41	0.94	0.70	0.64	0.66	0.72
T_GNDREQ5	0.97	0.79	0.86	0.73	0.40	0.97	0.88	0.66	0.72	0.67
T_GNDREQ6	0.92	0.65	0.65	0.60	0.37	0.93	0.71	0.62	0.65	0.63
T_IMMIEQ1	0.69	0.87	0.82	0.67	0.29
T_IMMIEQ2	0.98	0.91	0.68	0.86	0.30
T_IMMIEQ3	0.82	0.88	0.79	0.71	0.35
T_IMMIEQ4	0.70	0.85	0.82	0.68	0.32
T_IMMIEQ5	0.95	0.90	0.76	0.85	0.32