MIFT Study 1 Analyses

Descriptive Statistics

stable:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	172	0.07703	0.5416	0.05	0.06866
White	2	172	3.16	0.5696	3.125	3.156
Multiracial	3	172	3.083	0.5688	3.075	3.082
Black	4	172	3.147	0.6911	3.213	3.182
trust_survey	5	177	5.003	0.8495	5.1	5.017
trust_therm	6	177	72.42	20.05	75	73.34
atma	7	177	3.602	0.5185	3.565	3.582
feel_therm	8	177	75.59	19.2	77	76.53
authen	9	177	5.573	0.9506	5.75	5.617
race_ess	10	177	3.819	1.245	4	3.891
pol_or	11	177	3.073	1.742	3	2.93

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.3336	-1.625	2.075	3.7	0.3512
White	0.4448	1.1	5	3.9	0.002589
Multiracial	0.5004	1.6	5	3.4	0.09065
Black	0.5374	1.025	5	3.975	-0.4093
trust_survey	0.8896	2.1	7	4.9	-0.3613
trust_therm	23.72	0	100	100	-0.4798
atma	0.5157	1.913	5	3.087	0.2713
feel_therm	22.24	0	100	100	-0.5477
authen	1.112	2.25	7	4.75	-0.4685
race_ess	0.9266	1	6.75	5.75	-0.5099
pol_or	1.483	1	7	6	0.4717

	kurtosis	se
whitemulti_trust_dif	2.504	0.0413
White	1.205	0.04343
Multiracial	0.6047	0.04337
Black	0.8893	0.0527
trust_survey	0.01425	0.06385
trust_therm	-0.308	1.507
atma	0.2957	0.03897
feel_therm	-0.0686	1.443
authen	0.004316	0.07145
race_ess	-0.1948	0.09361
pol_or	-0.7958	0.1309

fluid:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	179	0.1111	0.4736	0.05	0.09078
White	2	179	3.065	0.5146	3.05	3.077
Multiracial	3	179	2.954	0.4961	3	2.978
Black	4	179	3.051	0.5911	3.075	3.072
trust_survey	5	181	4.99	0.8156	5	4.994
trust_therm	6	181	71.4	18.12	75	71.08
atma	7	181	3.5	0.4915	3.478	3.492
feel_therm	8	181	74.27	18.52	76	74.47
authen	9	181	5.421	0.9452	5.5	5.45
race_ess	10	181	3.791	1.222	4	3.844
pol_or	11	181	2.801	1.614	2	2.641

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.3336	-1.85	2.05	3.9	0.4136
White	0.4448	1.1	4.35	3.25	-0.5168
Multiracial	0.4077	1	4	3	-0.6924
Black	0.4818	1.025	4.7	3.675	-0.4769
trust_survey	0.8896	1.5	7	5.5	-0.4737
trust_therm	22.24	23	100	77	-0.09943
atma	0.5157	2.174	4.783	2.609	0.08524
feel_therm	22.24	26	100	74	-0.1666
authen	1.112	2.5	7	4.5	-0.4124
race_ess	1.112	1	6.875	5.875	-0.3603
pol_or	1.483	1	7	6	0.5273

	kurtosis	se
whitemulti_trust_dif	3.058	0.0354
White	1.625	0.03847
Multiracial	1.561	0.03708
Black	0.6772	0.04418
trust_survey	0.8097	0.06063
trust_therm	-0.9839	1.347
atma	-0.1394	0.03654
feel_therm	-1.183	1.377
authen	-0.08457	0.07026
race_ess	-0.3309	0.09086
pol_or	-0.7234	0.12

GEE Model for Speeded Trust Task

From preregistration:

For the speeded trust task, we will fit a GEE regression model with trustworthiness ratings for each target face as the outcome and target race (within subjects—will be dummy coded with White as the comparison group), condition (between subjects), and their interactions as predictors.

Findings:

The comparison group is White faces in the stable condition. The intercept is 3.1 on a scale from 1 to 5 (3 midpoint) with a higher score indicating greater trust.
Main effects
- There is a main effect of condition such that participants in the fluid condition report slightly less trust overall than participants in the stable condition.
- There is also a main effect of the Multiracial dummy code such that participants in both conditions report slightly less trust for Multiracial faces relative to White faces.
- There is also a main effect of the Black dummy code such that participants in both conditions report slightly less trust for Black faces relative to White faces.
All of these main effects are qualified by significant interactions (the interpretation of the interactions changed a bit).
- There is an interaction between condition and the Multiracial dummy code such that, in the fluid condition, participants show significantly lower trust for Multiracial people than White people but there is no significant difference in the stable condition.
- There is an interaction between condition and the Black dummy code such that people in the fluid condition show less trust for faces that are not Black than participants in the stable condition. There is no significant difference between conditions when faces are Black. This one doesn’t really make much sense to me.

##           (Intercept)            condition1            race_multi 
##           3.114003831          -0.047059387          -0.093357280 
##            race_black condition1:race_multi condition1:race_black 
##          -0.013201628          -0.016920498          -0.000270594

Estimates for the speeded trust model
term	estimate	std.error	statistic	p.value	NA
(Intercept)	3.1140	0.0093	335.5444	0.0287	108.5113
condition1	-0.0471	0.0093	-5.0708	0.0287	-1.6398
race_multi	-0.0934	0.0131	-7.1132	0.0269	-3.4712
race_black	-0.0132	0.0131	-1.0059	0.0423	-0.3119
condition1:race_multi	-0.0169	0.0131	-1.2892	0.0269	-0.6291
condition1:race_black	-0.0003	0.0131	-0.0206	0.0423	-0.0064

Emmeans for condition * race_multi
condition	race_multi	emmean	SE	df	asymp.LCL	asymp.UCL
stable	0	3.1546	0.0342	Inf	3.0876	3.2216
fluid	0	3.0602	0.0316	Inf	2.9982	3.1222
stable	1	3.0782	0.0582	Inf	2.9641	3.1922
fluid	1	2.9499	0.0493	Inf	2.8534	3.0465

Post hoc tests for race_multi * condition
contrast	condition	estimate	SE	df	z.ratio	p.value
race_multi1 - race_multi0	stable	-0.0764	0.0407	Inf	-1.8760	0.0607
race_multi1 - race_multi0	fluid	-0.1103	0.0351	Inf	-3.1403	0.0017

Emmeans for condition * race_black
condition	race_black	emmean	SE	df	asymp.LCL	asymp.UCL
stable	0	3.1228	0.0376	Inf	3.0491	3.1966
fluid	0	3.0118	0.0332	Inf	2.9467	3.0769
stable	1	3.1099	0.0671	Inf	2.9784	3.2414
fluid	1	2.9983	0.0556	Inf	2.8893	3.1073

Post hoc tests for condition * condition
contrast	race_black	estimate	SE	df	z.ratio	p.value
fluid - stable	0	-0.1110	0.0502	Inf	-2.2120	0.0270
fluid - stable	1	-0.1116	0.0872	Inf	-1.2802	0.2005

T-tests for main dependent variables for differences between conditions

From preregistration:

For each of the five other dependent variables (listed below), we will run independent samples T-tests to determine if there is any difference between participants who read the fluidity article and participants who read the stability article.

Trust Survey

Findings:

There is not a significant difference in explicit trust on the trust survey between conditions.

Trust survey by condition (continued below)
Test statistic	df	P value	Alternative hypothesis
0.1513	354.6	0.8798	two.sided

mean in group stable	mean in group fluid
5.003	4.99

Trust Thermometer

Findings:

There is not a significant difference in explicit trust on the trust thermometer between conditions.

Trust thermometer by condition (continued below)
Test statistic	df	P value	Alternative hypothesis
0.5076	350.7	0.6121	two.sided

mean in group stable	mean in group fluid
72.42	71.4

Attitudes towards multiracial adults

Findings:

There is not a significant difference in attitudes towards multiracial adults between conditions. Though it is worth noting that there is a marginal difference in line with our hypothesis (more negative attitudes in fluid condition).

Attitudes towards multiracial adults by condition (continued below)
Test statistic	df	P value	Alternative hypothesis	mean in group stable
1.908	354	0.05716	two.sided	3.602

mean in group fluid
3.5

Feeling thermometer

Findings:

There is not a significant difference in feelings towards multiracial people on the feeling thermometer between conditions.

Feeling thermometer by condition (continued below)
Test statistic	df	P value	Alternative hypothesis
0.6658	354.8	0.506	two.sided

mean in group stable	mean in group fluid
75.59	74.27

Authenticity

Findings:

There is not a significant difference in perceived authenticity of multiracial people between conditions.

Authenticity by condition (continued below)
Test statistic	df	P value	Alternative hypothesis
1.519	355.7	0.1297	two.sided

mean in group stable	mean in group fluid
5.573	5.421

Exploratory Analyses.

From Preregistration:

“We will run an exploratory independent samples T-test to determine if there is any difference in race essentialism between participants who read the fluidity article and participants who read the stability article. If we find that there are no differences in race essentialism between conditions, we will examine whether race essentialism moderates the relationship between which article participants read and each of the six dependent variables.”

Race Essentialism

T-test

Findings:

There is not a significant difference in race essentialism between conditions Thus, we will move forward to examine whether race essentialism moderates the relationship between condition and the dependent variables.

Race essentialism by condition (continued below)
Test statistic	df	P value	Alternative hypothesis
0.2182	355.4	0.8274	two.sided

mean in group stable	mean in group fluid
3.819	3.791

Speeded trust task by condition + race essentialism as moderator

From preregistration:

“For the speeded trust task, we will first calculate a White/Multiracial trust difference score by subtracting participant’s average trust ratings for all multiracial targets from participant’s average trust ratings for all White targets, with a higher number indicating greater trust towards White targets relative to multiracial targets. We then will fit a linear regression model with the White/Multiracial trust difference score as the outcome and condition, race essentialism, and the interaction term between the two as predictors. If we find that the interactions is significant, we will conduct simple slopes analysis to probe the interaction.”

Findings:

Main Effects
- There is no main effect of condition. Confused by this as there is when analyzed with the GEE.
- There is a main effect of race essentialism such that participants who are more essentialist about race show greater trust towards White targets relative to Multiracial targets.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and trust.

Estimates for the speeded trust model
term	estimate	std.error	statistic	p.value
(Intercept)	-0.2416	0.0857	-2.8201	0.0051
condition1	0.0606	0.0857	0.7074	0.4798
race_ess	0.0885	0.0215	4.1201	0.0000
condition1:race_ess	-0.0113	0.0215	-0.5258	0.5993

Summary for the speeded trust model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0484	0.0402	0.4973	5.8884	0.0006	3	-250.859	511.717	531.021	85.8243	347	351

Other main DVs by condition + race essentialism as moderator

From preregistration:

“For each of the five other dependent variables, we will fit an individual linear regression model including condition, race essentialism, and the interaction term between the two as predictors. If we find a significant interaction between condition and race essentialism for any of the models, we will conduct simple slopes analysis for that model to probe the interaction.”

Trust survey

Findings:

Main Effects
- There is no main effect of condition.
- There is a main effect of race essentialism such that participants who are more essentialist about race show less trust towards multiracial people.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and trust.

Estimates for the trust survey model
term	estimate	std.error	statistic	p.value
(Intercept)	5.4749	0.1408	38.8855	0.0000
condition1	0.0921	0.1408	0.6541	0.5135
race_ess	-0.1259	0.0352	-3.5762	0.0004
condition1:race_ess	-0.0264	0.0352	-0.7505	0.4535

Summary for the trust survey model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0363	0.0281	0.8196	4.4455	0.0044	3	-434.762	879.524	898.927	237.815	354	358

Trust Thermometer

Findings:

Main Effects
- There is no main effect of condition.
- There is a main effect of race essentialism such that participants who are more essentialist about race show less trust towards multiracial people.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and trust.

Estimates for the trust thermometer model
term	estimate	std.error	statistic	p.value
(Intercept)	80.5490	3.2544	24.7508	0.0000
condition1	-0.2977	3.2544	-0.0915	0.9272
race_ess	-2.2705	0.8138	-2.7899	0.0056
condition1:race_ess	-0.0651	0.8138	-0.0800	0.9363

Summary for the trust thermometer model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0222	0.0139	18.9453	2.6831	0.0466	3	-1559.05	3128.09	3147.5	127060	354	358

Attitudes towards multiracial adults

Findings:

Main Effects
- There is no main effect of condition.
- There is a main effect of race essentialism such that participants who are more essentialist about race show show more negative attitudes towards multiracial people.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and attitudes towards multiracial adults.

Estimates for the attitudes towards multiracial adults model
term	estimate	std.error	statistic	p.value
(Intercept)	3.7421	0.0863	43.3493	0.0000
condition1	-0.0834	0.0863	-0.9661	0.3346
race_ess	-0.0502	0.0216	-2.3243	0.0207
condition1:race_ess	0.0083	0.0216	0.3861	0.6996

Summary for the attitudes towards multiracial adults model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0255	0.0172	0.5025	3.0826	0.0275	3	-259.633	529.267	548.669	89.4001	354	358

Feeling thermometer

Findings:

Main Effects
- There is no main effect of condition.
- There is a main effect of race essentialism such that participants who are more essentialist about race show more negative attitudes towards multiracial people.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and attitudes.

Estimates for the feeling thermometer model
term	estimate	std.error	statistic	p.value
(Intercept)	82.4914	3.2175	25.6380	0.0000
condition1	2.2008	3.2175	0.6840	0.4944
race_ess	-1.9903	0.8046	-2.4736	0.0138
condition1:race_ess	-0.7604	0.8046	-0.9450	0.3453

Summary for the feeling thermometer model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0206	0.0122	18.7308	2.4758	0.0612	3	-1554.97	3119.94	3139.34	124198	354	358

Authenticity

Findings:

Main Effects
- There is no main effect of condition.
- There is a main effect of race essentialism such that participants who are more essentialist about race perceive multiracial people as less authentic.
Interaction
- There is no significant interaction. In other words, race essentialism does not moderate the relationship between condition and authenticity.

Estimates for the authenticity model
term	estimate	std.error	statistic	p.value
(Intercept)	6.1840	0.1587	38.9668	0.0000
condition1	-0.1199	0.1587	-0.7557	0.4503
race_ess	-0.1804	0.0397	-4.5460	0.0000
condition1:race_ess	0.0108	0.0397	0.2733	0.7848

Summary for the authenticity model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0615	0.0535	0.9239	7.7295	0.0001	3	-477.615	965.23	984.633	302.142	354	358

Race & political orientation

From preregistration:

Additionally, we will conduct exploratory analyses to examine whether participants’ responses vary by participant race and political orientation..

Personally I would not read into the participant race effects too much due to the small Ns in some cells.

Participant Race
White	Black	Latine	Asian	Other
271	35	18	22	9

Speeded trust task by condition + participant race and political orientation as moderators

From preregistration:

For the speeded trust task, we will again use the White/Multiracial trust difference score as described above. We then will fit a linear regression model with the White/Multiracial trust difference score as the outcome and condition, participant race, political orientation, and the two two-way interaction terms between condition, and participant race/political orientation (i.e., condition X participant race, condition X political orientation) as predictors. If we find that any of the interactions are significant, we will conduct simple slopes analysis to probe the interaction.

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race
- There is a main effect of political orientation such that participants that are more conservative show greater trust for white faces relative to multiracial faces.
Interactions
- There are no interactions between participant race and condition
- There is no interaction between condition and political orientation.

White, Black, Latine, Asian and Other

Estimates for the speeded trust model
term	estimate	std.error	statistic	p.value
(Intercept)	-0.1724	0.0681	-2.5301	0.0119
condition1	0.1030	0.0681	1.5109	0.1318
race_factor1	-0.0685	0.0440	-1.5558	0.1207
race_factor2	0.0162	0.0421	0.3837	0.7014
race_factor3	0.0440	0.0292	1.5044	0.1334
race_factor4	-0.0295	0.0360	-0.8193	0.4132
pol_or	0.0828	0.0159	5.2209	0.0000
condition1:race_factor1	0.0248	0.0440	0.5644	0.5729
condition1:race_factor2	0.0452	0.0421	1.0744	0.2834
condition1:race_factor3	-0.0428	0.0292	-1.4658	0.1436
condition1:race_factor4	-0.0160	0.0360	-0.4445	0.6570
condition1:pol_or	-0.0235	0.0159	-1.4831	0.1390

Summary for the speeded trust model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.1076	0.0784	0.4883	3.6841	0.0001	11	-238.248	502.495	552.574	80.1231	336	348

Other main DVs by condition + participant race and political orientation as moderators

From preregistration:

For each of the five other dependent variables, we will fit an individual linear regression model including condition, participant race, political orientation, and the two-way interaction terms between condition and each demographic variable (i.e., condition X participant race, condition X political orientation) as predictors. If we find a significant effect for either of the interaction terms for any of the models, we will conduct simple slopes analysis for that model to probe the interaction.

Trust survey

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race aside from Black participants. Black participants show lower trust for multiracial people.
- There is a main effect of political orientation such that participants that are more conservative show lower trust for multiracial people.
Interactions
- There are no interactions between participant race and condition
- There is no interaction between condition and political orientation

White, Black, Latine, Asian and Other

Estimates for the trust survey model
term	estimate	std.error	statistic	p.value
(Intercept)	5.1043	0.1129	45.2268	0.0000
condition1	-0.0379	0.1129	-0.3361	0.7370
race_factor1	-0.1914	0.0732	-2.6160	0.0093
race_factor2	0.0123	0.0701	0.1752	0.8610
race_factor3	-0.0673	0.0486	-1.3837	0.1673
race_factor4	-0.0066	0.0598	-0.1106	0.9120
pol_or	-0.0950	0.0261	-3.6423	0.0003
condition1:race_factor1	-0.1017	0.0732	-1.3898	0.1655
condition1:race_factor2	0.0248	0.0701	0.3536	0.7238
condition1:race_factor3	0.0754	0.0486	1.5503	0.1220
condition1:race_factor4	0.0178	0.0598	0.2982	0.7657
condition1:pol_or	0.0145	0.0261	0.5573	0.5777

Summary for the trust survey model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0798	0.0503	0.8127	2.705	0.0023	11	-423.989	873.978	924.316	226.538	343	355

Trust Thermometer

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race aside from Asian participants. Asian participants show lower trust for multiracial people.
- There is a main effect of political orientation such that participants that are more conservative show less trust for multiracial people.
Interactions
- There are no interactions between participant race and condition
- There is no interaction between condition and political orientation

White, Black, Latine, Asian and Other

Estimates for the trust thermometer model
term	estimate	std.error	statistic	p.value
(Intercept)	74.0191	2.6147	28.3085	0.0000
condition1	-1.4210	2.6147	-0.5435	0.5872
race_factor1	-1.3787	1.6948	-0.8135	0.4165
race_factor2	0.0106	1.6232	0.0065	0.9948
race_factor3	-2.4172	1.1268	-2.1453	0.0326
race_factor4	-0.4964	1.3857	-0.3582	0.7204
pol_or	-1.8237	0.6042	-3.0181	0.0027
condition1:race_factor1	-1.7756	1.6948	-1.0477	0.2955
condition1:race_factor2	-0.4378	1.6232	-0.2697	0.7876
condition1:race_factor3	1.6171	1.1268	1.4352	0.1521
condition1:race_factor4	1.1699	1.3857	0.8443	0.3991
condition1:pol_or	0.4852	0.6042	0.8030	0.4225

Summary for the trust thermometer model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0585	0.0283	18.8281	1.9362	0.0341	11	-1539.67	3105.34	3155.67	121592	343	355

Attitudes towards multiracial adults

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race aside from Black participants. Black participants show more negative attitudes towards multiracial people than White participants.
- There is no main effect of political orientation.
Interactions
- There are no interactions between participant race and condition
- There is no interaction between condition and political orientation

White, Black, Latine, Asian and Other

Estimates for the attitudes towards multiracial adults model
term	estimate	std.error	statistic	p.value
(Intercept)	3.4702	0.0697	49.8159	0.0000
condition1	-0.0400	0.0697	-0.5742	0.5662
race_factor1	-0.1200	0.0452	-2.6578	0.0082
race_factor2	-0.0312	0.0432	-0.7208	0.4715
race_factor3	0.0095	0.0300	0.3167	0.7517
race_factor4	-0.0341	0.0369	-0.9234	0.3565
pol_or	-0.0166	0.0161	-1.0334	0.3021
condition1:race_factor1	-0.0049	0.0452	-0.1087	0.9135
condition1:race_factor2	-0.0495	0.0432	-1.1440	0.2534
condition1:race_factor3	0.0432	0.0300	1.4381	0.1513
condition1:race_factor4	0.0470	0.0369	1.2744	0.2034
condition1:pol_or	0.0076	0.0161	0.4734	0.6362

Summary for the attitudes towards multiracial adults model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.0538	0.0235	0.5016	1.7741	0.0571	11	-252.696	531.391	581.729	86.3042	343	355

Feeling thermometer

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race aside from Asian participants. Asian participants show more negative attitudes towards multiracial people than White participants.
- There is a main effect of political orientation such that participants that are more conservative show more negative feelings towards multiracial people.
Interactions
- There are no interactions between participant race and condition.
- There is no interaction between condition and political orientation

White, Black, Latine, Asian and Other

Estimates for the feeling thermometer model
term	estimate	std.error	statistic	p.value
(Intercept)	77.7497	2.5667	30.2916	0.0000
condition1	-1.5771	2.5667	-0.6144	0.5393
race_factor1	-2.0650	1.6636	-1.2413	0.2154
race_factor2	0.5355	1.5934	0.3361	0.7370
race_factor3	-2.6335	1.1061	-2.3809	0.0178
race_factor4	-0.6549	1.3602	-0.4814	0.6305
pol_or	-2.1199	0.5931	-3.5740	0.0004
condition1:race_factor1	-1.0773	1.6636	-0.6475	0.5177
condition1:race_factor2	-0.5358	1.5934	-0.3363	0.7369
condition1:race_factor3	1.1686	1.1061	1.0565	0.2915
condition1:race_factor4	0.9056	1.3602	0.6658	0.5060
condition1:pol_or	0.4697	0.5931	0.7920	0.4289

Summary for the feeling thermometer model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.071	0.0412	18.4823	2.3829	0.0075	11	-1533.09	3092.18	3142.51	117167	343	355

Authenticity

Findings:

Main Effects
- There is no main effect of condition
- There are no main effects of participant race aside from Black participants. Black participants perceive multiracial people as less authentic than White participants.
- There is a main effect of political orientation such that participants that are more conservative perceive multiracial people as less authentic.
Interactions
- There are no interactions between participant race and condition.
- There is no interaction between condition and political orientation

White, Black, Latine, Asian and Other

Estimates for the authenticity model
term	estimate	std.error	statistic	p.value
(Intercept)	5.6123	0.1261	44.5152	0.0000
condition1	-0.1258	0.1261	-0.9979	0.3191
race_factor1	-0.3267	0.0817	-3.9975	0.0001
race_factor2	0.0343	0.0783	0.4383	0.6614
race_factor3	-0.0173	0.0543	-0.3187	0.7501
race_factor4	-0.0201	0.0668	-0.3011	0.7635
pol_or	-0.1176	0.0291	-4.0371	0.0001
condition1:race_factor1	-0.0456	0.0817	-0.5585	0.5769
condition1:race_factor2	-0.0669	0.0783	-0.8545	0.3934
condition1:race_factor3	0.0479	0.0543	0.8815	0.3786
condition1:race_factor4	0.1162	0.0668	1.7396	0.0828
condition1:pol_or	0.0308	0.0291	1.0577	0.2909

Summary for the authenticity model
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
0.1149	0.0866	0.9078	4.0495	0	11	-463.298	952.595	1002.93	282.695	343	355

Additional Exploratory Descriptives looking at main Dvs by participant race

White:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	264	0.1132	0.519	0.075	0.09298
White	2	264	3.168	0.5267	3.138	3.164
Multiracial	3	264	3.055	0.5296	3.025	3.053
Black	4	264	3.127	0.6449	3.175	3.156
trust_survey	5	271	5.071	0.8156	5.2	5.08
trust_therm	6	271	72.76	18.97	75	73.1
atma	7	271	3.595	0.516	3.565	3.582
feel_therm	8	271	76.15	18.64	80	76.98
authen	9	271	5.585	0.9213	5.75	5.624
race_ess	10	271	3.78	1.282	4	3.851
pol_or	11	271	2.989	1.714	3	2.839

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.3336	-1.85	2.075	3.925	0.4582
White	0.4262	1.1	5	3.9	-0.01588
Multiracial	0.4448	1.2	5	3.8	0.02322
Black	0.556	1.025	5	3.975	-0.4322
trust_survey	0.8896	2.1	7	4.9	-0.3306
trust_therm	22.24	0	100	100	-0.3757
atma	0.5157	1.913	5	3.087	0.1061
feel_therm	22.24	0	100	100	-0.5009
authen	0.7413	2.75	7	4.25	-0.4259
race_ess	1.112	1	6.875	5.875	-0.4329
pol_or	1.483	1	7	6	0.4614

	kurtosis	se
whitemulti_trust_dif	2.98	0.03194
White	1.279	0.03241
Multiracial	0.9763	0.03259
Black	0.6574	0.03969
trust_survey	-0.01961	0.04955
trust_therm	-0.4341	1.152
atma	0.2125	0.03134
feel_therm	-0.2696	1.132
authen	-0.224	0.05596
race_ess	-0.3173	0.07788
pol_or	-0.8882	0.1041

Black:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	35	-0.03	0.4438	0	-0.005172
White	2	35	2.888	0.6321	3	2.93
Multiracial	3	35	2.918	0.5757	2.975	2.955
Black	4	35	3.162	0.6532	3.1	3.157
trust_survey	5	35	4.691	0.9147	5	4.759
trust_therm	6	35	70.14	20.16	71	70.52
atma	7	35	3.357	0.4269	3.348	3.325
feel_therm	8	35	72.2	20.43	70	72.31
authen	9	35	4.943	1.047	5	5.009
race_ess	10	35	4.261	0.9579	4.375	4.302
pol_or	11	35	2.943	1.697	3	2.759

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.2965	-1.425	1.05	2.475	-0.6684
White	0.4448	1.1	4.4	3.3	-0.8013
Multiracial	0.3336	1	4.2	3.2	-1.01
Black	0.4077	1.025	5	3.975	-0.1933
trust_survey	0.8896	1.5	6.2	4.7	-1.182
trust_therm	28.17	30	100	70	-0.1753
atma	0.4512	2.565	4.304	1.739	0.6286
feel_therm	29.65	35	100	65	0.02912
authen	0.7413	2.25	6.75	4.5	-0.5817
race_ess	0.556	2	6	4	-0.5097
pol_or	1.483	1	7	6	0.648

	kurtosis	se
whitemulti_trust_dif	1.857	0.07502
White	1.998	0.1068
Multiracial	2.636	0.09731
Black	2.778	0.1104
trust_survey	2.311	0.1546
trust_therm	-1.124	3.407
atma	-0.244	0.07216
feel_therm	-1.505	3.453
authen	0.3079	0.177
race_ess	0.004889	0.1619
pol_or	-0.2651	0.2868

Latine:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	18	-0.009722	0.5842	-0.0125	-0.02187
White	2	18	2.861	0.5004	2.975	2.883
Multiracial	3	18	2.871	0.4184	2.9	2.866
Black	4	18	2.986	0.6347	3	2.998
trust_survey	5	18	4.994	0.7787	5.1	5.019
trust_therm	6	18	73.67	19.42	75.5	74.5
atma	7	18	3.442	0.562	3.413	3.418
feel_therm	8	18	78.06	17.84	80	78.44
authen	9	18	5.528	0.9621	5.5	5.547
race_ess	10	18	3.597	1.044	3.562	3.602
pol_or	11	18	2.333	1.455	2	2.188

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.3521	-1.275	1.45	2.725	0.1618
White	0.4262	1.825	3.55	1.725	-0.6074
Multiracial	0.4077	2.1	3.725	1.625	0.0933
Black	0.5004	1.375	4.4	3.025	-0.2561
trust_survey	0.9637	3.6	6	2.4	-0.3004
trust_therm	23.72	34	100	66	-0.3494
atma	0.4512	2.435	4.826	2.391	0.3272
feel_therm	22.24	50	100	50	-0.2701
authen	0.556	3.75	7	3.25	-0.1793
race_ess	0.834	1.5	5.625	4.125	0.06359
pol_or	1.483	1	6	5	0.8533

	kurtosis	se
whitemulti_trust_dif	0.8556	0.1377
White	-0.8959	0.1179
Multiracial	-0.8162	0.09863
Black	0.912	0.1496
trust_survey	-1.362	0.1836
trust_therm	-1.048	4.578
atma	0.1102	0.1325
feel_therm	-1.335	4.205
authen	-0.7046	0.2268
race_ess	-0.2793	0.246
pol_or	-0.1919	0.343

Asian:

Table continues below
	vars	n	mean	sd	median	trimmed
whitemulti_trust_dif	1	22	0.1909	0.4674	0.15	0.1708
White	2	22	3.09	0.5096	3.05	3.079
Multiracial	3	22	2.899	0.5839	2.925	2.938
Black	4	22	2.815	0.5883	2.912	2.878
trust_survey	5	22	4.705	0.7371	4.65	4.733
trust_therm	6	22	63.18	17.42	63	63.11
atma	7	22	3.5	0.4474	3.478	3.495
feel_therm	8	22	65.45	17.28	66	65.28
authen	9	22	5.273	0.8342	5.125	5.292
race_ess	10	22	3.483	1.165	3.688	3.493
pol_or	11	22	2.5	1.371	2	2.389

Table continues below
	mad	min	max	range	skew
whitemulti_trust_dif	0.5189	-0.6	1.275	1.875	0.3943
White	0.5189	2.025	4.15	2.125	0.1512
Multiracial	0.7598	1.675	3.65	1.975	-0.4719
Black	0.6116	1.45	3.675	2.225	-0.7905
trust_survey	0.9637	3.1	5.6	2.5	-0.2579
trust_therm	19.27	26	100	74	0.01099
atma	0.3868	2.696	4.391	1.696	0.1335
feel_therm	21.5	33	100	67	0.09723
authen	0.9266	3.75	6.5	2.75	-0.06825
race_ess	1.297	1.625	5.625	4	-0.08792
pol_or	1.483	1	5	4	0.37

	kurtosis	se
whitemulti_trust_dif	-0.5158	0.09966
White	-0.6262	0.1086
Multiracial	-0.9505	0.1245
Black	0.009586	0.1254
trust_survey	-1.201	0.1571
trust_therm	-0.4796	3.715
atma	-0.7839	0.09538
feel_therm	-1.009	3.684
authen	-1.296	0.1779
race_ess	-1.346	0.2484
pol_or	-1.274	0.2924

Other:

Table continues below
	vars	n	mean	sd
whitemulti_trust_dif	1	9	-0.00000000000000006759	0.3034
White	2	9	2.819	0.5135
Multiracial	3	9	2.819	0.6048
Black	4	9	2.886	0.6531
trust_survey	5	9	4.767	1.078
trust_therm	6	9	67	19.92
atma	7	9	3.329	0.354
feel_therm	8	9	68.67	20.2
authen	9	9	5.25	1.008
race_ess	10	9	3.917	1.077
pol_or	11	9	3.444	1.81

Table continues below
	median	trimmed	mad	min
whitemulti_trust_dif	0.05	-0.00000000000000004934	0.1483	-0.625
White	2.725	2.819	0.2965	1.95
Multiracial	3	2.819	0.556	1.6
Black	3.15	2.886	0.4448	1.85
trust_survey	4.6	4.767	0.8896	3.3
trust_therm	65	67	22.24	39
atma	3.435	3.329	0.3868	2.739
feel_therm	65	68.67	22.24	45
authen	5.5	5.25	1.112	4
race_ess	3.75	3.917	0.3706	1.75
pol_or	4	3.444	1.483	1

	max	range	skew	kurtosis	se
whitemulti_trust_dif	0.35	0.975	-0.7574	-0.542	0.1011
White	3.6	1.65	0.1395	-1.019	0.1712
Multiracial	3.5	1.9	-0.694	-0.7509	0.2016
Black	3.675	1.825	-0.568	-1.339	0.2177
trust_survey	6.4	3.1	0.3205	-1.488	0.3594
trust_therm	100	61	0.2009	-1.473	6.64
atma	3.826	1.087	-0.201	-1.439	0.118
feel_therm	100	55	0.2088	-1.796	6.733
authen	7	3	0.173	-1.375	0.3359
race_ess	5.5	3.75	-0.3997	-0.4772	0.359
pol_or	7	6	0.3042	-0.6039	0.6035