Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Matching	0.0531	1	0.0531	0.578	0.453	0.020
Residual	2.6596	29	0.0917
Condition	9.5965	2	4.7982	7.022	0.002	0.195
Residual	39.6300	58	0.6833
Feature	2897.7471	4	724.4368	140.217	< .001	0.829
Residual	599.3166	116	5.1665
Matching ✻ Condition	0.0881	2	0.0440	0.528	0.592	0.018
Residual	4.8336	58	0.0833
Matching ✻ Feature	0.2254	4	0.0563	0.243	0.913	0.008
Residual	26.9008	116	0.2319
Condition ✻ Feature	169.2337	8	21.1542	17.148	< .001	0.372
Residual	286.1952	232	1.2336
Matching ✻ Condition ✻ Feature	0.6058	8	0.0757	0.281	0.972	0.010
Residual	62.6260	232	0.2699
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Residual	78.5	29	2.71
Note. Type 3 Sums of Squares

Estimated Marginal Means

Condition ✻ Feature

Estimated Marginal Means - Condition ✻ Feature
				95% Confidence Interval
Feature	Condition	Mean	SE	Lower	Upper
eyes	Control	2.8508	0.196	2.465	3.237
	Mask	3.2453	0.196	2.859	3.631
	Window	3.0042	0.196	2.618	3.390
hair	Control	0.0242	0.196	-0.362	0.410
	Mask	0.0284	0.196	-0.358	0.414
	Window	0.0488	0.196	-0.337	0.435
mouth	Control	1.6751	0.196	1.289	2.061
	Mask	1.5184	0.196	1.132	1.904
	Window	2.5129	0.196	2.127	2.899
Nose	Control	6.2576	0.196	5.872	6.644
	Mask	4.8159	0.196	4.430	5.202
	Window	4.1469	0.196	3.761	4.533
Other	Control	0.6180	0.196	0.232	1.004
	Mask	0.6680	0.196	0.282	1.054
	Window	0.6818	0.196	0.296	1.068

[4]

Group Summary
		N		Excluded
		30		0

Descriptives

Descriptives
	match_Control_eyes	match_Control_hair	match_Control_mouth	match_Control_nose	match_Control_other	match_Mask_eyes	match_Mask_hair	match_Mask_mouth	match_Mask_nose	match_Mask_other	match_Window_eyes	match_Window_hair	match_Window_mouth	match_Window_nose	match_Window_other	mismatch_Control_eyes	mismatch_Control_hair	mismatch_Control_mouth	mismatch_Control_nose	mismatch_Control_other	mismatch_Mask_eyes	mismatch_Mask_hair	mismatch_Mask_mouth	mismatch_Mask_nose	mismatch_Mask_other	mismatch_Window_eyes	mismatch_Window_hair	mismatch_Window_mouth	mismatch_Window_nose	mismatch_Window_other
N	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30
Missing	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mean	2.84	0.0186	1.70	6.36	0.614	3.29	0.0249	1.50	4.79	0.666	3.01	0.0443	2.49	4.19	0.684	2.86	0.0298	1.65	6.16	0.622	3.20	0.0319	1.54	4.84	0.670	3.00	0.0532	2.54	4.11	0.680
Std. error mean	0.174	0.00599	0.258	0.451	0.0181	0.151	0.00599	0.185	0.443	0.0154	0.0979	0.00987	0.210	0.242	0.0157	0.140	0.00891	0.178	0.434	0.0168	0.146	0.00569	0.150	0.383	0.0125	0.116	0.0141	0.316	0.232	0.0150
Median	2.95	0.00611	1.53	5.96	0.615	3.52	0.0156	1.48	4.08	0.687	2.95	0.0237	2.51	4.16	0.689	2.97	0.0127	1.50	5.84	0.649	3.34	0.0175	1.24	4.47	0.675	3.07	0.0171	2.25	4.04	0.685

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Matching trial	0.135	1	0.135	1.343	0.256	0.044
Residual	2.919	29	0.101
Feature	1461.830	4	365.458	108.587	< .001	0.789
Residual	390.406	116	3.366
Matching trial ✻ Feature	0.502	4	0.125	0.516	0.724	0.017
Residual	28.204	116	0.243
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Residual	48.4	29	1.67
Note. Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - Feature
Comparison
Feature		Feature	Mean Difference	SE	df	t	p_holm
Eyes	-	Hair	2.827	0.335	116	8.44	< .001
	-	Mouth	1.176	0.335	116	3.51	0.002
	-	Nose	-3.407	0.335	116	-10.17	< .001
	-	Other	2.233	0.335	116	6.67	< .001
Hair	-	Mouth	-1.651	0.335	116	-4.93	< .001
	-	Nose	-6.233	0.335	116	-18.61	< .001
	-	Other	-0.594	0.335	116	-1.77	0.079
Mouth	-	Nose	-4.583	0.335	116	-13.68	< .001
	-	Other	1.057	0.335	116	3.16	0.004
Nose	-	Other	5.640	0.335	116	16.84	< .001

[4]

Estimated Marginal Means

Feature

Estimated Marginal Means - Feature
			95% Confidence Interval
Feature	Mean	SE	Lower	Upper
Eyes	2.8508	0.225	2.407	3.295
Hair	0.0242	0.225	-0.420	0.468
Mouth	1.6751	0.225	1.231	2.119
Nose	6.2576	0.225	5.814	6.702
Other	0.6180	0.225	0.174	1.062

[4]

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Matching Trials	0.00135	1	0.00135	0.0162	0.900	0.001
Residual	2.41614	29	0.08332
Feature	405.34649	4	101.33662	64.2481	< .001	0.689
Residual	182.96350	116	1.57727
Matching Trials ✻ Feature	516.33123	4	129.08281	91.2463	< .001	0.759
Residual	164.10092	116	1.41466
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Residual	37.7	29	1.30
Note. Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - Feature
Comparison
Feature		Feature	Mean Difference	SE	df	t	p_holm
Eyes	-	Hair	3.2169	0.229	116	14.029	< .001
	-	Mouth	1.7268	0.229	116	7.531	< .001
	-	Nose	0.5169	0.229	116	2.254	0.078
	-	Other	0.4898	0.229	116	2.136	0.078
Hair	-	Mouth	-1.4900	0.229	116	-6.498	< .001
	-	Nose	-2.7000	0.229	116	-11.775	< .001
	-	Other	-2.7270	0.229	116	-11.893	< .001
Mouth	-	Nose	-1.2100	0.229	116	-5.277	< .001
	-	Other	-1.2370	0.229	116	-5.395	< .001
Nose	-	Other	-0.0270	0.229	116	-0.118	0.906

[4]

Estimated Marginal Means

Feature

Estimated Marginal Means - Feature
			95% Confidence Interval
Feature	Mean	SE	Lower	Upper
Eyes	3.2453	0.159	2.930	3.560
Hair	0.0284	0.159	-0.286	0.343
Mouth	1.5184	0.159	1.204	1.833
Nose	2.7284	0.159	2.414	3.043
Other	2.7554	0.159	2.441	3.070

[4]

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Matching Trials	0.00464	1	0.00464	0.0623	0.805	0.002
Residual	2.15841	29	0.07443
Features	683.67023	4	170.91756	107.4062	< .001	0.787
Residual	184.59306	116	1.59132
Matching Trials ✻ Features	0.13203	4	0.03301	0.1546	0.961	0.005
Residual	24.77062	116	0.21354
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p	η²_p
Residual	32.1	29	1.11
Note. Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - Features
Comparison
Features		Features	Mean Difference	SE	df	t	p_holm
Eyes	-	Hair	2.955	0.230	116	12.83	< .001
	-	Mouth	0.491	0.230	116	2.13	0.035
	-	Nose	-1.143	0.230	116	-4.96	< .001
	-	Other	2.322	0.230	116	10.08	< .001
Hair	-	Mouth	-2.464	0.230	116	-10.70	< .001
	-	Nose	-4.098	0.230	116	-17.79	< .001
	-	Other	-0.633	0.230	116	-2.75	0.014
Mouth	-	Nose	-1.634	0.230	116	-7.09	< .001
	-	Other	1.831	0.230	116	7.95	< .001
Nose	-	Other	3.465	0.230	116	15.05	< .001

[4]

Estimated Marginal Means

Features

Estimated Marginal Means - Features
			95% Confidence Interval
Features	Mean	SE	Lower	Upper
Eyes	3.0042	0.158	2.692	3.316
Hair	0.0488	0.158	-0.263	0.361
Mouth	2.5129	0.158	2.201	2.825
Nose	4.1469	0.158	3.835	4.459
Other	0.6818	0.158	0.370	0.994

[4]

Descriptives

Descriptives
	match_Control_eyes	match_Control_hair	match_Control_mouth	match_Control_nose	match_Control_other	match_Mask_eyes	match_Mask_hair	match_Mask_mouth	match_Mask_nose	match_Mask_other	match_Window_eyes	match_Window_hair	match_Window_mouth	match_Window_nose	match_Window_other	mismatch_Control_eyes	mismatch_Control_hair	mismatch_Control_mouth	mismatch_Control_nose	mismatch_Control_other	mismatch_Mask_eyes	mismatch_Mask_hair	mismatch_Mask_mouth	mismatch_Mask_nose	mismatch_Mask_other	mismatch_Window_eyes	mismatch_Window_hair	mismatch_Window_mouth	mismatch_Window_nose	mismatch_Window_other
N	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30	30
Mean	2.84	0.0186	1.70	6.36	0.614	3.29	0.0249	1.50	4.79	0.666	3.01	0.0443	2.49	4.19	0.684	2.86	0.0298	1.65	6.16	0.622	3.20	0.0319	1.54	4.84	0.670	3.00	0.0532	2.54	4.11	0.680
Std. error mean	0.174	0.00599	0.258	0.451	0.0181	0.151	0.00599	0.185	0.443	0.0154	0.0979	0.00987	0.210	0.242	0.0157	0.140	0.00891	0.178	0.434	0.0168	0.146	0.00569	0.150	0.383	0.0125	0.116	0.0141	0.316	0.232	0.0150

References

[1] The jamovi project (2020). jamovi. (Version 1.2) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2019). R: A Language and environment for statistical computing. (Version 3.6) [Computer software]. Retrieved from https://cran.r-project.org/.

[3] Singmann, H. (2018). afex: Analysis of Factorial Experiments. [R package]. Retrieved from https://cran.r-project.org/package=afex.

[4] Lenth, R. (2018). emmeans: Estimated Marginal Means, aka Least-Squares Means. [R package]. Retrieved from https://cran.r-project.org/package=emmeans.