Results

Linear Regression

This is a linear regression using additive log ratios, based on the method described by Coenders & Pawlowsky-Glahn (2020).

Model Fit Measures
				Overall Model Test
Model	R	R²	Adjusted R²	F	df1	df2	p
1	0.917	0.841	0.729	7.48	34	48	< .001

Model Coefficients - OutputsGPA
			95% Confidence Interval
Predictor	Estimate	SE	Lower	Upper	t	p
Intercept	2.95304	0.2265	2.49759	3.40849	13.0365	< .001
Log2(T1)_Log2(T3)	0.04660	0.0322	-0.01819	0.11138	1.4461	0.155
Log2(T2)_Log2(T3)	-0.00385	0.0503	-0.10502	0.09733	-0.0765	0.939
Log2(T4)_Log2(T3)	-0.00857	0.0196	-0.04807	0.03094	-0.4360	0.665
Log2(T5)_Log2(T3)	-0.01535	0.0213	-0.05818	0.02748	-0.7207	0.475
Log2(T6)_Log2(T3)	-0.00446	0.0171	-0.03891	0.03000	-0.2601	0.796
Log2(T7)_Log2(T3)	0.01006	0.0178	-0.02566	0.04578	0.5662	0.574
Log2(T8)_Log2(T3)	0.03454	0.0210	-0.00772	0.07680	1.6434	0.107
Log2(T9)_Log2(T3)	-0.02884	0.0240	-0.07700	0.01932	-1.2042	0.234
Log2(T10)_Log2(T3)	0.01935	0.0220	-0.02490	0.06361	0.8793	0.384
Log2(T11)_Log2(T3)	0.01969	0.0148	-0.01008	0.04945	1.3300	0.190
Log2(T12)_Log2(T3)	-0.01815	0.0154	-0.04915	0.01284	-1.1774	0.245
Log2(T13)_Log2(T3)	-0.02422	0.0239	-0.07235	0.02390	-1.0119	0.317
Log2(T14)_Log2(T3)	0.09248	0.0557	-0.01958	0.20455	1.6594	0.104
Log2(T15)_Log2(T3)	0.02949	0.0238	-0.01841	0.07738	1.2378	0.222
Log2(T16)_Log2(T3)	-0.04957	0.0274	-0.10458	0.00544	-1.8118	0.076
Log2(T17)_Log2(T3)	-0.03125	0.0358	-0.10325	0.04075	-0.8726	0.387
Log2(T18)_Log2(T3)	-0.00380	0.0315	-0.06723	0.05962	-0.1205	0.905
Log2(T19)_Log2(T3)	-0.02409	0.0138	-0.05177	0.00358	-1.7502	0.086
Log2(T20)_Log2(T3)	0.08079	0.0353	0.00973	0.15185	2.2860	0.027
Log2(T21)_Log2(T3)	-0.00789	0.0171	-0.04227	0.02649	-0.4617	0.646
Log2(T22)_Log2(T3)	0.10426	0.0277	0.04857	0.15996	3.7639	< .001
Log2(T23)_Log2(T3)	0.06828	0.0409	-0.01395	0.15052	1.6696	0.102
Log2(T24)_Log2(T3)	-0.02054	0.0292	-0.07931	0.03823	-0.7028	0.486
Log2(T25)_Log2(T3)	-0.00194	0.0364	-0.07521	0.07133	-0.0532	0.958
Log2(T26)_Log2(T3)	-0.01785	0.0467	-0.11167	0.07597	-0.3825	0.704
Log2(T27)_Log2(T3)	-0.10172	0.0475	-0.19723	-0.00620	-2.1412	0.037
Log2(T28)_Log2(T3)	-0.01431	0.0304	-0.07553	0.04691	-0.4700	0.640
Log2(T29)_Log2(T3)	0.00278	0.0187	-0.03478	0.04034	0.1489	0.882
Log2(T30)_Log2(T3)	-0.16437	0.0487	-0.26228	-0.06645	-3.3752	0.001
Log2(T31)_Log2(T3)	0.00282	0.0228	-0.04302	0.04865	0.1235	0.902
Log2(T32)_Log2(T3)	-0.07666	0.0872	-0.25190	0.09858	-0.8796	0.383
Log2(T33)_Log2(T3)	-0.01784	0.0226	-0.06331	0.02763	-0.7887	0.434
Log2(T34)_Log2(T3)	-0.00397	0.0262	-0.05659	0.04865	-0.1516	0.880
Log2(T35)_Log2(T3)	0.02407	0.0164	-0.00890	0.05704	1.4680	0.149

Assumption Checks

Collinearity Statistics
	VIF	Tolerance
Log2(T1)_Log2(T3)	3.30	0.303
Log2(T2)_Log2(T3)	7.80	0.128
Log2(T4)_Log2(T3)	4.24	0.236
Log2(T5)_Log2(T3)	4.06	0.247
Log2(T6)_Log2(T3)	2.40	0.417
Log2(T7)_Log2(T3)	3.16	0.316
Log2(T8)_Log2(T3)	4.68	0.214
Log2(T9)_Log2(T3)	2.63	0.381
Log2(T10)_Log2(T3)	2.51	0.398
Log2(T11)_Log2(T3)	2.34	0.427
Log2(T12)_Log2(T3)	2.83	0.353
Log2(T13)_Log2(T3)	1.69	0.593
Log2(T14)_Log2(T3)	5.92	0.169
Log2(T15)_Log2(T3)	5.11	0.196
Log2(T16)_Log2(T3)	6.05	0.165
Log2(T17)_Log2(T3)	2.32	0.430
Log2(T18)_Log2(T3)	5.80	0.172
Log2(T19)_Log2(T3)	3.19	0.313
Log2(T20)_Log2(T3)	2.96	0.338
Log2(T21)_Log2(T3)	2.21	0.453
Log2(T22)_Log2(T3)	3.74	0.267
Log2(T23)_Log2(T3)	4.69	0.213
Log2(T24)_Log2(T3)	3.09	0.324
Log2(T25)_Log2(T3)	5.44	0.184
Log2(T26)_Log2(T3)	7.75	0.129
Log2(T27)_Log2(T3)	3.21	0.312
Log2(T28)_Log2(T3)	3.91	0.256
Log2(T29)_Log2(T3)	2.85	0.351
Log2(T30)_Log2(T3)	3.24	0.308
Log2(T31)_Log2(T3)	2.49	0.401
Log2(T32)_Log2(T3)	7.32	0.137
Log2(T33)_Log2(T3)	3.45	0.290
Log2(T34)_Log2(T3)	4.78	0.209
Log2(T35)_Log2(T3)	2.67	0.374

[3]

Linear Regression

This is a linear regression using additive log ratios, based on the method described by Coenders & Pawlowsky-Glahn (2020). Dependent variable 4* %.

Model Fit Measures
				Overall Model Test
Model	R	R²	Adjusted R²	F	df1	df2	p
1	0.918	0.842	0.731	7.54	34	48	< .001

Model Coefficients - 4*
			95% Confidence Interval
Predictor	Estimate	SE	Lower	Upper	t	p
Intercept	34.3071	7.279	19.672	48.943	4.7132	< .001
Log2(T1)_Log2(T3)	0.9800	1.035	-1.102	3.062	0.9466	0.349
Log2(T2)_Log2(T3)	-0.1958	1.617	-3.447	3.055	-0.1211	0.904
Log2(T4)_Log2(T3)	0.4227	0.631	-0.847	1.692	0.6695	0.506
Log2(T5)_Log2(T3)	0.7718	0.685	-0.605	2.148	1.1275	0.265
Log2(T6)_Log2(T3)	0.8712	0.551	-0.236	1.978	1.5822	0.120
Log2(T7)_Log2(T3)	0.1690	0.571	-0.979	1.317	0.2960	0.768
Log2(T8)_Log2(T3)	1.0496	0.675	-0.308	2.408	1.5541	0.127
Log2(T9)_Log2(T3)	-0.0449	0.770	-1.592	1.503	-0.0584	0.954
Log2(T10)_Log2(T3)	0.4902	0.707	-0.932	1.912	0.6930	0.492
Log2(T11)_Log2(T3)	-0.4405	0.476	-1.397	0.516	-0.9261	0.359
Log2(T12)_Log2(T3)	-0.2260	0.495	-1.222	0.770	-0.4563	0.650
Log2(T13)_Log2(T3)	-0.8052	0.769	-2.352	0.741	-1.0470	0.300
Log2(T14)_Log2(T3)	2.1250	1.791	-1.476	5.726	1.1865	0.241
Log2(T15)_Log2(T3)	1.1097	0.765	-0.429	2.649	1.4496	0.154
Log2(T16)_Log2(T3)	-1.4381	0.879	-3.206	0.330	-1.6358	0.108
Log2(T17)_Log2(T3)	-0.1970	1.151	-2.511	2.117	-0.1712	0.865
Log2(T18)_Log2(T3)	0.8617	1.014	-1.176	2.900	0.8500	0.400
Log2(T19)_Log2(T3)	-0.4826	0.442	-1.372	0.407	-1.0911	0.281
Log2(T20)_Log2(T3)	1.3406	1.136	-0.943	3.624	1.1805	0.244
Log2(T21)_Log2(T3)	-0.7361	0.549	-1.841	0.369	-1.3396	0.187
Log2(T22)_Log2(T3)	2.2370	0.890	0.447	4.027	2.5131	0.015
Log2(T23)_Log2(T3)	2.9803	1.314	0.338	5.623	2.2677	0.028
Log2(T24)_Log2(T3)	-1.0705	0.939	-2.959	0.818	-1.1397	0.260
Log2(T25)_Log2(T3)	-0.2502	1.171	-2.605	2.104	-0.2137	0.832
Log2(T26)_Log2(T3)	-1.2827	1.499	-4.297	1.732	-0.8555	0.397
Log2(T27)_Log2(T3)	-0.7202	1.526	-3.789	2.349	-0.4718	0.639
Log2(T28)_Log2(T3)	-0.2931	0.978	-2.260	1.674	-0.2995	0.766
Log2(T29)_Log2(T3)	-0.2966	0.600	-1.503	0.910	-0.4942	0.623
Log2(T30)_Log2(T3)	-7.4740	1.565	-10.620	-4.328	-4.7761	< .001
Log2(T31)_Log2(T3)	-0.0471	0.733	-1.520	1.426	-0.0643	0.949
Log2(T32)_Log2(T3)	-4.5101	2.801	-10.141	1.121	-1.6104	0.114
Log2(T33)_Log2(T3)	-0.8824	0.727	-2.344	0.579	-1.2143	0.231
Log2(T34)_Log2(T3)	-0.1386	0.841	-1.829	1.552	-0.1648	0.870
Log2(T35)_Log2(T3)	0.4172	0.527	-0.642	1.477	0.7919	0.432

Assumption Checks

Collinearity Statistics
	VIF	Tolerance
Log2(T1)_Log2(T3)	3.30	0.303
Log2(T2)_Log2(T3)	7.80	0.128
Log2(T4)_Log2(T3)	4.24	0.236
Log2(T5)_Log2(T3)	4.06	0.247
Log2(T6)_Log2(T3)	2.40	0.417
Log2(T7)_Log2(T3)	3.16	0.316
Log2(T8)_Log2(T3)	4.68	0.214
Log2(T9)_Log2(T3)	2.63	0.381
Log2(T10)_Log2(T3)	2.51	0.398
Log2(T11)_Log2(T3)	2.34	0.427
Log2(T12)_Log2(T3)	2.83	0.353
Log2(T13)_Log2(T3)	1.69	0.593
Log2(T14)_Log2(T3)	5.92	0.169
Log2(T15)_Log2(T3)	5.11	0.196
Log2(T16)_Log2(T3)	6.05	0.165
Log2(T17)_Log2(T3)	2.32	0.430
Log2(T18)_Log2(T3)	5.80	0.172
Log2(T19)_Log2(T3)	3.19	0.313
Log2(T20)_Log2(T3)	2.96	0.338
Log2(T21)_Log2(T3)	2.21	0.453
Log2(T22)_Log2(T3)	3.74	0.267
Log2(T23)_Log2(T3)	4.69	0.213
Log2(T24)_Log2(T3)	3.09	0.324
Log2(T25)_Log2(T3)	5.44	0.184
Log2(T26)_Log2(T3)	7.75	0.129
Log2(T27)_Log2(T3)	3.21	0.312
Log2(T28)_Log2(T3)	3.91	0.256
Log2(T29)_Log2(T3)	2.85	0.351
Log2(T30)_Log2(T3)	3.24	0.308
Log2(T31)_Log2(T3)	2.49	0.401
Log2(T32)_Log2(T3)	7.32	0.137
Log2(T33)_Log2(T3)	3.45	0.290
Log2(T34)_Log2(T3)	4.78	0.209
Log2(T35)_Log2(T3)	2.67	0.374

[3]

Correlation Matrix

This is a correlation matrix, looking at the relationships between each topic proportion, across units.

Correlation Matrix
		Avg_T32	OutputsGPA	Avg_T1	Avg_T2	Avg_T3	Avg_T4	Avg_T5	Avg_T6	Avg_T7	Avg_T8	Avg_T9	Avg_T10	Avg_T11	Avg_T12	Avg_T13	Avg_T14	Avg_T15	Avg_T16	Avg_T17	Avg_T18	Avg_T19	Avg_T20	Avg_T21	Avg_T22	Avg_T23	Avg_T24	Avg_T25	Avg_T26	Avg_T27	Avg_T28	Avg_T29	Avg_T30	Avg_T31	Avg_T33	Avg_T34	Avg_T35
Avg_T32	Pearson's r	—	-0.585
	df	—	81
	p-value	—	< .001
OutputsGPA	Pearson's r	-0.585	—
	df	81	—
	p-value	< .001	—
Avg_T1	Pearson's r	-0.143	0.131	—
	df	81	81	—
	p-value	0.198	0.238	—
Avg_T2	Pearson's r	-0.073	0.023	0.118	—
	df	81	81	81	—
	p-value	0.510	0.839	0.290	—
Avg_T3	Pearson's r	-0.064	-0.175	0.034	-0.434	—
	df	81	81	81	81	—
	p-value	0.566	0.113	0.764	< .001	—
Avg_T4	Pearson's r	0.191	0.059	-0.093	-0.003	-0.235	—
	df	81	81	81	81	81	—
	p-value	0.084	0.596	0.405	0.977	0.033	—
Avg_T5	Pearson's r	-0.255	0.022	-0.065	-0.136	0.025	-0.142	—
	df	81	81	81	81	81	81	—
	p-value	0.020	0.841	0.558	0.219	0.825	0.202	—
Avg_T6	Pearson's r	0.094	-0.128	-0.134	-0.207	0.402	-0.197	-0.083	—
	df	81	81	81	81	81	81	81	—
	p-value	0.398	0.250	0.228	0.060	< .001	0.074	0.453	—
Avg_T7	Pearson's r	-0.356	0.184	0.111	-0.111	0.245	-0.187	0.541	-0.025	—
	df	81	81	81	81	81	81	81	81	—
	p-value	< .001	0.095	0.318	0.316	0.026	0.091	< .001	0.824	—
Avg_T8	Pearson's r	0.216	0.152	0.034	0.113	-0.277	-0.046	-0.160	-0.182	-0.177	—
	df	81	81	81	81	81	81	81	81	81	—
	p-value	0.050	0.172	0.763	0.309	0.011	0.679	0.147	0.100	0.110	—
Avg_T9	Pearson's r	-0.228	0.284	-0.039	-0.068	-0.144	0.235	-0.057	-0.171	-0.006	0.009	—
	df	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.038	0.009	0.727	0.540	0.195	0.032	0.611	0.123	0.956	0.937	—
Avg_T10	Pearson's r	-0.315	0.287	-0.014	-0.231	0.161	-0.084	0.065	0.054	0.050	-0.125	0.020	—
	df	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.004	0.008	0.902	0.036	0.146	0.449	0.561	0.631	0.651	0.262	0.855	—
Avg_T11	Pearson's r	0.001	-0.027	-0.007	-0.023	0.145	0.135	-0.117	0.040	-0.072	-0.057	0.076	-0.044	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.993	0.808	0.948	0.834	0.190	0.223	0.292	0.718	0.515	0.611	0.496	0.696	—
Avg_T12	Pearson's r	-0.317	0.312	0.335	-0.152	0.023	-0.136	-0.041	0.058	-0.019	-0.021	-0.041	0.099	-0.052	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.004	0.004	0.002	0.171	0.834	0.220	0.710	0.606	0.862	0.853	0.714	0.373	0.642	—
Avg_T13	Pearson's r	0.102	-0.289	0.070	-0.143	0.309	-0.176	-0.093	-0.039	0.019	0.097	-0.094	-0.206	-0.028	-0.059	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.358	0.008	0.532	0.196	0.004	0.111	0.404	0.723	0.865	0.384	0.396	0.062	0.805	0.596	—
Avg_T14	Pearson's r	-0.003	0.232	-0.077	0.183	-0.439	0.152	-0.256	-0.210	-0.199	0.169	0.273	-0.234	0.035	-0.153	-0.129	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.977	0.035	0.490	0.098	< .001	0.171	0.020	0.057	0.072	0.126	0.013	0.033	0.753	0.167	0.243	—
Avg_T15	Pearson's r	0.129	0.106	0.061	0.388	-0.484	0.230	-0.145	-0.203	-0.214	0.161	-0.093	-0.137	-0.001	-0.055	-0.219	0.208	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.245	0.340	0.586	< .001	< .001	0.037	0.190	0.066	0.052	0.147	0.401	0.215	0.992	0.624	0.047	0.059	—
Avg_T16	Pearson's r	0.103	-0.034	0.003	0.026	-0.257	0.022	-0.184	-0.073	-0.198	0.061	-0.013	-0.058	0.083	-0.131	-0.154	0.024	0.129	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.352	0.758	0.981	0.816	0.019	0.843	0.095	0.510	0.072	0.586	0.906	0.604	0.457	0.237	0.164	0.830	0.244	—
Avg_T17	Pearson's r	0.283	-0.391	-0.143	-0.196	0.332	-0.123	0.032	0.089	0.020	-0.078	-0.022	-0.198	-0.047	-0.159	0.272	-0.111	-0.278	-0.325	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.010	< .001	0.198	0.076	0.002	0.267	0.776	0.421	0.856	0.481	0.842	0.073	0.670	0.150	0.013	0.318	0.011	0.003	—
Avg_T18	Pearson's r	0.135	-0.127	0.247	0.516	-0.414	0.013	-0.144	-0.160	-0.187	0.118	-0.109	-0.173	-0.050	-0.153	-0.063	0.179	0.193	0.235	-0.118	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.223	0.253	0.024	< .001	< .001	0.907	0.195	0.150	0.090	0.287	0.327	0.117	0.654	0.166	0.570	0.104	0.080	0.033	0.288	—
Avg_T19	Pearson's r	-0.217	0.230	0.013	-0.036	-0.089	-0.012	-0.039	-0.053	-0.062	-0.057	-0.026	0.318	-0.014	0.158	-0.157	-0.029	0.175	0.157	-0.252	-0.143	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.048	0.037	0.904	0.747	0.421	0.914	0.728	0.633	0.577	0.611	0.814	0.003	0.903	0.153	0.157	0.797	0.114	0.157	0.022	0.198	—
Avg_T20	Pearson's r	0.092	0.059	-0.131	-0.127	-0.008	0.143	-0.034	-0.329	-0.124	0.057	0.125	-0.003	-0.057	-0.153	0.063	0.020	-0.078	0.058	0.088	-0.102	-0.046	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.409	0.597	0.239	0.254	0.944	0.197	0.759	0.002	0.265	0.608	0.262	0.976	0.611	0.167	0.573	0.861	0.482	0.602	0.430	0.358	0.677	—
Avg_T21	Pearson's r	0.162	-0.294	-0.168	-0.085	0.037	-0.039	-0.037	0.034	-0.129	-0.019	-0.157	-0.055	0.156	-0.126	-0.048	-0.192	-0.154	0.118	0.067	0.024	-0.104	0.178	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.143	0.007	0.130	0.443	0.738	0.728	0.739	0.758	0.246	0.868	0.157	0.621	0.158	0.257	0.668	0.081	0.165	0.289	0.545	0.830	0.347	0.107	—
Avg_T22	Pearson's r	-0.589	0.593	-0.029	-0.291	0.100	-0.137	0.089	0.109	0.153	-0.103	0.410	0.444	-0.084	0.187	-0.179	-0.007	-0.148	-0.080	-0.207	-0.329	0.255	-0.070	-0.136	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	< .001	< .001	0.792	0.008	0.369	0.215	0.426	0.325	0.167	0.354	< .001	< .001	0.448	0.091	0.106	0.951	0.183	0.471	0.061	0.002	0.020	0.527	0.220	—
Avg_T23	Pearson's r	-0.189	0.423	-0.056	-0.196	-0.034	0.206	-0.213	0.018	0.038	0.023	0.164	0.105	-0.021	0.108	-0.297	0.033	0.100	0.144	-0.093	-0.251	0.154	-0.127	-0.057	0.346	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.087	< .001	0.614	0.075	0.763	0.062	0.054	0.874	0.730	0.834	0.138	0.344	0.854	0.331	0.006	0.766	0.370	0.194	0.402	0.022	0.164	0.251	0.611	0.001	—
Avg_T24	Pearson's r	-0.013	0.001	-0.142	-0.121	0.377	-0.043	0.046	-0.016	0.138	-0.211	-0.030	0.227	0.234	-0.024	0.097	-0.327	-0.243	-0.259	0.065	-0.212	-0.074	0.265	0.079	-0.052	-0.212	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.904	0.990	0.199	0.277	< .001	0.700	0.679	0.886	0.214	0.055	0.788	0.039	0.034	0.832	0.383	0.003	0.027	0.018	0.558	0.054	0.506	0.015	0.477	0.643	0.054	—
Avg_T25	Pearson's r	0.181	0.036	-0.186	-0.089	-0.267	0.102	-0.158	0.186	-0.249	0.137	0.073	-0.027	-0.065	-0.065	-0.200	0.198	0.155	0.158	-0.155	-0.025	0.066	-0.169	0.020	0.296	0.109	-0.288	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.101	0.749	0.093	0.426	0.015	0.357	0.154	0.093	0.023	0.218	0.511	0.810	0.562	0.557	0.070	0.073	0.163	0.155	0.162	0.825	0.554	0.128	0.859	0.007	0.327	0.008	—
Avg_T26	Pearson's r	0.050	0.058	0.044	0.319	-0.371	0.260	-0.259	-0.187	-0.139	0.153	0.164	-0.404	0.116	-0.224	-0.089	0.520	0.217	0.138	0.013	0.250	-0.035	0.009	-0.092	-0.238	0.080	-0.384	0.069	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.654	0.603	0.691	0.003	< .001	0.018	0.018	0.090	0.210	0.168	0.139	< .001	0.295	0.041	0.422	< .001	0.048	0.214	0.909	0.023	0.752	0.939	0.410	0.030	0.470	< .001	0.534	—
Avg_T27	Pearson's r	0.348	-0.450	-0.293	-0.185	0.222	-0.193	0.072	0.069	-0.146	-0.013	-0.077	-0.116	-0.110	-0.276	0.246	0.055	-0.200	-0.326	0.392	-0.134	-0.139	0.146	-0.086	-0.188	-0.451	0.184	-0.087	-0.114	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.001	< .001	0.007	0.095	0.043	0.081	0.515	0.538	0.189	0.905	0.491	0.298	0.324	0.011	0.025	0.624	0.070	0.003	< .001	0.228	0.209	0.189	0.442	0.090	< .001	0.096	0.432	0.305	—
Avg_T28	Pearson's r	-0.121	0.166	-0.194	-0.043	-0.177	0.012	-0.141	-0.059	-0.085	-0.014	0.148	-0.094	-0.066	-0.109	-0.049	0.493	0.024	-0.158	-0.045	-0.084	-0.101	0.018	-0.126	0.231	0.000	-0.168	0.383	0.213	0.065	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.277	0.133	0.079	0.696	0.109	0.912	0.203	0.595	0.446	0.901	0.181	0.397	0.552	0.327	0.659	< .001	0.833	0.153	0.686	0.450	0.362	0.873	0.257	0.036	0.998	0.129	< .001	0.054	0.561	—
Avg_T29	Pearson's r	0.165	-0.188	-0.049	0.007	-0.037	-0.063	-0.086	-0.010	-0.168	-0.030	-0.023	-0.081	0.134	-0.153	-0.052	0.079	0.084	0.439	-0.109	-0.029	0.141	-0.010	0.053	-0.183	-0.071	-0.051	0.027	-0.031	-0.030	-0.024	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.136	0.089	0.659	0.948	0.740	0.569	0.441	0.926	0.129	0.790	0.836	0.468	0.226	0.168	0.642	0.480	0.452	< .001	0.325	0.795	0.204	0.930	0.637	0.098	0.521	0.645	0.808	0.778	0.789	0.826	—
Avg_T30	Pearson's r	0.405	-0.604	0.049	-0.019	0.154	0.075	-0.192	0.044	-0.123	-0.158	-0.208	-0.251	-0.025	-0.233	0.141	-0.197	-0.089	0.068	0.266	0.030	-0.210	0.078	0.319	-0.468	-0.003	-0.141	-0.173	0.056	0.042	-0.176	0.083	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	< .001	< .001	0.660	0.863	0.166	0.499	0.081	0.694	0.267	0.155	0.059	0.022	0.825	0.034	0.204	0.074	0.423	0.543	0.015	0.790	0.056	0.481	0.003	< .001	0.980	0.202	0.117	0.613	0.706	0.111	0.456	—
Avg_T31	Pearson's r	-0.149	0.241	0.006	-0.072	0.153	-0.064	0.020	0.008	0.184	0.002	0.015	0.030	-0.161	0.310	-0.083	-0.152	-0.073	-0.227	-0.112	-0.277	-0.089	0.109	-0.094	0.099	-0.054	0.257	-0.152	-0.235	0.050	-0.035	-0.078	-0.162	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	0.179	0.028	0.957	0.517	0.166	0.568	0.855	0.946	0.097	0.988	0.892	0.785	0.145	0.004	0.455	0.170	0.513	0.039	0.313	0.011	0.424	0.325	0.400	0.374	0.628	0.019	0.170	0.032	0.652	0.755	0.481	0.143	—
Avg_T33	Pearson's r	-0.394	0.348	-0.003	-0.298	0.240	-0.078	0.063	0.101	0.191	-0.050	-0.072	0.435	0.019	0.141	-0.101	-0.237	-0.092	0.107	-0.235	-0.269	0.366	-0.129	-0.026	0.488	0.537	0.023	0.071	-0.281	-0.265	-0.089	-0.144	-0.253	0.006	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	< .001	0.001	0.981	0.006	0.029	0.482	0.570	0.365	0.083	0.656	0.520	< .001	0.864	0.205	0.364	0.031	0.409	0.336	0.033	0.014	< .001	0.245	0.815	< .001	< .001	0.833	0.522	0.010	0.016	0.425	0.194	0.021	0.958	—
Avg_T34	Pearson's r	-0.435	0.210	-0.012	-0.188	0.021	-0.201	0.591	-0.070	0.300	-0.142	-0.110	0.261	-0.084	0.419	-0.102	-0.364	-0.139	-0.063	-0.189	-0.211	-0.029	-0.112	-0.070	0.179	-0.032	0.061	-0.217	-0.347	-0.170	-0.179	-0.095	-0.262	0.219	0.215	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	< .001	0.057	0.912	0.088	0.847	0.068	< .001	0.530	0.006	0.202	0.321	0.017	0.451	< .001	0.358	< .001	0.209	0.571	0.087	0.056	0.792	0.315	0.532	0.106	0.773	0.583	0.049	0.001	0.124	0.105	0.394	0.017	0.046	0.051	—
Avg_T35	Pearson's r	-0.367	0.259	-0.002	-0.226	-0.083	-0.139	0.068	-0.089	-0.027	-0.106	-0.114	0.191	-0.149	0.513	-0.102	-0.090	-0.141	0.021	-0.220	-0.209	0.101	-0.006	-0.167	0.234	0.166	0.015	-0.126	-0.304	-0.028	0.024	-0.106	-0.266	0.213	0.171	0.494	—
	df	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	81	—
	p-value	< .001	0.018	0.988	0.040	0.458	0.209	0.541	0.422	0.807	0.340	0.304	0.083	0.177	< .001	0.358	0.418	0.203	0.849	0.046	0.057	0.366	0.956	0.130	0.033	0.134	0.891	0.255	0.005	0.801	0.829	0.340	0.015	0.053	0.122	< .001	—

References

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

[3] Fox, J., & Weisberg, S. (2020). car: Companion to Applied Regression. [R package]. Retrieved from https://cran.r-project.org/package=car.