Results

Linear Regression

Model Fit Measures
Model	R	R²	Adjusted R²
1	0.472	0.222	0.195
2	0.506	0.256	0.223
3	0.619	0.383	0.336
4	0.635	0.403	0.338

Model Comparisons
Comparison
Model		Model	ΔR²	F	df1	df2	p
1	-	2	0.0339	4.73	3	311	0.003
2	-	3	0.1267	6.89	9	302	< .001
3	-	4	0.0199	1.09	9	293	0.373

Model Specific ResultsModel 1Model 2Model 3Model 4

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.06	1.565	31.99	< .001
RESS_CONN_TECH:
0 – 3	-4.71	1.763	-2.67	0.008	-0.802
1 – 3	-3.89	1.093	-3.56	< .001	-0.663
2 – 3	-2.54	0.948	-2.68	0.008	-0.433
RESS_FIN_DUR_corr:
1 – 0	3.81	1.416	2.69	0.008	0.648
2 – 0	4.67	1.410	3.31	0.001	0.795
FI_COR_EQUIP:
1 – 3	-2.56	1.527	-1.68	0.094	-0.436
2 – 3	-2.30	0.631	-3.64	< .001	-0.391
INTER_OBS:
0 – 2	-1.99	0.814	-2.44	0.015	-0.339
1 – 2	-1.46	1.366	-1.07	0.284	-0.249
EFF_FORM_MOT:
1 – 3	-2.48	1.125	-2.20	0.028	-0.423
2 – 3	-2.51	0.640	-3.92	< .001	-0.427
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	49.620	1.548	32.046	< .001
RESS_CONN_TECH:
0 – 3	-6.091	1.772	-3.438	< .001	-1.037
1 – 3	-4.369	1.083	-4.035	< .001	-0.744
2 – 3	-2.741	0.933	-2.936	0.004	-0.467
RESS_FIN_DUR_corr:
1 – 0	3.977	1.393	2.856	0.005	0.677
2 – 0	4.731	1.389	3.406	< .001	0.806
FI_COR_EQUIP:
1 – 3	-2.434	1.504	-1.618	0.107	-0.415
2 – 3	-2.302	0.621	-3.707	< .001	-0.392
INTER_OBS:
0 – 2	-2.069	0.804	-2.573	0.011	-0.352
1 – 2	-1.494	1.344	-1.112	0.267	-0.254
EFF_FORM_MOT:
1 – 3	-2.229	1.114	-2.000	0.046	-0.380
2 – 3	-2.379	0.631	-3.771	< .001	-0.405
NOMB_ENF:
1 – 0	0.601	1.049	0.573	0.567	0.102
2 – 0	2.425	0.950	2.554	0.011	0.413
3 – 0	3.846	1.271	3.026	0.003	0.655
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	49.458	1.552	31.861	< .001
RESS_CONN_TECH:
0 – 3	-4.369	1.676	-2.607	0.010	-0.7441
1 – 3	-3.115	1.037	-3.005	0.003	-0.5305
2 – 3	-2.264	0.875	-2.587	0.010	-0.3857
RESS_FIN_DUR_corr:
1 – 0	4.231	1.300	3.256	0.001	0.7207
2 – 0	4.930	1.306	3.774	< .001	0.8396
FI_COR_EQUIP:
1 – 3	-1.321	1.418	-0.931	0.352	-0.2250
2 – 3	-1.628	0.593	-2.743	0.006	-0.2773
INTER_OBS:
0 – 2	-1.787	0.758	-2.358	0.019	-0.3043
1 – 2	-2.364	1.256	-1.883	0.061	-0.4027
EFF_FORM_MOT:
1 – 3	-0.334	1.080	-0.310	0.757	-0.0570
2 – 3	-1.591	0.608	-2.618	0.009	-0.2710
NOMB_ENF:
1 – 0	0.232	0.974	0.238	0.812	0.0395
2 – 0	1.899	0.885	2.145	0.033	0.3234
3 – 0	3.154	1.190	2.650	0.008	0.5372
FOR_DET_OBJ:
1 – 2	-2.063	0.731	-2.824	0.005	-0.3514
INTERAC_FOR_THEO_BIN:
2 – 3	-0.590	0.708	-0.834	0.405	-0.1005
INTERAC_FOR_PRA_BIN:
2 – 3	0.461	0.763	0.605	0.546	0.0786
POST_FORM:
1 – 0	-0.208	0.573	-0.364	0.716	-0.0355
2 – 0	0.405	1.318	0.307	0.759	0.0689
NIV_EXG_FORM:
2 – 1	0.634	0.717	0.884	0.377	0.1080
3 – 1	-1.230	1.427	-0.862	0.389	-0.2096
FORM_AID_INTER:
1 – 3	-8.421	1.466	-5.743	< .001	-1.4343
2 – 3	-2.140	0.624	-3.430	< .001	-0.3645
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	49.7516	1.816	27.3926	< .001
RESS_CONN_TECH:
0 – 3	-4.3177	1.703	-2.5348	0.012	-0.7354
1 – 3	-2.9929	1.091	-2.7439	0.006	-0.5097
2 – 3	-2.0937	0.908	-2.3053	0.022	-0.3566
RESS_FIN_DUR_corr:
1 – 0	4.5211	1.307	3.4599	< .001	0.7700
2 – 0	5.4229	1.321	4.1062	< .001	0.9236
FI_COR_EQUIP:
1 – 3	-1.5306	1.438	-1.0646	0.288	-0.2607
2 – 3	-1.6662	0.599	-2.7823	0.006	-0.2838
INTER_OBS:
0 – 2	-1.3826	0.773	-1.7893	0.075	-0.2355
1 – 2	-2.0030	1.274	-1.5726	0.117	-0.3411
EFF_FORM_MOT:
1 – 3	-0.3143	1.100	-0.2857	0.775	-0.0535
2 – 3	-1.6053	0.613	-2.6179	0.009	-0.2734
NOMB_ENF:
1 – 0	0.6717	1.003	0.6700	0.503	0.1144
2 – 0	1.9770	0.887	2.2291	0.027	0.3367
3 – 0	3.1444	1.205	2.6095	0.010	0.5355
FOR_DET_OBJ:
1 – 2	-2.1484	0.739	-2.9060	0.004	-0.3659
INTERAC_FOR_THEO_BIN:
2 – 3	-0.3375	0.723	-0.4671	0.641	-0.0575
INTERAC_FOR_PRA_BIN:
2 – 3	0.9054	0.788	1.1494	0.251	0.1542
POST_FORM:
1 – 0	-0.2221	0.583	-0.3812	0.703	-0.0378
2 – 0	0.8479	1.346	0.6301	0.529	0.1444
NIV_EXG_FORM:
2 – 1	0.4567	0.728	0.6274	0.531	0.0778
3 – 1	-1.2310	1.443	-0.8533	0.394	-0.2097
FORM_AID_INTER:
1 – 3	-8.5900	1.498	-5.7345	< .001	-1.4630
2 – 3	-1.9252	0.667	-2.8859	0.004	-0.3279
AVIS_FORM_GROUP:
2 – 3	-0.6979	0.894	-0.7809	0.435	-0.1189
SATIS_COMP_GROUP_BIN:
2 – 3	1.0407	0.740	1.4071	0.160	0.1772
GROUP_FAV_APPR:
1 – 3	0.7079	1.273	0.5561	0.579	0.1206
2 – 3	-0.0669	0.693	-0.0966	0.923	-0.0114
INTEGR_GROUP_BIN:
2 – 3	-0.8989	0.797	-1.1283	0.260	-0.1531
FAV_APPR_THEO:
1 – 3	-0.3809	1.539	-0.2475	0.805	-0.0649
2 – 3	-1.1541	0.722	-1.5984	0.111	-0.1966
INTER_APPR_GR:
1 – 3	-1.8133	1.420	-1.2772	0.203	-0.3088
2 – 3	-0.6193	1.123	-0.5516	0.582	-0.1055
ᵃ Represents reference level

One-Way ANOVA

One-Way ANOVA (Welch's)
		F		df1		df2		p

Independent Samples T-Test

Independent Samples T-Test
		Statistic	df	p
Score appropriation	Student's t	0.124	321	0.901
	Welch's t	0.126	280	0.900

Assumptions

Homogeneity of Variances Test (Levene's)
	F	df	df2	p
Score appropriation	0.162	1	321	0.688
Note. A low p-value suggests a violation of the assumption of equal variances

[3]

Independent Samples T-Test

Grouping variable 'AIM_TRAV' must have exactly 2 levels

Independent Samples T-Test
		Statistic	df	p
Score appropriation	Student's t	.	.	.
	Welch's t	.	.	.

Assumptions

Homogeneity of Variances Test (Levene's)
	F	df	df2	p
Score appropriation	.	.	.	.
Note. A low p-value suggests a violation of the assumption of equal variances

[3]

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.65	3	161	0.181
	Fisher's	1.70	3	326	0.168

Independent Samples T-Test

Independent Samples T-Test
		Statistic	df	p
Score appropriation	Student's t	1.69	328	0.092

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.72	2	24.9	0.199
	Fisher's	2.53	2	327	0.081

Assumption Checks

Homogeneity of Variances Test (Levene's)
	F	df1	df2	p
Score appropriation	2.69	2	327	0.070

[3]

Independent Samples T-Test

Grouping variable 'ATT_DEV_COMP' must have exactly 2 levels

Independent Samples T-Test
		Statistic	df	p
Score appropriation	Student's t	.	.	.

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.42	2	42.1	0.253
	Fisher's	1.37	2	327	0.254

Assumption Checks

Homogeneity of Variances Test (Levene's)
	F	df1	df2	p
Score appropriation	2.78	2	327	0.064

[3]

Independent Samples T-Test

Independent Samples T-Test
				Statistic		df		p

Linear Regression

Model Fit Measures
					Overall Model Test
Model	R	R²	Adjusted R²	AIC	F	df1	df2	p
1	0.469	0.220	0.193	2056	8.16	11	318	< .001
2	0.508	0.258	0.225	2046	7.82	14	315	< .001
3	0.619	0.384	0.350	1991	11.43	17	312	< .001
4	0.628	0.394	0.357	1989	10.60	19	310	< .001
5	0.646	0.417	0.373	1985	9.51	23	306	< .001

Model Comparisons
Comparison
Model		Model	ΔR²	F	df1	df2	p
1	-	2	0.0378	5.35	3	315	0.001
2	-	3	0.1257	21.22	3	312	< .001
3	-	4	0.0102	2.60	2	310	0.076
4	-	5	0.0230	3.02	4	306	0.018

Model Specific ResultsModel 1Model 2Model 3Model 4Model 5

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.72	1.558	32.56	< .001
INTER_OBS:
0 – 2	-1.90	0.824	-2.31	0.022	-0.320
1 – 2	-2.03	1.348	-1.51	0.133	-0.341
EFF_FORM_MOT:
1 – 3	-2.36	1.140	-2.07	0.039	-0.396
2 – 3	-2.52	0.644	-3.92	< .001	-0.424
RESS_FIN_DUR_corr:
1 – 0	3.19	1.396	2.28	0.023	0.535
2 – 0	4.03	1.387	2.90	0.004	0.677
FI_COR_EQUIP:
1 – 3	-2.72	1.548	-1.76	0.080	-0.457
2 – 3	-2.43	0.638	-3.81	< .001	-0.409
RESS_CONN_TECH:
0 – 3	-4.67	1.788	-2.61	0.009	-0.784
1 – 3	-3.99	1.107	-3.61	< .001	-0.671
2 – 3	-2.56	0.960	-2.67	0.008	-0.430
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.122	1.539	32.575	< .001
INTER_OBS:
0 – 2	-2.000	0.812	-2.463	0.014	-0.336
1 – 2	-2.021	1.323	-1.528	0.128	-0.340
EFF_FORM_MOT:
1 – 3	-2.112	1.126	-1.876	0.062	-0.355
2 – 3	-2.411	0.634	-3.805	< .001	-0.405
RESS_FIN_DUR_corr:
1 – 0	3.497	1.370	2.552	0.011	0.588
2 – 0	4.222	1.362	3.100	0.002	0.710
FI_COR_EQUIP:
1 – 3	-2.540	1.521	-1.670	0.096	-0.427
2 – 3	-2.430	0.626	-3.882	< .001	-0.408
RESS_CONN_TECH:
0 – 3	-6.124	1.792	-3.418	< .001	-1.029
1 – 3	-4.481	1.093	-4.098	< .001	-0.753
2 – 3	-2.776	0.944	-2.941	0.004	-0.467
NOMB_ENF:
1 – 0	0.727	1.060	0.685	0.494	0.122
2 – 0	2.728	0.948	2.878	0.004	0.458
3 – 0	3.955	1.286	3.076	0.002	0.665
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.444	1.421	35.498	< .001
INTER_OBS:
0 – 2	-1.590	0.750	-2.120	0.035	-0.2672
1 – 2	-2.609	1.217	-2.145	0.033	-0.4386
EFF_FORM_MOT:
1 – 3	-0.322	1.057	-0.305	0.761	-0.0542
2 – 3	-1.602	0.592	-2.707	0.007	-0.2692
RESS_FIN_DUR_corr:
1 – 0	3.627	1.258	2.883	0.004	0.6095
2 – 0	4.396	1.251	3.513	< .001	0.7388
FI_COR_EQUIP:
1 – 3	-1.686	1.399	-1.205	0.229	-0.2834
2 – 3	-1.826	0.579	-3.151	0.002	-0.3068
RESS_CONN_TECH:
0 – 3	-4.226	1.666	-2.537	0.012	-0.7102
1 – 3	-3.082	1.022	-3.015	0.003	-0.5180
2 – 3	-2.335	0.868	-2.690	0.008	-0.3924
NOMB_ENF:
1 – 0	0.269	0.973	0.276	0.782	0.0452
2 – 0	2.075	0.873	2.376	0.018	0.3487
3 – 0	3.200	1.186	2.697	0.007	0.5378
FOR_DET_OBJ:
1 – 2	-2.324	0.689	-3.374	< .001	-0.3906
FORM_AID_INTER:
1 – 3	-8.544	1.375	-6.215	< .001	-1.4360
2 – 3	-2.299	0.585	-3.929	< .001	-0.3864
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.318	1.420	35.424	< .001
INTER_OBS:
0 – 2	-1.437	0.750	-1.916	0.056	-0.2414
1 – 2	-2.426	1.217	-1.994	0.047	-0.4077
EFF_FORM_MOT:
1 – 3	-0.261	1.054	-0.248	0.804	-0.0439
2 – 3	-1.535	0.589	-2.604	0.010	-0.2580
RESS_FIN_DUR_corr:
1 – 0	3.876	1.256	3.085	0.002	0.6514
2 – 0	4.721	1.255	3.762	< .001	0.7934
FI_COR_EQUIP:
1 – 3	-1.786	1.392	-1.283	0.201	-0.3002
2 – 3	-1.758	0.577	-3.045	0.003	-0.2954
RESS_CONN_TECH:
0 – 3	-4.400	1.660	-2.651	0.008	-0.7394
1 – 3	-3.035	1.019	-2.976	0.003	-0.5100
2 – 3	-2.282	0.865	-2.639	0.009	-0.3836
NOMB_ENF:
1 – 0	0.341	0.970	0.351	0.726	0.0573
2 – 0	2.105	0.869	2.422	0.016	0.3538
3 – 0	3.207	1.183	2.711	0.007	0.5390
FOR_DET_OBJ:
1 – 2	-2.218	0.688	-3.223	0.001	-0.3728
FORM_AID_INTER:
1 – 3	-8.472	1.373	-6.171	< .001	-1.4239
2 – 3	-1.971	0.602	-3.274	0.001	-0.3312
FAV_APPR_THEO:
1 – 3	-0.726	1.402	-0.517	0.605	-0.1220
2 – 3	-1.378	0.607	-2.269	0.024	-0.2316
ᵃ Represents reference level

Model Coefficients - Score appropriation
Predictor	Estimate	SE	t	p	Stand. Estimate
Intercept ᵃ	50.887	1.415	35.973	< .001
INTER_OBS:
0 – 2	-1.312	0.743	-1.765	0.079	-0.2206
1 – 2	-2.625	1.204	-2.179	0.030	-0.4411
EFF_FORM_MOT:
1 – 3	-0.473	1.046	-0.452	0.652	-0.0794
2 – 3	-1.392	0.585	-2.380	0.018	-0.2339
RESS_FIN_DUR_corr:
1 – 0	3.435	1.251	2.745	0.006	0.5773
2 – 0	4.281	1.251	3.422	< .001	0.7196
FI_COR_EQUIP:
1 – 3	-1.140	1.410	-0.808	0.419	-0.1916
2 – 3	-1.193	0.604	-1.977	0.049	-0.2005
RESS_CONN_TECH:
0 – 3	-3.665	1.680	-2.181	0.030	-0.6160
1 – 3	-2.550	1.017	-2.508	0.013	-0.4285
2 – 3	-1.932	0.860	-2.246	0.025	-0.3247
NOMB_ENF:
1 – 0	0.517	0.961	0.538	0.591	0.0869
2 – 0	2.222	0.860	2.585	0.010	0.3735
3 – 0	3.121	1.172	2.664	0.008	0.5246
FOR_DET_OBJ:
1 – 2	-2.100	0.703	-2.987	0.003	-0.3529
FORM_AID_INTER:
1 – 3	-7.718	1.409	-5.476	< .001	-1.2971
2 – 3	-1.785	0.617	-2.894	0.004	-0.3000
FAV_APPR_THEO:
1 – 3	-0.574	1.390	-0.413	0.680	-0.0965
2 – 3	-1.284	0.607	-2.117	0.035	-0.2158
eval-mission:
1 – 3	-1.019	1.584	-0.643	0.520	-0.1713
2 – 3	-0.514	0.639	-0.805	0.422	-0.0864
temps_eval:
1 – 3	-3.587	1.569	-2.286	0.023	-0.6029
2 – 3	-1.493	0.609	-2.450	0.015	-0.2509
ᵃ Represents reference level

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.72	2	24.9	0.199
	Fisher's	2.53	2	327	0.081

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.72	2	24.9	0.199
	Fisher's	2.53	2	327	0.081

Assumption Checks

Homogeneity of Variances Test (Levene's)
	F	df1	df2	p
Score appropriation	2.69	2	327	0.070

[3]

One-Way ANOVA

One-Way ANOVA
		F	df1	df2	p
Score appropriation	Welch's	1.72	2	24.9	0.199
	Fisher's	2.53	2	327	0.081

Assumption Checks

Normality Test (Shapiro-Wilk)
	W	p
Score appropriation	0.987	0.004
Note. A low p-value suggests a violation of the assumption of normality

Homogeneity of Variances Test (Levene's)
	F	df1	df2	p
Score appropriation	2.69	2	327	0.070

[3]

One-Way ANOVA

One-Way ANOVA (Welch's)
	F	df1	df2	p
Score appropriation	11.5	3	53.1	< .001

Plots

Score appropriation

References

[1] The jamovi project (2021). jamovi. (Version 1.8) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).

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