FMG Study 2 Measurement invariance testing; 2000-2001 +lavaan+all

Design

A total of 189 conditions, with 2000 replications in each.

• n=400, 800, 2000 (group sample sizes)
• ngroups=2,4,8
• One-factor model with dim=5,10, 20
• distributions: normal, vm1, pl1, ig1, vm2, pl2, ig2
• method 2000, 2001
• 2000 replications

2001 vs 2000 Overall

2001 method has lower rejection rates for all tests

Non-normal distributions

VM1

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
peba6_ug	27	0.297	0.239	100.000
peba4_ug	27	0.309	0.257	100.000
pols2_ug	27	0.311	0.261	100.000
pall	27	0.345	0.293	100.000
peba6	27	0.453	0.324	100.000
pall_ug	27	0.469	0.370	100.000
peba2_ug	27	0.505	0.374	100.000
peba4	27	0.543	0.389	100.000
pols2	27	0.550	0.391	100.000
peba2	27	0.805	0.554	100.000
pall_ug_rls	27	0.913	0.552	96.296
sb_ug	27	0.921	0.667	96.296
pall_rls	27	1.124	0.667	92.593
ss_rls	27	1.219	1.083	100.000
sb	27	1.243	0.933	92.593
peba6_ug_rls	27	1.320	0.759	92.593
ss_ug_rls	27	1.403	1.246	96.296
peba4_ug_rls	27	1.418	0.824	92.593
pols2_ug_rls	27	1.423	0.820	92.593
all_rls	27	1.485	1.317	92.593
peba6_rls	27	1.591	0.920	85.185
all_ug_rls	27	1.637	1.454	88.889
ss	27	1.705	1.441	81.481
peba2_ug_rls	27	1.739	1.031	85.185
peba4_rls	27	1.745	0.998	85.185
pols2_rls	27	1.755	1.007	85.185
ss_ug	27	1.873	1.587	81.481
all	27	1.932	1.628	81.481
all_ug	27	2.110	1.796	74.074
peba2_rls	27	2.171	1.272	85.185
sb_ug_rls	27	2.296	1.385	85.185
sb_rls	27	2.697	1.659	77.778
std_rls	27	81.158	78.676	0.000
std_ml	27	81.624	79.206	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	2.492	2.017	62.963
sb_rls	27	2.948	2.493	51.852
sb_ug_rls	27	3.025	2.591	48.148
peba2_rls	27	3.047	2.617	51.852
sb	27	3.052	2.585	48.148
sb_ug	27	3.109	2.667	48.148
pols2_rls	27	3.111	2.696	44.444
peba2_ug_rls	27	3.113	2.702	44.444
peba4_rls	27	3.113	2.700	44.444
peba6_rls	27	3.138	2.730	44.444
peba2	27	3.143	2.717	40.741
pall_rls	27	3.190	2.783	44.444
peba4_ug_rls	27	3.190	2.793	40.741
pols2_ug_rls	27	3.192	2.793	44.444
peba4	27	3.207	2.798	40.741
pols2	27	3.211	2.804	37.037
peba2_ug	27	3.212	2.806	40.741
peba6_ug_rls	27	3.213	2.819	44.444
peba6	27	3.221	2.817	37.037
peba4_ug	27	3.250	2.854	37.037
pols2_ug	27	3.250	2.854	37.037
pall_ug_rls	27	3.252	2.861	37.037
pall	27	3.265	2.863	37.037
peba6_ug	27	3.271	2.878	37.037
pall_ug	27	3.310	2.919	33.333
ss_rls	27	3.577	3.261	25.926
ss_ug_rls	27	3.616	3.306	25.926
ss	27	3.634	3.317	25.926
all_rls	27	3.637	3.326	25.926
ss_ug	27	3.662	3.352	25.926
all_ug_rls	27	3.681	3.380	25.926
all	27	3.685	3.370	25.926
all_ug	27	3.709	3.402	25.926
std_rls	27	81.158	78.676	0.000
std_ml	27	81.624	79.206	0.000

VM2

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
pall_ug	27	0.985	0.728	96.296
pall	27	1.207	0.828	96.296
peba6_ug	27	1.881	1.067	88.889
peba4_ug	27	2.140	1.178	85.185
peba6	27	2.180	1.224	85.185
pols2_ug	27	2.229	1.222	85.185
ss_ug_rls	27	2.231	1.830	88.889
all_rls	27	2.246	1.956	81.481
all_ug_rls	27	2.279	2.061	77.778
ss_rls	27	2.355	1.787	96.296
ss	27	2.501	2.296	44.444
peba4	27	2.547	1.394	85.185
pols2	27	2.652	1.450	81.481
ss_ug	27	2.665	2.461	40.741
all	27	2.821	2.596	37.037
peba2_ug	27	2.904	1.661	77.778
all_ug	27	2.941	2.726	29.630
peba2	27	3.438	1.970	77.778
sb_ug	27	3.895	2.374	77.778
sb	27	4.426	2.717	70.370
pall_ug_rls	27	5.419	2.663	77.778
pall_rls	27	5.873	2.896	74.074
peba6_ug_rls	27	7.264	3.711	66.667
peba4_ug_rls	27	7.719	3.991	62.963
peba6_rls	27	7.807	4.019	66.667
pols2_ug_rls	27	7.846	4.046	62.963
peba4_rls	27	8.274	4.296	59.259
pols2_rls	27	8.466	4.383	59.259
peba2_ug_rls	27	8.730	4.644	55.556
peba2_rls	27	9.260	4.965	55.556
sb_ug_rls	27	9.769	5.474	55.556
sb_rls	27	10.410	5.896	51.852
std_rls	27	91.212	90.781	0.000
std_ml	27	91.381	90.970	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	3.628	3.339	33.333
sb_rls	27	3.790	3.528	25.926
sb_ug_rls	27	3.835	3.581	25.926
peba2_rls	27	3.898	3.665	25.926
sb	27	3.918	3.657	25.926
peba2_ug_rls	27	3.932	3.707	25.926
sb_ug	27	3.947	3.696	22.222
pols2_rls	27	3.961	3.744	25.926
peba4_rls	27	3.961	3.743	25.926
peba6_rls	27	3.991	3.778	22.222
peba2	27	4.005	3.765	22.222
pols2_ug_rls	27	4.006	3.800	22.222
peba4_ug_rls	27	4.009	3.806	18.519
peba6_ug_rls	27	4.033	3.835	18.519
peba2_ug	27	4.037	3.809	22.222
pall_rls	27	4.044	3.837	18.519
pols2	27	4.053	3.828	18.519
peba4	27	4.055	3.830	18.519
peba6	27	4.067	3.844	18.519
peba4_ug	27	4.080	3.863	18.519
pols2_ug	27	4.080	3.863	18.519
pall_ug_rls	27	4.086	3.893	14.815
peba6_ug	27	4.093	3.880	18.519
pall	27	4.095	3.876	18.519
pall_ug	27	4.132	3.922	14.815
ss_rls	27	4.344	4.215	11.111
ss	27	4.366	4.243	11.111
ss_ug_rls	27	4.366	4.243	11.111
ss_ug	27	4.382	4.265	11.111
all_rls	27	4.385	4.261	11.111
all	27	4.397	4.278	11.111
all_ug_rls	27	4.409	4.291	11.111
all_ug	27	4.421	4.309	7.407
std_rls	27	91.212	90.781	0.000
std_ml	27	91.381	90.970	0.000

PL1

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
peba4_ug_rls	27	0.535	0.402	100.000
peba2_ug_rls	27	0.545	0.409	100.000
pall_ug	27	0.546	0.393	100.000
pols2_ug_rls	27	0.546	0.413	100.000
peba6_ug_rls	27	0.553	0.428	100.000
pall_ug_rls	27	0.573	0.441	100.000
peba6_ug	27	0.577	0.420	100.000
sb_ug_rls	27	0.586	0.446	100.000
peba4_ug	27	0.596	0.435	100.000
pols2_ug	27	0.597	0.437	100.000
pall_rls	27	0.599	0.437	100.000
peba4_rls	27	0.603	0.450	100.000
peba6_rls	27	0.604	0.450	100.000
pols2_rls	27	0.606	0.456	100.000
peba2_rls	27	0.649	0.504	100.000
peba2_ug	27	0.683	0.502	100.000
ss	27	0.739	0.559	100.000
pall	27	0.761	0.580	100.000
peba6	27	0.790	0.598	100.000
sb_rls	27	0.826	0.617	100.000
pols2	27	0.827	0.620	100.000
peba4	27	0.828	0.622	100.000
all	27	0.865	0.633	100.000
ss_ug	27	0.883	0.657	100.000
sb_ug	27	0.905	0.663	100.000
peba2	27	0.958	0.715	100.000
ss_rls	27	0.996	0.754	100.000
all_ug	27	1.025	0.791	100.000
all_rls	27	1.116	0.846	92.593
ss_ug_rls	27	1.141	0.870	92.593
all_ug_rls	27	1.261	0.989	88.889
sb	27	1.262	0.917	92.593
std_rls	27	84.609	82.941	0.000
std_ml	27	85.046	83.424	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	1.232	0.830	88.889
sb	27	2.636	2.094	62.963
sb_rls	27	2.684	2.204	62.963
peba2	27	2.705	2.185	62.963
sb_ug	27	2.708	2.202	62.963
peba4	27	2.738	2.222	62.963
sb_ug_rls	27	2.738	2.280	59.259
peba2_rls	27	2.739	2.274	59.259
pols2	27	2.739	2.226	62.963
peba6	27	2.742	2.228	62.963
pall	27	2.747	2.235	62.963
peba4_rls	27	2.759	2.305	59.259
pols2_rls	27	2.765	2.313	59.259
peba6_rls	27	2.768	2.317	59.259
pall_rls	27	2.775	2.326	59.259
peba2_ug	27	2.784	2.300	62.963
peba2_ug_rls	27	2.797	2.372	59.259
peba4_ug	27	2.805	2.328	62.963
pols2_ug	27	2.811	2.337	62.963
peba6_ug	27	2.812	2.337	62.963
peba4_ug_rls	27	2.817	2.398	59.259
pols2_ug_rls	27	2.823	2.404	59.259
peba6_ug_rls	27	2.824	2.405	59.259
pall_ug	27	2.826	2.355	62.963
pall_ug_rls	27	2.833	2.415	59.259
ss	27	2.997	2.561	51.852
ss_rls	27	3.025	2.622	55.556
all	27	3.030	2.605	51.852
ss_ug	27	3.053	2.641	51.852
all_rls	27	3.075	2.685	48.148
ss_ug_rls	27	3.097	2.718	48.148
all_ug	27	3.106	2.696	51.852
all_ug_rls	27	3.129	2.754	48.148
std_rls	27	84.609	82.941	0.000
std_ml	27	85.046	83.424	0.000

PL2

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
ss_rls	27	1.072	0.856	96.296
ss_ug_rls	27	1.205	1.013	96.296
pall_ug	27	1.220	0.819	92.593
ss	27	1.269	1.024	96.296
all_rls	27	1.308	1.094	92.593
pall_ug_rls	27	1.374	0.817	92.593
ss_ug	27	1.397	1.133	88.889
all_ug_rls	27	1.448	1.250	92.593
all	27	1.495	1.206	88.889
peba6_ug	27	1.552	0.978	88.889
peba6_ug_rls	27	1.620	0.954	92.593
all_ug	27	1.654	1.356	85.185
pall	27	1.667	1.078	88.889
pall_rls	27	1.729	1.056	88.889
peba4_ug	27	1.736	1.074	88.889
pols2_ug	27	1.790	1.096	88.889
peba4_ug_rls	27	1.845	1.065	88.889
pols2_ug_rls	27	1.890	1.081	88.889
peba6	27	2.008	1.252	88.889
peba6_rls	27	2.074	1.228	88.889
peba4	27	2.201	1.356	85.185
peba4_rls	27	2.254	1.344	85.185
peba2_ug	27	2.257	1.374	88.889
pols2	27	2.276	1.376	85.185
peba2_ug_rls	27	2.308	1.350	81.481
pols2_rls	27	2.321	1.367	81.481
peba2	27	2.704	1.687	77.778
peba2_rls	27	2.896	1.706	77.778
sb_ug	27	3.055	1.993	74.074
sb_ug_rls	27	3.241	1.987	77.778
sb_rls	27	3.614	2.267	77.778
sb	27	3.684	2.389	70.370
std_rls	27	92.692	92.500	0.000
std_ml	27	92.803	92.620	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	2.767	2.272	55.556
sb	27	3.589	3.150	37.037
sb_rls	27	3.608	3.219	37.037
sb_ug	27	3.630	3.213	37.037
sb_ug_rls	27	3.636	3.269	37.037
peba2_rls	27	3.673	3.320	37.037
peba2	27	3.673	3.267	37.037
peba2_ug	27	3.704	3.317	33.333
peba4_rls	27	3.706	3.365	33.333
pols2_rls	27	3.708	3.367	33.333
pols2	27	3.709	3.320	33.333
peba4	27	3.711	3.322	33.333
peba2_ug_rls	27	3.712	3.372	33.333
peba6	27	3.714	3.326	33.333
peba6_rls	27	3.723	3.380	33.333
pall	27	3.733	3.350	29.630
pall_rls	27	3.739	3.396	29.630
peba4_ug	27	3.756	3.383	29.630
pols2_ug	27	3.757	3.383	29.630
peba6_ug	27	3.758	3.385	29.630
peba4_ug_rls	27	3.759	3.431	29.630
pols2_ug_rls	27	3.762	3.437	29.630
pall_ug	27	3.770	3.402	29.630
peba6_ug_rls	27	3.770	3.444	29.630
pall_ug_rls	27	3.779	3.456	29.630
ss	27	3.981	3.694	25.926
ss_rls	27	3.983	3.722	18.519
ss_ug	27	4.004	3.728	18.519
ss_ug_rls	27	4.008	3.754	18.519
all_rls	27	4.017	3.763	18.519
all	27	4.018	3.743	22.222
all_ug	27	4.041	3.774	18.519
all_ug_rls	27	4.044	3.800	18.519
std_rls	27	92.692	92.500	0.000
std_ml	27	92.803	92.620	0.000

IG1

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
pall_ug_rls	27	1.396	1.250	100.000
pall_ug	27	1.460	1.282	100.000
pall_rls	27	1.615	1.478	96.296
pall	27	1.705	1.524	88.889
ss	27	1.725	1.548	92.593
ss_rls	27	1.787	1.646	88.889
ss_ug	27	1.861	1.678	85.185
ss_ug_rls	27	1.891	1.735	81.481
all	27	2.137	1.950	66.667
all_rls	27	2.204	2.033	66.667
all_ug	27	2.238	2.042	62.963
all_ug_rls	27	2.313	2.122	55.556
peba6_ug	27	2.587	2.269	59.259
peba6_ug_rls	27	2.609	2.313	59.259
peba6	27	2.895	2.526	51.852
peba6_rls	27	2.900	2.559	51.852
peba4_ug_rls	27	2.971	2.630	51.852
peba4_ug	27	2.999	2.613	51.852
pols2_ug_rls	27	3.072	2.730	51.852
pols2_ug	27	3.135	2.739	51.852
peba4_rls	27	3.256	2.867	48.148
peba4	27	3.334	2.891	48.148
pols2_rls	27	3.415	3.008	48.148
pols2	27	3.462	3.006	48.148
peba2_ug	27	3.838	3.382	40.741
peba2_ug_rls	27	3.851	3.434	44.444
peba2_rls	27	4.158	3.704	33.333
peba2	27	4.264	3.706	33.333
sb_ug_rls	27	4.749	4.347	11.111
sb_ug	27	4.971	4.498	11.111
sb_rls	27	5.075	4.624	11.111
sb	27	5.359	4.839	7.407
std_rls	27	77.802	75.490	0.000
std_ml	27	78.487	76.298	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	1.326	1.069	96.296
sb	27	1.522	1.215	85.185
sb_ug	27	1.642	1.287	81.481
sb_rls	27	1.690	1.335	81.481
peba2	27	1.711	1.265	81.481
sb_ug_rls	27	1.768	1.382	81.481
peba2_ug	27	1.796	1.352	81.481
peba2_rls	27	1.823	1.369	81.481
pols2	27	1.904	1.444	77.778
peba2_ug_rls	27	1.941	1.474	74.074
peba4	27	1.954	1.485	77.778
pols2_ug	27	2.005	1.531	74.074
peba4_ug	27	2.046	1.583	74.074
pols2_rls	27	2.056	1.565	74.074
peba6	27	2.059	1.605	74.074
peba4_rls	27	2.095	1.604	70.370
pols2_ug_rls	27	2.140	1.631	70.370
peba6_ug	27	2.141	1.692	70.370
peba4_ug_rls	27	2.180	1.687	66.667
peba6_rls	27	2.204	1.742	66.667
peba6_ug_rls	27	2.299	1.835	62.963
pall	27	2.378	1.937	66.667
pall_ug	27	2.466	2.030	59.259
pall_rls	27	2.533	2.089	59.259
pall_ug_rls	27	2.583	2.141	55.556
ss	27	3.594	3.415	25.926
ss_ug	27	3.648	3.476	22.222
ss_rls	27	3.670	3.489	25.926
ss_ug_rls	27	3.716	3.535	25.926
all	27	3.775	3.615	14.815
all_ug	27	3.822	3.668	14.815
all_rls	27	3.838	3.670	14.815
all_ug_rls	27	3.873	3.711	14.815
std_rls	27	77.802	75.490	0.000
std_ml	27	78.487	76.298	0.000

IG2

rr plots for some tests by dimension, df diff at n=800

Ranking all tests aggregated over sample sizes, dims, and dfs:

Method 2000:

test	numcond	RMSE	MAD	ARR
ss_rls	27	1.072	0.856	96.296
ss_ug_rls	27	1.205	1.013	96.296
pall_ug	27	1.220	0.819	92.593
ss	27	1.269	1.024	96.296
all_rls	27	1.308	1.094	92.593
pall_ug_rls	27	1.374	0.817	92.593
ss_ug	27	1.397	1.133	88.889
all_ug_rls	27	1.448	1.250	92.593
all	27	1.495	1.206	88.889
peba6_ug	27	1.552	0.978	88.889
peba6_ug_rls	27	1.620	0.954	92.593
all_ug	27	1.654	1.356	85.185
pall	27	1.667	1.078	88.889
pall_rls	27	1.729	1.056	88.889
peba4_ug	27	1.736	1.074	88.889
pols2_ug	27	1.790	1.096	88.889
peba4_ug_rls	27	1.845	1.065	88.889
pols2_ug_rls	27	1.890	1.081	88.889
peba6	27	2.008	1.252	88.889
peba6_rls	27	2.074	1.228	88.889
peba4	27	2.201	1.356	85.185
peba4_rls	27	2.254	1.344	85.185
peba2_ug	27	2.257	1.374	88.889
pols2	27	2.276	1.376	85.185
peba2_ug_rls	27	2.308	1.350	81.481
pols2_rls	27	2.321	1.367	81.481
peba2	27	2.704	1.687	77.778
peba2_rls	27	2.896	1.706	77.778
sb_ug	27	3.055	1.993	74.074
sb_ug_rls	27	3.241	1.987	77.778
sb_rls	27	3.614	2.267	77.778
sb	27	3.684	2.389	70.370
std_rls	27	92.692	92.500	0.000
std_ml	27	92.803	92.620	0.000

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	27	2.767	2.272	55.556
sb	27	3.589	3.150	37.037
sb_rls	27	3.608	3.219	37.037
sb_ug	27	3.630	3.213	37.037
sb_ug_rls	27	3.636	3.269	37.037
peba2_rls	27	3.673	3.320	37.037
peba2	27	3.673	3.267	37.037
peba2_ug	27	3.704	3.317	33.333
peba4_rls	27	3.706	3.365	33.333
pols2_rls	27	3.708	3.367	33.333
pols2	27	3.709	3.320	33.333
peba4	27	3.711	3.322	33.333
peba2_ug_rls	27	3.712	3.372	33.333
peba6	27	3.714	3.326	33.333
peba6_rls	27	3.723	3.380	33.333
pall	27	3.733	3.350	29.630
pall_rls	27	3.739	3.396	29.630
peba4_ug	27	3.756	3.383	29.630
pols2_ug	27	3.757	3.383	29.630
peba6_ug	27	3.758	3.385	29.630
peba4_ug_rls	27	3.759	3.431	29.630
pols2_ug_rls	27	3.762	3.437	29.630
pall_ug	27	3.770	3.402	29.630
peba6_ug_rls	27	3.770	3.444	29.630
pall_ug_rls	27	3.779	3.456	29.630
ss	27	3.981	3.694	25.926
ss_rls	27	3.983	3.722	18.519
ss_ug	27	4.004	3.728	18.519
ss_ug_rls	27	4.008	3.754	18.519
all_rls	27	4.017	3.763	18.519
all	27	4.018	3.743	22.222
all_ug	27	4.041	3.774	18.519
all_ug_rls	27	4.044	3.800	18.519
std_rls	27	92.692	92.500	0.000
std_ml	27	92.803	92.620	0.000

Aggregated over all non-normal distributions, dims, sample sizes, groups

Method 2000:

test	numcond	RMSE	MAD	ARR
pall_ug	189	0.946	0.692	98.413
pall	189	1.172	0.843	96.296
ss_rls	189	1.418	1.071	96.825
peba6_ug	189	1.443	0.912	91.005
ss	189	1.482	1.147	87.831
ss_ug_rls	189	1.489	1.179	92.593
all_rls	189	1.580	1.270	88.360
ss_ug	189	1.612	1.250	85.185
peba4_ug	189	1.635	1.005	89.418
all_ug_rls	189	1.685	1.387	85.185
pols2_ug	189	1.697	1.034	89.418
peba6	189	1.704	1.100	88.889
all	189	1.727	1.344	82.011
all_ug	189	1.848	1.458	78.307
peba4	189	1.931	1.218	87.302
pols2	189	1.996	1.247	86.772
peba2_ug	189	2.121	1.293	85.714
pall_ug_rls	189	2.241	0.958	95.238
pall_rls	189	2.469	1.091	93.122
peba2	189	2.470	1.549	82.011
sb_ug	189	2.811	1.784	77.249
peba6_ug_rls	189	3.051	1.320	87.302
sb	189	3.188	2.077	70.899
peba4_ug_rls	189	3.276	1.437	85.185
peba6_rls	189	3.333	1.492	84.656
pols2_ug_rls	189	3.337	1.466	85.185
peba4_rls	189	3.564	1.614	82.540
pols2_rls	189	3.656	1.654	82.011
peba2_ug_rls	189	3.802	1.752	80.952
peba2_rls	189	4.114	1.963	78.836
sb_ug_rls	189	4.418	2.203	75.661
sb_rls	189	4.757	2.439	73.545
std_rls	189	75.201	67.147	14.286
std_ml	189	75.658	67.692	14.286

Method 2001:

test	numcond	RMSE	MAD	ARR
anova	189	2.131	1.566	76.720
sb	189	2.709	2.122	61.905
sb_rls	189	2.725	2.175	61.376
sb_ug	189	2.768	2.195	60.317
sb_ug_rls	189	2.782	2.251	59.788
peba2	189	2.796	2.208	58.730
peba2_rls	189	2.806	2.258	60.317
peba2_ug	189	2.854	2.287	58.201
pols2	189	2.856	2.281	56.614
peba4	189	2.862	2.289	57.143
peba2_ug_rls	189	2.869	2.345	57.143
pols2_rls	189	2.874	2.338	56.614
peba4_rls	189	2.878	2.344	56.085
peba6	189	2.882	2.316	56.085
peba6_rls	189	2.907	2.382	55.026
pols2_ug	189	2.911	2.356	55.026
peba4_ug	189	2.915	2.362	55.026
peba6_ug	189	2.937	2.394	54.497
pols2_ug_rls	189	2.940	2.425	55.026
pall	189	2.941	2.391	53.439
peba4_ug_rls	189	2.945	2.433	53.439
peba6_ug_rls	189	2.974	2.472	53.439
pall_rls	189	2.976	2.462	52.910
pall_ug	189	3.002	2.475	51.323
pall_ug_rls	189	3.037	2.547	50.794
ss	189	3.380	2.966	40.212
ss_rls	189	3.413	3.019	39.683
ss_ug	189	3.420	3.021	38.095
all	189	3.447	3.046	37.566
ss_ug_rls	189	3.458	3.079	37.037
all_rls	189	3.481	3.098	36.508
all_ug	189	3.491	3.102	35.979
all_ug_rls	189	3.524	3.156	34.921
std_rls	189	75.201	67.147	14.286
std_ml	189	75.658	67.692	14.286