Heritage Science

Table 3 Rotated component matrix^a

From: Factors affecting the value revitalization of Qajar religious schools in Tehran

Expert No	Component
Expert No	1	2	3	4	5	6	7	8
Expert 18	.843	.246	.121	− .194	.001	.030	− .039	.230
Expert 5	.822	− .075	− .287	.137	.092	.020	.095	− .093
Expert 9	.759	.152	− .152	.029	− .055	.345	.011	.175
Expert 22	.601	.410	.212	.179	− .057	− .275	.114	.016
Expert 15	.519	− .013	.259	− .438	− .382	.104	− .158	− .150
Expert 2	− .061	.873	.159	− .019	− .012	.113	.046	− .052
Expert 25	.297	.772	.059	− .016	.142	− .233	− .040	.142
Expert 19	.284	.767	.076	.250	− .089	.180	.208	− .013
Expert 8	− .208	− .016	.697	.037	− .101	.081	.076	− .051
Expert 21	− .138	.358	.690	.255	.335	− .095	− .033	.012
Expert 3	.473	.053	.628	.146	− .121	− .139	.109	− .166
Expert 10	.409	.295	.587	.030	.329	− .231	.033	.246
Expert 17	.323	.197	.400	.234	.265	.322	− .146	.167
Expert 7	.063	.003	.175	.811	− .260	.095	.099	.014
Expert 4	− .104	.148	.218	.692	.202	.259	.216	.066
Expert 6	.275	.056	− .020	.636	.196	.038	− .561	.060
Expert 20	.127	.058	− .083	− .021	.825	.082	.201	− .091
Expert 14	.190	.248	− .203	.147	− .561	− .097	.319	− .190
Expert 24	− .215	.158	.380	.276	.536	− .148	.237	.331
Expert 13	.036	.248	− .021	.261	− .190	.754	.097	.000
Expert 16	− .093	.185	.042	− .015	− .235	− .701	.166	− .103
Expert 1	.204	.044	.069	.171	.229	− .177	.778	− .154
Expert 11	− .055	.225	.121	.123	.058	.210	.528	.437
Expert 12	.134	− .081	− .025	.111	.091	.031	− .046	.841
Expert 23	− .096	− .328	.150	.263	.273	− .134	.138	− .433

Italic values indicate a high correlation coefficient among the experts in each factor
Extraction Method: Principal Component Analysis
^aRotation Method: Varimax with Kaiser Normalization

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