GET
  FILE='C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav'.
DATASET NAME DataSet0 WINDOW=FRONT.
RELIABILITY
  /VARIABLES=X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Notes	
Output Created	27-Sep-2021 17:36:16	
Comments		
Input	Data	C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	349	
	Matrix Input		
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.	
	Cases Used	Statistics are based on all cases with valid data for all variables in the procedure.	
Syntax	RELIABILITY
  /VARIABLES=X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.
	
Resources	Processor Time	00:00:00.016	
	Elapsed Time	00:00:00.023	

[DataSet1] C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav

Scale: ALL VARIABLES

Case Processing Summary	
		N	%	
Cases	Valid	349	100.0	
	Excludeda	0	.0	
	Total	349	100.0	
a. Listwise deletion based on all variables in the procedure.	

Reliability Statistics	
Cronbach's Alpha	N of Items	
.924	29	

Item-Total Statistics	
	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item-Total Correlation	Cronbach's Alpha if Item Deleted	
X1	95.31	267.629	.375	.924	
X2	95.28	267.586	.379	.924	
X3	95.47	266.485	.388	.924	
X4	95.47	262.422	.488	.922	
X5	95.23	261.968	.534	.921	
X6	95.19	263.700	.521	.921	
X7	95.10	269.639	.350	.924	
X8	95.54	263.341	.557	.921	
X9	95.57	263.872	.522	.921	
X10	95.70	259.560	.566	.921	
X11	95.59	260.398	.602	.920	
X12	95.36	262.450	.586	.921	
X13	95.35	262.073	.622	.920	
X14	95.51	261.308	.593	.920	
X15	95.56	264.431	.546	.921	
X16	95.17	267.043	.437	.923	
X17	95.22	264.447	.549	.921	
X18	95.52	261.693	.535	.921	
X19	95.45	263.691	.519	.921	
X20	95.44	264.029	.525	.921	
X21	95.32	264.195	.560	.921	
X22	95.28	264.461	.511	.922	
X23	95.39	261.958	.609	.920	
X24	95.39	262.072	.632	.920	
X25	95.26	266.062	.521	.921	
X26	95.30	262.944	.623	.920	
X27	95.55	263.628	.514	.922	
X28	95.55	263.013	.590	.921	
X29	95.63	265.160	.482	.922	

RELIABILITY
  /VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Notes	
Output Created	27-Sep-2021 17:36:43	
Comments		
Input	Data	C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	349	
	Matrix Input		
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.	
	Cases Used	Statistics are based on all cases with valid data for all variables in the procedure.	
Syntax	RELIABILITY
  /VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.
	
Resources	Processor Time	00:00:00.015	
	Elapsed Time	00:00:00.015	

[DataSet1] C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav

Scale: ALL VARIABLES

Case Processing Summary	
		N	%	
Cases	Valid	349	100.0	
	Excludeda	0	.0	
	Total	349	100.0	
a. Listwise deletion based on all variables in the procedure.	

Reliability Statistics	
Cronbach's Alpha	N of Items	
.909	21	

Item-Total Statistics	
	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item-Total Correlation	Cronbach's Alpha if Item Deleted	
Y1	63.64	164.196	.419	.908	
Y2	63.65	163.194	.491	.906	
Y3	64.21	159.928	.541	.905	
Y4	64.30	157.760	.574	.904	
Y5	64.20	157.731	.598	.904	
Y6	63.74	160.176	.573	.904	
Y7	64.01	160.997	.539	.905	
Y8	64.19	161.516	.529	.905	
Y9	64.21	158.733	.587	.904	
Y10	63.97	158.013	.631	.903	
Y11	64.02	157.663	.623	.903	
Y12	63.94	157.640	.635	.903	
Y13	64.38	158.299	.623	.903	
Y14	64.21	160.982	.520	.906	
Y15	64.16	161.587	.488	.906	
Y16	63.97	161.002	.509	.906	
Y17	63.71	162.570	.454	.907	
Y18	63.73	160.805	.549	.905	
Y19	63.84	161.740	.498	.906	
Y20	63.54	164.433	.439	.907	
Y21	63.81	162.026	.523	.905	

FACTOR
  /VARIABLES X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /MISSING LISTWISE
  /ANALYSIS X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /PRINT INITIAL KMO AIC ROTATION
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=CORRELATION.

 - - - - - - - - - - - - - - - - - - - - - - - -   F A C T O R   A N A L Y S I S   - - - - - - - - - - - - - - - - - - - - - - - -

Factor Analysis

Notes	
Output Created	27-Sep-2021 18:32:52	
Comments		
Input	Data	C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	349	
Missing Value Handling	Definition of Missing	MISSING=EXCLUDE: User-defined missing values are treated as missing.	
	Cases Used	LISTWISE: Statistics are based on cases with no missing values for any variable used.	
Syntax	FACTOR
  /VARIABLES X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /MISSING LISTWISE
  /ANALYSIS X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25 X26 X27 X28 X29
  /PRINT INITIAL KMO AIC ROTATION
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=CORRELATION.
	
Resources	Processor Time	00:00:00.219	
	Elapsed Time	00:00:00.674	
	Maximum Memory Required	98372 (96.066K) bytes	

[DataSet1] C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav

KMO and Bartlett's Test	
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.	.890	
Bartlett's Test of Sphericity	Approx. Chi-Square	4.881E3	
	df	406	
	Sig.	.000	

Anti-image Matrices	
		X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15	X16	X17	X18	X19	X20	X21	X22	X23	X24	X25	X26	X27	X28	X29	
Anti-image Covariance	X1	.527	-.196	-.113	-.077	-.031	.016	-.069	.001	.012	-.051	.067	-.042	-.008	.088	.029	.050	-.068	-.044	.093	-.004	.021	-.037	-.040	.023	.048	-.063	-.070	-.019	.028	
	X2	-.196	.548	-.172	.025	.013	-.059	-.037	.059	.018	.016	-.057	.023	-.005	-.041	.016	.012	.032	-.017	-.009	.005	-.044	-.010	.033	-.008	.020	-.025	.008	.003	-.029	
	X3	-.113	-.172	.567	-.092	-.028	.040	.058	-.063	.030	.005	-.055	-.005	-.025	-.021	.007	-.010	-.035	.009	.015	.066	-.020	-.017	.008	.021	-.066	.012	.053	.035	-.060	
	X4	-.077	.025	-.092	.523	-.027	-.103	.057	-.009	.017	-.136	.029	-.027	.020	-.060	-.011	-.051	.091	.014	-.067	.043	-.027	-.004	.004	-.022	-.020	-.033	.016	.021	.022	
	X5	-.031	.013	-.028	-.027	.379	-.211	-.073	.003	.031	-.023	-.017	.014	.009	-.065	-.053	.011	-.010	.024	-.037	.038	-.046	.050	.018	-.028	-.006	.018	-.003	.018	-.019	
	X6	.016	-.059	.040	-.103	-.211	.353	-.012	-.015	-.029	.015	.039	-.031	-.010	.043	.010	-.056	-.062	.000	.002	.001	.030	-.030	-.039	.035	.013	-.045	.053	-.017	-.025	
	X7	-.069	-.037	.058	.057	-.073	-.012	.680	-.087	-.048	.036	-.055	.032	.053	-.070	-.008	-.091	.012	.056	-.048	.053	.035	-.090	-.020	.024	-.087	-.040	.013	.048	.029	
	X8	.001	.059	-.063	-.009	.003	-.015	-.087	.541	-.122	-.023	.001	.047	-.059	.044	-.007	.011	-.088	-.041	.032	-.065	-.015	.038	-.029	-.037	.115	-.076	.024	-.067	-.022	
	X9	.012	.018	.030	.017	.031	-.029	-.048	-.122	.464	-.140	-.095	-.037	-.074	-.054	.073	-.036	.009	.049	-.034	-.023	-.023	.102	.015	.006	-.088	.026	.014	.024	-.018	
	X10	-.051	.016	.005	-.136	-.023	.015	.036	-.023	-.140	.463	-.104	.053	.063	-.041	-.104	-.032	.029	-.046	-.016	-.006	.026	-.046	.043	.026	-.040	.008	-.006	-.022	-.012	
	X11	.067	-.057	-.055	.029	-.017	.039	-.055	.001	-.095	-.104	.422	-.125	.008	.009	-.048	.047	-.027	-.057	.055	.017	-.018	-.035	-.060	.030	.049	-.006	-.079	-.042	.018	
	X12	-.042	.023	-.005	-.027	.014	-.031	.032	.047	-.037	.053	-.125	.444	-.145	-.037	.009	.022	-.040	.066	-.012	-.020	-.034	.019	.026	-.090	-.006	.053	-.047	-.010	.004	
	X13	-.008	-.005	-.025	.020	.009	-.010	.053	-.059	-.074	.063	.008	-.145	.394	-.107	-.117	-.063	.067	-.065	-.013	-.010	.037	-.094	-.014	.058	-.038	-.033	.022	-.010	.016	
	X14	.088	-.041	-.021	-.060	-.065	.043	-.070	.044	-.054	-.041	.009	-.037	-.107	.445	-.076	.043	-.118	-.002	.032	-.032	.040	.051	.027	-.026	.053	-.046	-.016	-.057	.005	
	X15	.029	.016	.007	-.011	-.053	.010	-.008	-.007	.073	-.104	-.048	.009	-.117	-.076	.503	-.019	.010	.017	.032	-.075	.002	.034	-.042	-.018	.018	.049	.002	-.032	-.047	
	X16	.050	.012	-.010	-.051	.011	-.056	-.091	.011	-.036	-.032	.047	.022	-.063	.043	-.019	.602	-.142	.003	.023	.042	-.019	-.053	-.019	-.018	-.002	-.041	-.034	-.015	.077	
	X17	-.068	.032	-.035	.091	-.010	-.062	.012	-.088	.009	.029	-.027	-.040	.067	-.118	.010	-.142	.447	-.098	-.104	.012	-.042	-.049	.012	.002	-.051	.041	.024	.015	.048	
	X18	-.044	-.017	.009	.014	.024	.000	.056	-.041	.049	-.046	-.057	.066	-.065	-.002	.017	.003	-.098	.553	-.145	-.049	-.051	.044	.038	-.022	-.041	-.009	.011	-.040	-.007	
	X19	.093	-.009	.015	-.067	-.037	.002	-.048	.032	-.034	-.016	.055	-.012	-.013	.032	.032	.023	-.104	-.145	.511	-.070	.038	-.087	-.049	-.046	.076	.005	-.056	-.023	.009	
	X20	-.004	.005	.066	.043	.038	.001	.053	-.065	-.023	-.006	.017	-.020	-.010	-.032	-.075	.042	.012	-.049	-.070	.447	-.126	-.103	-.013	-.041	.036	-.043	.003	.015	-.024	
	X21	.021	-.044	-.020	-.027	-.046	.030	.035	-.015	-.023	.026	-.018	-.034	.037	.040	.002	-.019	-.042	-.051	.038	-.126	.488	-.145	.000	-.017	-.053	-.002	-.065	.008	.038	
	X22	-.037	-.010	-.017	-.004	.050	-.030	-.090	.038	.102	-.046	-.035	.019	-.094	.051	.034	-.053	-.049	.044	-.087	-.103	-.145	.455	-.019	-.039	.042	.009	.057	-.019	-.029	
	X23	-.040	.033	.008	.004	.018	-.039	-.020	-.029	.015	.043	-.060	.026	-.014	.027	-.042	-.019	.012	.038	-.049	-.013	.000	-.019	.466	-.124	-.069	-.045	-.025	-.069	.007	
	X24	.023	-.008	.021	-.022	-.028	.035	.024	-.037	.006	.026	.030	-.090	.058	-.026	-.018	-.018	.002	-.022	-.046	-.041	-.017	-.039	-.124	.387	-.130	-.053	-.025	-.009	.013	
	X25	.048	.020	-.066	-.020	-.006	.013	-.087	.115	-.088	-.040	.049	-.006	-.038	.053	.018	-.002	-.051	-.041	.076	.036	-.053	.042	-.069	-.130	.466	-.127	-.019	.012	-.036	
	X26	-.063	-.025	.012	-.033	.018	-.045	-.040	-.076	.026	.008	-.006	.053	-.033	-.046	.049	-.041	.041	-.009	.005	-.043	-.002	.009	-.045	-.053	-.127	.473	-.054	-.003	-.013	
	X27	-.070	.008	.053	.016	-.003	.053	.013	.024	.014	-.006	-.079	-.047	.022	-.016	.002	-.034	.024	.011	-.056	.003	-.065	.057	-.025	-.025	-.019	-.054	.422	-.026	-.185	
	X28	-.019	.003	.035	.021	.018	-.017	.048	-.067	.024	-.022	-.042	-.010	-.010	-.057	-.032	-.015	.015	-.040	-.023	.015	.008	-.019	-.069	-.009	.012	-.003	-.026	.456	-.152	
	X29	.028	-.029	-.060	.022	-.019	-.025	.029	-.022	-.018	-.012	.018	.004	.016	.005	-.047	.077	.048	-.007	.009	-.024	.038	-.029	.007	.013	-.036	-.013	-.185	-.152	.425	
Anti-image Correlation	X1	.788a	-.364	-.208	-.147	-.069	.036	-.116	.003	.023	-.104	.142	-.087	-.017	.182	.057	.090	-.139	-.082	.179	-.009	.042	-.075	-.082	.051	.096	-.126	-.149	-.039	.060	
	X2	-.364	.835a	-.309	.047	.029	-.135	-.061	.108	.036	.032	-.119	.047	-.012	-.082	.030	.022	.064	-.031	-.017	.009	-.085	-.020	.065	-.018	.040	-.049	.017	.007	-.061	
	X3	-.208	-.309	.847a	-.168	-.061	.090	.094	-.113	.059	.009	-.113	-.010	-.053	-.042	.013	-.017	-.069	.016	.028	.131	-.037	-.033	.016	.046	-.129	.024	.108	.068	-.122	
	X4	-.147	.047	-.168	.884a	-.060	-.238	.096	-.016	.034	-.276	.062	-.055	.043	-.124	-.022	-.091	.189	.025	-.130	.088	-.054	-.008	.008	-.049	-.041	-.067	.034	.043	.047	
	X5	-.069	.029	-.061	-.060	.859a	-.576	-.145	.006	.074	-.055	-.042	.034	.024	-.159	-.121	.023	-.025	.053	-.084	.091	-.107	.120	.043	-.074	-.014	.043	-.008	.043	-.047	
	X6	.036	-.135	.090	-.238	-.576	.835a	-.025	-.035	-.071	.037	.102	-.078	-.026	.110	.024	-.122	-.156	.001	.004	.003	.072	-.074	-.095	.094	.033	-.110	.136	-.041	-.065	
	X7	-.116	-.061	.094	.096	-.145	-.025	.844a	-.143	-.085	.064	-.104	.058	.101	-.127	-.014	-.143	.021	.091	-.082	.097	.061	-.161	-.036	.047	-.155	-.070	.023	.085	.053	
	X8	.003	.108	-.113	-.016	.006	-.035	-.143	.905a	-.242	-.046	.003	.095	-.127	.089	-.013	.019	-.178	-.075	.062	-.133	-.029	.077	-.058	-.081	.229	-.151	.049	-.135	-.047	
	X9	.023	.036	.059	.034	.074	-.071	-.085	-.242	.874a	-.302	-.215	-.082	-.173	-.118	.151	-.067	.019	.096	-.070	-.050	-.048	.222	.032	.014	-.189	.056	.032	.052	-.041	
	X10	-.104	.032	.009	-.276	-.055	.037	.064	-.046	-.302	.888a	-.234	.118	.147	-.091	-.215	-.060	.064	-.090	-.032	-.014	.054	-.101	.092	.062	-.087	.017	-.014	-.047	-.027	
	X11	.142	-.119	-.113	.062	-.042	.102	-.104	.003	-.215	-.234	.900a	-.289	.021	.021	-.103	.094	-.063	-.119	.118	.039	-.039	-.079	-.136	.073	.110	-.013	-.186	-.095	.043	
	X12	-.087	.047	-.010	-.055	.034	-.078	.058	.095	-.082	.118	-.289	.902a	-.346	-.083	.019	.043	-.090	.133	-.024	-.044	-.073	.041	.057	-.216	-.013	.116	-.109	-.023	.010	
	X13	-.017	-.012	-.053	.043	.024	-.026	.101	-.127	-.173	.147	.021	-.346	.884a	-.255	-.263	-.130	.159	-.139	-.029	-.024	.085	-.221	-.032	.149	-.089	-.077	.054	-.024	.040	
	X14	.182	-.082	-.042	-.124	-.159	.110	-.127	.089	-.118	-.091	.021	-.083	-.255	.898a	-.160	.084	-.265	-.005	.066	-.072	.086	.113	.060	-.062	.117	-.100	-.038	-.127	.012	
	X15	.057	.030	.013	-.022	-.121	.024	-.014	-.013	.151	-.215	-.103	.019	-.263	-.160	.920a	-.034	.022	.032	.064	-.158	.004	.071	-.086	-.042	.037	.101	.004	-.067	-.102	
	X16	.090	.022	-.017	-.091	.023	-.122	-.143	.019	-.067	-.060	.094	.043	-.130	.084	-.034	.900a	-.273	.005	.041	.081	-.035	-.101	-.035	-.037	-.003	-.078	-.068	-.028	.153	
	X17	-.139	.064	-.069	.189	-.025	-.156	.021	-.178	.019	.064	-.063	-.090	.159	-.265	.022	-.273	.870a	-.197	-.217	.026	-.090	-.108	.026	.004	-.112	.088	.055	.033	.110	
	X18	-.082	-.031	.016	.025	.053	.001	.091	-.075	.096	-.090	-.119	.133	-.139	-.005	.032	.005	-.197	.918a	-.273	-.099	-.098	.088	.075	-.048	-.080	-.017	.023	-.080	-.015	
	X19	.179	-.017	.028	-.130	-.084	.004	-.082	.062	-.070	-.032	.118	-.024	-.029	.066	.064	.041	-.217	-.273	.892a	-.147	.075	-.180	-.100	-.103	.156	.010	-.121	-.048	.020	
	X20	-.009	.009	.131	.088	.091	.003	.097	-.133	-.050	-.014	.039	-.044	-.024	-.072	-.158	.081	.026	-.099	-.147	.916a	-.270	-.229	-.028	-.098	.080	-.093	.007	.034	-.056	
	X21	.042	-.085	-.037	-.054	-.107	.072	.061	-.029	-.048	.054	-.039	-.073	.085	.086	.004	-.035	-.090	-.098	.075	-.270	.914a	-.307	-.002	-.038	-.111	-.004	-.143	.016	.083	
	X22	-.075	-.020	-.033	-.008	.120	-.074	-.161	.077	.222	-.101	-.079	.041	-.221	.113	.071	-.101	-.108	.088	-.180	-.229	-.307	.860a	-.041	-.093	.092	.019	.131	-.042	-.067	
	X23	-.082	.065	.016	.008	.043	-.095	-.036	-.058	.032	.092	-.136	.057	-.032	.060	-.086	-.035	.026	.075	-.100	-.028	-.002	-.041	.941a	-.291	-.148	-.095	-.056	-.150	.015	
	X24	.051	-.018	.046	-.049	-.074	.094	.047	-.081	.014	.062	.073	-.216	.149	-.062	-.042	-.037	.004	-.048	-.103	-.098	-.038	-.093	-.291	.921a	-.306	-.123	-.061	-.021	.032	
	X25	.096	.040	-.129	-.041	-.014	.033	-.155	.229	-.189	-.087	.110	-.013	-.089	.117	.037	-.003	-.112	-.080	.156	.080	-.111	.092	-.148	-.306	.859a	-.271	-.042	.026	-.082	
	X26	-.126	-.049	.024	-.067	.043	-.110	-.070	-.151	.056	.017	-.013	.116	-.077	-.100	.101	-.078	.088	-.017	.010	-.093	-.004	.019	-.095	-.123	-.271	.937a	-.121	-.007	-.030	
	X27	-.149	.017	.108	.034	-.008	.136	.023	.049	.032	-.014	-.186	-.109	.054	-.038	.004	-.068	.055	.023	-.121	.007	-.143	.131	-.056	-.061	-.042	-.121	.886a	-.060	-.436	
	X28	-.039	.007	.068	.043	.043	-.041	.085	-.135	.052	-.047	-.095	-.023	-.024	-.127	-.067	-.028	.033	-.080	-.048	.034	.016	-.042	-.150	-.021	.026	-.007	-.060	.939a	-.346	
	X29	.060	-.061	-.122	.047	-.047	-.065	.053	-.047	-.041	-.027	.043	.010	.040	.012	-.102	.153	.110	-.015	.020	-.056	.083	-.067	.015	.032	-.082	-.030	-.436	-.346	.864a	
a. Measures of Sampling Adequacy(MSA)																												

Communalities	
	Initial	
X1	1.000	
X2	1.000	
X3	1.000	
X4	1.000	
X5	1.000	
X6	1.000	
X7	1.000	
X8	1.000	
X9	1.000	
X10	1.000	
X11	1.000	
X12	1.000	
X13	1.000	
X14	1.000	
X15	1.000	
X16	1.000	
X17	1.000	
X18	1.000	
X19	1.000	
X20	1.000	
X21	1.000	
X22	1.000	
X23	1.000	
X24	1.000	
X25	1.000	
X26	1.000	
X27	1.000	
X28	1.000	
X29	1.000	
Extraction Method: Principal Component Analysis.	

Total Variance Explained	
Component	Initial Eigenvalues	Rotation Sums of Squared Loadings	
	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	
1	9.564	32.980	32.980	4.076	14.055	14.055	
2	2.406	8.296	41.276	3.779	13.031	27.087	
3	1.898	6.545	47.820	2.724	9.394	36.481	
4	1.650	5.691	53.511	2.656	9.159	45.639	
5	1.339	4.618	58.129	2.372	8.178	53.818	
6	1.044	3.599	61.728	2.294	7.910	61.728	
7	.936	3.228	64.956				
8	.870	3.001	67.957				
9	.785	2.707	70.665				
10	.746	2.571	73.236				
11	.661	2.280	75.516				
12	.652	2.248	77.764				
13	.602	2.076	79.840				
14	.573	1.975	81.816				
15	.536	1.849	83.665				
16	.504	1.739	85.404				
17	.465	1.605	87.009				
18	.446	1.538	88.547				
19	.443	1.526	90.073				
20	.400	1.380	91.452				
21	.365	1.259	92.711				
22	.331	1.142	93.853				
23	.321	1.109	94.961				
24	.318	1.098	96.059				
25	.268	.923	96.982				
26	.258	.891	97.873				
27	.227	.784	98.657				
28	.202	.697	99.354				
29	.187	.646	100.000				
Extraction Method: Principal Component Analysis.				

Rotated Component Matrixa	
	Component	
	1	2	3	4	5	6	
X1	-.015	.116	.182	.135	.077	.776	
X2	.073	.116	.139	.044	.080	.805	
X3	.204	.028	.160	.064	.013	.759	
X4	.183	.052	.630	.123	.125	.300	
X5	.194	.096	.794	.136	.079	.170	
X6	.109	.192	.812	.156	-.015	.158	
X7	.174	.060	.338	.457	-.274	.113	
X8	.460	.333	.223	.186	.077	.016	
X9	.750	.008	.104	.309	-.011	-.021	
X10	.569	.069	.334	.064	.234	.157	
X11	.698	.187	-.043	.149	.239	.212	
X12	.621	.281	-.020	.210	.141	.142	
X13	.666	.339	.109	.114	.084	.090	
X14	.683	.161	.300	.064	.141	.029	
X15	.572	.208	.258	-.032	.361	-.031	
X16	.198	.330	.404	.354	-.311	.016	
X17	.275	.581	.316	.176	-.242	.107	
X18	.251	.608	.115	.056	.164	.106	
X19	.128	.682	.291	.085	.144	-.102	
X20	.271	.708	-.065	.106	.258	-.051	
X21	.162	.652	-.028	.284	.093	.221	
X22	.063	.757	.085	.130	.007	.208	
X23	.166	.368	.153	.574	.330	.017	
X24	.190	.437	.104	.613	.276	-.002	
X25	.200	.078	.097	.785	.142	.113	
X26	.157	.232	.235	.625	.258	.196	
X27	.284	.166	-.074	.339	.653	.119	
X28	.370	.287	.140	.139	.618	.032	
X29	.255	.087	.072	.157	.780	.131	
Extraction Method: Principal Component Analysis. 
 Rotation Method: Varimax with Kaiser Normalization.		
a. Rotation converged in 8 iterations.				

Component Transformation Matrix	
Component	1	2	3	4	5	6	
1	.558	.509	.352	.402	.294	.243	
2	-.254	-.136	.623	.037	-.508	.519	
3	.324	-.700	-.002	-.147	.448	.427	
4	-.558	.257	-.388	.207	.329	.567	
5	.237	.394	-.144	-.804	-.129	.324	
6	.390	-.107	-.562	.356	-.575	.251	
Extraction Method: Principal Component Analysis.  
 Rotation Method: Varimax with Kaiser Normalization. 		

FACTOR
  /VARIABLES Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /MISSING LISTWISE
  /ANALYSIS Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /PRINT INITIAL KMO AIC ROTATION
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=CORRELATION.

Factor Analysis

Notes	
Output Created	27-Sep-2021 18:59:29	
Comments		
Input	Data	C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav	
	Active Dataset	DataSet1	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	349	
Missing Value Handling	Definition of Missing	MISSING=EXCLUDE: User-defined missing values are treated as missing.	
	Cases Used	LISTWISE: Statistics are based on cases with no missing values for any variable used.	
Syntax	FACTOR
  /VARIABLES Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /MISSING LISTWISE
  /ANALYSIS Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Y14 Y15 Y16 Y17 Y18 Y19 Y20 Y21
  /PRINT INITIAL KMO AIC ROTATION
  /PLOT EIGEN
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=CORRELATION.
	
Resources	Processor Time	00:00:00.203	
	Elapsed Time	00:00:00.177	
	Maximum Memory Required	53124 (51.879K) bytes	

[DataSet1] C:\Users\ASUS\OneDrive\Documents\FINAL SPSS2.sav

KMO and Bartlett's Test	
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.	.879	
Bartlett's Test of Sphericity	Approx. Chi-Square	3.607E3	
	df	210	
	Sig.	.000	

Anti-image Matrices	
		Y1	Y2	Y3	Y4	Y5	Y6	Y7	Y8	Y9	Y10	Y11	Y12	Y13	Y14	Y15	Y16	Y17	Y18	Y19	Y20	Y21	
Anti-image Covariance	Y1	.616	-.194	.004	.001	-.009	-.092	.001	.008	-.019	-.014	-.069	-.006	-.027	.109	.000	-.009	.052	-.019	.042	-.051	-.032	
	Y2	-.194	.564	-.055	-.057	-.010	-.039	-.028	-.020	.077	-.065	.016	.006	.045	-.011	.008	-.039	-.072	-.014	.002	-.065	.010	
	Y3	.004	-.055	.494	-.108	-.105	.040	.027	-.007	-.084	-.003	-.004	.021	-.056	.006	-.052	.026	.008	-.032	.052	.032	-.083	
	Y4	.001	-.057	-.108	.422	-.063	-.064	.007	-.080	-.087	-.013	.026	.002	-.065	-.053	.014	.032	.053	-.019	.015	.012	.008	
	Y5	-.009	-.010	-.105	-.063	.400	-.148	.010	-.134	.025	.057	-.092	-.008	-.037	-.026	.028	.011	-.025	.056	-.067	.057	.016	
	Y6	-.092	-.039	.040	-.064	-.148	.494	-.066	.025	.046	-.034	.027	-.069	.033	-.009	-.077	.043	.029	-.036	.056	-.105	-.013	
	Y7	.001	-.028	.027	.007	.010	-.066	.513	-.117	-.168	-.023	-.071	.059	.009	.000	-.058	-.004	-.040	.038	-.058	.065	-.003	
	Y8	.008	-.020	-.007	-.080	-.134	.025	-.117	.465	-.031	-.056	.133	-.065	-.056	-.019	.066	-.020	.029	-.032	.019	-.041	.004	
	Y9	-.019	.077	-.084	-.087	.025	.046	-.168	-.031	.420	8.149E-5	-.045	-.076	-.033	-.006	.008	-.010	.009	-.006	-.018	.043	-.055	
	Y10	-.014	-.065	-.003	-.013	.057	-.034	-.023	-.056	8.149E-5	.471	-.135	-.081	-.037	-.072	.052	-.049	.036	.004	.026	.002	-.064	
	Y11	-.069	.016	-.004	.026	-.092	.027	-.071	.133	-.045	-.135	.375	-.140	-.014	.025	-.065	.030	-.058	.001	-.014	.004	-.003	
	Y12	-.006	.006	.021	.002	-.008	-.069	.059	-.065	-.076	-.081	-.140	.414	-.006	-.006	.040	-.065	-.041	-.007	.005	-.068	.074	
	Y13	-.027	.045	-.056	-.065	-.037	.033	.009	-.056	-.033	-.037	-.014	-.006	.458	-.069	-.097	-.065	-.056	.023	-.050	.043	.011	
	Y14	.109	-.011	.006	-.053	-.026	-.009	.000	-.019	-.006	-.072	.025	-.006	-.069	.535	-.147	-.085	.001	-.060	.076	-.023	-.002	
	Y15	.000	.008	-.052	.014	.028	-.077	-.058	.066	.008	.052	-.065	.040	-.097	-.147	.487	-.169	.026	.008	-.068	.057	-.015	
	Y16	-.009	-.039	.026	.032	.011	.043	-.004	-.020	-.010	-.049	.030	-.065	-.065	-.085	-.169	.534	.048	-.026	-.003	-.110	.037	
	Y17	.052	-.072	.008	.053	-.025	.029	-.040	.029	.009	.036	-.058	-.041	-.056	.001	.026	.048	.496	-.158	.050	-.078	-.125	
	Y18	-.019	-.014	-.032	-.019	.056	-.036	.038	-.032	-.006	.004	.001	-.007	.023	-.060	.008	-.026	-.158	.395	-.192	-.036	-.009	
	Y19	.042	.002	.052	.015	-.067	.056	-.058	.019	-.018	.026	-.014	.005	-.050	.076	-.068	-.003	.050	-.192	.435	-.078	-.127	
	Y20	-.051	-.065	.032	.012	.057	-.105	.065	-.041	.043	.002	.004	-.068	.043	-.023	.057	-.110	-.078	-.036	-.078	.412	-.100	
	Y21	-.032	.010	-.083	.008	.016	-.013	-.003	.004	-.055	-.064	-.003	.074	.011	-.002	-.015	.037	-.125	-.009	-.127	-.100	.491	
Anti-image Correlation	Y1	.870a	-.329	.007	.003	-.019	-.167	.003	.015	-.038	-.026	-.144	-.011	-.051	.189	.001	-.015	.093	-.038	.081	-.101	-.057	
	Y2	-.329	.892a	-.104	-.118	-.021	-.073	-.053	-.039	.158	-.125	.035	.012	.089	-.020	.016	-.072	-.137	-.030	.004	-.134	.018	
	Y3	.007	-.104	.907a	-.237	-.237	.080	.053	-.014	-.185	-.007	-.010	.046	-.118	.011	-.106	.051	.016	-.071	.113	.070	-.168	
	Y4	.003	-.118	-.237	.918a	-.152	-.139	.016	-.180	-.207	-.028	.066	.005	-.147	-.112	.031	.067	.116	-.048	.034	.028	.018	
	Y5	-.019	-.021	-.237	-.152	.865a	-.332	.021	-.310	.061	.131	-.238	-.020	-.086	-.056	.063	.024	-.057	.140	-.161	.140	.037	
	Y6	-.167	-.073	.080	-.139	-.332	.876a	-.131	.053	.101	-.071	.062	-.153	.069	-.018	-.157	.084	.058	-.080	.122	-.232	-.026	
	Y7	.003	-.053	.053	.016	.021	-.131	.879a	-.239	-.361	-.047	-.161	.129	.019	.000	-.116	-.007	-.079	.084	-.122	.142	-.007	
	Y8	.015	-.039	-.014	-.180	-.310	.053	-.239	.855a	-.070	-.120	.319	-.148	-.120	-.038	.139	-.041	.061	-.075	.042	-.095	.009	
	Y9	-.038	.158	-.185	-.207	.061	.101	-.361	-.070	.894a	.000	-.114	-.182	-.075	-.012	.018	-.022	.019	-.014	-.042	.104	-.122	
	Y10	-.026	-.125	-.007	-.028	.131	-.071	-.047	-.120	.000	.916a	-.322	-.183	-.081	-.144	.108	-.098	.074	.009	.058	.005	-.132	
	Y11	-.144	.035	-.010	.066	-.238	.062	-.161	.319	-.114	-.322	.852a	-.356	-.034	.057	-.152	.067	-.134	.002	-.035	.010	-.006	
	Y12	-.011	.012	.046	.005	-.020	-.153	.129	-.148	-.182	-.183	-.356	.896a	-.015	-.013	.088	-.138	-.090	-.016	.012	-.165	.164	
	Y13	-.051	.089	-.118	-.147	-.086	.069	.019	-.120	-.075	-.081	-.034	-.015	.936a	-.140	-.204	-.132	-.117	.055	-.112	.098	.023	
	Y14	.189	-.020	.011	-.112	-.056	-.018	.000	-.038	-.012	-.144	.057	-.013	-.140	.897a	-.289	-.159	.001	-.131	.157	-.048	-.003	
	Y15	.001	.016	-.106	.031	.063	-.157	-.116	.139	.018	.108	-.152	.088	-.204	-.289	.835a	-.331	.054	.019	-.147	.126	-.030	
	Y16	-.015	-.072	.051	.067	.024	.084	-.007	-.041	-.022	-.098	.067	-.138	-.132	-.159	-.331	.879a	.093	-.057	-.006	-.234	.072	
	Y17	.093	-.137	.016	.116	-.057	.058	-.079	.061	.019	.074	-.134	-.090	-.117	.001	.054	.093	.848a	-.356	.109	-.172	-.252	
	Y18	-.038	-.030	-.071	-.048	.140	-.080	.084	-.075	-.014	.009	.002	-.016	.055	-.131	.019	-.057	-.356	.858a	-.462	-.089	-.021	
	Y19	.081	.004	.113	.034	-.161	.122	-.122	.042	-.042	.058	-.035	.012	-.112	.157	-.147	-.006	.109	-.462	.817a	-.184	-.275	
	Y20	-.101	-.134	.070	.028	.140	-.232	.142	-.095	.104	.005	.010	-.165	.098	-.048	.126	-.234	-.172	-.089	-.184	.844a	-.223	
	Y21	-.057	.018	-.168	.018	.037	-.026	-.007	.009	-.122	-.132	-.006	.164	.023	-.003	-.030	.072	-.252	-.021	-.275	-.223	.885a	
a. Measures of Sampling Adequacy(MSA)																				

Communalities	
	Initial	
Y1	1.000	
Y2	1.000	
Y3	1.000	
Y4	1.000	
Y5	1.000	
Y6	1.000	
Y7	1.000	
Y8	1.000	
Y9	1.000	
Y10	1.000	
Y11	1.000	
Y12	1.000	
Y13	1.000	
Y14	1.000	
Y15	1.000	
Y16	1.000	
Y17	1.000	
Y18	1.000	
Y19	1.000	
Y20	1.000	
Y21	1.000	
Extraction Method: Principal Component Analysis.	

Total Variance Explained	
Component	Initial Eigenvalues	Rotation Sums of Squared Loadings	
	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	
1	7.511	35.766	35.766	3.658	17.417	17.417	
2	2.502	11.914	47.680	3.061	14.574	31.991	
3	1.531	7.292	54.972	2.595	12.357	44.348	
4	1.260	6.002	60.974	2.363	11.251	55.599	
5	1.085	5.166	66.140	2.214	10.541	66.140	
6	.825	3.927	70.067				
7	.714	3.402	73.469				
8	.675	3.212	76.681				
9	.596	2.840	79.522				
10	.539	2.565	82.087				
11	.477	2.272	84.358				
12	.468	2.226	86.585				
13	.454	2.160	88.745				
14	.379	1.805	90.550				
15	.360	1.713	92.262				
16	.329	1.567	93.829				
17	.313	1.489	95.319				
18	.297	1.413	96.732				
19	.257	1.223	97.955				
20	.235	1.119	99.074				
21	.194	.926	100.000				
Extraction Method: Principal Component Analysis.				

Rotated Component Matrixa	
	Component	
	1	2	3	4	5	
Y1	.111	.115	.679	-.072	.273	
Y2	.189	.250	.717	.079	.003	
Y3	.739	.134	.046	.125	.155	
Y4	.802	.011	.210	.177	.074	
Y5	.723	.044	.297	.098	.190	
Y6	.340	.119	.648	.161	.137	
Y7	.519	.160	-.050	.133	.501	
Y8	.728	.075	.260	.139	-.021	
Y9	.598	.178	-.110	.141	.544	
Y10	.207	.129	.416	.285	.560	
Y11	.135	.224	.255	.170	.803	
Y12	.165	.164	.482	.242	.563	
Y13	.546	.143	-.003	.499	.271	
Y14	.334	.084	.093	.736	.053	
Y15	.205	.144	-.067	.739	.233	
Y16	.032	.173	.254	.776	.128	
Y17	.012	.725	.213	.016	.208	
Y18	.102	.793	.213	.208	.041	
Y19	.138	.787	.003	.179	.122	
Y20	-.130	.600	.575	.170	-.023	
Y21	.197	.763	.116	.030	.156	
Extraction Method: Principal Component Analysis. 
 Rotation Method: Varimax with Kaiser Normalization.	
a. Rotation converged in 6 iterations.			

Component Transformation Matrix	
Component	1	2	3	4	5	
1	.553	.440	.406	.402	.417	
2	-.628	.669	.361	-.141	-.088	
3	-.142	.378	-.738	.541	-.012	
4	.460	.460	-.341	-.668	-.118	
5	.260	.073	.208	.281	-.897	
Extraction Method: Principal Component Analysis.  
 Rotation Method: Varimax with Kaiser Normalization.