IBM SPSS Web Report - 060_HU_interests.spv

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Separator Separator
A
   
Log
FACTOR
  /VARIABLES V1_11 V1_12 V1_13 V1_14 V1_15 V1_16 V1_17 V1_18 V1_19 V1_20 V1_21
  /MISSING LISTWISE
  /ANALYSIS V1_11 V1_12 V1_13 V1_14 V1_15 V1_16 V1_17 V1_18 V1_19 V1_20 V1_21
  /PRINT INITIAL KMO EXTRACTION ROTATION
  /FORMAT SORT BLANK(.30)
  /CRITERIA MINEIGEN(1) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /METHOD=CORRELATION.
Factor Analysis
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 15 rows
Output Created 17-AUG-2023 10:01:17
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 574
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 V1_11 V1_12 V1_13 V1_14 V1_15 V1_16 V1_17 V1_18 V1_19 V1_20 V1_21
/MISSING LISTWISE
/ANALYSIS V1_11 V1_12 V1_13 V1_14 V1_15 V1_16 V1_17 V1_18 V1_19 V1_20 V1_21
/PRINT INITIAL KMO EXTRACTION ROTATION
/FORMAT SORT BLANK(.30)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,02
Maximum Memory Required 16004 (15,629K) bytes
Factor Analysis
KMO and Bartlett's TestKMO and Bartlett's Test, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 5 rows
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,681
Bartlett's Test of Sphericity Approx. Chi-Square 1132,046
df 55
Sig. ,000
Factor Analysis
CommunalitiesCommunalities, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 14 rows
  Initial Extraction
V1_11 What special interests did you have in the field of tourism? Water sports (kayak, canoe, sailing, windsurfing, diving, etc.) 1,000 ,666
V1_12 What special interests did you have in the field of tourism? Sightseeing 1,000 ,711
V1_13 What special interests did you have in the field of tourism? Cycling tourism 1,000 ,429
V1_14 What special interests did you have in the field of tourism? Cultural tourism 1,000 ,757
V1_15 What special interests did you have in the field of tourism? Gastrotourism 1,000 ,538
V1_16 What special interests did you have in the field of tourism? Rural tourism 1,000 ,679
V1_17 What special interests did you have in the field of tourism? Agrotourism 1,000 ,665
V1_18 What special interests did you have in the field of tourism? Ski tourism 1,000 ,598
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving 1,000 ,394
V1_20 What special interests did you have in the field of tourism? Wellness tourism 1,000 ,768
V1_21 What special interests did you have in the field of tourism? Medical tourism 1,000 ,753
Extraction Method: Principal Component Analysis.
Factor Analysis
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 1 levels of row headers, table with 10 columns and 15 rows
Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2,734 24,859 24,859 2,734 24,859 24,859 1,840 16,724 16,724
2 1,725 15,682 40,541 1,725 15,682 40,541 1,836 16,693 33,417
3 1,316 11,962 52,503 1,316 11,962 52,503 1,777 16,153 49,570
4 1,181 10,737 63,240 1,181 10,737 63,240 1,504 13,670 63,240
5 ,841 7,647 70,887            
6 ,701 6,373 77,260            
7 ,614 5,585 82,844            
8 ,546 4,967 87,812            
9 ,496 4,505 92,317            
10 ,426 3,876 96,192            
11 ,419 3,808 100,000            
Extraction Method: Principal Component Analysis.
Factor Analysis
Component MatrixaComponent Matrix, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 16 rows
  Component
1 2 3 4
V1_15 What special interests did you have in the field of tourism? Gastrotourism ,645      
V1_17 What special interests did you have in the field of tourism? Agrotourism ,520 -,470 -,414  
V1_13 What special interests did you have in the field of tourism? Cycling tourism ,503 -,416    
V1_18 What special interests did you have in the field of tourism? Ski tourism ,497 -,353 ,461  
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving ,467 -,317    
V1_12 What special interests did you have in the field of tourism? Sightseeing ,508 ,599    
V1_14 What special interests did you have in the field of tourism? Cultural tourism ,462 ,521   -,519
V1_16 What special interests did you have in the field of tourism? Rural tourism ,498   -,620  
V1_11 What special interests did you have in the field of tourism? Water sports (kayak, canoe, sailing, windsurfing, diving, etc.) ,458 -,304 ,601  
V1_21 What special interests did you have in the field of tourism? Medical tourism ,464     ,678
V1_20 What special interests did you have in the field of tourism? Wellness tourism ,428 ,457   ,536
Extraction Method: Principal Component Analysis.
a. 4 components extracted.
Factor Analysis
Rotated Component MatrixaRotated Component Matrix, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 16 rows
  Component
1 2 3 4
V1_11 What special interests did you have in the field of tourism? Water sports (kayak, canoe, sailing, windsurfing, diving, etc.) ,797      
V1_18 What special interests did you have in the field of tourism? Ski tourism ,767      
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving ,539      
V1_13 What special interests did you have in the field of tourism? Cycling tourism ,481   ,434  
V1_14 What special interests did you have in the field of tourism? Cultural tourism   ,867    
V1_12 What special interests did you have in the field of tourism? Sightseeing   ,816    
V1_15 What special interests did you have in the field of tourism? Gastrotourism   ,562 ,372  
V1_16 What special interests did you have in the field of tourism? Rural tourism     ,809  
V1_17 What special interests did you have in the field of tourism? Agrotourism     ,779  
V1_21 What special interests did you have in the field of tourism? Medical tourism       ,820
V1_20 What special interests did you have in the field of tourism? Wellness tourism       ,818
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 5 iterations.
Factor Analysis
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 7 rows
Component 1 2 3 4
1 ,549 ,520 ,522 ,395
2 -,491 ,658 -,426 ,379
3 ,666 -,039 -,738 ,102
4 -,119 -,543 ,037 ,830
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
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