IBM SPSS Web Report - 061_TR_interests.spv

(Controls disabled by the system)

Separator Separator
A
   
Log
USE ALL.
COMPUTE filter_$=(~ (V4_6 = 2 AND COUNTRY ~= "HU") AND  ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND  ~
    (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 3).
VARIABLE LABELS filter_$ '~ (V4_6 = 2 AND COUNTRY ~= "HU") AND  ~ (V4_6 = 3 AND COUNTRY ~= '+
    '"RO-ER") AND  ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FREQUENCIES VARIABLES=V4_6
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 17-AUG-2023 10:03:32
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 3 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
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.
Syntax FREQUENCIES VARIABLES=V4_6
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,00
Elapsed Time 00:00:00,02
Frequencies
StatisticsStatistics, table, V4_6 Your place of residence: Country, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V4_6 Your place of residence: Country V4_6 Your place of residence: Country
N Valid 1083
Missing 0
Frequencies
V4_6 Your place of residence: CountryV4_6 Your place of residence: Country, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 3 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 3 Romania - TR 1083 100,0 100,0 100,0
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 10:03:40
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 = 3 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
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 00:00:00,05
Elapsed Time 00:00:00,05
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. ,693
Bartlett's Test of Sphericity Approx. Chi-Square 2071,645
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 ,522
V1_12 What special interests did you have in the field of tourism? Sightseeing 1,000 ,721
V1_13 What special interests did you have in the field of tourism? Cycling tourism 1,000 ,486
V1_14 What special interests did you have in the field of tourism? Cultural tourism 1,000 ,745
V1_15 What special interests did you have in the field of tourism? Gastrotourism 1,000 ,499
V1_16 What special interests did you have in the field of tourism? Rural tourism 1,000 ,731
V1_17 What special interests did you have in the field of tourism? Agrotourism 1,000 ,681
V1_18 What special interests did you have in the field of tourism? Ski tourism 1,000 ,592
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving 1,000 ,452
V1_20 What special interests did you have in the field of tourism? Wellness tourism 1,000 ,754
V1_21 What special interests did you have in the field of tourism? Medical tourism 1,000 ,718
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 2,711 24,645 24,645 2,711 24,645 24,645 1,837 16,703 16,703
2 1,744 15,856 40,500 1,744 15,856 40,500 1,803 16,393 33,096
3 1,301 11,832 52,332 1,301 11,832 52,332 1,753 15,940 49,036
4 1,145 10,412 62,744 1,145 10,412 62,744 1,508 13,708 62,744
5 ,814 7,402 70,146            
6 ,672 6,112 76,258            
7 ,644 5,855 82,113            
8 ,591 5,376 87,489            
9 ,519 4,719 92,208            
10 ,442 4,021 96,228            
11 ,415 3,772 100,000            
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_17 What special interests did you have in the field of tourism? Agrotourism ,671     -,439
V1_15 What special interests did you have in the field of tourism? Gastrotourism ,619 ,332    
V1_16 What special interests did you have in the field of tourism? Rural tourism ,606   -,312 -,505
V1_13 What special interests did you have in the field of tourism? Cycling tourism ,563 -,395    
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving ,457 -,452    
V1_12 What special interests did you have in the field of tourism? Sightseeing ,368 ,630   ,360
V1_14 What special interests did you have in the field of tourism? Cultural tourism ,508 ,523 -,345 ,307
V1_18 What special interests did you have in the field of tourism? Ski tourism ,343 -,467   ,432
V1_20 What special interests did you have in the field of tourism? Wellness tourism   ,393 ,716  
V1_21 What special interests did you have in the field of tourism? Medical tourism ,482   ,611  
V1_11 What special interests did you have in the field of tourism? Water sports (kayak, canoe, sailing, windsurfing, diving, etc.) ,392 -,383   ,436
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_16 What special interests did you have in the field of tourism? Rural tourism ,846      
V1_17 What special interests did you have in the field of tourism? Agrotourism ,790      
V1_14 What special interests did you have in the field of tourism? Cultural tourism   ,854    
V1_12 What special interests did you have in the field of tourism? Sightseeing   ,843    
V1_15 What special interests did you have in the field of tourism? Gastrotourism ,339 ,558    
V1_18 What special interests did you have in the field of tourism? Ski tourism     ,758  
V1_11 What special interests did you have in the field of tourism? Water sports (kayak, canoe, sailing, windsurfing, diving, etc.)     ,716  
V1_19 What special interests did you have in the field of tourism? Mountain climbing, cross-country running, hiking, caving ,337   ,564  
V1_13 What special interests did you have in the field of tourism? Cycling tourism ,417   ,553  
V1_20 What special interests did you have in the field of tourism? Wellness tourism       ,851
V1_21 What special interests did you have in the field of tourism? Medical tourism       ,805
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 6 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 ,645 ,484 ,486 ,338
2 -,210 ,672 -,625 ,338
3 -,307 -,367 ,175 ,861
4 -,668 ,424 ,586 -,176
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
IBM SPSS Web Report
X