IBM SPSS Web Report - 050_MIII_descrD_HU.spv

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Separator Separator
A
   
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:45
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 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 00:00:00,02
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 574
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 2 Hungary 574 100,0 100,0 100,0
Log

FREQUENCIES VARIABLES=V3_1
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:45
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_1
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,36
Elapsed Time 00:00:00,42
Frequencies
StatisticsStatistics, table, V3_1 How has the COVID pandemic changed your travel habits?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_1 How has the COVID pandemic changed your travel habits? V3_1 How has the COVID pandemic changed your travel habits?
N Valid 569
Missing 5
Frequencies
V3_1 How has the COVID pandemic changed your travel habits?V3_1 How has the COVID pandemic changed your travel habits?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 it is not affected at all 127 22,1 22,3 22,3
2 36 6,3 6,3 28,6
3 48 8,4 8,4 37,1
4 42 7,3 7,4 44,5
5 54 9,4 9,5 54,0
6 83 14,5 14,6 68,5
7 40 7,0 7,0 75,6
8 57 9,9 10,0 85,6
9 20 3,5 3,5 89,1
10 reduced it very significantly 62 10,8 10,9 100,0
Total 569 99,1 100,0  
Missing System 5 ,9    
Total 574 100,0    
Frequencies
How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 10,896 How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 10,896 How has the COVID pandemic changed your travel habits?: 9 Percent: 3,5149 How has the COVID pandemic changed your travel habits?: 9 Percent: 3,5149 How has the COVID pandemic changed your travel habits?: 8 Percent: 10,018 How has the COVID pandemic changed your travel habits?: 8 Percent: 10,018 How has the COVID pandemic changed your travel habits?: 7 Percent: 7,0299 How has the COVID pandemic changed your travel habits?: 7 Percent: 7,0299 How has the COVID pandemic changed your travel habits?: 6 Percent: 14,587 How has the COVID pandemic changed your travel habits?: 6 Percent: 14,587 How has the COVID pandemic changed your travel habits?: 5 Percent: 9,4903 How has the COVID pandemic changed your travel habits?: 5 Percent: 9,4903 How has the COVID pandemic changed your travel habits?: 4 Percent: 7,3814 How has the COVID pandemic changed your travel habits?: 4 Percent: 7,3814 How has the COVID pandemic changed your travel habits?: 3 Percent: 8,4359 How has the COVID pandemic changed your travel habits?: 3 Percent: 8,4359 How has the COVID pandemic changed your travel habits?: 2 Percent: 6,3269 How has the COVID pandemic changed your travel habits?: 2 Percent: 6,3269 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 22,320 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 22,320 0 5 10 15 20 25 25 20 15 10 5 0 it is not affected at all 2 3 4 5 6 7 8 9 reduced it very significantly reduced it very significantly 9 8 7 6 5 4 3 2 it is not affected at all
Log

EXAMINE VARIABLES=V3_1
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:46
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 User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_1
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_1 How has the COVID pandemic changed your travel habits? 569 99,1% 5 0,9% 574 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_1 How has the COVID pandemic changed your travel habits? Mean 4,95 ,127
95% Confidence Interval for Mean Lower Bound 4,70  
Upper Bound 5,20  
5% Trimmed Mean 4,89  
Median 5,00  
Variance 9,180  
Std. Deviation 3,030  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,144 ,102
Kurtosis -1,204 ,204
Log

FREQUENCIES VARIABLES=V3_2
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:46
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_2
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,27
Frequencies
StatisticsStatistics, table, V3_2 How have your travels changed since opening? (2021 main season), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_2 How have your travels changed since opening? (2021 main season) V3_2 How have your travels changed since opening? (2021 main season)
N Valid 571
Missing 3
Frequencies
V3_2 How have your travels changed since opening? (2021 main season)V3_2 How have your travels changed since opening? (2021 main season), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 I traveled less 84 14,6 14,7 14,7
2 36 6,3 6,3 21,0
3 78 13,6 13,7 34,7
4 54 9,4 9,5 44,1
5 88 15,3 15,4 59,5
6 96 16,7 16,8 76,4
7 32 5,6 5,6 82,0
8 36 6,3 6,3 88,3
9 17 3,0 3,0 91,2
10 I traveled more 50 8,7 8,8 100,0
Total 571 99,5 100,0  
Missing System 3 ,5    
Total 574 100,0    
Frequencies
How have your travels changed since opening? (2021 main season): I traveled more Percent: 8,7566 How have your travels changed since opening? (2021 main season): I traveled more Percent: 8,7566 How have your travels changed since opening? (2021 main season): 9 Percent: 2,9772 How have your travels changed since opening? (2021 main season): 9 Percent: 2,9772 How have your travels changed since opening? (2021 main season): 8 Percent: 6,3047 How have your travels changed since opening? (2021 main season): 8 Percent: 6,3047 How have your travels changed since opening? (2021 main season): 7 Percent: 5,6042 How have your travels changed since opening? (2021 main season): 7 Percent: 5,6042 How have your travels changed since opening? (2021 main season): 6 Percent: 16,813 How have your travels changed since opening? (2021 main season): 6 Percent: 16,813 How have your travels changed since opening? (2021 main season): 5 Percent: 15,412 How have your travels changed since opening? (2021 main season): 5 Percent: 15,412 How have your travels changed since opening? (2021 main season): 4 Percent: 9,4571 How have your travels changed since opening? (2021 main season): 4 Percent: 9,4571 How have your travels changed since opening? (2021 main season): 3 Percent: 13,660 How have your travels changed since opening? (2021 main season): 3 Percent: 13,660 How have your travels changed since opening? (2021 main season): 2 Percent: 6,3047 How have your travels changed since opening? (2021 main season): 2 Percent: 6,3047 How have your travels changed since opening? (2021 main season): I traveled less Percent: 14,711 How have your travels changed since opening? (2021 main season): I traveled less Percent: 14,711 0 5 10 15 20 20 15 10 5 0 I traveled less 2 3 4 5 6 7 8 9 I traveled more I traveled more 9 8 7 6 5 4 3 2 I traveled less
Log

EXAMINE VARIABLES=V3_2
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:46
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 User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_2
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_2 How have your travels changed since opening? (2021 main season) 571 99,5% 3 0,5% 574 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_2 How have your travels changed since opening? (2021 main season) Mean 4,88 ,112
95% Confidence Interval for Mean Lower Bound 4,66  
Upper Bound 5,10  
5% Trimmed Mean 4,81  
Median 5,00  
Variance 7,186  
Std. Deviation 2,681  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 3  
Skewness ,283 ,102
Kurtosis -,751 ,204
Log

FREQUENCIES VARIABLES=V3_3
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:46
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_3
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,28
Elapsed Time 00:00:00,28
Frequencies
StatisticsStatistics, table, V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?
N Valid 573
Missing 1
Frequencies
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather domestic 225 39,2 39,3 39,3
2 30 5,2 5,2 44,5
3 52 9,1 9,1 53,6
4 38 6,6 6,6 60,2
5 46 8,0 8,0 68,2
6 46 8,0 8,0 76,3
7 24 4,2 4,2 80,5
8 27 4,7 4,7 85,2
9 23 4,0 4,0 89,2
10 rather abroad 62 10,8 10,8 100,0
Total 573 99,8 100,0  
Missing System 1 ,2    
Total 574 100,0    
Frequencies
How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 10,820 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 10,820 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 4,0140 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 4,0140 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 4,7120 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 4,7120 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 4,1885 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 4,1885 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 8,0279 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 8,0279 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 8,0279 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 8,0279 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 6,6318 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 6,6318 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 9,0750 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 9,0750 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 5,2356 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 5,2356 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 39,267 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 39,267 0 10 20 30 40 40 30 20 10 0 rather domestic 2 3 4 5 6 7 8 9 rather abroad rather abroad 9 8 7 6 5 4 3 2 rather domestic
Frequencies
How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,311 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,311 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 4,3630 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 4,3630 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 8,7260 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 8,7260 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 5,0611 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 5,0611 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 7,3298 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 7,3298 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 8,9005 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 8,9005 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 6,4572 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 6,4572 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 6,4572 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 6,4572 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 5,5846 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 5,5846 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 32,810 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 32,810 0 10 20 30 40 40 30 20 10 0 rather domestic 2 3 4 5 6 7 8 9 rather abroad rather abroad 9 8 7 6 5 4 3 2 rather domestic
Log

EXAMINE VARIABLES=V3_3
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:47
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 User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_3
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? 573 99,8% 1 0,2% 574 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? Mean 4,03 ,134
95% Confidence Interval for Mean Lower Bound 3,77  
Upper Bound 4,29  
5% Trimmed Mean 3,87  
Median 3,00  
Variance 10,282  
Std. Deviation 3,207  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,646 ,102
Kurtosis -,984 ,204
Log

FREQUENCIES VARIABLES=V3_4
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:47
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_4
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,23
Elapsed Time 00:00:00,23
Frequencies
StatisticsStatistics, table, V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)
N Valid 572
Missing 2
Frequencies
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather a long rest (min. 6 nights) 93 16,2 16,3 16,3
2 27 4,7 4,7 21,0
3 46 8,0 8,0 29,0
4 38 6,6 6,6 35,7
5 73 12,7 12,8 48,4
6 79 13,8 13,8 62,2
7 53 9,2 9,3 71,5
8 51 8,9 8,9 80,4
9 29 5,1 5,1 85,5
10 more short (one day) 83 14,5 14,5 100,0
Total 572 99,7 100,0  
Missing System 2 ,3    
Total 574 100,0    
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 14,510 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 14,510 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 5,0699 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 5,0699 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 8,9161 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 8,9161 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 9,2657 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 9,2657 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 13,811 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 13,811 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 12,762 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 12,762 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 6,6434 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 6,6434 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 8,0420 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 8,0420 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 4,7203 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 4,7203 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 16,259 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 16,259 0 5 10 15 20 20 15 10 5 0 rather a long rest (min. 6 nights) 2 3 4 5 6 7 8 9 more short (one day) more short (one day) 9 8 7 6 5 4 3 2 rather a long rest (min. 6 nights)
Frequencies
How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 13,287 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 13,287 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 6,6434 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 6,6434 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 9,6154 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 9,6154 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 6,4685 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 6,4685 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 8,5664 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 8,5664 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 8,3916 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 8,3916 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 8,5664 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 8,5664 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 11,888 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 11,888 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 6,8182 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 6,8182 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 19,755 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 19,755 0 5 10 15 20 20 15 10 5 0 rather a long rest (min. 6 nights) 2 3 4 5 6 7 8 9 more short (one day) more short (one day) 9 8 7 6 5 4 3 2 rather a long rest (min. 6 nights)
Log

EXAMINE VARIABLES=V3_4
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:47
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 User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_4
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) 572 99,7% 2 0,3% 574 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) Mean 5,50 ,125
95% Confidence Interval for Mean Lower Bound 5,25  
Upper Bound 5,75  
5% Trimmed Mean 5,50  
Median 6,00  
Variance 8,930  
Std. Deviation 2,988  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,046 ,102
Kurtosis -1,133 ,204
Log

FREQUENCIES VARIABLES=V3_5
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:47
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_5
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,31
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)
N Valid 570
Missing 4
Frequencies
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 17 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather mountains 66 11,5 11,6 11,6
2 16 2,8 2,8 14,4
3 31 5,4 5,4 19,8
4 24 4,2 4,2 24,0
5 71 12,4 12,5 36,5
6 85 14,8 14,9 51,4
7 34 5,9 6,0 57,4
8 43 7,5 7,5 64,9
9 53 9,2 9,3 74,2
10 more like a waterside 147 25,6 25,8 100,0
Total 570 99,3 100,0  
Missing 0 1 ,2    
System 3 ,5    
Total 4 ,7    
Total 574 100,0    
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 25,789 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 25,789 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 9,2982 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 9,2982 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 7,5439 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 7,5439 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 5,9649 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 5,9649 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 14,912 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 14,912 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 12,456 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 12,456 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4,2105 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4,2105 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 5,4386 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 5,4386 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 2,8070 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 2,8070 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 11,579 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 11,579 0 10 20 30 30 20 10 0 rather mountains 2 3 4 5 6 7 8 9 more like a waterside more like a waterside 9 8 7 6 5 4 3 2 rather mountains
Frequencies
How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 27,622 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 27,622 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 7,6923 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 7,6923 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 9,2657 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 9,2657 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 5,9441 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 5,9441 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 13,112 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 13,112 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 11,888 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 11,888 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 5,2448 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 5,2448 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 4,7203 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 4,7203 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 3,4965 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 3,4965 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 11,014 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 11,014 0 10 20 30 30 20 10 0 rather mountains 2 3 4 5 6 7 8 9 more like a waterside more like a waterside 9 8 7 6 5 4 3 2 rather mountains
Log

EXAMINE VARIABLES=V3_5
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:24:47
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 User-defined missing values for dependent variables are treated as missing.
Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.
Syntax EXAMINE VARIABLES=V3_5
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) 570 99,3% 4 0,7% 574 100,0%
Explore
DescriptivesDescriptives, table, 1 levels of column headers and 3 levels of row headers, table with 5 columns and 15 rows
  Statistic Std. Error
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) Mean 6,46 ,127
95% Confidence Interval for Mean Lower Bound 6,21  
Upper Bound 6,71  
5% Trimmed Mean 6,56  
Median 6,00  
Variance 9,257  
Std. Deviation 3,043  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,404 ,102
Kurtosis -1,024 ,204
Log

FREQUENCIES VARIABLES=V3_6
  /BARCHART PERCENT
  /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 05-AUG-2023 22:24:47
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 User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data.
Syntax FREQUENCIES VARIABLES=V3_6
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,30
Frequencies
StatisticsStatistics, table, V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?) V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?)
N Valid 566
Missing 8
Frequencies
V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?)V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather city 103 17,9 18,2 18,2
2 50 8,7 8,8 27,0
3 42 7,3 7,4 34,5
4 33 5,7 5,8 40,3
5 62 10,8 11,0 51,2
6 90 15,7 15,9 67,1
7 29 5,1 5,1 72,3
8 30 5,2 5,3 77,6
9 26 4,5 4,6 82,2
10 rather countryside 101 17,6 17,8 100,0
Total 566 98,6 100,0  
Missing System 8 1,4    
Total 574 100,0    
Frequencies