IBM SPSS Web Report - 050_MI_descrA_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 10:06:14
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
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
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,23
Elapsed Time 00:00:00,22
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=V1_1
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:14
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
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=V1_1
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,28
Elapsed Time 00:00:00,25
Frequencies
StatisticsStatistics, table, V1_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign? V1_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?
N Valid 573
Missing 1
Frequencies
V1_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?V1_1 How would you describe your tourism habits before COVID (2019)? 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 188 32,8 32,8 32,8
2 32 5,6 5,6 38,4
3 37 6,4 6,5 44,9
4 37 6,4 6,5 51,3
5 51 8,9 8,9 60,2
6 42 7,3 7,3 67,5
7 29 5,1 5,1 72,6
8 50 8,7 8,7 81,3
9 25 4,4 4,4 85,7
10 rather abroad 82 14,3 14,3 100,0
Total 573 99,8 100,0  
Missing -1 1 ,2    
Total 574 100,0    
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=V1_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 10:06:15
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
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=V1_1
/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
V1_1 How would you describe your tourism habits before COVID (2019)? 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
V1_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign? Mean 4,65 ,140
95% Confidence Interval for Mean Lower Bound 4,38  
Upper Bound 4,93  
5% Trimmed Mean 4,56  
Median 4,00  
Variance 11,311  
Std. Deviation 3,363  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 7  
Skewness ,323 ,102
Kurtosis -1,378 ,204
Log

FREQUENCIES VARIABLES=V1_2
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:15
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
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=V1_2
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,31
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V1_2 How would you describe your tourism habits before COVID (in 2019)? (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
V1_2 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?) V1_2 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?)
N Valid 572
Missing 2
Frequencies
V1_2 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?)V1_2 How would you describe your tourism habits before COVID (in 2019)? (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) 113 19,7 19,8 19,8
2 39 6,8 6,8 26,6
3 68 11,8 11,9 38,5
4 49 8,5 8,6 47,0
5 48 8,4 8,4 55,4
6 49 8,5 8,6 64,0
7 37 6,4 6,5 70,5
8 55 9,6 9,6 80,1
9 38 6,6 6,6 86,7
10 more short (one day) 76 13,2 13,3 100,0
Total 572 99,7 100,0  
Missing -1 2 ,3    
Total 574 100,0    
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=V1_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 10:06:15
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
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=V1_2
/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
V1_2 How would you describe your tourism habits before COVID (in 2019)? (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
V1_2 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?) Mean 5,12 ,132
95% Confidence Interval for Mean Lower Bound 4,86  
Upper Bound 5,37  
5% Trimmed Mean 5,07  
Median 5,00  
Variance 9,934  
Std. Deviation 3,152  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 6  
Skewness ,164 ,102
Kurtosis -1,335 ,204
Log

FREQUENCIES VARIABLES=V1_3
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:15
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
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=V1_3
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,34
Elapsed Time 00:00:00,33
Frequencies
StatisticsStatistics, table, V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?) V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?)
N Valid 572
Missing 2
Frequencies
V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?)V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?), 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 mountains 63 11,0 11,0 11,0
2 20 3,5 3,5 14,5
3 27 4,7 4,7 19,2
4 30 5,2 5,2 24,5
5 68 11,8 11,9 36,4
6 75 13,1 13,1 49,5
7 34 5,9 5,9 55,4
8 53 9,2 9,3 64,7
9 44 7,7 7,7 72,4
10 more like a waterside 158 27,5 27,6 100,0
Total 572 99,7 100,0  
Missing -1 2 ,3    
Total 574 100,0    
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=V1_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 10:06:15
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
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=V1_3
/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
V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?) 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
V1_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?) Mean 6,52 ,128
95% Confidence Interval for Mean Lower Bound 6,27  
Upper Bound 6,78  
5% Trimmed Mean 6,64  
Median 7,00  
Variance 9,350  
Std. Deviation 3,058  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,425 ,102
Kurtosis -1,036 ,204
Log

FREQUENCIES VARIABLES=V1_4
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:15
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
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=V1_4
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,37
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?) V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?)
N Valid 570
Missing 4
Frequencies
V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?)V1_4 How would you describe your tourism habits before COVID (2019)? (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 101 17,6 17,7 17,7
2 49 8,5 8,6 26,3
3 43 7,5 7,5 33,9
4 29 5,1 5,1 38,9
5 73 12,7 12,8 51,8
6 74 12,9 13,0 64,7
7 37 6,4 6,5 71,2
8 36 6,3 6,3 77,5
9 18 3,1 3,2 80,7
10 rather countryside 110 19,2 19,3 100,0
Total 570 99,3 100,0  
Missing -1 4 ,7    
Total 574 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 19,298 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 19,298 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 3,1579 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 3,1579 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 6,3158 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 6,3158 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 6,4912 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 6,4912 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 12,982 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 12,982 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 12,807 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 12,807 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 5,0877 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 5,0877 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 7,5439 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 7,5439 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 8,5965 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 8,5965 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 17,719 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 17,719 0 5 10 15 20 20 15 10 5 0 rather city 2 3 4 5 6 7 8 9 rather countryside rather countryside 9 8 7 6 5 4 3 2 rather city
Log

EXAMINE VARIABLES=V1_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 10:06:16
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
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=V1_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
V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?) 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
V1_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?) Mean 5,37 ,133
95% Confidence Interval for Mean Lower Bound 5,11  
Upper Bound 5,63  
5% Trimmed Mean 5,36  
Median 5,00  
Variance 10,129  
Std. Deviation 3,183  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 6  
Skewness ,089 ,102
Kurtosis -1,280 ,204
Log

FREQUENCIES VARIABLES=V1_5
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:16
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
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=V1_5
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,31
Elapsed Time 00:00:00,30
Frequencies
StatisticsStatistics, table, V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?) V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?)
N Valid 572
Missing 2
Frequencies
V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?)V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?), 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 natural 166 28,9 29,0 29,0
2 38 6,6 6,6 35,7
3 67 11,7 11,7 47,4
4 44 7,7 7,7 55,1
5 84 14,6 14,7 69,8
6 82 14,3 14,3 84,1
7 25 4,4 4,4 88,5
8 22 3,8 3,8 92,3
9 8 1,4 1,4 93,7
10 rather cultural 36 6,3 6,3 100,0
Total 572 99,7 100,0  
Missing -1 2 ,3    
Total 574 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 6,2937 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 6,2937 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 1,3986 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 1,3986 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 3,8462 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 3,8462 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 4,3706 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 4,3706 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 14,336 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 14,336 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 14,685 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 14,685 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 7,6923 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 7,6923 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 11,713 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 11,713 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 6,6434 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 6,6434 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 29,021 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 29,021 0 10 20 30 30 20 10 0 rather natural 2 3 4 5 6 7 8 9 rather cultural rather cultural 9 8 7 6 5 4 3 2 rather natural
Log

EXAMINE VARIABLES=V1_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 10:06:16
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
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=V1_5
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,01
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
V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?) 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
V1_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?) Mean 4,05 ,113
95% Confidence Interval for Mean Lower Bound 3,82  
Upper Bound 4,27  
5% Trimmed Mean 3,88  
Median 4,00  
Variance 7,350  
Std. Deviation 2,711  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,545 ,102
Kurtosis -,603 ,204
Log

FREQUENCIES VARIABLES=V1_6
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:16
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
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=V1_6
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?) V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?)
N Valid 568
Missing 6
Frequencies
V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?)V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?), 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 car 274 47,7 48,2 48,2
2 48 8,4 8,5 56,7
3 43 7,5 7,6 64,3
4 24 4,2 4,2 68,5
5 34 5,9 6,0 74,5
6 45 7,8 7,9 82,4
7 11 1,9 1,9 84,3
8 18 3,1 3,2 87,5
9 19 3,3 3,3 90,8
10 rather public transport 52 9,1 9,2 100,0
Total 568 99,0 100,0  
Missing -1 6 1,0    
Total 574 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 9,1549 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 9,1549 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 3,3451 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 3,3451 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 3,1690 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 3,1690 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 1,9366 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 1,9366 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 7,9225 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 7,9225 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 5,9859 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 5,9859 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 4,2254 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 4,2254 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 7,5704 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 7,5704 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 8,4507 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 8,4507 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 48,239 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 48,239 0 10 20 30 40 50 50 40 30 20 10 0 rather car 2 3 4 5 6 7 8 9 rather public transport rather public transport 9 8 7 6 5 4 3 2 rather car
Log

EXAMINE VARIABLES=V1_6
  /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 10:06:17
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
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=V1_6
/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
V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?) 568 99,0% 6 1,0% 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
V1_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?) Mean 3,43 ,130
95% Confidence Interval for Mean Lower Bound 3,17  
Upper Bound 3,68  
5% Trimmed Mean 3,20  
Median 2,00  
Variance 9,635  
Std. Deviation 3,104  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness 1,013 ,103
Kurtosis -,388 ,205
Log

FREQUENCIES VARIABLES=V1_7
  /BARCHART PERCENT
  /ORDER=VARIABLE.
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 10:06:17
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
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=V1_7
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,33
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?) V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?)
N Valid 571
Missing 3
Frequencies
V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?)V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?), 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 aerial 62 10,8 10,9 10,9
2 15 2,6 2,6 13,5
3 23 4,0 4,0 17,5
4 25 4,4 4,4 21,9
5 33 5,7 5,8 27,7
6 52 9,1 9,1 36,8
7 23 4,0 4,0 40,8
8 38 6,6 6,7 47,5
9 36 6,3 6,3 53,8
10 rather terrestrial 264 46,0 46,2 100,0
Total 571 99,5 100,0  
Missing -1 3 ,5    
Total 574 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 46,235 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 46,235 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 6,3047 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 6,3047 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 6,6550 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 6,6550 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 4,0280 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 4,0280 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 9,1068 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 9,1068 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 5,7793 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 5,7793 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 4,3783 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 4,3783 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 4,0280 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 4,0280 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 2,6270 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 2,6270 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 10,858 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 10,858 0 10 20 30 40 50 50 40 30 20 10 0 rather aerial 2 3 4 5 6 7 8 9 rather terrestrial rather terrestrial 9 8 7 6 5 4 3 2 rather aerial
Log

EXAMINE VARIABLES=V1_7
  /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 10:06:17
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
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=V1_7
/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
V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?) 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
V1_7 How would you describe your tourism habits before COVID (2019)? (Land or air?) Mean 7,30 ,135
95% Confidence Interval for Mean Lower Bound 7,03  
Upper Bound 7,56  
5% Trimmed Mean 7,50  
Median 9,00  
Variance 10,336  
Std. Deviation 3,215  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,824 ,102
Kurtosis -,765 ,204
IBM SPSS Web Report
X