IBM SPSS Web Report - 051_MI_descrA_TR.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 10:08:38
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 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
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,25
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

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 10:08:38
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 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=V1_1
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,25
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 1082
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 102 9,4 9,4 9,4
2 53 4,9 4,9 14,3
3 54 5,0 5,0 19,3
4 87 8,0 8,0 27,4
5 138 12,7 12,8 40,1
6 95 8,8 8,8 48,9
7 115 10,6 10,6 59,5
8 173 16,0 16,0 75,5
9 113 10,4 10,4 86,0
10 rather abroad 152 14,0 14,0 100,0
Total 1082 99,9 100,0  
Missing -1 1 ,1    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,048 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 14,048 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 10,444 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 10,444 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 15,989 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 15,989 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 10,628 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 10,628 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 8,7800 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 8,7800 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 12,754 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 12,754 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 8,0407 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 8,0407 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 4,9908 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 4,9908 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 4,8983 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 4,8983 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 9,4270 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 9,4270 0 5 10 15 20 20 15 10 5 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 10:08:38
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 1083
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 00:00:00,03
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_1 How would you describe your tourism habits before COVID (2019)? Domestic or foreign? 1082 99,9% 1 0,1% 1083 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 6,20 ,086
95% Confidence Interval for Mean Lower Bound 6,03  
Upper Bound 6,36  
5% Trimmed Mean 6,27  
Median 7,00  
Variance 7,941  
Std. Deviation 2,818  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,381 ,074
Kurtosis -,952 ,149
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 10:08:38
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 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=V1_2
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,27
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 1082
Missing 1
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) 156 14,4 14,4 14,4
2 127 11,7 11,7 26,2
3 111 10,2 10,3 36,4
4 104 9,6 9,6 46,0
5 98 9,0 9,1 55,1
6 84 7,8 7,8 62,8
7 82 7,6 7,6 70,4
8 113 10,4 10,4 80,9
9 105 9,7 9,7 90,6
10 more short (one day) 102 9,4 9,4 100,0
Total 1082 99,9 100,0  
Missing -1 1 ,1    
Total 1083 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: 9,4270 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 9,4270 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 9,7043 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 9,7043 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 10,444 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 10,444 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 7,5786 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 7,5786 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 7,7634 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 7,7634 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 9,0573 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 9,0573 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 9,6118 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 9,6118 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 10,259 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 10,259 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 11,738 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 11,738 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: 14,418 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: 14,418 0 5 10 15 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 10:08:38
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 1083
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 00:00:00,03
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_2 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?) 1082 99,9% 1 0,1% 1083 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 5,17 ,092
95% Confidence Interval for Mean Lower Bound 4,99  
Upper Bound 5,35  
5% Trimmed Mean 5,14  
Median 5,00  
Variance 9,079  
Std. Deviation 3,013  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 6  
Skewness ,128 ,074
Kurtosis -1,327 ,149
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 10:08:38
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 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=V1_3
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,31
Elapsed Time 00:00:00,30
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 1081
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 73 6,7 6,8 6,8
2 28 2,6 2,6 9,3
3 60 5,5 5,6 14,9
4 40 3,7 3,7 18,6
5 141 13,0 13,0 31,6
6 84 7,8 7,8 39,4
7 66 6,1 6,1 45,5
8 139 12,8 12,9 58,4
9 137 12,7 12,7 71,0
10 more like a waterside 313 28,9 29,0 100,0
Total 1081 99,8 100,0  
Missing -1 2 ,2    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 28,955 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 28,955 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 12,673 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 12,673 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 12,858 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 12,858 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 6,1055 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 6,1055 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 7,7706 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 7,7706 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,043 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,043 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 3,7003 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 3,7003 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 5,5504 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 5,5504 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 2,5902 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 2,5902 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6,7530 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6,7530 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 10:08:39
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 1083
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 00:00:00,03
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_3 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?) 1081 99,8% 2 0,2% 1083 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 7,04 ,087
95% Confidence Interval for Mean Lower Bound 6,87  
Upper Bound 7,21  
5% Trimmed Mean 7,22  
Median 8,00  
Variance 8,146  
Std. Deviation 2,854  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,674 ,074
Kurtosis -,713 ,149
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 10:08:39
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 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=V1_4
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,34
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 1080
Missing 3
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 148 13,7 13,7 13,7
2 103 9,5 9,5 23,2
3 122 11,3 11,3 34,5
4 73 6,7 6,8 41,3
5 166 15,3 15,4 56,7
6 73 6,7 6,8 63,4
7 64 5,9 5,9 69,4
8 94 8,7 8,7 78,1
9 69 6,4 6,4 84,4
10 rather countryside 168 15,5 15,6 100,0
Total 1080 99,7 100,0  
Missing -1 3 ,3    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 15,556 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 15,556 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 6,3889 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 6,3889 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 8,7037 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 8,7037 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 5,9259 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 5,9259 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 6,7593 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 6,7593 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 15,370 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 15,370 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 6,7593 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 6,7593 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 11,296 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 11,296 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 9,5370 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 9,5370 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 13,704 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 13,704 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 10:08:39
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 1083
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 00:00:00,03
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_4 How would you describe your tourism habits before COVID (2019)? (City or countryside?) 1080 99,7% 3 0,3% 1083 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 5,35 ,094
95% Confidence Interval for Mean Lower Bound 5,17  
Upper Bound 5,54  
5% Trimmed Mean 5,34  
Median 5,00  
Variance 9,454  
Std. Deviation 3,075  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,140 ,074
Kurtosis -1,279 ,149
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 10:08:39
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 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=V1_5
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,31
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 1081
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 266 24,6 24,6 24,6
2 138 12,7 12,8 37,4
3 146 13,5 13,5 50,9
4 111 10,2 10,3 61,1
5 162 15,0 15,0 76,1
6 74 6,8 6,8 83,0
7 48 4,4 4,4 87,4
8 55 5,1 5,1 92,5
9 36 3,3 3,3 95,8
10 rather cultural 45 4,2 4,2 100,0
Total 1081 99,8 100,0  
Missing -1 2 ,2    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 4,1628 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 4,1628 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 3,3302 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 3,3302 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 5,0879 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 5,0879 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 4,4403 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 4,4403 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 6,8455 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 6,8455 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 14,986 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 14,986 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 10,268 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 10,268 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 13,506 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 13,506 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 12,766 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 12,766 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 24,607 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 24,607 0 5 10 15 20 25 25 20 15 10 5 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 10:08:39
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 1083
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 00:00:00,03
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_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?) 1081 99,8% 2 0,2% 1083 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 3,91 ,079
95% Confidence Interval for Mean Lower Bound 3,76  
Upper Bound 4,07  
5% Trimmed Mean 3,74  
Median 3,00  
Variance 6,827  
Std. Deviation 2,613  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 3  
Skewness ,693 ,074
Kurtosis -,443 ,149
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 10:08:39
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 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=V1_6
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,28
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 1082
Missing 1
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 437 40,4 40,4 40,4
2 178 16,4 16,5 56,8
3 112 10,3 10,4 67,2
4 65 6,0 6,0 73,2
5 77 7,1 7,1 80,3
6 46 4,2 4,3 84,6
7 27 2,5 2,5 87,1
8 47 4,3 4,3 91,4
9 31 2,9 2,9 94,3
10 rather public transport 62 5,7 5,7 100,0
Total 1082 99,9 100,0  
Missing -1 1 ,1    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 5,7301 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 5,7301 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 2,8651 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 2,8651 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 4,3438 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 4,3438 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 2,4954 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 2,4954 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 4,2514 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 4,2514 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 7,1165 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 7,1165 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 6,0074 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 6,0074 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 10,351 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 10,351 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 16,451 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 16,451 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 40,388 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 40,388 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 10:08:40
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
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
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?) 1082 99,9% 1 0,1% 1083 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 3,25 ,085
95% Confidence Interval for Mean Lower Bound 3,08  
Upper Bound 3,41  
5% Trimmed Mean 3,00  
Median 2,00  
Variance 7,778  
Std. Deviation 2,789  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness 1,177 ,074
Kurtosis ,177 ,149
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 10:08:40
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
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=V1_7
/BARCHART PERCENT
/ORDER=VARIABLE.
Resources Processor Time 00:00:00,28
Elapsed Time 00:00:00,28
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 1081
Missing 2
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 85 7,8 7,9 7,9
2 41 3,8 3,8 11,7
3 50 4,6 4,6 16,3
4 51 4,7 4,7 21,0
5 93 8,6 8,6 29,6
6 52 4,8 4,8 34,4
7 59 5,4 5,5 39,9
8 69 6,4 6,4 46,3
9 101 9,3 9,3 55,6
10 rather terrestrial 480 44,3 44,4 100,0
Total 1081 99,8 100,0  
Missing -1 2 ,2    
Total 1083 100,0    
Frequencies
How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 44,403 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 44,403 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 9,3432 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 9,3432 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 6,3830 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 6,3830 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 5,4579 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 5,4579 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 4,8104 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 4,8104 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 8,6031 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 8,6031 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 4,7179 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 4,7179 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 4,6253 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 4,6253 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 3,7928 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 3,7928 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 7,8631 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 7,8631 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 10:08:40
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
Weight <none>
Split File <none>
N of Rows in Working Data File 1083
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 00:00:00,03
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_7 How would you describe your tourism habits before COVID (2019)? (Land or air?) 1081 99,8% 2 0,2% 1083 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 7,37 ,094
95% Confidence Interval for Mean Lower Bound 7,19  
Upper Bound 7,56  
5% Trimmed Mean 7,58  
Median 9,00  
Variance 9,638  
Std. Deviation 3,105  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness -,830 ,074
Kurtosis -,742 ,149
IBM SPSS Web Report
X