IBM SPSS Web Report - 052_MI_descrA_IT.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 10:09:27
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 600
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 00:00:00,28
Elapsed Time 00:00:00,28
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 600
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 4 Italy 600 100,0 100,0 100,0
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 10:09:27
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 600
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 00:00:00,28
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather domestic 182 30,3 30,3 30,3
2 49 8,2 8,2 38,5
3 53 8,8 8,8 47,3
4 41 6,8 6,8 54,2
5 87 14,5 14,5 68,7
6 85 14,2 14,2 82,8
7 44 7,3 7,3 90,2
8 32 5,3 5,3 95,5
9 7 1,2 1,2 96,7
10 rather abroad 20 3,3 3,3 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 3,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 3,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 1,1667 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 9 Percent: 1,1667 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 5,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 8 Percent: 5,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 7,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 7 Percent: 7,3333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 14,167 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 6 Percent: 14,167 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 14,5 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 5 Percent: 14,5 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 6,8333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 4 Percent: 6,8333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 8,8333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 3 Percent: 8,8333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 8,1667 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: 2 Percent: 8,1667 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 30,333 How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather domestic Percent: 30,333 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 10:09:27
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 600
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? 600 100,0% 0 0,0% 600 100,0%
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 3,96 ,107
95% Confidence Interval for Mean Lower Bound 3,75  
Upper Bound 4,17  
5% Trimmed Mean 3,81  
Median 4,00  
Variance 6,871  
Std. Deviation 2,621  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,405 ,100
Kurtosis -,881 ,199
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 10:09:27
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 600
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 00:00:00,23
Elapsed Time 00:00:00,23
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather a long rest (min. 6 nights) 118 19,7 19,7 19,7
2 40 6,7 6,7 26,3
3 54 9,0 9,0 35,3
4 48 8,0 8,0 43,3
5 82 13,7 13,7 57,0
6 89 14,8 14,8 71,8
7 63 10,5 10,5 82,3
8 46 7,7 7,7 90,0
9 24 4,0 4,0 94,0
10 more short (one day) 36 6,0 6,0 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 6 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 6 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 4 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 9 Percent: 4 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 7,6667 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 8 Percent: 7,6667 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 10,5 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 7 Percent: 10,5 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 14,833 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 6 Percent: 14,833 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 13,667 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 5 Percent: 13,667 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 8 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 4 Percent: 8 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 9 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 3 Percent: 9 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 6,6667 How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): 2 Percent: 6,6667 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: 19,667 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: 19,667 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 10:09:27
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 600
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?) 600 100,0% 0 0,0% 600 100,0%
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 4,80 ,112
95% Confidence Interval for Mean Lower Bound 4,58  
Upper Bound 5,02  
5% Trimmed Mean 4,72  
Median 5,00  
Variance 7,558  
Std. Deviation 2,749  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,117 ,100
Kurtosis -1,010 ,199
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 10:09:27
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 600
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 00:00:00,23
Elapsed Time 00:00:00,28
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather mountains 36 6,0 6,0 6,0
2 19 3,2 3,2 9,2
3 24 4,0 4,0 13,2
4 25 4,2 4,2 17,3
5 80 13,3 13,3 30,7
6 84 14,0 14,0 44,7
7 66 11,0 11,0 55,7
8 86 14,3 14,3 70,0
9 51 8,5 8,5 78,5
10 more like a waterside 129 21,5 21,5 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 21,5 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): more like a waterside Percent: 21,5 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 8,5 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 9 Percent: 8,5 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 14,333 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 8 Percent: 14,333 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 11 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 7 Percent: 11 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 14 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 6 Percent: 14 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,333 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 5 Percent: 13,333 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 4,1667 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 4 Percent: 4,1667 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 4 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 3 Percent: 4 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 3,1667 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): 2 Percent: 3,1667 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6 How would you describe your tourism habits before COVID (2019)? (Waterside or mountains?): rather mountains Percent: 6 0 5 10 15 20 25 25 20 15 10 5 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 10:09:28
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 600
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?) 600 100,0% 0 0,0% 600 100,0%
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 6,75 ,108
95% Confidence Interval for Mean Lower Bound 6,54  
Upper Bound 6,96  
5% Trimmed Mean 6,89  
Median 7,00  
Variance 7,007  
Std. Deviation 2,647  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,536 ,100
Kurtosis -,547 ,199
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 10:09:28
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 600
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 00:00:00,22
Elapsed Time 00:00:00,20
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather city 78 13,0 13,0 13,0
2 47 7,8 7,8 20,8
3 67 11,2 11,2 32,0
4 47 7,8 7,8 39,8
5 96 16,0 16,0 55,8
6 102 17,0 17,0 72,8
7 49 8,2 8,2 81,0
8 53 8,8 8,8 89,8
9 15 2,5 2,5 92,3
10 rather countryside 46 7,7 7,7 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 7,6667 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather countryside Percent: 7,6667 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 2,5 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 9 Percent: 2,5 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 8,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 8 Percent: 8,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 8,1667 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 7 Percent: 8,1667 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 17 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 6 Percent: 17 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 16 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 5 Percent: 16 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 7,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 4 Percent: 7,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 11,167 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 3 Percent: 11,167 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 7,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): 2 Percent: 7,8333 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 13 How would you describe your tourism habits before COVID (2019)? (City or countryside?): rather city Percent: 13 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 10:09:28
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 600
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?) 600 100,0% 0 0,0% 600 100,0%
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 5,03 ,107
95% Confidence Interval for Mean Lower Bound 4,81  
Upper Bound 5,24  
5% Trimmed Mean 4,97  
Median 5,00  
Variance 6,929  
Std. Deviation 2,632  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness ,136 ,100
Kurtosis -,820 ,199
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 10:09:28
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 600
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 00:00:00,28
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather natural 79 13,2 13,2 13,2
2 31 5,2 5,2 18,3
3 51 8,5 8,5 26,8
4 37 6,2 6,2 33,0
5 108 18,0 18,0 51,0
6 120 20,0 20,0 71,0
7 62 10,3 10,3 81,3
8 54 9,0 9,0 90,3
9 23 3,8 3,8 94,2
10 rather cultural 35 5,8 5,8 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 5,8333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather cultural Percent: 5,8333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 3,8333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 9 Percent: 3,8333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 9 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 8 Percent: 9 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 10,333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 7 Percent: 10,333 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 20 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 6 Percent: 20 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 18 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 5 Percent: 18 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 8,5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 3 Percent: 8,5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 5,1667 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): 2 Percent: 5,1667 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 13,167 How would you describe your tourism habits before COVID (2019)? (Nature or culture?): rather natural Percent: 13,167 0 5 10 15 20 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 10:09:28
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 600
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 00:00:00,02
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_5 How would you describe your tourism habits before COVID (2019)? (Nature or culture?) 600 100,0% 0 0,0% 600 100,0%
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 5,21 ,104
95% Confidence Interval for Mean Lower Bound 5,00  
Upper Bound 5,41  
5% Trimmed Mean 5,18  
Median 5,00  
Variance 6,436  
Std. Deviation 2,537  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,085 ,100
Kurtosis -,714 ,199
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 10:09:28
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 600
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 00:00:00,23
Elapsed Time 00:00:00,22
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather car 156 26,0 26,0 26,0
2 71 11,8 11,8 37,8
3 76 12,7 12,7 50,5
4 37 6,2 6,2 56,7
5 69 11,5 11,5 68,2
6 79 13,2 13,2 81,3
7 40 6,7 6,7 88,0
8 30 5,0 5,0 93,0
9 15 2,5 2,5 95,5
10 rather public transport 27 4,5 4,5 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 4,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather public transport Percent: 4,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 2,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 9 Percent: 2,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 8 Percent: 5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 6,6667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 7 Percent: 6,6667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 13,167 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 6 Percent: 13,167 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 11,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 5 Percent: 11,5 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 12,667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 3 Percent: 12,667 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 11,833 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): 2 Percent: 11,833 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 26 How would you describe your tourism habits before COVID (2019)? (Car or public transport?): rather car Percent: 26 0 10 20 30 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 10:09:29
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 600
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 00:00:00,02
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_6 How would you describe your tourism habits before COVID (2019)? (Car or public transport?) 600 100,0% 0 0,0% 600 100,0%
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 4,03 ,110
95% Confidence Interval for Mean Lower Bound 3,81  
Upper Bound 4,25  
5% Trimmed Mean 3,87  
Median 3,00  
Variance 7,238  
Std. Deviation 2,690  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,530 ,100
Kurtosis -,771 ,199
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 10:09:29
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 600
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 00:00:00,27
Elapsed Time 00:00:00,37
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 600
Missing 0
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 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather aerial 39 6,5 6,5 6,5
2 21 3,5 3,5 10,0
3 41 6,8 6,8 16,8
4 37 6,2 6,2 23,0
5 87 14,5 14,5 37,5
6 74 12,3 12,3 49,8
7 56 9,3 9,3 59,2
8 72 12,0 12,0 71,2
9 38 6,3 6,3 77,5
10 rather terrestrial 135 22,5 22,5 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 22,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather terrestrial Percent: 22,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 6,3333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 9 Percent: 6,3333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 12 How would you describe your tourism habits before COVID (2019)? (Land or air?): 8 Percent: 12 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 9,3333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 7 Percent: 9,3333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 12,333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 6 Percent: 12,333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 14,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): 5 Percent: 14,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Land or air?): 4 Percent: 6,1667 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 6,8333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 3 Percent: 6,8333 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 3,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): 2 Percent: 3,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 6,5 How would you describe your tourism habits before COVID (2019)? (Land or air?): rather aerial Percent: 6,5 0 5 10 15 20 25 25 20 15 10 5 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 10:09:29
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 600
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 00:00:00,00
Elapsed Time 00:00:00,00
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?) 600 100,0% 0 0,0% 600 100,0%
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 6,49 ,113
95% Confidence Interval for Mean Lower Bound 6,26  
Upper Bound 6,71  
5% Trimmed Mean 6,59  
Median 7,00  
Variance 7,713  
Std. Deviation 2,777  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,329 ,100
Kurtosis -,912 ,199
IBM SPSS Web Report
X