IBM SPSS Web Report - 052_MIII_descrD_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 22:27:00
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Frequencies
StatisticsStatistics, table, V4_6 Your place of residence: Country, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V4_6 Your place of residence: Country V4_6 Your place of residence: Country
N Valid 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=V3_1
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:00
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_1
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,30
Elapsed Time 00:00:00,28
Frequencies
StatisticsStatistics, table, V3_1 How has the COVID pandemic changed your travel habits?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_1 How has the COVID pandemic changed your travel habits? V3_1 How has the COVID pandemic changed your travel habits?
N Valid 600
Missing 0
Frequencies
V3_1 How has the COVID pandemic changed your travel habits?V3_1 How has the COVID pandemic changed your travel habits?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 it is not affected at all 89 14,8 14,8 14,8
2 23 3,8 3,8 18,7
3 34 5,7 5,7 24,3
4 30 5,0 5,0 29,3
5 91 15,2 15,2 44,5
6 100 16,7 16,7 61,2
7 85 14,2 14,2 75,3
8 64 10,7 10,7 86,0
9 25 4,2 4,2 90,2
10 reduced it very significantly 59 9,8 9,8 100,0
Total 600 100,0 100,0  
Frequencies
How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 9,8333 How has the COVID pandemic changed your travel habits?: reduced it very significantly Percent: 9,8333 How has the COVID pandemic changed your travel habits?: 9 Percent: 4,1667 How has the COVID pandemic changed your travel habits?: 9 Percent: 4,1667 How has the COVID pandemic changed your travel habits?: 8 Percent: 10,667 How has the COVID pandemic changed your travel habits?: 8 Percent: 10,667 How has the COVID pandemic changed your travel habits?: 7 Percent: 14,167 How has the COVID pandemic changed your travel habits?: 7 Percent: 14,167 How has the COVID pandemic changed your travel habits?: 6 Percent: 16,667 How has the COVID pandemic changed your travel habits?: 6 Percent: 16,667 How has the COVID pandemic changed your travel habits?: 5 Percent: 15,167 How has the COVID pandemic changed your travel habits?: 5 Percent: 15,167 How has the COVID pandemic changed your travel habits?: 4 Percent: 5 How has the COVID pandemic changed your travel habits?: 4 Percent: 5 How has the COVID pandemic changed your travel habits?: 3 Percent: 5,6667 How has the COVID pandemic changed your travel habits?: 3 Percent: 5,6667 How has the COVID pandemic changed your travel habits?: 2 Percent: 3,8333 How has the COVID pandemic changed your travel habits?: 2 Percent: 3,8333 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 14,833 How has the COVID pandemic changed your travel habits?: it is not affected at all Percent: 14,833 0 5 10 15 20 20 15 10 5 0 it is not affected at all 2 3 4 5 6 7 8 9 reduced it very significantly reduced it very significantly 9 8 7 6 5 4 3 2 it is not affected at all
Log

EXAMINE VARIABLES=V3_1
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:00
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_1
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_1 How has the COVID pandemic changed your travel habits? 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
V3_1 How has the COVID pandemic changed your travel habits? Mean 5,56 ,112
95% Confidence Interval for Mean Lower Bound 5,34  
Upper Bound 5,78  
5% Trimmed Mean 5,56  
Median 6,00  
Variance 7,516  
Std. Deviation 2,742  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 3  
Skewness -,224 ,100
Kurtosis -,840 ,199
Log

FREQUENCIES VARIABLES=V3_2
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:00
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_2
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,23
Elapsed Time 00:00:00,25
Frequencies
StatisticsStatistics, table, V3_2 How have your travels changed since opening? (2021 main season), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_2 How have your travels changed since opening? (2021 main season) V3_2 How have your travels changed since opening? (2021 main season)
N Valid 600
Missing 0
Frequencies
V3_2 How have your travels changed since opening? (2021 main season)V3_2 How have your travels changed since opening? (2021 main season), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 I traveled less 120 20,0 20,0 20,0
2 52 8,7 8,7 28,7
3 41 6,8 6,8 35,5
4 50 8,3 8,3 43,8
5 141 23,5 23,5 67,3
6 113 18,8 18,8 86,2
7 50 8,3 8,3 94,5
8 19 3,2 3,2 97,7
9 4 ,7 ,7 98,3
10 I traveled more 10 1,7 1,7 100,0
Total 600 100,0 100,0  
Frequencies
How have your travels changed since opening? (2021 main season): I traveled more Percent: 1,6667 How have your travels changed since opening? (2021 main season): I traveled more Percent: 1,6667 How have your travels changed since opening? (2021 main season): 9 Percent: 0,6667 How have your travels changed since opening? (2021 main season): 9 Percent: 0,6667 How have your travels changed since opening? (2021 main season): 8 Percent: 3,1667 How have your travels changed since opening? (2021 main season): 8 Percent: 3,1667 How have your travels changed since opening? (2021 main season): 7 Percent: 8,3333 How have your travels changed since opening? (2021 main season): 7 Percent: 8,3333 How have your travels changed since opening? (2021 main season): 6 Percent: 18,833 How have your travels changed since opening? (2021 main season): 6 Percent: 18,833 How have your travels changed since opening? (2021 main season): 5 Percent: 23,5 How have your travels changed since opening? (2021 main season): 5 Percent: 23,5 How have your travels changed since opening? (2021 main season): 4 Percent: 8,3333 How have your travels changed since opening? (2021 main season): 4 Percent: 8,3333 How have your travels changed since opening? (2021 main season): 3 Percent: 6,8333 How have your travels changed since opening? (2021 main season): 3 Percent: 6,8333 How have your travels changed since opening? (2021 main season): 2 Percent: 8,6667 How have your travels changed since opening? (2021 main season): 2 Percent: 8,6667 How have your travels changed since opening? (2021 main season): I traveled less Percent: 20 How have your travels changed since opening? (2021 main season): I traveled less Percent: 20 0 5 10 15 20 25 25 20 15 10 5 0 I traveled less 2 3 4 5 6 7 8 9 I traveled more I traveled more 9 8 7 6 5 4 3 2 I traveled less
Log

EXAMINE VARIABLES=V3_2
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_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
V3_2 How have your travels changed since opening? (2021 main season) 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
V3_2 How have your travels changed since opening? (2021 main season) Mean 4,28 ,093
95% Confidence Interval for Mean Lower Bound 4,10  
Upper Bound 4,46  
5% Trimmed Mean 4,21  
Median 5,00  
Variance 5,157  
Std. Deviation 2,271  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,005 ,100
Kurtosis -,764 ,199
Log

FREQUENCIES VARIABLES=V3_3
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_3
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,27
Frequencies
StatisticsStatistics, table, V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?
N Valid 600
Missing 0
Frequencies
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather domestic 179 29,8 29,8 29,8
2 51 8,5 8,5 38,3
3 65 10,8 10,8 49,2
4 43 7,2 7,2 56,3
5 77 12,8 12,8 69,2
6 104 17,3 17,3 86,5
7 41 6,8 6,8 93,3
8 27 4,5 4,5 97,8
9 3 ,5 ,5 98,3
10 rather abroad 10 1,7 1,7 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 1,6667 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather abroad Percent: 1,6667 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 0,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 9 Percent: 0,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 4,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 8 Percent: 4,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 6,8333 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 7 Percent: 6,8333 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 17,333 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 6 Percent: 17,333 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 12,833 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 5 Percent: 12,833 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 7,1667 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 4 Percent: 7,1667 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 10,833 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 3 Percent: 10,833 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 8,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: 2 Percent: 8,5 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 29,833 How would you describe your habits AFTER COVID (2022)? Domestic or foreign?: rather domestic Percent: 29,833 0 10 20 30 30 20 10 0 rather domestic 2 3 4 5 6 7 8 9 rather abroad rather abroad 9 8 7 6 5 4 3 2 rather domestic
Frequencies
How would you describe your tourism habits before COVID (2019)? Domestic or foreign?: rather abroad Percent: 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=V3_3
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_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
V3_3 How would you describe your habits AFTER COVID (2022)? 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
V3_3 How would you describe your habits AFTER COVID (2022)? Domestic or foreign? Mean 3,81 ,100
95% Confidence Interval for Mean Lower Bound 3,62  
Upper Bound 4,01  
5% Trimmed Mean 3,69  
Median 4,00  
Variance 5,990  
Std. Deviation 2,447  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,343 ,100
Kurtosis -,962 ,199
Log

FREQUENCIES VARIABLES=V3_4
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_4
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,28
Frequencies
StatisticsStatistics, table, V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)
N Valid 600
Missing 0
Frequencies
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?)V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather a long rest (min. 6 nights) 115 19,2 19,2 19,2
2 43 7,2 7,2 26,3
3 45 7,5 7,5 33,8
4 38 6,3 6,3 40,2
5 96 16,0 16,0 56,2
6 90 15,0 15,0 71,2
7 61 10,2 10,2 81,3
8 51 8,5 8,5 89,8
9 23 3,8 3,8 93,7
10 more short (one day) 38 6,3 6,3 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 6,3333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): more short (one day) Percent: 6,3333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 3,8333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 9 Percent: 3,8333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 8,5 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 8 Percent: 8,5 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 10,167 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 7 Percent: 10,167 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 15 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 6 Percent: 15 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 16 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 5 Percent: 16 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 6,3333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 4 Percent: 6,3333 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 7,5 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 3 Percent: 7,5 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 7,1667 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): 2 Percent: 7,1667 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 19,167 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?): rather a long rest (min. 6 nights) Percent: 19,167 0 5 10 15 20 20 15 10 5 0 rather a long rest (min. 6 nights) 2 3 4 5 6 7 8 9 more short (one day) more short (one day) 9 8 7 6 5 4 3 2 rather a long rest (min. 6 nights)
Frequencies
How would you describe your tourism habits before COVID (in 2019)? (One big one or several short ones?): more short (one day) Percent: 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=V3_4
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_4
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,02
Elapsed Time 00:00:00,02
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) 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
V3_4 How would you describe tourism habits AFTER COVID (2022)? (One big one or several short ones?) Mean 4,88 ,112
95% Confidence Interval for Mean Lower Bound 4,66  
Upper Bound 5,10  
5% Trimmed Mean 4,81  
Median 5,00  
Variance 7,592  
Std. Deviation 2,755  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 5  
Skewness ,068 ,100
Kurtosis -1,010 ,199
Log

FREQUENCIES VARIABLES=V3_5
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:01
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_5
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,22
Elapsed Time 00:00:00,31
Frequencies
StatisticsStatistics, table, V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)
N Valid 600
Missing 0
Frequencies
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?)V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather mountains 40 6,7 6,7 6,7
2 20 3,3 3,3 10,0
3 28 4,7 4,7 14,7
4 24 4,0 4,0 18,7
5 83 13,8 13,8 32,5
6 113 18,8 18,8 51,3
7 57 9,5 9,5 60,8
8 72 12,0 12,0 72,8
9 54 9,0 9,0 81,8
10 more like a waterside 109 18,2 18,2 100,0
Total 600 100,0 100,0  
Frequencies
How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 18,167 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): more like a waterside Percent: 18,167 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 9 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 9 Percent: 9 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 12 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 8 Percent: 12 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 9,5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 7 Percent: 9,5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 18,833 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 6 Percent: 18,833 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 13,833 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 5 Percent: 13,833 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 4 Percent: 4 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 4,6667 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 3 Percent: 4,6667 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 3,3333 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): 2 Percent: 3,3333 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 6,6667 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?): rather mountains Percent: 6,6667 0 5 10 15 20 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
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=V3_5
  /PLOT NONE
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.
Explore
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:02
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_5
/PLOT NONE
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:00,03
Elapsed Time 00:00:00,03
Explore
Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Valid Missing Total
N Percent N Percent N Percent
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) 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
V3_5 How would you describe tourism habits AFTER COVID (2022)? (Waterside or mountains?) Mean 6,51 ,108
95% Confidence Interval for Mean Lower Bound 6,30  
Upper Bound 6,72  
5% Trimmed Mean 6,62  
Median 6,00  
Variance 6,965  
Std. Deviation 2,639  
Minimum 1  
Maximum 10  
Range 9  
Interquartile Range 4  
Skewness -,425 ,100
Kurtosis -,605 ,199
Log

FREQUENCIES VARIABLES=V3_6
  /BARCHART PERCENT
  /ORDER=ANALYSIS.
Frequencies
NotesNotes, table, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 14 rows
Output Created 05-AUG-2023 22:27:02
Comments  
Input Data C:\0_munka\2022_11_04_KUT_jegyzet_heal-all_background\007_elemzes_leiro\2023_07_18_AB_N2320_cimkezes_eng.sav
Active Dataset DataSet1
Filter filter_$ ~ (V4_6 = 2 AND COUNTRY ~= "HU") AND ~ (V4_6 = 3 AND COUNTRY ~= "RO-ER") AND ~ (V4_6 = 4 AND COUNTRY ~= "IT")AND V4_6 = 2 (FILTER)
Weight <none>
Split File <none>
N of Rows in Working Data File 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=V3_6
/BARCHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00,27
Elapsed Time 00:00:00,27
Frequencies
StatisticsStatistics, table, V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?), 1 layers, 0 levels of column headers and 2 levels of row headers, table with 3 columns and 4 rows
V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?) V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?)
N Valid 600
Missing 0
Frequencies
V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?)V3_6 How would you describe tourism habits AFTER COVID (2022)? (City or countryside?), table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Frequency Percent Valid Percent Cumulative Percent
Valid 1 rather city 79 13,2 13,2 13,2
2 49 8,2 8,2 21,3
3 52 8,7 8,7 30,0
4 41 6,8 6,8 36,8
5 100 16,7 16,7 53,5
6 107 17,8 17,8 71,3
7 51 8,5 8,5 79,8
8 57 9,5 9,5 89,3
9 17 2,8 2,8 92,2
10 rather countryside 47 7,8 7,8 100,0
Total 600 100,0 100,0  
Frequencies