simulated dataset (tourist satisfaction)
1. questionnaire
http://kaiwu.city/openfiles/tourist_satisfaction_questionnaire_en.docx
http://kaiwu.city/openfiles/tourist_satisfaction_questionnaire_en.pdf
| No. | variable | variable labels |
| 1 | sid | Respondent ID |
| 2 | gender | gender |
| 3 | byear | Year of birth |
| 4 | region | region |
| 5 | income | monthly income |
| 6 | expense | daily expense |
| 7 | type3 | Destination type: nature, culture and mix |
| 8 | type2 | Destination type: sightseeing vs. participation |
| 9 | thotel | Types of hotel |
| 10 | sat1 | satisfaction: scenery |
| 11 | sat2 | satisfaction: hotel |
| 12 | sat3 | satisfaction: food |
| 13 | sat4 | satisfaction: transportation |
| 14 | sat5 | satisfaction: travel agency |
| 15 | sat6 | satisfaction: shopping |
| 16 | ri1 | Importance: amount |
| 17 | ri2 | Importance: publishing date |
| 18 | ri3 | Importance: relevance |
| 19 | ri4 | Importance: positive |
| 20 | ri5 | Importance: credibility |
| 21 | rp1 | Performance: amount |
| 22 | rp2 | Performance: publishing date |
| 23 | rp3 | Performance: relevance |
| 24 | rp4 | Performance: positive |
| 25 | rp5 | Performance: credibility |
| 26 | te1 | thrill |
| 27 | te2 | indulgence |
| 28 | te3 | enjoyment |
| 29 | te4 | excitement |
| 30 | te5 | liberaty |
| 31 | te6 | freedom |
| 32 | te7 | refreshment |
| 33 | te8 | revitalization |
| 34 | zh1 | uncomfortable when there are many people |
| 35 | zh2 | I dislike interpersonal communication |
| 36 | zh3 | I’m not good at interpersonal communication |
| 37 | zh4 | I try to avoid face-to-face communication |
| 38 | zh5 | Going out is a tiring thing for me. |
| 39 | zh6 | I try to avoid going out |
| 40 | zh7 | It’s troublesome for me to go out. |
| 41 | latitude | latitude |
| 42 | longitude | longitude |
| value labels | |
| Value labels gender | |
| 1 | male |
| 2 | female. |
| Value labels region | |
| 1 | Central China |
| 2 | East China |
| 3 | North China |
| 4 | Northeast China |
| 5 | Northwest China |
| 6 | Southwest China |
| 7 | West China. |
| Value labels type3 | |
| 1 | natural scenery |
| 2 | historical scenery |
| 3 | mixed scenery. |
| Value labels type2 | |
| 1 | sightseeing |
| 2 | participation. |
| Value labels thotel | |
| 1 | budget hotel |
| 2 | luxury hotel |
| 3 | bed and breakfast |
| 4 | apartment hotel. |
2. dataset
2.1 csv file
general purpose (without variable labels and value labels)
http://kaiwu.city/openfiles/tourist.csv
or
2.2 Excel file
http://kaiwu.city/openfiles/data_tourist_satisfaction_en.xlsx
or
2.3 SPSS file
http://kaiwu.city/openfiles/data_tourist_satisfaction_en.sav
3. python ipynb file
http://kaiwu.city/openfiles/tourist_EN2024Nov10.ipynb
4.results
http://kaiwu.city/openfiles/academic_report_SPSS_EN.docx
3.1 frequency Analysis（discrete variables）
https://libguides.library.kent.edu/SPSS/FrequenciesCategorical
https://www.spss-tutorials.com/spss-frequencies-command/
https://datatab.net/tutorial/frequency-table
3.2 cross-table（discrete variables）
https://libguides.library.kent.edu/SPSS/Crosstabs
3.3 Descriptive analysis（continuous variables）
https://libguides.library.kent.edu/SPSS/Descriptives
https://www.spss-tutorials.com/spss-descriptives-command/
3.4 custom table
https://www.ibm.com/docs/en/spss-statistics/saas?topic=statistics-custom-tables
http://kaiwu.city/index.php/spss-custom-table
4.relationship between two variables
types of variables (level of measurment)
https://statistics.laerd.com/statistical-guides/types-of-variable.php
https://www.thoughtco.com/independent-and-dependent-variable-examples-606828
https://datatab.net/tutorial/level-of-measurement
4.1 chi-square test
https://libguides.library.kent.edu/SPSS/ChiSquare
https://datatab.net/tutorial/chi-square-test
4.2 independent sample t-test
https://libguides.library.kent.edu/SPSS/IndependentTTest
https://datatab.net/tutorial/unpaired-t-test
4.3 ANOVA
https://libguides.library.kent.edu/SPSS/OneWayANOVA
https://datatab.net/tutorial/anova
4.4 correlation
https://libguides.library.kent.edu/SPSS/PearsonCorr
https://datatab.net/tutorial/correlation
4.5 logistic regression
https://www.spss-tutorials.com/logistic-regression/
https://datatab.net/tutorial/logistic-regression
5.analysis for scales (measurement)
5.1 reliability analysis
https://www.spss-tutorials.com/cronbachs-alpha-in-spss/
https://www.spss-tutorials.com/spss-split-half-reliability/
https://datatab.net/tutorial/cronbachs-alpha
5.2 exploratory factor analysis (EFA) for validity analysis
https://www.spss-tutorials.com/spss-factor-analysis-tutorial/
https://www.spss-tutorials.com/spss-factor-analysis-intermediate-tutorial/
https://www.spss-tutorials.com/apa-reporting-factor-analysis/
https://datatab.net/tutorial/exploratory-factor-analysis
6.export result
https://www.spss-tutorials.com/spss-output/
https://www.spss-tutorials.com/spss-apa-format-descriptives-tables/