IST Enhances Tourism Students’ Data Analysis Skills through SPSS Training

Tourism and Hospitality 11 September 2026 Pitak Tongkasem
#SDG4 #SDG8
เวอร์ชันภาษาไทย: TH
IST Enhances Tourism Students’ Data Analysis Skills through SPSS Training
EDUCATION & PROFESSIONAL SKILLS

IST Enhances Tourism Students’ Data Analysis Skills through SPSS Training

Hands-on training strengthens students’ competencies in questionnaire design, statistical data analysis, hypothesis testing and result interpretation, supporting both academic research and professional applications.

The International School of Tourism (IST), Suratthani Rajabhat University, through the Tourism and Hospitality Management Program, organized the “SPSS Statistical Data Analysis Training Program” for second- to fourth-year students to strengthen their analytical skills and their ability to apply statistical knowledge in tourism and hospitality contexts.

Developing students with both academic knowledge and professional competencies is an important part of tourism and hospitality education. In today’s tourism industry, data plays an increasingly significant role in decision-making, tourist behavior analysis, customer satisfaction assessment, opinion surveys and service quality evaluation.

The SPSS Statistical Data Analysis Training Program therefore focuses on practice-based learning and provides students with opportunities to develop essential data analysis skills. The training covers research instrument development, variable definition and data coding, data-file creation, fundamental statistical analysis, instrument quality assessment and hypothesis testing.

From Raw Data to Practical Skills

1

Questionnaire and Research Instrument Development

Students learn about question types, variables, data coding and different types of data, while developing a systematic approach to preparing information before entering it into SPSS.

2

Fundamental Statistical Analysis

Participants practice calculating frequencies, percentages, means and standard deviations, as well as developing composite variables for further statistical analysis.

3

Instrument Quality Assessment and Hypothesis Testing

The training introduces group-based statistical analysis, hypothesis formulation and tests of differences between means, helping students understand how to select statistical methods appropriate to their data.

4

Result Interpretation and Professional Application

Students practice examining relationships among qualitative and quantitative variables, interpreting statistical results and applying findings to tourism, hospitality and research contexts.

The program targets 128 second- to fourth-year students in Tourism and Hospitality Management. The activities are held at Banburi Room, Dipangkorn Rasmijoti Building, Suratthani Rajabhat University, providing an appropriate environment for hands-on computer-based learning.

Program Information

  • Program: SPSS Statistical Data Analysis Training
  • Participants: 128 second- to fourth-year Tourism and Hospitality Management students
  • Dates: 28 August and 3 September 2026
  • Venue: Banburi Room, Dipangkorn Rasmijoti Building, Suratthani Rajabhat University
  • Trainer: Asst. Prof. Dr. Aeporn Molee, Information Science and Library Science Program, Faculty of Humanities and Social Sciences, Suratthani Rajabhat University

Beyond learning how to operate SPSS, the program encourages students to develop analytical thinking and systematically interpret information. Such skills can be applied to tourist satisfaction assessment, customer feedback analysis, surveys involving tourism operators and relevant stakeholders, as well as research aimed at developing the tourism and hospitality industry.

The initiative also supports Suratthani Rajabhat University’s strategy to enhance educational quality and develop students’ potential in preparation for employment. By connecting academic knowledge with practical data-analysis skills, the program helps students build competencies that can be applied directly in their future professions.

Alignment with the Sustainable Development Goals

This activity contributes to the Sustainable Development Goals by strengthening students’ academic, technological and professional competencies for lifelong learning and future employment.

SDG Goal Goal Alignment with the Activity
SDG 4 Quality Education SDG 4:
Quality Education
The program promotes practice-based learning and strengthens students’ competencies in data analysis, research and the use of technology, enabling them to apply academic knowledge effectively in their studies and future professions.
SDG 8 Decent Work and Economic Growth SDG 8:
Decent Work and Economic Growth
The activity strengthens employment-related competencies, particularly the ability to collect, analyze and interpret data for tourism, hospitality, market research and service quality assessment, helping prepare students for the labor market.

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