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HAS CRS West-Hungarian Research Institute II. International Workshop Széchenyi István University 17. January 2006. Methodology of Higher Education Research.

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Presentation on theme: "HAS CRS West-Hungarian Research Institute II. International Workshop Széchenyi István University 17. January 2006. Methodology of Higher Education Research."— Presentation transcript:

1 HAS CRS West-Hungarian Research Institute II. International Workshop Széchenyi István University 17. January 2006. Methodology of Higher Education Research in Hungary Péter Tóth PhD Student Hungarian Academy of Sciences Centre for Regiona Studies Wet-Hungarian Research Institute 9022 Győr, Liszt F. u. 10. 9002 Győr, Pf. 420. Tel:06-96/516-575, Fax: 06-96/516-579 ptoth@rkk.hu

2 to explore the living crossborder institutional connections to explore the living crossborder personal connections (either professional and common connections) to recognise expectations, future plans, possible links to Austria/Burgerland Aim of Research

3 Interviews (presidents, coordinators of foreign affairs, student council-, city council representatives) Survey (students) Document analisys (statistics, tender documentations, development plans, etc.) Methods of Research

4 Methodology of Survey I. Out of Base Population Institutions, faculties (even if it’s center is in the region) out of region Part-time students (correspondence courses) Students in higher vocational training Full-time students on a passive semester (2005/2006 II.)

5 Methodology of Survey II. Study Population Full time students in tertiary educaton (ISCED 5A) in a basic university or basic college program taken place in the region (Győr-Moson-Sopron, Vas, Zala counties) BDF2.811 NYME5.225 SZE6.837 GYHF 61 BME-GÉK 95 BGF-PSZFK-ZA1.138 PTE EFK 316 VE-GMK 931 VE-NK 371 ---------------------------------------- Total: 17.792 students in study population 7 cities, 11 institutions, 18 departments

6 ONLINE SURVEY Get attention Motivate students Link to survey site Fill it in on their own Output: Raw database Methodology of Survey III. SAMPLING With quotas 5D matrix from Neptun database Institution Faculty Semester Hometown (grouped) Gender Output: Quota chart

7 Raw database 10-15 % of the base population Additional survey to fill chart-gaps using questioners Simple random sampling in too crowded cells Methodology of Survey III. Quota chart 1500 elements in the chart Representative Sample – SPSS Database

8 HAS CRS West-Hungarian Research Institute Thank you for your attention! Péter Tóth PhD Student Hungarian Academy of Sciences Centre for Regiona Studies Wet-Hungarian Research Institute 9022 Győr, Liszt F. u. 10. 9002 Győr, Pf. 420. Tel:06-96/516-575, Fax: 06-96/516-579 ptoth@rkk.hu


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