has crs west-hungarian research institute ii. international workshop széchenyi istván university...

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 Institute9022 Győr, Liszt F. u. 10. 9002 Győr, Pf. 420.

Tel:06-96/516-575, Fax: 06-96/516-579ptoth@rkk.hu

projektUniRegio

•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

• Interviews(presidents, coordinators of foreign affairs, student council-, city council representatives)

• Survey(students)

• Document analisys(statistics, tender documentations, development plans, etc.)

Methods of Research

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.)

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)

BDF 2.811

NYME 5.225

SZE 6.837

GYHF 61

BME-GÉK 95

BGF-PSZFK-ZA 1.138

PTE EFK 316

VE-GMK 931

VE-NK 371

----------------------------------------Total: 17.792 students in

study population

7 cities, 11 institutions, 18 departments

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

Raw database10-15 % of the base population

•Additional survey to fill chart-gaps

using questioners

•Simple random sampling in too crowded cells

Methodology of Survey III.

Quota chart1500 elements in the chart

Representative Sample – SPSS Database

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 Institute9022 Győr, Liszt F. u. 10. 9002 Győr, Pf. 420.

Tel:06-96/516-575, Fax: 06-96/516-579ptoth@rkk.hu