Centre for Data Analysis and Archiving (DAtA Centre)
Sign In
Sign In
Reset Password
  • Courses
    • Teachers
    • Prievious courses
  • Data Archive
    • LiDA Dataverse repository
    • Persistent Identifiers
  • Citizen Science Hub
  • Fr0gLab
  • News
    • Rekomendacijos
  • About
    • Activity reports
  • LT
May 27th-28th 2019 training “Applications of Regression Analysis in Social Sciences”

Description

Methodological training “Applications of Regression Analysis in Social Sciences”

Level: Advanced

Training will be delivered by dr. José M. Echavarren (Pablo de Olavide University Sevilla, Spain).

Methodological training will take place at KTU Faculty of Social Sciences, Humanities and Arts, A. Mickevičiaus str. 37, Survey Laboratory (room 210):
May 27 (Monday) 17:00–20:30
May 28 (Tuesday) 17:00–20:30

Duration of training is 8 acad. hours. Training will be done in English.

Agenda

Day One
Date: 2019 May 27th
16: 45-17: 00 Registration, coffee
17: 00-19: 00 Training session
19: 00-19: 15 Coffee break
19: 15-20: 30 Training session

Day Two
Date: 2019 May 28th
17: 00-19: 00 Training session
19: 00-19: 15 Coffee break
19: 15-20: 30 Training session
20:30 Delivery of certificates

Training is free for KTU SHMMF PhD students and staff. The fee for participants from other KTU faculties – 40 EUR; for other participants – 130 EUR. After completing the training, participants are issued a certificate.

Students

Take a course to view this content

Related Courses

Mokymai4
November 8th-9th 2021 training “Process Tracing Methodology”
Stata
2021 m. spalio mėn. 26 d. mokymai “Socialinių tyrimų duomenų analizė su Stata (Europos socialinio tyrimo duomenų pagrindu)”
Stata
2021 m. spalio mėn. 19 d. mokymai “Socialinių tyrimų duomenų analizė su Stata (Europos socialinio tyrimo duomenų pagrindu)”
Mokymai2
27th September and 4th October 2021 training “Qualitative Interviewing and Data Analysis Training Programme”
Centre for Data Analysis and Archiving (DAtA Centre)
Faculty of social science arts and humanities, Kaunas University of Technology, A. Mickevičiaus g. 37-1100, LT-44244 Kaunas, email: data@ktu.lt