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personal data approved: 2016. IX. 02.
Personal data
name Katalin Balázs
year of birth 1979
name of institution
doctoral school
DE Doctoral School of Human Sciences (Academic staff member)
accreditation statement submitted to: University of Debrecen
Contact details
E-mail address balazskatadragon.unideb.hu
phone number +36 52 512-900
Academic title
scientific degree, title Ph.D.
year degree was obtained 2007
discipline to which degree belongs psychology
institution granting the degree K.U. Leuven, Debreceni Egyetem (to be translated)
Employment
2007 - University of Debrecen
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0
students who obtained their degrees:
  Thesis topic proposals
Research
research area persuasion, advertisement psychology, consumer behavior, psychometrics
research field in which current research is conducted psychology
economics
Publications
2012

Balázs K, Barkó M, Vancza G: Társadalmi célú reklámok kreativitássablonjai és hatásmechanizmusuk, ALKALMAZOTT PSZICHOLÓGIA 1: pp. 5-24.
type of document: Journal paper/Article
number of independent citations: 2
language: Hungarian
2011

Loughnan Steve, Kuppens Peter, Allik Jüri, Balázs Katalin, de Lemus Soledad, Dumont Kitty, Gargurevich Rafael, Hidegkuti István, Leidner Bernhard, Matos Lennia, Park Joonha, Realo Anu, Shi Junqi, Sojo Victor Eduardo, Tong Yuk-yue, Vaes Jeroen, Verduyn Philippe, Yeung Victoria, Haslam Nick: Economic inequality is linked to biased self-perception, PSYCHOLOGICAL SCIENCE 22: (10) pp. 1254-1258.
type of document: Journal paper/Article
number of independent citations: 41
language: English
DOI 
2009

Balázs K, Csízik T, Hőgye-Nagy Á, Münnich Á: A páros összehasonlítás Thurstone-féle módszerének alkalmazása a pszichológiában I., ALKALMAZOTT PSZICHOLÓGIA XI: (1-2) pp. 127-146.
type of document: Journal paper/Article
number of independent citations: 1
language: Hungarian
2006

Balázs Katalin, Hidegkuti István, De Boeck Paul: Detecting heterogeneity in logistic regression models, APPLIED PSYCHOLOGICAL MEASUREMENT 30: (4) pp. 322-344.
type of document: Journal paper/Article
number of independent citations: 7
language: English
2006

Rijmen Frank, Tuerlinckx Francis, Meulders Michel, Smits Dirk J M, Balázs Katalin: Mixed model estimation methods for item response models, In: Szerk.: Smith Everett V Jr, Szerk.: Smith Richard M Rasch Measurement: Advanced and Specialized Applications. Chicago: University of Illinois Press, 2006. p. &.
type of document: Part of book/Szaktanulmány (to be translated)
language: English
2005

Rijmen Frank, Tuerlinckx Francis, Meulders Michel, Smits Dirk J M, Balázs Katalin: Mixed model estimation methods for the Rasch model, JOURNAL OF APPLIED MEASUREMENT 6: (3) pp. 273-288.
type of document: Journal paper/Article
number of independent citations: 7
language: English
2001

Münnich Ákos, Balázs Katalin, Fedor György, Hidegkuti István: Egyszerű (teszt-) skálaszerkesztési módszerek, ALKALMAZOTT PSZICHOLÓGIA 3: (3) pp. 65-87.
type of document: Journal paper/Article
number of independent citations: 6
language: Hungarian
Number of independent citations to these publications:64 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
34
number of scientific publications:
43
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
8 
scientific publications published abroad that meet the accreditation criteria:
7
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
1
number of independent citations to scientific publications and creative works:
69


2017. III. 21.
ODT ülés
Az ODT következő ülésére 2017. május 5-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2343 ( 2017. II. 28. )