Thomas Rusch
Thomas Rusch
WU Vienna (Vienna University of Economics and Business)
Verified email at wu.ac.at
Title
Cited by
Cited by
Year
Extended Rasch modeling: The eRm package for the application of IRT models in R
P Mair, R Hatzinger
Department of Statistics and Mathematics, WU Vienna University of Economics …, 2007
407*2007
Customer segmentation using unobserved heterogeneity in the perceived-value-loyalty-intentions link
A Floh, A Zauner, M Koller, T Rusch
Journal of Business Research, 0
157*
Capturing the familiness of family businesses: Development of the family influence familiness scale (FIFS)
H Frank, A Kessler, T Rusch, J Suess–Reyes, D Weismeier–Sammer
Entrepreneurship Theory and Practice 41 (5), 709-742, 2017
1102017
Goodness-of-fit assessment in multidimensional scaling and unfolding
P Mair, I Borg, T Rusch
Multivariate behavioral research 51 (6), 772-789, 2016
612016
Linking cause assessment, corporate philanthropy, and corporate reputation
I Szőcs, BB Schlegelmilch, T Rusch, HM Shamma
Journal of the Academy of Marketing Science 44 (3), 376-396, 2016
402016
Building capacity within community-based organizations: New directions for mental health promotion for Latino immigrant families in urban poverty
D Rusch, SL Frazier, M Atkins
Administration and Policy in Mental Health and Mental Health Services …, 2015
272015
Breaking free from the limitations of classical test theory: Developing and measuring information systems scales using item response theory
T Rusch, PB Lowry, P Mair, H Treiblmaier
Information & Management 54 (2), 189-203, 2017
242017
Package ‘eRm’
P Mair, R Hatzinger, MJ Maier, T Rusch, MP Mair
R Foundation, Vienna, Austria, 2020
232020
Model trees with topic model preprocessing: An approach for data journalism illustrated with the WikiLeaks Afghanistan war logs
T Rusch, P Hofmarcher, R Hatzinger, K Hornik
The Annals of Applied Statistics 7 (2), 613-639, 2013
232013
IRT models with relaxed assumptions in eRm: A manual-like instruction
R Hatzinger, T Rusch
Psychology Science Quarterly 51 (1), 87, 2009
21*2009
Psychometrics with R: A review of CRAN packages for item response theory
T Rusch, P Mair, R Hatzinger
WU Vienna University of Economics and Business, 2013
192013
Gaining insight with recursive partitioning of generalized linear models
T Rusch, A Zeileis
Taylor & Francis, 2012
162012
Persuasibility and the self–Investigating heterogeneity among consumers
M Koller, A Floh, A Zauner, T Rusch
Australasian Marketing Journal (AMJ) 21 (2), 94-104, 2013
132013
Influencing elections with statistics: Targeting voters with logistic regression trees
T Rusch, I Lee, K Hornik, W Jank, A Zeileis
The Annals of Applied Statistics 7 (3), 1612-1639, 2013
132013
The grand old party–a party of values?
P Mair, T Rusch, K Hornik
SpringerPlus 3 (1), 697, 2014
112014
Extended Rasch Modeling
P Mair, R Hatzinger, MJ Maier, T Rusch
R Package2015, 2010
102010
Tests of additivity in mixed and fixed effect two-way ANOVA models with single sub-class numbers
D Rasch, T Rusch, M Šimečková, KD Kubinger, K Moder, P Šimeček
Statistical Papers 50 (4), 905-916, 2009
82009
Measuring the stability of results from supervised statistical learning
M Philipp, T Rusch, K Hornik, C Strobl
Journal of Computational and Graphical Statistics 27 (4), 685-700, 2018
62018
Modeling mortality rates in the Wikileaks Afghanistan war logs
T Rusch, P Hofmarcher, R Hatzinger, K Hornik
WU Vienna University of Economics and Business, 2011
62011
Fifty Years of Classification and Regression Trees Discussion
T Rusch, A Zeileis
International Statistical Review 82 (3), 361-367, 2014
5*2014
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