To cite psychotree in publications use the references for the relevant functions/data sets: If you use Bradley-Terry trees (bttree) please cite: Strobl C, Wickelmaier F, Zeileis A (2011). “Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning.” _Journal of Educational and Behavioral Statistics_, *36*(2), 135-153. doi:10.3102/1076998609359791 . A BibTeX entry for LaTeX users is @Article{, title = {Accounting for Individual Differences in {B}radley-{T}erry Models by Means of Recursive Partitioning}, author = {Carolin Strobl and Florian Wickelmaier and Achim Zeileis}, journal = {Journal of Educational and Behavioral Statistics}, year = {2011}, volume = {36}, number = {2}, pages = {135--153}, doi = {10.3102/1076998609359791}, } If you use Rasch trees (raschtree) please cite: Strobl C, Kopf J, Zeileis A (2015). “Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model.” _Psychometrika_, *80*(2), 289-316. doi:10.1007/s11336-013-9388-3 . A BibTeX entry for LaTeX users is @Article{, title = {Rasch Trees: A New Method for Detecting Differential Item Functioning in the {R}asch Model}, author = {Carolin Strobl and Julia Kopf and Achim Zeileis}, journal = {Psychometrika}, year = {2015}, volume = {80}, number = {2}, pages = {289--316}, doi = {10.1007/s11336-013-9388-3}, } If you use rating scale or partial credit trees (rstree/pctree) please cite: Komboz B, Zeileis A, Strobl C (2018). “Tree-Based Global Model Tests for Polytomous Rasch Models.” _Educational and Psychological Measurement_, *78*(1), 128-166. doi:10.1177/0013164416664394 . A BibTeX entry for LaTeX users is @Article{, title = {Tree-Based Global Model Tests for Polytomous {R}asch Models}, author = {Basil Komboz and Achim Zeileis and Carolin Strobl}, journal = {Educational and Psychological Measurement}, year = {2018}, volume = {78}, number = {1}, pages = {128--166}, doi = {10.1177/0013164416664394}, } If you use MPT trees (mpttree) please cite: Wickelmaier F, Zeileis A (2018). “Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models.” _Behavior Research Methods_, *50*(3), 1217-1233. doi:10.3758/s13428-017-0937-z . A BibTeX entry for LaTeX users is @Article{, title = {Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models}, author = {Florian Wickelmaier and Achim Zeileis}, journal = {Behavior Research Methods}, year = {2018}, volume = {50}, number = {3}, pages = {1217--1233}, doi = {10.3758/s13428-017-0937-z}, } If you use the SPIEGEL Studentenpisa data subsample (SPISA) please cite: Trepte S, Verbeet M (eds.) (2010). _Allgemeinbildung in Deutschland - Erkenntnisse aus dem SPIEGEL Studentenpisa-Test_. VS Verlag, Wiesbaden. doi:10.1007/978-3-531-92543-1 . A BibTeX entry for LaTeX users is @Book{, title = {{A}llgemeinbildung in {D}eutschland -- Erkenntnisse aus dem {SPIEGEL} {S}tudentenpisa-{T}est}, editor = {Sabine Trepte and Markus Verbeet}, year = {2010}, publisher = {VS Verlag}, address = {Wiesbaden}, doi = {10.1007/978-3-531-92543-1}, }