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Behavior Research Methods|July 13, 2026
Estimating sample size in conceptual property norms by standardizing coverageEnrique Canessa, Sergio E Chaigneau, Rodrigo LagosCognition|October 7, 2008
Creators' intentions bias judgments of function independently from causal inferencesSergio E Chaigneau, Ramón D Castillo, Luis MartínezActa Psychologica|December 2, 2008
Situational information contributes to object categorization and inferenceSergio E Chaigneau, Lawrence W Barsalou, Mojdeh ZamaniCognitive Processing|October 16, 2020
Eliciting semantic properties: methods and applicationsSergio E Chaigneau, Enrique Canessa, Alessandro Lenci, et al.Behavior Research Methods|June 24, 2017
The role of variability in the property listing taskSergio E Chaigneau, Enrique Canessa, Carlos Barra, et al.Journal of Experimental Psychology. General|December 9, 2004
Assessing the causal structure of functionSergio E Chaigneau, Lawrence W Barsalou, Steven A SlomanCognitive Processing|July 11, 2020
Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm dataEnrique Canessa, Sergio E Chaigneau, Sebastián Moreno, et al.Behavior Research Methods|March 23, 2022
CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studiesEnrique Canessa, Sergio E Chaigneau, Sebastián Moreno, et al.Behavior Research Methods|October 6, 2025
Towards scalable and reliable coding of semantic property norms: ChatGPT vs. an improved AC-PLTDiego Ramos, Sebastián Moreno, Enrique Canessa, et al.Behavior Research Methods|July 25, 2020
How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecologyEnrique Canessa, Sergio E Chaigneau, Rodrigo Lagos, et al.Pageof 3