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Author Canessa, E.; Chaigneau, S.E. doi  openurl
  Title Mathematical regularities of data from the property listing task Type Journal Article
  Year 2020 Publication Journal Of Mathematical Psychology Abbreviated Journal J. Math. Psychol.  
  Volume 97 Issue Pages 19 pp  
  Keywords Concepts; Property listing task; Conceptual properties norms; Semantic access  
  Abstract To study linguistically coded concepts, researchers often resort to the Property Listing Task (PLT). In a PLT, participants are asked to list properties that describe a concept (e.g., for DOG, subjects may list “is a pet”, “has four legs”, etc.), which are then coded into property types (i.e., superficially dissimilar properties such as “has four legs” and “is a quadruped” may be coded as “four legs”). When the PLT is done for many concepts, researchers obtain Conceptual Properties Norms (CPNs), which are used to study semantic content and as a source of control variables. Though the PLT and CPNs are widely used across psychology, there is a lack of a formal model of the PLT, which would provide better analysis tools. Particularly, nobody has attempted analyzing the PLT's listing process. Thus, in the current work we develop a mathematical description of the PLT. Our analyses indicate that several regularities should be found in the observable data obtained from a PLT. Using data from three different CPNs (from 3 countries and 2 different languages), we show that these regularities do in fact exist and generalize well across different CPNs. Overall, our results suggest that the description of the regularities found in PLT data may be fruitfully used in the study of concepts. (C) 2020 Elsevier Inc. All rights reserved.  
  Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Ctr Cognit Res CINCO, Sch Psychol, Av Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl  
  Corporate Author Thesis  
  Publisher Academic Press Inc Elsevier Science Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0022-2496 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000539438000007 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1192  
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Author Canessa, E.; Chaigneau, S.E.; Lagos, R.; Medina, F.A. doi  openurl
  Title How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology Type Journal Article
  Year 2020 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods  
  Volume to appear Issue Pages 17 pp  
  Keywords Conceptual properties norming studies; Property listing task; Parameter estimation; Sample size determination; Sample coverage  
  Abstract Conceptual properties norming studies (CPNs) ask participants to produce properties that describe concepts. From that data, different metrics may be computed (e.g., semantic richness, similarity measures), which are then used in studying concepts and as a source of carefully controlled stimuli for experimentation. Notwithstanding those metrics' demonstrated usefulness, researchers have customarily overlooked that they are only point estimates of the true unknown population values, and therefore, only rough approximations. Thus, though research based on CPN data may produce reliable results, those results are likely to be general and coarse-grained. In contrast, we suggest viewing CPNs as parameter estimation procedures, where researchers obtain only estimates of the unknown population parameters. Thus, more specific and fine-grained analyses must consider those parameters' variability. To this end, we introduce a probabilistic model from the field of ecology. Its related statistical expressions can be applied to compute estimates of CPNs' parameters and their corresponding variances. Furthermore, those expressions can be used to guide the sampling process. The traditional practice in CPN studies is to use the same number of participants across concepts, intuitively believing that practice will render the computed metrics comparable across concepts and CPNs. In contrast, the current work shows why an equal number of participants per concept is generally not desirable. Using CPN data, we show how to use the equations and discuss how they may allow more reasonable analyses and comparisons of parameter values among different concepts in a CPN, and across different CPNs.  
  Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1554-351x ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000551760700002 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1210  
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Author Chaigneau, S.E.; Canessa, E.; Barra, C.; Lagos, R. pdf  doi
openurl 
  Title The role of variability in the property listing task Type Journal Article
  Year 2018 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods  
  Volume 50 Issue 3 Pages 972-988  
  Keywords Property listing task; Conceptual property norms; Inter-subject variability; Conceptual agreement theory  
  Abstract It is generally believed that concepts can be characterized by their properties (or features). When investigating concepts encoded in language, researchers often ask subjects to produce lists of properties that describe them (i.e., the Property Listing Task, PLT). These lists are accumulated to produce Conceptual Property Norms (CPNs). CPNs contain frequency distributions of properties for individual concepts. It is widely believed that these distributions represent the underlying semantic structure of those concepts. Here, instead of focusing on the underlying semantic structure, we aim at characterizing the PLT. An often disregarded aspect of the PLT is that individuals show intersubject variability (i.e., they produce only partially overlapping lists). In our study we use a mathematical analysis of this intersubject variability to guide our inquiry. To this end, we resort to a set of publicly available norms that contain information about the specific properties that were informed at the individual subject level. Our results suggest that when an individual is performing the PLT, he or she generates a list of properties that is a mixture of general and distinctive properties, such that there is a non-linear tendency to produce more general than distinctive properties. Furthermore, the low generality properties are precisely those that tend not to be repeated across lists, accounting in this manner for part of the intersubject variability. In consequence, any manipulation that may affect the mixture of general and distinctive properties in lists is bound to change intersubject variability. We discuss why these results are important for researchers using the PLT.  
  Address [Chaigneau, Sergio E.; Canessa, Enrique] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: sergio.chaigneau@uai.cl  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1554-351x ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000434639400008 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 876  
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