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Author (up) 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
  Year 2021 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods  
  Volume 53 Issue Pages 354370  
  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:  
  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  
  Call Number UAI @ eduardo.moreno @ Serial 1210  
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