Literature DB >> 23055168

Semantic memory: a feature-based analysis and new norms for Italian.

Maria Montefinese1, Ettore Ambrosini, Beth Fairfield, Nicola Mammarella.   

Abstract

Semantic norms for properties produced by native speakers are valuable tools for researchers interested in the structure of semantic memory and in category-specific semantic deficits in individuals following brain damage. The aims of this study were threefold. First, we sought to extend existing semantic norms by adopting an empirical approach to category (Exp. 1) and concept (Exp. 2) selection, in order to obtain a more representative set of semantic memory features. Second, we extensively outlined a new set of semantic production norms collected from Italian native speakers for 120 artifactual and natural basic-level concepts, using numerous measures and statistics following a feature-listing task (Exp. 3b). Finally, we aimed to create a new publicly accessible database, since only a few existing databases are publicly available online.

Entities:  

Mesh:

Year:  2013        PMID: 23055168     DOI: 10.3758/s13428-012-0263-4

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  14 in total

1.  Semantic similarity between old and new items produces false alarms in recognition memory.

Authors:  Maria Montefinese; Gian Daniele Zannino; Ettore Ambrosini
Journal:  Psychol Res       Date:  2014-09-30

2.  Pupil dilation as an indicator of future thinking.

Authors:  Mohamad El Haj; Ahmed A Moustafa
Journal:  Neurol Sci       Date:  2020-07-10       Impact factor: 3.307

3.  How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology.

Authors:  Enrique Canessa; Sergio E Chaigneau; Rodrigo Lagos; Felipe A Medina
Journal:  Behav Res Methods       Date:  2021-02

4.  Category production norms for 117 concrete and abstract categories.

Authors:  Briony Banks; Louise Connell
Journal:  Behav Res Methods       Date:  2022-06-01

5.  CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studies.

Authors:  Enrique Canessa; Sergio E Chaigneau; Sebastián Moreno; Rodrigo Lagos
Journal:  Behav Res Methods       Date:  2022-03-22

6.  The RK processor: A program for analysing metaphor and word feature-listing data.

Authors:  J Nick Reid; Albert Katz
Journal:  Behav Res Methods       Date:  2021-06-15

7.  Semantic significance: a new measure of feature salience.

Authors:  Maria Montefinese; Ettore Ambrosini; Beth Fairfield; Nicola Mammarella
Journal:  Mem Cognit       Date:  2014-04

8.  Inferior parietal lobule is sensitive to different semantic similarity relations for concrete and abstract words.

Authors:  Maria Montefinese; Paola Pinti; Ettore Ambrosini; Ilias Tachtsidis; David Vinson
Journal:  Psychophysiology       Date:  2020-12-19       Impact factor: 4.348

9.  What is the right place for atypical exemplars? Commentary: The right hemisphere contribution to semantic categorization: a TMS study.

Authors:  Maria Montefinese; Marco Ciavarro; Ettore Ambrosini
Journal:  Front Psychol       Date:  2015-09-08

10.  Nencki Affective Word List (NAWL): the cultural adaptation of the Berlin Affective Word List-Reloaded (BAWL-R) for Polish.

Authors:  Monika Riegel; Małgorzata Wierzba; Marek Wypych; Łukasz Żurawski; Katarzyna Jednoróg; Anna Grabowska; Artur Marchewka
Journal:  Behav Res Methods       Date:  2015-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.