@misc{IvenHansenAndersetal.2020,
  author    = {Iven, Claudia and Hansen, Bernd and Anders, Kristina and Starke, Andreas and Richardt, Kirsten and Pr{\"u}ß, Holger and El Meskioui, Martina and Haase, Tobias and Mahlberg, Lea and Wiehe, Lea and de Beer, Carola and Niepelt Karampamapa, Rebekka and Hofmann, Andrea and Stadie, Nicole and Hanne, Sandra and Thomson, Jenny and Sch{\"a}fer, Blanca and Huttenlauch, Clara and Wartenburger, Isabell and Weiland, Katharina and Wirsam, Anke and Hartung, Julia and Wahl, Michael and Unger, Julia and Buschmann, Anke and Seefeld, Martin and Bethge, Anita and Fieder, Nora and Rahman, Rasha Abdel and Nousair, Iman and Klassert, Annegret and Wellmann, Caroline and Verbree, Rahel and van Rij, Jacolien and Sprenger, Simone and M{\"a}hl, Anna Luisa and Schneider, Kathleen and Kutz, Anne and Kaps, Hella and Frank, Ulrike and Brekeller, Sophie and Ryll, Katja},
  title     = {Spektrum Patholinguistik Band 12. Schwerpunktthema: Weg(e) mit dem Stottern: Therapie und Selbsthilfe f{\"u}r Kinder und Erwachsene},
  series = {Spektrum Patholinguistik},
  journal   = {Spektrum Patholinguistik},
  number    = {12},
  editor    = {Breitenstein, Sarah and Burmester, Juliane and Yetim, {\"O}zlem and Fritzsche, Tom},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-479-1},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-43700},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437002},
  pages     = {viii, 257},
  year      = {2020},
  abstract  = {Das 12. Herbsttreffen Patholinguistik mit dem Schwerpunktthema »Weg(e) mit dem Stottern: Therapie und Selbsthilfe f{\"u}r Kinder und Erwachsene« fand am 24.11.2018 in Potsdam statt. Das Herbsttreffen wird seit 2007 j{\"a}hrlich vom Verband f{\"u}r Patholinguistik e.V. (vpl) durchgef{\"u}hrt. Der vorliegende Tagungsband beinhaltet die Vortr{\"a}ge zum Schwerpunktthema sowie Beitr{\"a}ge der Posterpr{\"a}sentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.},
  language  = {de}
}
@article{FiederAbdelRahmanWartenburger2020,
  author    = {Fieder, Nora and Abdel Rahman, Rasha and Wartenburger, Isabell},
  title     = {Die Konkurrenz schl{\"a}ft nie!},
  series = {Spektrum Patholinguistik},
  journal   = {Spektrum Patholinguistik},
  number    = {12},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-479-1},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-46959},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-469594},
  pages     = {181 -- 196},
  year      = {2020},
  language  = {de}
}
@article{FiederWartenburgerAbdelRahman2018,
  author    = {Fieder, Nora and Wartenburger, Isabell and Abdel Rahman, Rasha},
  title     = {A close call},
  series = {Memory \& cognition},
  volume    = {47},
  journal   = {Memory \& cognition},
  number    = {1},
  publisher = {Springer},
  address   = {New York},
  issn      = {0090-502X},
  doi       = {10.3758/s13421-018-0856-y},
  pages     = {145 -- 168},
  year      = {2018},
  abstract  = {The present study investigated how lexical selection is influenced by the number of semantically related representations (semantic neighbourhood density) and their similarity (semantic distance) to the target in a speeded picture-naming task. Semantic neighbourhood density and similarity as continuous variables were used to assess lexical selection for which competitive and noncompetitive mechanisms have been proposed. Previous studies found mixed effects of semantic neighbourhood variables, leaving this issue unresolved. Here, we demonstrate interference of semantic neighbourhood similarity with less accurate naming responses and a higher likelihood of producing semantic errors and omissions over accurate responses for words with semantically more similar (closer) neighbours. No main effect of semantic neighbourhood density and no interaction between semantic neighbourhood density and similarity was found. We assessed further whether semantic neighbourhood density can affect naming performance if semantic neighbours exceed a certain degree of semantic similarity. Semantic similarity between the target and each neighbour was used to split semantic neighbourhood density into two different density variables: The number of semantically close neighbours versus distant neighbours. The results showed a significant effect of close, but not of distant, semantic neighbourhood density: Naming pictures of targets with more close semantic neighbours led to longer naming latencies, less accurate responses, and a higher likelihood for the production of semantic errors and omissions over accurate responses. The results show that word inherent semantic attributes such as semantic neighbourhood similarity and the number of coactivated close semantic neighbours modulate lexical selection supporting theories of competitive lexical processing.},
  language  = {en}
}