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pro vyhledávání: '"Tomaselli, Venera"'
The present is an introductory summary on the topic of misinformative and fraudolent statistical inferences, in the light of recent attempts to reform social sciences. The manuscript is focused is on the concept of replicability, that is the likeliho
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/74882
Since the broad diffusion of Computer-Assisted survey tools (i.e. web surveys), a lively debate about innovative scales of measure arose among social scientists and practitioners. Implications are relevant for applied Statistics and evaluation resear
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/56336
Autor:
Cantone, Giulio, Tomaselli, Venera
Snowball sampling is the common name for sampling designs on human populations where respondents are requested to share the questionnaire among their social ties. With some exceptions, estimates from snowball samplings are considered biased. However,
Externí odkaz:
http://arxiv.org/abs/2204.01887
A review bomb is a large and quick surge in online reviews about a product, service, or business, coordinated by a group of people willing to manipulate public opinion about that entity. This study challenges the assumption that review bombing is sol
Externí odkaz:
http://arxiv.org/abs/2104.01140
Autor:
Tomaselli, Venera, Sampugnaro, Rossana
Publikováno v:
Migration Letters. 19(6):855-868
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1085950
Publikováno v:
Social Indicators Research, 2020 Aug 01. 151(1), 33-49.
Externí odkaz:
https://www.jstor.org/stable/48731694
This paper deals with the issue of ecological bias in ecological inference. We provide an explicit formulation of the conditions required for the ordinary ecological regression to produce unbiased estimates and argue that, when these conditions are v
Externí odkaz:
http://arxiv.org/abs/1509.03055
Autor:
Tomaselli, Venera1 (AUTHOR) venera.tomaselli@unict.it, Cantone, Giulio Giacomo2 (AUTHOR)
Publikováno v:
Social Indicators Research. May2024, Vol. 173 Issue 1, p283-303. 21p.
Publikováno v:
Quality & Quantity; Apr2024, Vol. 58 Issue 2, p1447-1480, 34p
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