2002
DOI: 10.1023/a:1014578218041
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Cited by 43 publications
(15 citation statements)
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“…In this model, WM consists of two short-term storage systems (or slave systems) and a central executive component that allows the information to be stored and manipulated in the two slave-systems. This model has received a strong support, and several independent studies with children indicated that it was superior compared to numerous alternative WM models (Alloway, Gathercole, & Pickering, 2006;Giofrè, Mammarella, & Cornoldi, 2013). The importance of WM also relies on this construct's good predictive value.…”
Section: Running Head: Separating Math From Anxietymentioning
confidence: 97%
“…In this model, WM consists of two short-term storage systems (or slave systems) and a central executive component that allows the information to be stored and manipulated in the two slave-systems. This model has received a strong support, and several independent studies with children indicated that it was superior compared to numerous alternative WM models (Alloway, Gathercole, & Pickering, 2006;Giofrè, Mammarella, & Cornoldi, 2013). The importance of WM also relies on this construct's good predictive value.…”
Section: Running Head: Separating Math From Anxietymentioning
confidence: 97%
“…Math anxiety is thought to be related to other experiences of anxiety, such as general anxiety or test anxiety (Kazelskis, 1998;Kazelskis et al, 2000;Ashcraft, 2002;Suárez-Pellicioni et al, 2015;Dowker et al, 2016). However, math anxiety is associated with fairly specific negative emotions, thoughts, and performance deficits in mathematics; increased math anxiety is associated with deficits in math performance but not other difficult cognitive tasks or academic domains (Hopko et al, 2002;Pizzie and Kraemer, 2018;Pizzie et al, 2020a). High math anxious (HMA) individuals report increased negative experiences with mathematics, and math anxiety is also associated with decreases in math performance, with math anxious individuals showing decreased accuracy or proficiency in mathematics (Ma, 1999;Ramirez et al, 2013;Namkung et al, 2019).…”
Section: Math Anxietymentioning
confidence: 99%
“…This was lower than the recommended power of .80 for Social Science research (Cohen, 1988). However, the sample size was comparable to other studies of attentional bias (Egloff & Hock, 2003;Hopko et al, 2002;MacLeod et al, 2007). Second, the small sample size precluded an investigation using extreme scorers (e.g., a comparison using the bottom and top 20% of statistics anxiety scorers).…”
Section: Discussionmentioning
confidence: 45%
“…More relevant to the aims of the current study, the role of attentional bias in mathematics anxiety has been studied (Hopko, McNeil, Gleason, & Rabalais, 2002). Participants were divided into two groups: low mathematics anxiety group (n = 17; bottom 20% in mathematics anxiety scores among an initial sample of 459) and high mathematics anxiety group (n = 25; top 20% in mathematics anxiety scores).…”
Section: Responsibility Of the Editorsmentioning
confidence: 99%