Free versus anchored numerical estimation: A unified approach
详细信息 查看全文
- 作者：John E. Opfera ; opfer.7@osu.edu" class="auth_mail" title="E-mail the corresponding author ; Clarissa A. Thompsonb ; 1 ; cthomp77@kent.edu" class="auth_mail" title="E-mail the corresponding author ; Dan Kima
- 关键词：Numerical cognition ; Estimation ; Learning ; Cognitive development
- 刊名：Cognition
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：149
- 期：Complete
- 页码：11-17
- 全文大小：589 K
文摘
- class="listitem" id="list_l0005">
- class="label">•
Rival estimation theories rest on data yielded by different methods.
- class="label">•
Effects of anchors and sampling were tested in 2 × 2 design.
- class="label">•
Free and anchored estimates were best predicted by a mixed log-linear model.
- class="label">•
Logarithmicity of estimates declined as a function of age and anchors.