Measuring Individual Differences in Implicit Learning with Artificial Grammar Learning Tasks: Conceptual and Methodological Conundrums
Measuring Individual Differences in Implicit Learning with Artificial Grammar Learning Tasks: Conceptual and Methodological Conundrums
复制标题
通过人工语法学习任务测量内隐学习的个体差异:概念和方法难题
DOI:
10.1027/2151-2604/a000280
复制
发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Hagemann
中科院分区:
文献类型:
--
作者:
Danner;Hagemann
Implicit learning can be defined as learning without intention or awareness. We discuss conceptually and investigate empirically how individual differences in implicit learning can be measured with artificial grammar learning (AGL) tasks. We address whether participants should be instructed to rate the grammaticality or the novelty of letter strings and look at the impact of a knowledge test on measurement quality. We discuss these issues from a conceptual perspective and report three experiments which suggest that (1) the reliability of AGL is moderate and too low for individual assessments,(2) a knowledge test decreases task consistency and increases the correlation with reportable grammar knowledge, and (3) performance in AGL tasks is independent from general intelligence and educational attainment.
登录
查看更多内容
DOI:
10.1037/0278-7393.22.1.169
发表时间:
1996-01-01
影响因子:
2.6
作者:
Knowlton, BJ;Squire, LR
通讯作者:
Squire, LR
影响因子:
3.8
作者:
Schiff R;Katan P
通讯作者:
Katan P
影响因子:
3
作者:
Danner, Daniel;Hagemann, Dirk;Funke, Joachim
通讯作者:
Funke, Joachim
影响因子:
3
作者:
Roth, Bettina;Becker, Nicolas;Spinath, Frank M.
通讯作者:
Spinath, Frank M.
影响因子:
3.4
作者:
A. Reber;Rhianon Allen
通讯作者:
Rhianon Allen