缓慢和快速对象响应之间的有条件依赖:使用潜空间对象响应建模方法
Nana Kim1, Minjeong Jeon2, Ivailo Partchev3
1Department of Educational Psychology, College of Education and Human Development, University of Minnesota, Twin-Cities, MN 55455, USA.
Journal of Intelligence
|February 23, 2024
概括
这项研究探讨了认知测试中的反应准确性和时间在个人和项目之间如何变化. 使用潜空间物体响应理论 (LSIRT),它揭示了认知测试表现的个性化模式.
科学领域:
- 认知心理学 认知心理学
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
背景情况:
- 以往对认知测试的研究通常假定响应准确度和响应时间之间存在条件依赖的统一模式.
- 然而,认知能力和物品特征的个体差异表明这种依赖可能是异质的.
- 了解这种异质性对于准确评估认知过程至关重要.
研究的目的:
- 在认知测试中调查项目和人特异性的项目响应和响应时间之间的条件依赖.
- 探索不同受访者和项目之间这种关系的异质性.
- 为了提供对认知测试行为更细致的了解.
主要方法:
- 采用潜伏空间物体响应理论 (LSIRT) 方法.
- 使用交互图来可视化项目-响应者交互中的条件依赖.
- 通过将LSIRT模型应用于缓慢和快速响应组,集成响应时间数据.
主要成果:
- 证实了物品响应和响应时间之间的条件依赖的存在和一般模式,与之前的研究一致.
- 在所有受访者之间,在这种有条件依赖中表现出显著的异质性.
- 在准确度和响应时间之间的关系中确定了个体特异性模式.
结论:
- 在认知测试中,响应准确度和响应时间之间的条件依赖性不是统一的,但在个人和项目之间有所不同.
- 使用交互地图的LSIRT有效地可视化和分析这种异质性.
- 研究结果提供了对测试过程中个体认知过程的更深入的见解,并对测试设计和解释有实际意义.
更多相关视频
09:27Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
10.0K
06:48Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
9.2K
相关概念视频
01:16Response Surface Methodology
130
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
130
01:29Contingency Table
2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
01:21Friedman Two-way Analysis of Variance by Ranks
196
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
196
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
01:26Longitudinal Studies
160
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
160
01:17Two-Way ANOVA
2.6K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.6K