物品模型参数变化的影响对人参数估计在自动生成物品的计算机自适应测试中.
1Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, USA.
Applied psychological measurement
|June 7, 2023
概括
在心理测试中忽视兄弟项目变化对得分准确度的影响很小,但可能会引入偏差. 增加测试长度可以弥补更大的变化,在线性和适应性测试中具有类似的效果.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 项目响应理论.
背景情况:
- 自动生成的兄弟项目具有类似的心理测量特性,但具有变化.
- 忽视这些变化简化了计算,但可能会影响得分准确度.
- 了解家庭内部变异的影响对于准确的个人参数估计至关重要.
研究的目的:
- 探索项目模型参数变化 (家庭内部变异) 对人参数估计的影响.
- 调查测试长度是否可以弥补更大的模型内部差异.
- 为了确定项目池特征是否会影响家族内部差异的评分影响.
- 将这些效应在线性与计算机自适应测试 (CAT) 中进行比较.
主要方法:
- 使用相关的兄弟模型生成数据,假设对得分具有相同的兄弟模型.
- 操纵包括测试长度,模型内部变化大小和项目模型池特征在内的因素.
- 分析标准误差,真值和估值得分之间的相关性,根平均平方误差 (RMSE) 和偏差.
主要成果:
- 家庭内部变异的增加并没有显著影响得分的标准误差.
- 测试长度补偿了在得分相关性和RMSE方面更大的模型内部变异.
- 观察到得分偏差,倾向于中心,并没有通过测试长度来补偿.
- 计算机自适应测试 (CAT) 显示了类似于线性测试的结果,但效率更高.
结论:
- 虽然标准误差是稳定的,但忽视家庭内部的差异可能会导致偏见的能力估计.
- 建议使用平衡项目模型池来减轻偏差,取消"假易"和"假难"项目效应.
- 测试长度是一个可行的策略,以管理家族内部差异对得分准确性的影响.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
67
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
67
Parametric Survival Analysis: Weibull and Exponential Methods
492
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
492
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
85
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
85
Modeling in Therapy
128
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
128
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
100
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
100
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
164
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
164


