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Checking the Assumptions of Rasch's Model for Speed Tests

机译:检查Rasch模型的速度测试假设

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摘要

Two new tests for a model for the response times on pure speed tests by Rasch (1960) are proposed. The model is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and unknown rate parameters. The rate parameters are decomposed in a subject ability parameter and a test difficulty parameter. By treating the ability as a gamma distributed random variable, maximum marginal likelihood (MML) estimators for the test difficulty parameters and the parameters of the ability distribution are easily derived. Also the model tests proposed here pertain to the framework of MML. Two tests or modification indices are proposed. The first one is focused on the assumption of local stochastic independence, the second one on the assumption of the test characteristic functions. The tests are based on Lagrange multiplier statistics, and can therefore be computed using the parameter estimates under the null model. Therefore, model violations for all items and pairs of items can be assessed as a by-product of one single estimation run. Power studies and applications to real data are included as numerical examples.
机译:针对Rasch(1960)的纯速度测试的响应时间模型,提出了两个新的测试。该模型基于以下假设:测试响应时间大约是伽马分布的,具有已知的索引参数和未知的速率参数。速率参数被分解为主体能力参数和测试难度参数。通过将能力视为伽玛分布随机变量,可以轻松得出测试难度参数和能力分布参数的最大边际似然(MML)估计量。这里提出的模型测试也与MML框架有关。提出了两个测试或修改指标。第一个重点是假设本地随机独立性,第二个重点是假设测试特征函数。这些测试基于拉格朗日乘数统计,因此可以使用null模型下的参数估计值进行计算。因此,可以将所有项目和项目对的模型违规评估为一次估计运行的副产品。算例包括功率研究和对实际数据的应用。

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