|Title||Analysis of CAT Precision Depending on Parameters of the Item Pool|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Authors||Maslak, A, Pozdniakov, S|
|Conference Name||IACAT 2017 Conference|
|Publisher||Niigata Seiryo University|
|Conference Location||Niigata, Japan|
|Keywords||CAT, Item parameters, Precision|
The purpose of this research project is to analyze the measurement precision of a latent variable depending on parameters of the item pool. The influence of the following factors is analyzed:
Factor A – range of variation of items in the pool. This factor varies on three levels with the following ranges in logits: a1 – [-3.0; +3.0], a2 - [-4.0; +4.0], a3 - [-5.0; +5.0].
Factor B – number of items in the pool. The factor varies on six levels with the following number of items for every factor: b1 - 128, b2 - 256, b3 – 512, b4 - 1024, b5 – 2048, b6 – 4096. The items are evenly distributed in each of the variation ranges.
Factor C – examinees’ proficiency varies at 30 levels (c1, c2, …, c30), which are evenly distributed in the range [-3.0; +3.0] logit.
The investigation was based on a simulation experiment within the framework of the theory of latent variables.
Response Y is the precision of measurement of examinees’ proficiency, which is calculated as the difference between the true levels of examinees’ proficiency and estimates obtained by means of adaptive testing. Three factor ANOVA was used for data processing.
The following results were obtained:
1. Factor A is significant. Ceteris paribus, the greater the range of variation of items in the pool, the higher the estimation precision is.
2. Factor B is significant. Ceteris paribus, the greater the number of items in the pool, the higher the estimation precision is.
3. Factor C is statistically insignificant at level α = .05. It means that the precision of estimation of examinees’ proficiency is the same within the range of their variation.
4. The only significant interaction among all interactions is AB. The significance of this interaction is explained by the fact that increasing the number of items in the pool decreases the effect of the range of variation of items in the pool.