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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

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The Block Item Pocket Method for Reviewable Multidimensional Computerized Adaptive Testing.

Zhe Lin¹, Ping Chen¹, Tao Xin¹

¹Beijing Normal University, China.

Applied Psychological Measurement

|December 11, 2020

Summary

This summary is machine-generated.

A new block item pocket (BIP) method allows item review in computerized adaptive testing (CAT) without sacrificing estimation precision. This reliable solution enhances both unidimensional (UCAT) and multidimensional (MCAT) adaptive testing systems.

Keywords:

block item pocket computerized adaptive testing item review reviewable CAT

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Area of Science:

Psychometrics
Educational Measurement
Computerized Adaptive Testing

Background:

Traditional computerized adaptive testing (CAT) often prohibits item review to maintain estimation precision and prevent manipulation.
Existing CAT systems face challenges in balancing test security with user control over item selection.

Purpose of the Study:

To propose and evaluate a novel block item pocket (BIP) method for enabling item review in CAT.
To assess the estimation precision of reviewable unidimensional CAT (UCAT) and multidimensional CAT (MCAT) using the BIP method under various simulated strategies.

Main Methods:

The block item pocket (BIP) method was developed, integrating the item pocket method with the successive block method.
Simulations were conducted using a worst-case reasonable answering strategy and a Wainer-like manipulation strategy.
Estimation precision was evaluated for UCAT and MCAT across different BIP settings.

Main Results:

For both UCAT and MCAT, the BIP method demonstrated improved estimation precision with increased block numbers or decreased item pocket size under the reasonable strategy.
The BIP method proved more effective in mitigating the impact of the Wainer-like manipulation strategy.
Acceptable estimation precision was maintained even with larger total item pocket sizes due to the block design.

Conclusions:

The block item pocket (BIP) method offers a reliable approach to implementing reviewable computerized adaptive testing.
The BIP method effectively balances the need for estimation precision with the functionality of item review in both UCAT and MCAT.