Diagnostic tests are typically administered in a multiple-choice (MC) format due to their advantages of objectivity and time efficiency. The MC-deterministic input, noisy "and" gate (DINA) family of models, a representative class of cognitive diagnostic models for MC items, efficiently and parsimoniously estimates the mastery profiles of…

Cognitive Diagnostic Assessment (CDA) is an alternative assessment which can give a clear picture of pupils' learning process and cognitive structures to education stakeholders so that appropriate instructional strategies can be designed to tailored pupils' needs. Coincide with this function, the Ordered Multiple-Choice (OMC) items were…

There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…

Education systems increasingly emphasize the importance of scientific reasoning skills such as "generating hypotheses" and "evaluating evidence." Despite this importance, we do not know which tests of scientific reasoning exist, which skills they emphasize, how they conceptualize scientific reasoning, and how well they are…

Concept inventories hold tremendous promise for promoting the rigorous evaluation of teaching methods that might remedy common student misconceptions and promote deep learning. The measurements from concept inventories can be trusted only if the concept inventories are evaluated both by expert feedback and statistical scrutiny (psychometric…

One means of learning about the processes operating in a multiple choice test is to include some test items, called nonsense items, which have no correct answer. This paper compares two versions of a mathematical model of test performance to interpret test data that includes both genuine and nonsense items. One formula is based on the usual…

Determining the optimal number of choices on a multiple-choice test is explored analytically from an information theory perspective. The analysis revealed that, in general, three choices seem optimal. This finding is in agreement with previous statistical and psychometric research. (SLD)

Multiple-choice testing (MCT) has several advantages which are becoming more relevant in the current financial climate. In particular, they can be machine marked. As an objective testing method it is particularly relevant to engineering and other factual courses, but MCTs are not widely used in engineering because students can benefit from…

This digest presents a list of recommendations for writing multiple-choice test items, based on psychometrics and logical deduction. Questions should ask more than mere knowledge of facts and should not contain superfluous information as an introduction to the question. Each question should focus on some specific aspect of the course, and the item…

Three test-analysis models were used to analyze three types of simulated test score data plus the results of eight achievement tests. Chi-square goodness-of-fit statistics were used to evaluate the appropriateness of the models to the four kinds of data. Data were generated to simulate the responses of 1,000 students to 36 pseudo-items by…

Classical measurement theory was used to investigate measurement characteristics of both parts of the Finding Embedded Figures Test (FEFT) when the test was: administered in either a "no guessing" supply format or a multiple-choice selection format; administered to either undergraduate college students or middle school students; and…