As the Global Education Reform Movement (GERM) spreads, key questions that attempt to identify both the nature and the increasing scope and scale of this phenomenon become empirically significant. The concern of this article is to highlight some of the complexities of measuring one key element of the GERM: the privatisation of public education…

UNESCO's Asia-Pacific Regional Bureau for Education has been working on education quality under the name of 'transversal competencies' (TVC) since 2013. Many of these competencies have been included in national education policy and curricula of countries in the region, but now the importance accorded them is increasingly gaining attention. As…

Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…

In the traditional approach to constructing a GCSE or A Level examination paper, a single person writes the whole paper. In some other contexts, tests are constructed by selecting questions from a bank of questions. In this research, we asked experts to evaluate the quality of Physics exam papers constructed in the traditional way, constructed by…

The purpose of this study was to examine the effect of equated and non-equated data on value-added assessment analyses. Several models have been proposed in the literature to apply the value-added assessment approach. This study compared two different value-added models: the unadjusted hierarchical linear model and the generalized persistence…

This study explored the impact of homogeneity of answer choices on item difficulty and discrimination. Twenty-two matched pairs of elementary and secondary mathematics items were administered to randomly equivalent samples of students. Each item pair comparison was treated as a separate study with the set of effect sizes analyzed using…

This study examined the use of Bayesian analysis methods for the estimation of item parameters in a two-parameter logistic item response theory model. Using simulated data under various design conditions with both informative and non-informative priors, the parameter recovery of Bayesian analysis methods were examined. Overall results showed that…

In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…

In this study, it was aimed to investigate the impact of different missing data handling methods on DINA model parameter estimation and classification accuracy. In the study, simulated data were used and the data were generated by manipulating the number of items and sample size. In the generated data, two different missing data mechanisms…

Purpose: Several studies can be found in the literature that investigate the performance of ? under various conditions. However no study for the effects of item difficulty, item discrimination, and ability restrictions on the performance of ? could be found. The current study aims to investigate the performance of ? for the conditions given below.…

Despite common operationalization, measurement efficiency of computerized adaptive testing should not only be assessed in terms of the number of items administered but also the time it takes to complete the test. To this end, a recent study introduced a novel item selection criterion that maximizes Fisher information per unit of expected response…

The purpose of this study was to evaluate the effectiveness of linking test scores by using test takers' background data to form pseudo-equivalent groups (PEG) of test takers. Using 4 operational test forms that each included 100 items and were taken by more than 30,000 test takers, we created 2 half-length research forms that had either 20…

Various subscore estimation methods that use auxiliary information to improve subscore accuracy and stability have been developed. This report provides a review of various subscore estimation methods described in the literature. The methodology of each method is described, then research studies on these subscore estimation methods are summarized.…

Quality Rating and Improvement System (QRIS) is a federally funded system that addresses quality in early care and education in many states throughout the country. At the heart of every QRIS system is a quality appraisal system that measures child care quality against state or regionally established standards. While QRISs are being implemented to…

In 2013, the Council of Chief State School Officers (CCSSO), working collaboratively with state education agencies, released a set of criteria for states to use to evaluate and procure high-quality assessments. The mathematics section of the document included five content-specific criteria to evaluate alignment of assessments to college- and…