A nonparametric tree classification procedure is used to detect differential item functioning for items that are dichotomously scored. Classification trees are shown to be an alternative procedure to detect differential item functioning other than the use of traditional Mantel-Haenszel and logistic regression analysis. A nonparametric…

A Bayesian nonparametric model is introduced for score equating. It is applicable to all major equating designs, and has advantages over previous equating models. Unlike the previous models, the Bayesian model accounts for positive dependence between distributions of scores from two tests. The Bayesian model and the previous equating models are…

The purpose of the paper is to review some previous researches examining ICT efficiency and the impact of ICT on educational output/outcome as well as different conceptual and methodological issues related to performance measurement. Moreover, a definition, measurements and the empirical application of a model measuring the efficiency of ICT use…

The 4-year federal Safe and Supportive Schools (S3) program supports targeted interventions to improve and measure conditions for learning at the high school level. For 2011-2012 (Year 2), two evaluation questions were investigated: (EQ1) To what extent do participating schools implement the program with fidelity relative to the WV Model for…

The purpose of this research was to examine the level of School-wide Positive Behavior Support (SWPBS) implementation in the State of Florida. The relationship between implementation fidelity of SWPBS to academic and behavioral outcomes for elementary and middle schools was then analyzed. The results of this study found that SWPBS is being…

Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…

Integrating technology into the classroom is thought to motivate students, keep them engaged, increase available resources, and improve student achievement. Interactive whiteboards (IWBs) are currently being implemented in many classrooms. The purpose of this causal-comparative quantitative study was to identify if years of teaching experience or…

Problems of scale typically arise when comparing test score trends, gaps, and gap trends across different tests. To overcome some of these difficulties, test score distributions on the same score scale can be represented by nonparametric graphs or statistics that are invariant under monotone scale transformations. This article motivates and then…

The purpose of this study is to describe how Guttman, Rasch, and Mokken approached issues related to invariant measurement. These measurement theorists were chosen to illustrate the evolution of our conceptualizations of invariant measurement during the 20th century within the research tradition of item response theory. Item response theory can be…

This was an exploratory study that examined the introduction and use of Edublogs as a collaborative communication tool in an undergraduate preservice special education course. Participants were enrolled in a course that addressed transition and the development of individualized transition education plans for students with disabilities. Pre- and…

The purpose of this study was to assess the model fit of a 2PL through comparison with the nonparametric item characteristic curve (ICC) estimation procedures. Results indicate that three nonparametric procedures implemented produced ICCs that are similar to that of the 2PL for items simulated to fit the 2PL. However for misfitting items,…

A resampling-based method of inference--permutation tests--is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of…

Considering the wide use of Serious Games in application fields like cognitive learning, health education and rehabilitation and the recent developments of sensor and interface technology it is surprising that applications to motor learning in sport are rare. The aim of this study is to examine whether a specific learning effect can be elicited by…

Literature on educational technology touts its potential for enhancing student outcomes such as learning, satisfaction, and performance. But are these benefits universal and do they apply to all applications and/or forms of educational technology? This study focuses on one such system, the Smart Board Technology System (SBTS) and the impact its…

Background: Physical education teachers often use the player-coach dyad in individual opposition sports so that students can obtain information on their actions and then better regulate them. This type of work also develops methodological and social skills. However, the task of observing a partner often poses problems for failing students, who…