"Linking" is a term given to a general class of procedures by which one represents scores X on one test or measure in terms of scores Y on another test or measure. A recent taxonomy by Holland and Dorans (2006; Holland, 2007) organizes the various types of links into three broad categories: prediction, scale aligning, and equating. In…

This study was conducted to assess the predictive relationships among delivery mode (DM), self-perceived learner-to-teacher interaction, self-rated computer skill, prior distance learning experience, and learners' satisfaction and outcomes. Participants were enrolled in courses which used three different DMs: face-to-face, satellite broadcasting,…

According to many higher education experts, merit scholarship screening methods discriminate against a disproportionate number of underrepresented minority (URM) students. The screening methods, however, favored individuals with the highest achievement test scores and above-average GPAs. The assumption in the common selection model is that test…

Newton's article (2010) makes three main contributions to the literature. First, it is transatlantic, bringing together literatures that have been dealing with similar problems, using sometimes different methods and certainly with distinctive educational, cultural perspectives. He points out that neither of these literatures has all of the…

The article "Thinking About Linking" by Newton (2010) presents a novel philosophical perspective on the way that educational assessments should be linked. Newton starts by describing the linking framework as it was characterized in various publications and identifies a cross-cultural dimension in the definitions and uses of test…

This study examines whether MidYIS and YELLIS cognitive ability tests (CATs) are appropriate methods for the identification of giftedness in Design and Technology. A key rationale for the study was whether CATs and able to identify those students with the aptitudes considered of importance to identifying giftedness in Design and Technology and…

The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…

Describes and compares eight methods of estimating the parameters of the Zipf distribution. (CLB)

Study investigates the adequacy of predicting differential value systems of college students from their American College Test (ACT) scores. (Author)

The Mean Cost Rating, P(A) from Signal Detection Theory, Kendall's rank correlation coefficient tau, and Goodman and Kruskal's gamma measures of predictive power are compared and shown to be different transformations of the statistic S. Gamma is generally preferred for hypothesis testing. Measures of association for ordered contingency tables are…

The voice quality, breathiness, hoarseness, and laryngeal strain of 20 profoundly deaf and 5 normal-hearing children, age 5-19, were judged. Findings suggest that overall prediction of voice quality cannot reliably be based on glottal parameters and judged voice deviations, although severe cases of deaf voice deviations may be detectable.…

The hypothesis that structured representations can be compared via structural alignment and the prediction that similarity comparisons lead subjects to attend to the matching relational structure of a pair of items were supported through 4 experiments involving 218 undergraduates. Results indicate that similarity involves alignment of structured…

To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…

When survey data are statistically analyzed, many times some of the data is missing. If the missing values are not correctly handled, results of the analysis may be dubious and publication may jeopardize the credibility of the organization preparing the report. This study examined four of the more commonly used methods of handling missing data.…