Adjoined Piecewise Linear Approximations (APLAs) for Equating: Accuracy Evaluations of a Postsmoothing Equating Method

The purpose of this study was to evaluate the use of adjoined and piecewise linear approximations (APLAs) of raw equipercentile equating functions as a postsmoothing equating method. APLAs are less familiar than other postsmoothing equating methods (i.e., cubic splines), but their use has been described in historical equating practices of large‐scale testing programs. This study used simulations to evaluate APLA equating results and compare these results with those from cubic spline postsmoothing and from several presmoothing equating methods. The overall results suggested that APLAs based on four line segments have accuracy advantages similar to or better than cubic splines and can sometimes produce more accurate smoothed equating functions than those produced using presmoothing methods.     

Constructing an Entrepreneurial Architecture: An Emergent Framework for Studying the Contemporary University Beyond the Entrepreneurial Turn

Universities are engines of the knowledge-based economy, both as sites of knowledge production and exploitation. Over the past two decades a “Third Mission” for universities has been articulated, alongside teaching and research; and this third mission is understood as commercial engagement. While growing literatures on the entrepreneurial university and university entrepreneurship have emerged, they are broadly conceptualized and overly fragmented. In this article we advance the concept of entrepreneurial architecture as an analytical framework to understand the organizational dynamics of the contemporary university and fuse two dominant discourses on the entrepreneurial evolution of higher education. We offer a pragmatic approach for institutions to respond to the challenges of the Third Mission.     

Quantifying Error and Uncertainty Reductions in Scaling Functions: An ITEMS Module

This module describes and extends X‐to‐Y regression measures that have been proposed for use in the assessment of X‐to‐Y scaling and equating results. Measures are developed that are similar to those based on prediction error in regression analyses but that are directly suited to interests in scaling and equating evaluations. The regression and scaling function measures are compared in terms of their uncertainty reductions, error variances, and the contribution of true score and measurement error variances to the total error variances. The measures are also demonstrated as applied to an assessment of scaling results for a math test and a reading test. The results of these analyses illustrate the similarity of the regression and scaling measures for scaling situations when the tests have a correlation of at least .80, and also show the extent to which the measures can be adequate summaries of nonlinear regression and nonlinear scaling functions, and of heteroskedastic errors. After reading this module, readers will have a comprehensive understanding of the purposes, uses, and differences of regression and scaling functions.     

A Comparison of IRT Proficiency Estimation Methods Under Adaptive Multistage Testing

This inquiry is an investigation of item response theory (IRT) proficiency estimators’ accuracy under multistage testing (MST). We chose a two‐stage MST design that includes four modules (one at Stage 1, three at Stage 2) and three difficulty paths (low, middle, high). We assembled various two‐stage MST panels (i.e., forms) by manipulating two assembly conditions in each module, such as difficulty level and module length. For each panel, we investigated the accuracy of examinees’ proficiency levels derived from seven IRT proficiency estimators. The choice of Bayesian (prior) versus non‐Bayesian (no prior) estimators was of more practical significance than the choice of number‐correct versus item‐pattern scoring estimators. The Bayesian estimators were slightly more efficient than the non‐Bayesian estimators, resulting in smaller overall error. Possible score changes caused by the use of different proficiency estimators would be nonnegligible, particularly for low‐ and high‐performing examinees.     

Coping with writing apprehension

Students with high writing apprehension (WA) were exposed or not exposed to visualization (a procedure designed to encourage positive thinking). Those exposed to visualization reported enjoying writing more than those who were not trained to visualize, both immediately and over time. The paper ends with a discussion of these and other results.     

Emerging local schooling landscapes: the role of the local authority

The school system in England is undergoing rapid change, with the government creating more than 4000 ‘independent publicly funded schools’, known as academies, since 2010. The potential for fragmentation is considerable with diversity of governance emerging as a key feature of the new schooling landscape. Consequently, a major and widely recognised issue to which these reforms give rise concerns the future of the ‘middle tier’ –that layer between individual schools or groups of schools and central government. There are competing visions of how a future middle tier might evolve: one focuses entirely on a middle tier of individual schools and chains as a ‘self-improving system’; others conceive a continuing but revised role for the local authority (LA). The aim of this paper is to begin to explore the latter position, and in particular the potential role of the LA as a ‘broker’ of new patterns of school organisation. Drawing on interview data from three very different LA areas, the findings show that LAs differ in how they conceive their role and, consequently, on the strategies that they pursue.     

Differences in competencies between doctoral students on‐campus and at a distance

Abstract

This article describes differences between on‐campus and distance learners by knowledge, skills, and abilities. On‐campus doctoral students at Texas A&M University were compared with doctoral students enrolled in a distance education program offered jointly with Texas Tech University. Student perceptions of their competency levels were gathered using a mixed mailed/Internet questionnaire. On‐campus and distance education students had different levels of competence. Competency models can serve faculty and administrators as an assessment tool for strategic decision making and development of courses and curricula. This study provides a model for benchmarking competencies and provides baseline data for making such changes.