Maggie Kinnaman is an APPA Emeritus Member, APPA Fellow, and Past APPA President. In this article she provides helpful tips for completing the APPA Facilities Performance Indicators (FPI) survey for 2013, which closed on December 16, 2013. She began by calling attention to some enhancements that have been added this past year, and encouraged…

Despite being widely used and frequently studied, the Angoff standard setting procedure has received little attention with respect to an integral part of the process: how judges incorporate examinee performance data in the decision-making process. Without performance data, subject matter experts have considerable difficulty accurately making the…

We develop and implement a framework for determining the optimal performance metrics to help parents choose a school. This approach combines the three major critiques of the usefulness of performance tables into a natural metric. We implement this for 500,000 students in England for a range of performance measures. Using performance tables is…

Minimum sample sizes of about 200 to 250 per group are often recommended for differential item functioning (DIF) analyses. However, there are times when sample sizes for one or both groups of interest are smaller than 200 due to practical constraints. This study attempts to examine the performance of Simultaneous Item Bias Test (SIBTEST),…

"Library Spaces for 21st-Century Learners: A Planning Guide for Creating New School Library Concepts" focuses on planning contemporary school library spaces with user-based design strategies. The book walks school librarians and administrators through the process of gathering information from students and other stakeholders involved in…

With the development of PC, internet as well as mobile devices, we are facing a data exploding era. On one hand, more and more features can be collected to describe the data, making the size of the data descriptor larger and larger. On the other hand, the number of data itself explodes and can be collected from multiple resources. When the data…

A systematic analysis was conducted of measurement and reporting practices related to procedural fidelity in single-case research for the past 30 years. Previous reviews of fidelity primarily reported whether fidelity data were collected by authors; these reviews reported that collection was variable, but low across journals and over time. Results…

In Study 1, 72 internet documents containing creationism, ID (intelligent design), or evolution content were selected for analysis. All instances of proof cognates (the word "proof" and related terms such as "proven", "disproof", etc.) contained within these documents were identified and labeled in terms of the manner in which the terms were used.…

Within the context of "big data", there is an increasing focus on the source of the large volumes of data now stored electronically. The greatest portion of this data is unstructured and comes from a variety of sources in a variety of formats, much of which does not conform to a consistent data model. As business and government…

This article explores how information visualization techniques can be applied to learning analytics data to help teachers and students deal with the abundance of learner traces. We also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore…

In scoping reviews, boundaries of relevant evidence may be initially fuzzy, with refined conceptual understanding of interventions and their proposed mechanisms of action an intended output of the scoping process rather than its starting point. Electronic searches are therefore sensitive, often retrieving very large record sets that are…

The current accountability conversation in teacher education is the direct result of the policy paradigms that shape our understandings of schooling and reform. The authors present cases from Georgia and Missouri illustrating how these policy paradigms have resulted in outcomes-based accountability initiatives for teacher education. Specifically,…

Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…

Students with persistent and severe reading difficulties pose a significant challenge for educators. The primary purpose of this article is to provide a detailed demonstration of data-based individualization (DBI) implementation in the area of reading. Also provided are various resources a teacher may access to learn more about the instructional…

Background: There is comparatively little published research that transparently charts the contribution of people with an intellectual disability to a collaborative research process. This paper illustrates the process of data analysis in a project located within the Emancipatory Disability Research (EDR) paradigm. Materials and Methods: Textual…