Although researchers have documented that some data make larger contributions than others to predictions made with least squares models, it is relatively unknown that some data actually make no contribution to the predictions produced by these models. This article explores such noncontributory data. (Contains 1 table and 2 figures.)

This chapter will provide potential models for analyzing learning data through a discussion of screening data and then analyzing that data using appropriate statistical techniques.

Twenty-nine peer-reviewed journal articles that analyzed intervention implementation in schools using single-case experimental designs were meta-analyzed. These studies reported 171 separate data paths and provided 3,991 data points. The meta-analysis was accomplished by fitting data extracted from graphs in mixed linear growth models. This…

Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…

The Condition of Education in the Commonwealth Action Guide presents an overview of the current policy landscape and context in areas of need, along with suggested program steps for bringing successful practices to scale. The Action Guide and the larger Condition of Education in the Commonwealth project provides a common foundation for more…

Physicians affiliated with small community hospitals face numerous barriers to using developmentally oriented best practices in primary care with young children. Saint Anthony Hospital's Developmental Support Project model promotes improved developmental outcomes for children through two complementary strands of services: (a) training and…

The increasing availability of massive volumes of scientific data requires new synthetic analysis techniques to explore and identify interesting patterns that are otherwise not apparent. For biodiversity studies, a "data-driven" approach is necessary because of the complexity of ecological systems, particularly when viewed at large spatial and…

We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…

In this paper, we propose a new prediction analysis model which combines the first order one variable Grey differential equation Model (abbreviated as GM(1,1) model) from grey system theory and time series Autoregressive Integrated Moving Average (ARIMA) model from statistics theory. We abbreviate the combined GM(1,1) ARIMA model as ARGM(1,1)…

This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

Professional development that improves teaching and student learning meets research-based standards to ensure high-quality educator learning experiences. Since the quality of professional learning affects its results, many states, districts, and schools want to measure the effectiveness of their professional development to make targeted…

Fully and partially ranked data arise in a variety of contexts. From a Bayesian perspective, attention has focused on distance-based models; in particular, the Mallows model and extensions thereof. In this paper, a class of prior distributions, the "Binary Tree," is developed on the symmetric group. The attractive features of the class are: it…

Language choice is often studied as choices made by the state at the level of national language planning or as individual choice of language or variety in language use. There has been little research to directly connect these two aspects of language choice. This paper attempts to incorporate the two aspects and other related phenomena in a…

Focuses on four issues related to providing government numeric databases in libraries: hardware, access software, staff skills, and organizing services. Basic, intermediate, and advanced levels of service and a guide for selecting an appropriate level are presented. Examples of screens from actual searches are included. (Contains eight…

A summary of a working conference on state funding of public higher education is presented, with attention to costing in higher education, financial planning models for state agencies, dimensions and determinants of tuition policy, measuring the effectiveness of state agencies for higher education, and a review of state-level comparative data in…