META-RAND, a Statistical Analysis System macro that generates random values used for calculating correlations in a meta analysis, is described. Output consists of uncorrected and corrected mean and variances of "r" and several measures of the degree of homogeneity or heterogeneity in the data. (SLD)

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…

This paper reports on studies of the deterministic and stochastic behaviours of a predator-prey system with prey-dependent response function. The first part of the paper deals with the deterministic analysis of uniform boundedness, permanence, stability and bifurcation. In the second part the reproductive and mortality factors of the prey and…

This article describes a simple way to explain the limitations of statistics to scientists and students to avoid the publication of misleading conclusions. Biologists examine their results extremely critically and carefully choose the appropriate analytic methods depending on their scientific objectives. However, no such close attention is usually…

Longitudinal data analyses can be usefully supplemented by the plotting of individual growth curves. Unfortunately, such graphics can be challenging and tedious to produce. This article presents and demonstrates a SAS macro designed to automate this task. The OLStraj macro graphically depicts ordinary least squares (OLS)-estimated individual…

Expanding the availability of long-term care (LTC) services and making them more responsive to consumer preferences is an important goal, particularly for elderly people living in rural areas who tend to be older and have greater functional limitations but less access to the range of LTC options available in metropolitan areas. One option that…

The maximum and minimum of a sample from a probability distribution are extremely important random variables in many areas of psychological theory, methodology, and statistics. For instance, the behavior of the mean of the maximum or minimum processing time, as a function of the number of component random processing times ("n"), has been studied…

Quite often in data reduction, it is more meaningful and economical to select a subset of variables instead of reducing the dimensionality of the variable space with principal components analysis. The authors present a neglected method for variable selection called the BI-method (R. P. Bhargava & T. Ishizuka, 1981). It is a direct, simple method…

Environmental ethics examines the relationship between human beings and nature from the moral perspective. It is also a kind of ethics arising from a concern with an earth which is on the verge of losing balance. Environmental ethics originated at the end of the 1940s. Since the 1970s, great progress has been made in environmental ethics. This…

This guide is designed to inform school directors about the value of a data dashboard and to provide information on how districts can create a data dashboard for school directors. A data dashboard is a tool for viewing and analyzing student achievement and performance data. Key data for monitoring student achievement and directing policy level…

This publication presents information about the outcomes for students who completed their vocational education and training (VET) during 2007. The Student Outcomes Survey focuses on students' employment outcomes and satisfaction with VET in Australia. Information about the level and type of training students undertake, further study patterns and…

This handbook was developed for high school teachers looking for new sources of timely information and ways to make courses more engaging and relevant to students. The American Community Survey (ACS) provides a wide online array of social, economic, and demographic information about the nation, states, and local communities. These data can be…

This article describes the potential for using K-12 education data to support school improvement efforts and the effective and efficient use of education resources. It examines the availability and transparency of education data in California as part of the "Getting Down to Facts" effort to improve education decision making in that…

The purpose of this paper is to examine the status of employment of people with disabilities in the Federal Government and to make recommendations for improving federal hiring and advancement of employees with disabilities. The paper summarizes the legal authorities and policy guidance, the responsibilities of various federal agencies charged with…

We developed equivalent, alternate forms of easyCBM[R] in reading (n=20 forms) and mathematics (n=13 forms) with different skills reflective of the National Reading Panel (NRP) and the National Council of Teachers of Mathematics (NCTM), respectively. We then took three forms to use as screening measures in the fall, winter, and spring so educators…