This article focuses on student teachers' professional identity formation inspired by the tension between two layman points of view namely: being born as a teacher (i.e. based on demographics and personality traits) and becoming a teacher (i.e. based on experience). Besides demographics, personality traits and experience, the teacher preparation…

Context: All youth, especially those with serious emotional disturbances (SED), face challenges as they transition to adulthood. Little is known about rural youth at risk for transition problems. Purpose: To examine transition-age youth who use publicly funded services in rural and urban/suburban locations in Tennessee in order to describe youth…

Since the passage of The No Child Left Behind Act of 2001, a superintendent's role has been redefined and more focus has been placed on student achievement. Research demonstrates that rural public schools are faced with an educational crisis. Rural districts are faced with an epidemic of declining enrollments/budgets, increased drop-out rates, low…

This study is one of only a few that attempts to examine simultaneously faculty productivity in teaching, research, and service. The research is guided by a conceptual model built from several branches of the literature on career stage theory, motivation theory, and previous studies of faculty productivity. The model hypothesizes that faculty…

The purpose of this study was to construct a profile of K-12 music teachers in the United States and develop a model to predict their retention, turnover, and attrition. Responses to the "Schools and Staffing Survey" from 47,857 K-12 public and private school teachers, including 1,903 music teachers, were analyzed using comparative…

United States Department of Agriculture defines food insecure as answering affirmatively to three or more food insecurity questions describing a household's ability to acquire enough food. Households indicating low levels of food insecurity (one or two affirmative responses) are considered food secure. This paper compares the characteristics of…

The information that is gained through various analyses of the residual scores yielded by the least squares regression model is explored. In fact, the most widely used methods for detecting data that do not fit this model are based on an analysis of residual scores. First, graphical methods of residual analysis are discussed, followed by a review…

The use of stepwise methodologies has been sharply criticized by several researchers, yet their popularity, especially in educational and psychological research, continues unabated. Stepwise methods have been considered particularly well suited for use in regression and discriminant analyses, but their use in discriminant analysis (predictive…

Least squares methods are sophisticated mathematical curve fitting procedures used in all classical parametric methods. The linear least squares approximation is most often associated with finding the "line of best fit" or the regression line. Since all statistical analyses are correlational and all classical parametric methods are least…

The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment.…

When multiple linear regression is used to develop a prediction model, sample size must be large enough to ensure stable coefficients. If the derivation sample size is inadequate, the model may not predict well for future subjects. The precision efficacy analysis for regression (PEAR) method uses a cross- validity approach to select sample sizes…

A modification of the usual graphical representation of heterogeneous regressions is described that can aid in interpreting significant regions for linear or quadratic surfaces. The standard Johnson-Neyman graph is a bivariate plot with the criterion variable on the ordinate and the predictor variable on the abscissa. Regression surfaces are drawn…

The analysis of regression residuals and detection of outliers are discussed, with emphasis on determining how deviant an individual data point must be to be considered an outlier and the impact that multiple suspected outlier data points have on the process of outlier determination and treatment. Only bivariate (one dependent and one independent)…

Three ridge regression solutions are compared with ordinary least squares regression and with principal components regression using all components. Ridge regression, particularly the Lawless-Wang solution, out-performed ordinary least squares regression and the principal components solution on the criteria of stability of coefficient and closeness…

An earlier version of this paper was presented at the Annual Meeting of the National Council for Measurement in Education (Chicago, February 7-10, 1968