The purpose of this descriptive study was to determine if business leadership practices by Texas public school principals have an impact on principals' campus student achievement in mathematics and reading, as measured by TAKS scores. The survey instrument was the Leadership Assessment Instrument (LAI), developed by Warren Bennis in 1989. The survey instrument was electronically distributed to a sample of 300 public school principals in Texas. Of the 300, 140 principals completed and returned the survey, for a response rate of 47%. The Statistical Package for the Social Sciences (SPSS), version 16.0, was used for the analysis of data, which included descriptive statistics, analysis of variance, and regression. In addition, reliability for the LAI was also calculated. The LAI consists of the following five categories of effective business practices: focused drive, emotional intelligence, building trust, conceptual thinking, and systems thinking. No significant relationships were found between principals' use of LAI elements and student achievement in mathematics and reading. However, the lack of significant relationships between the business model as used in public schools and student achievement reveals that current models of principal preparation programs do not result in school leaders who are adequately prepared to increase student achievement. Further research …

The purpose of this study was to examine data from the Early Childhood Longitudinal Study: Kindergarten Class of 1998-99 (ECLS-K) report, identify questions and statements that correlate to the dimensions of professional learning communities (PLCs), and determine the effect PLCs have on student achievement based on the ECLS-K data. In addition, the rationale for doing this research was to measure growth in student achievement over time. A multilevel growth model was used for this research. Univariate analysis was conducted in order to reveal frequencies and percentages associated with teacher responses. Bivariate analysis was applied in order to determine the inter-correlations between the fourteen variables. Once the inter-correlations were determined from the bivariate analysis, principal component analysis was applied in order to reveal the theoretical relationship between the variables. Through the use of principal components a set of correlated variables is transformed into a set of structure coefficient: support and collaborative. Finally, a multilevel growth model was used in order to determine the effect that each variable within the support and collaborative structure coefficients had on student achievement over time. This study revealed a number of variables within the ECLS-K report that correspond to the dimensions of PLCs have a statistically …