Factor Analysis Cluster Analysis and Such

¶ … Cluster Analysis By using two different data sets, this paper aims at improving two analyses conducted relating to leadership effectiveness and community policing studies. In addition, in the paper, reliability tests and factor analyses on some of the six scales of importance used in the Community Policing study are looked at in-depth. Besides, the analysis conducted by Dr. Eveland is re-evaluated in this paper. Leadership Effectiveness From the report conducted by Dr.

Eveland, several multiple regression analyses were initiated to help determine the existence of any relationship among the nine scales to the dependable variable, Q75; overall satisfaction with the manager as a leader. When plotted in a graph, the variable moderately skewed toward higher values. Additionally, a simple multiple regression of all the predictors showed a statistically significant relationship between predictors and variables (F = 19.33, df = 9, 462, p< 0.001, R2 = 0.27).

Nevertheless, beta coefficients for individual predictors for most variables were not significant; it is only Communication which is a significant predictor with a beta of 0.33. Since the varying means and variances among the predictors, a stepwise regression was used to correct the results (Eveland, 2008). The regression analysis produced a significant result with three predictors (F = 56.0, df = 3, 468, p < 0.001, R2 = 0.26). Outlined below are the significant predictors and their coefficients.

Unstandardized Coefficients Standardized Coefficients t Significance Model B Standard Error Beta (Constant) 1.28 6.05 0.00 Communication 0.46 0.07 0.33 6.56 0.00 Planning/Execution 0.14 0.05 0.13 2.53 0.01 Teamwork 0.13 0.06 0.12 2.19 0.02 As outlined in the analysis above, communication is the most important of the three predictors. This analysis places communication at a beta of 0.33 which translates to three times as important as Planning/Execution (b = .13) and Teamwork (b = .12). In addition, stepwise regressions of all items from each scale on overall satisfaction; Q75 show that the best individual item predictors include the following.

For communication, the variable Q8, genuinely listens to people had 0.23, Q17; shares information readily peaked.