A model of best practice: Leadership development programs in the nuclear industry.

A model of best practice: Leadership development programs in the nuclear industry.

Date: August 2006
Creator: Thatcher, Gregory W.
Description: This study looked at leadership development at top performing nuclear plants in the United States. The examination of leadership development as actually practiced in the nuclear energy industry lead to the development of a best practice model. The nuclear industry is self-regulated through the Institute for Nuclear Power Operations (INPO). INPO has been evaluating nuclear plants over the past 15 years. Recently they have identified supervisor performance as a key factor in poor plant performance. INPO created a model for leadership development called Growing Industry Leaders. The nuclear industry has identified its aging workforce and subsequent loss of leadership as an emerging issue facing the nuclear industry in the next five to ten years. This initiative was aimed at both the supervisor shortfalls identified through plant evaluations and the state of the workforce within the nuclear industry. This research evaluated the elements of this model and compared them to a model of best practice. This research answered the following questions: What elements of leadership development should be included in leadership development programs? What would a model of best practice in leadership development look like? Data was collected from nine out of 103 top performing plants. Development activities were categorized by ...
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Influence of pre and post testing on return on investment calculations in training and development.

Influence of pre and post testing on return on investment calculations in training and development.

Date: May 2008
Creator: Hiraoka, Calvin H.
Description: When expenses become an issue, training is often one of the first budget items to be cut. There have been a number of evaluation studies about rates of return from training interventions. Most results are based on interviewing participants about the value of the intervention and its effect on their productivity. This often results in quadruple digit return on investment indications. Decision makers who control the budget often view these kinds of results with skepticism. This study proposes a methodology to evaluate training interventions without asking participants their opinions. The process involves measuring learning through a series of pre-tests and post-tests and determining if scores on pre-tests can be used as predictors of future return on investment results. The study evaluates a series of return on investment scores using analysis of variance to determine the relationship between pre-tests and final return on investment results for each participant. Data is also collected and evaluated to determine if the financial results of the organization during the period of the training intervention could be correlated to the results of the training intervention. The results of the study suggest that the proposed methodology can be used to predict future return on investment from training ...
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The relationship between the reasons for participation in continuing professional education and the leader effectiveness of first-line supervisors.

The relationship between the reasons for participation in continuing professional education and the leader effectiveness of first-line supervisors.

Access: Use of this item is restricted to the UNT Community.
Date: December 2003
Creator: McCamey, Randy B.
Description: This research examined the reasons for participation in continuing professional education (CPE) and the predictive relationship of those motivational reasons to the perceived leadership effectiveness of first-line supervisors. For this study, 105 first-line supervisors were surveyed from four electric utility companies. Input was also collected from each supervisor's subordinate employees. Using the five motivational reasons for participation, collected via the Participation Reasons Scale and the effectiveness score collected using the Leader Behavior Analysis IIĀ®, regression techniques were used to asses the data. The five participation reasons of the PRS were regressed individually against the effectiveness scores to determine the extent to which leader effectiveness could be predicted by the participation reasons. In each case, the null hypothesis failed to be rejected. Regression of the five PRS reasons collectively on leader effectiveness also failed to reject the null, producing a p value of .800 and an R2 value of .023. An "all possible subsets" regression was conducted to determine whether a smaller subset of the five predictor variables might improve the predictive value of the participation reasons. No subset improved the predictive value. This study concludes that motivation to participate in CPE does not predict leader effectiveness. Thus, training organizations do ...
Contributing Partner: UNT Libraries