The Leading Transformation for Sustainable Excellence (LTSE) Self-Assessment™ is a comprehensive 126 question survey that addresses all 14 components in the Leadership and Design Blueprint described in The [Re]Create Book. The main purpose is to provide insights to help you align your strategy, systems, scorecard, culture, and leadership to produce sustainable value for your stakeholders.
The LTSE Self-Assessment™ was originally based on research with CEOs who led successful organization transformations resulting in recognition as a recipient of the Malcolm Baldrige National Quality Award. The instrument has been further developed and refined to reflect the additional dimensions and details of the key leadership system and style concepts found in the [Re]Create Book.
The LTSE Self-Assessment™ questions are evenly spread across all 14 modules in the Leading Transformation Lab™ and the complete self-assessment (126 questions) is repeated again in Module 14 Facilitators of Change. The online survey option uses Survey Monkey® to administer the questions to the participants. While we provide feedback and the initial analysis of the online survey results, our approach is to help you analyze your own results and develop your plans to improve your performance.
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The LTSE Self-Assessment™ Instrument includes nine questions for each of the 14 components of the Leadership and Design Blueprint for a total of 126 questions. While both the LTSE Self-Assessment™ and the LOA 9 x 9™ assess some of the same components, they do so from different perspectives and purposes. The questions are answered using a six-point agree scale.
Analysis of the results includes the individual question level, the 14 components of the Leadership and Design Blueprint level, and the relationships between the questions and components. In addition to descriptive statistics, visual displays and color-coded frameworks are used to help with the analysis and develop improvement priorities and plans.
The scale used to answer each question is the six-point agree scale: Substantially Disagree | Moderately Disagree | Perhaps Disagree | Perhaps Agree | Moderately Agree | Quite Agree
The agree scale phrases were chosen based on the highest level of similarity among the distances between the choices (intervals). Why is this important? Most Likert scales are considered to be Ordinal level data. Ordinal data means that we know that one response is higher or lower than another response, but we don’t know how much. If the distances between the responses are not equal, then the type of mathematical analysis that can be performed is limited. If the distances between the responses are mathematically equal or nearly equal, then we can compute the mean for a group. The agree scale is nearly equal AND more equal than the other options.