The LOA 9 x 9 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. That research identified nine leadership behaviors (styles) and nine leadership activities (system) common to leaders who successfully transformed their organizations to create sustainable results across a comprehensive scorecard. The LOA 9 x 9™ is an 81-point diagnostic that assesses the intersection points between the nine leadership activities (system) and the nine leadership behaviors (style) common to leaders who successfully transformed their organizations to create sustainable results across a comprehensive scorecard. 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 complete LOA 9 x 9 Self-Assessment™ is included in the Leading Transformation Lab™. The assessment questions are distributed across Modules 2 through 10 and the complete assessment is included again in Module 11. The LOA 9 x 9 is a “self-assessment” that is taken from the perspective of the individual completing the assessment. The participants respond to statements about how their leadership style is applied to their leadership activities. Consequently, it has the advantages of asking about things that other people wouldn’t know. It also has the limitations of a “self” assessment which is not always consistent with how others (including their followers) might view the participant’s leadership style and activities. The purpose of the assessment is to gain insights into the perceptions of the individual leader or the overall leadership team and use those results to inform leadership development plans and activities.
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. The online survey version includes an additional nine questions focused on the needs and the current results or value created for the organization’s stakeholders. The questions assess the value being created for six stakeholder groups including investors, customers, workforce, suppliers and partners, communities (society), and the natural environment.
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The LOA 9 x 9™ is a “self-assessment” taken from the perspective of the individual. The participants respond to statements about how their leadership style is applied to their leadership activities. There are 81 diagnostic questions – one for each of the 81 leadership behavior + activities combinations. In other words, each of the nine behaviors is assessed for each of the nine activities which equal 81 “touch” points. The questions are answered using a six-point agree scale.
Analysis of the consolidated results includes the individual question level, the nine leadership behaviors and nine leadership activities levels, and the relationships between the behaviors and activities. In addition to descriptive statistics, visual displays and color-coded frameworks are used to help with the analysis and develop improvement priorities and plans. When we plot the results for each question on a 9 x 9 Matrix and color-code the results the improvement area for both the leadership style (behaviors) AND the leadership system (activities) emerge.
If you highlight some of the themes and take away the color-coding of the other cells, then the themes are even more prominent and easy to see.
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 intervals are nearly equal AND more equal than the other options.