OVS Psychometrics
Statistical Analysis
Several statistical analyses have been conducted over nearly a decade to ensure that the Vital Signs tools are robust and accurate. These findings are from the 2013 analysis of the VS database.
Structure
Scales: 5 climate scales + 4 outcome scales Mean score: 100
Standard deviation: 15
Norming & Validation: Based on over 15,000 responses from over 100 organizations, the OVS database represents a robust norm group representing small, medium, and large enterprise, government agencies, and nonprofits from all over the globe. Industries include technology, manufacturing, finance, hospitality, healthcare, education, plus a range of professional services. The majority of respondents are from US, Italy, UAE, Singapore, Malaysia, China, and Canada; as shown below, they tend to be educated professionals.
The model has been subjected to two factor analyses and extensive psychometric validation. These analyses confirm the structure of the tools, with a 5-factor and predictive validity and its reliability (below).
Cronbach Alpha
One way to report on the reliability of a psychometric measure is to calculate the internal consistency of its underlying scales. Internal consistency refers to the extent to which items assigned to a scale are correlated to one another. Cronbach’s coefficient alpha was used to calculate the internal consistency of the VS drivers. This statistic can range from -1.0 to +1.0 and indicates to what extent the items in a factor measure the same construct. An alpha with a positive value, and greater than 0.6, is considered statistically reliable.
Scale | Cronbach‘s Coefficient Alpha |
---|---|
Motivation | 0.804 |
Teamwork | 0.875 |
Execution | 0.796 |
Change | 0.679 |
Trust | 0.877 |
Predicting Outcomes
There is a strong relationship between climate and the outcomes.
A multiple regression analysis was used to test the relationship between the OVS scales and the four outcomes. Collectively, 60% of the variation in the performance outcomes is predicted by the organizational climate (R2=.5998). This relationship can be seen visually in this scatter graph:
The climate scores also predict variation in each individual outcome:
Retention = 36.33%
Productivity = 36.68%
Customer Focus = 42.62%
Future Success = 60.27%
Below is the model in its predictive validity showing how different factors contribute to explain the link between climate and overall performance.
Report of the Forward procedure for dependent variables, n = 5350, P> 0.5 (by Regression Analysis OVS 2013, Lorenzo Fariselli, 2013):
Predicting Total Performance | R2 Partial | R2 Model |
---|---|---|
Trust | 0.4544 | 0.4544 |
Motivation | 0.0915 | 0.5459 |
Teamwork | 0.0375 | 0.5834 |
Execution | 0.0086 | 0.5920 |
Change | 0.0061 | 0.5981 |
The following tables show how different factors contribute to each of the four OVS performance outcomes.
Report of the Forward procedure for dependent variables, n = 5350, P> 0.5 (by Regression Analysis OVS 2013, Lorenzo Fariselli, 2013):
Predicting Retention | R2 Partial | R2 Model |
---|---|---|
Motivation | 0.3019 | 0.3019 |
Trust | 0.0524 | 0.3544 |
Teamwork | 0.0085 | 0.3629 |
Change | 0.0032 | 0.3661 |
Execution | 0.0005 | 0.3666 |
Predicting Productivity | R2 Partial | R2 Model |
---|---|---|
Motivation | 0.2713 | 0.2713 |
Teamwork | 0.0671 | 0.3385 |
Change | 0.0152 | 0.3537 |
Execution | 0.0111 | 0.3648 |
Trust | 0.0020 | 0.3668 |
Predicting Customer Focus | R2 Partial | R2 Model |
---|---|---|
Execution | ,3206 | ,3206 |
Motivation | ,0639 | ,3844 |
Teamwork | ,0284 | ,4128 |
Trust | ,0119 | ,4247 |
Change | ,0015 | ,4262 |
Predicting Future Success | R2 Partial | R2 Model |
---|---|---|
Trust | ,5761 | ,5761 |
Motivation | ,0257 | ,6018 |
Execution | ,0009 | ,6027 |
Norm Group Characteristics
The Vital Signs database includes organizations, teams, and individuals from around the globe. The following graphs provide an overview of the norm base:
Norm base variation
The mean score on climate is 100; there are slight variations by demographics as follows: