Let Us Help You Design, Optimize and Verify Your Assessments

 Do you sell tests or assessments?  Do you use tests or assessments?  If you do, then our data analysis and analytics can provide the insights you want and need.

Recognized by academic and industry leaders, the ASI Certification Mark means that your assessment complies with the highest standards.

 Build trustworthiness in a crowded marketplace. We provide objective, statistics-based data that confirm the accuracy of your claims.  We give your customers the 3rd party assurance they want.

Do you need to improve the effectiveness of your assessments or tests?  Let ASI test, analyze and verify your options. 

As verification of validity and no disparate impact become more visible and important, ASI is here to help provide effective training to all levels of your organization.  Know your data and how it complies with regulatory standards.

 Identify new opportunities and fully leverage your company’s core competencies. We’ll help you accelerate product development, access new markets, enhance security, comply with regulatory requirements, and achieve other key business objectives. 

Stability refers to a tools ability to produce the same measurement over a period of time.  At ASI data stability is mesured with Test-Retest mean and variance comparisons

The reliability of data is important if it is to be valid.  Our reliability measure data consistency using Chronbach's Alpha.  Our validity measures confirm that the data measures are relevant.

Structural equation is an computational method that analyzes the structural relationship between your test variables. 

Critical to compliance with EEOC regulations is the avoidance of Disparate Impact.  Disparate Impact is the comparison of results between the dominant group tested and protected classes. 

Factor Analysis is a technique used to reduce a large number of variables into a few number of factors.  The analysis is helpful to identify the structure of observed.and underlying latent factors. 

Multipe measure techniques, an ensemble, are used to define the effect and interaction of variables to an outcome.  This analysis is often used to gnerate insights and measure the predictive ability of the data.