Examining the relationship between quality, labor market value, and effectiveness of credentials
With the tremendous growth of certifications in this country, it has become more difficult to discern quality certifications from those of lesser caliber. Workcred is examining the linkage between “quality,” “labor market value,” and effectiveness. Information gleaned from this research will be useful to
employers who are creating criteria for the selection of credentials that have value for their organization; certification bodies to market the predictive validity of their credentials; states looking for quality certifications that align with their education programs; and individuals seeking credentials
that will make a difference in obtaining employment and demonstrating value to the organization after employment.
Exploring the relationship among different types of credentials (e.g., certifications, degrees, certificates) to improve credential holders’ labor-market outcomes
In recent years there has been enormous growth in the number and variety of labor market credentials — college degrees, certificates, certifications, occupational licenses, and badges.
It is important to understand the purpose of each credential and how credentials can be used in combination (e.g., earning a certification as part of a college degree) to improve individuals career and labor-market outcomes.
Mapping and integrating the credentialing landscape to create more defined credential pathways
To date, no known comprehensive mapping of credentials has been done that looks at the growth of specific credentials, how they are defined, and what, if any, the relationships are among the credentials. This type of information will help credential seekers understand how they would benefit more from one
credential than another and how the credentials could be used to build a career pathway.
Using data to identify credential values and outcomes
Individuals and employers struggle to discern high quality credentials from those of lesser quality. They do not know why or when they should choose one over another and how they relate. For example, information obtained by linking different administrative data sets, can be used to improve education decision making and measure the return on investment of certification attainment.