| The methodology behind the Wage Loss Estimate Program is the Minnesota Theory of Work Adjustment (Dawis, England & Lofquist, 1964). This theory provides a formal foundational support for all worker-trait-factor-job-person matching systems. This later emerged, beginning in the late 1970's with the development of the Vocational Diagnosis and Assessment of Residual Employability,VDARE (McCroskey, Wattenbarger, Field & Sink, 1977), and continued through the 1980's and 1990's. These worker-trait-factor job-person matching Transferable Skills Analysis systems were all developed and computerized based on data describing job requirements in terms of the objectively defined behaviorally anchored rating scales found in the Handbook for Analyzing Jobs-Revised (HAJ-R; USDOL, 1972; Reprinted 1976; Revised 1991). The ability to earn money is a function of the capacity to perform and sustain work activity. The capacity to perform and sustain work is predicated upon individual physical and mental capacities, which are measurable and expressed in terms of worker trait functional levels by the U. S. Department of Labor. A few examples of worker trait factors are reasoning, math, language, spatial perception, clerical, and motor coordination. The Wage Loss Analysis Program is done in accordance with this quantitative system. This is done using the MVQS Vocational Analysis Process, which relies heavily on the VDARE Vocational Analysis Process. This is accomplished by taking a pre- and post-injury profile of the individuals' worker traits. The wage data is derived from average annual data information and actual job service work orders from Job Services (US Department of Labor, Bureau of Labor Statistics). This process compares worker capacities against job demands to see where the two intersect. This data is analyzed by a qualified vocational expert and written into a report summary, which is returned back to you via e-mail. This program has proven over time, through continuous published research studies, to have a high degree of reliability and validity for measuring probable outcomes.  |