In a recent issue of EVALUATION AND THE HEALTH PROFESSIONS, Fottler and Smith (1982)* developed a theory for determining the influence of Budgetary Evaluating the Effectiveness of Nursing Home Administration (EENA). The present study offers and extension to their multivariable theory, which is otherwise viewed as an excellent attempt at presenting a realistic model of EENA. Further analysis of the data included in the present paper ranks the dominant variables and factors as (1) Profit Per Patient Day (PPP) and Nursing Hours Per Patient Day (NH), (2) Other Hours Per Patient Day (OH) and Patient Mix (PM), (3) Occupancy Rate (OR) and Staffing Ratio (SR), (4) Administrator Years in Nursing Home Administration (AY) and Administrator Years at the Home (AYHII), (5) External Comparisons (EC) and Cost Per Patient Day (CPP) and (6) Administrative Intensity (AI) and Report Use (RU). In addition, this analysis reduces the multicolinearity and data redundancy of the original 14 variables by creating 6 less redundant factors from them. These new factors yield a EENA model of measurement with a fewer number of terms, a lower multicolinearity, and a multivariate normal distribution. The variable entitled Internal Comparisons (IC) is ranked as the most subordinate, and most dependent, while PPP is ranked as the most dominant variable.
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