Risher H
Personnel. 1978 Sep-Oct;55(5):23-36.
People can't be completely objective in assessing how much any job is worth--employees, managers, and salary administrators all bring their own biases to job evaluation. And the two most widely used systems--market pricing and conventional evaluation plans--are fraught with weaknesses. Howard Risher breaks through the subjectivity barrier with a new approach that overcomes many of the problems in matching salary to position: multiple regression analysis. An analytical technique that enables managers to integrate internal and external factors in compensation decisions, regression analysis describes "what is", and not "what should be", with regard to compensation levels. (However, "if management disagrees with the values expressed, the equation can be readily modified to a 'what should be' statement"). The use of multiple regression analysis in assessing job worth is explained in down-to-earth, recognizable terms, and Risher shows salary administrators how to reduce costs, time, and headaches with this factually based evaluation system.
人们在评估任何工作的价值时都不可能完全客观——员工、经理和薪资管理人员在工作评估中都带有自己的偏见。而两种最广泛使用的系统——市场定价和传统评估计划——都存在着诸多弱点。霍华德·里舍尔通过一种新方法突破了主观性障碍,这种方法克服了薪资与职位匹配中的许多问题:多元回归分析。作为一种使经理们能够在薪酬决策中综合考虑内部和外部因素的分析技术,回归分析描述的是薪酬水平的“实际情况”,而非“应该是怎样的情况”。(然而,“如果管理层不同意所表达的数值,该方程式可以很容易地修改为‘应该是怎样的情况’的表述”)。本文用通俗易懂、易于理解的术语解释了如何在评估工作价值时使用多元回归分析,里舍尔还向薪资管理人员展示了如何通过这个基于事实的评估系统降低成本、节省时间并减少麻烦。