This paper examines three prominent job evaluation methods — Lott's Point Method, Benge's Factor Comparison, and Multiple Regression — used by employers to establish justified pay structures. It defines job evaluation as a systematic process for developing pay variations among jobs within a single organization, then compares the compensable factors, procedural stages, and statistical approaches associated with each method. The paper identifies key similarities, such as the shared use of statistical processes and overlapping compensable factors, as well as important differences in how each method assigns value to jobs, concluding with practical examples of how each approach operates in an organizational compensation context.
As evident in the works of many professionals and scholars, job evaluation is described as a method that helps establish a justified rank order of jobs. This process is considered the starting point for developing the relative variations of wage rates. In some cases, job evaluation is defined as a systematic process geared toward developing pay variations among jobs within a single employer. In the past few years, several methods of job evaluation have been developed to make this process easier to understand and carry out. In addition to being used as a formal method for setting wage rates and pay scales, job evaluation methods are used for assessing the value relationships between jobs. Some of the most common methods of job evaluation include Lott's Point Method, Benge's Factor Comparison, and the Multiple Regression method.
Benge's method of job evaluation is based on five compensable factors: responsibility, mental requirements, working conditions, skill requirements, and physical requirements (Henderson, 2006, p. 181). The method is built around these factors because they are most commonly used for creating base wage differences. Notably, compensable factors are described as particular job content features or requirements that are common to nearly every job.
Lott's Point Method, by contrast, proposed the use of fifteen compensable factors to determine various aspects of a job, such as pay rates and content features. These factors are used to determine the value of jobs by assigning each factor a numeric or point value. Some of the fifteen compensable factors used in Lott's Point Method include skill, responsibility, effort, and working conditions.
Multiple Regression is a job evaluation method based on scientific investigation and empirical application rather than hypothesis and theory. As a result, this method relies on objective and statistically scientific processes to determine and evaluate compensable factors that generate fair, reliable variable data — such as pay rates or probable increases in payment for a given job.
These job evaluation methods share several major similarities with regard to their use in determining pay differences between various jobs and their application in a bias-free environment. One of the primary similarities among the three methods is that they all use statistical processes to determine and examine compensable factors related to pay or probable increases in pay. Secondly, both Lott's Point Method and Benge's Factor Comparison use some of the same compensable factors — such as responsibilities, skill, effort, and working conditions — to determine the value of jobs.
Despite these similarities, the three job evaluation methods also differ in important ways. Lott's Point Method and Benge's Factor Comparison, for instance, use different evaluation procedures despite sharing some common compensable factors. Unlike Benge's method, Lott's Point Method involves assigning every compensable factor a numeric or point value. Under this method, the total numeric value of the compensable factors is determined by the wage spread between the highest- and lowest-paid positions in an organization ("Position Evaluation," n.d.). For example, if the total point spread between the highest-paid job and the lowest-paid job is 300%, the highest-paid position should receive five times more compensation than the lowest-paid position.
"Contrasting procedures for assigning job value"
"Real-world compensation examples for each method"
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