Topics: Regression analysis, Standard deviation, Variance Pages: 19 (3417 words) Published: August 21, 2013
Is being physically strong still important in today's workplace? In our current high-tech world one might be inclined to think that only skills required for computer work such as reading, reasoning, abstract thinking, etc. are important for performing well in many of today's jobs. There are still, however, a number of very important jobs that require, in addition to cognitive skills, a significant amount of strength to be able to perform at a high level. Take, for example, the job of a construction worker. It takes a lot of strength to lift, position, and secure many building materials such as wood boards, metal bars, and cement blocks. In addition, the tools used in construction work are often heavy and require a lot of strength to control. When was the last time you tried to operate a jackhammer? There are many more jobs such as electrician and auto mechanic that also require strength. An interesting applied problem that arises is how to select the best candidates from among a group of applicants for physically demanding jobs. One obvious way might be to take them to a job site and have them demonstrate that they are strong enough to do the job. Unfortunately, this approach might be too time consuming if you are having to select a large number of people from a large applicant pool. Also, you risk injury to applicants who are not strong enough to do the job. A solution to this problem is to develop a measure of physical ability that is easy and quick to administer, does not risk injury, and is related to how well a person performs the actual job. A study by Blakely, Quiñones, and Jago (1995) published in the journal Personnel Psychology reports on the research results of just such a measure. That study, and this case study, looks at methods for determining if these strength tests are related to performance on the job. The principles and methods associated with this case study also apply to any number of variables other than strength and job performance.  

Case Study Objectives
The purpose of this case study is to describe the logic behind the statistical principles and procedures listed below within the context of an applied problem. After a thorough exploration of this case study and all associated links you should be familiar with the principles and be able to apply them to similar situations. In addition, you should be able to use one of several popular statistical packages to carry out the analyses described in this case study.  

The specific statistical principles associated with this study are: * scatterplots
* covariance
* correlation
* linear regression
* multiple regression
Recommended Use
The principles presented in this case study have a number of issues associated with them. Therefore, we recommend that you take the time to explore the various links presented in this case study. Some of those links will take you to additional information regarding a particular statistical procedure or issue. Others will take you to simulations which demonstrate the principles or techniques being presented. These simulations give you hands-on experience with the various statistical procedures and principles.  

Study Method and Procedure
Study Participants
The data presented in this case study were collected from 147 individuals working in physically demanding jobs including electricians, construction and maintenance workers, auto mechanics, and linemen. An analysis of the tasks performed in these jobs showed that a number of them required a substantial amount of strength to perform. Here are some examples of physically demanding tasks performed in some of these jobs. * Uses hand tools (wrenches, pliers, hammer)

* Carries equipment, tools, and other materials to and from job sites * Secures job site by laying out, constructing, and installing shoring, barricades, and industrial fencing * Excavates for landscaping, trenches, and job site

Physical Strength Measures...
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