Policy and Research Publications Online ReportsThe Revised Handbook for Analyzing Jobs (1991)
Editor's Note: The following synopsis is extracted from the Introduction and Chapter 1 of the Handbook. The Handbook for Analyzing Jobs contains the methodology and benchmarks used by the cooperative Federal-State Occupational Analysis Program in gathering and recording information about jobs. Major Occupational Analysis products include the Dictionary of Occupational Titles which contains occupational definitions of some 13,000 occupations, Selected Characteristics of Occupations Defined in the Dictionary of Occupational Titles, and the Guide for Occupational Exploration. All of these publications are available from the U.S. Government Printing Office. Job information is the basic data used by industry, governmental and private agencies, and employee organizations for many human resource programs. The nature of the required job information varies in type and approach according to program needs. Regardless of the ultimate use for which it is intended, however, the data must be accurate; inclusive, omitting nothing pertinent to the program; and presented in a form suitable for study and use. The techniques for obtaining and presenting this information are known as "job analysis." In the United States Employment Service, job analysis involves a systematic study of a specific job in terms of: -- The worker's relationship to data, people, and things; -- The methodologies and techniques employed; -- The machines, tools, equipment, and work aids used; -- The materials, products, subject matter, or services which result; and -- The worker attributes that contribute to successful job performance. This handbook is devoted to an explanation of the procedures and techniques used in the public employment service to analyze jobs and record the analyses. These procedures were developed to meet the occupational information needs of various human resource programs, and are applicable to any job analysis program, regardless of the intended utilization of the data.