Job Complexity Based on the Dictionary of Occupational Titles

Abstract

The Job Complexity scale, initially developed by Hunter (1980), utilizes objective occupational data, primarily derived from the DATA dimension of the Dictionary of Occupational Titles (DOT), to provide a systematic metric for job complexity. Unlike perceptual measures that assess psychological characteristics subjectively, this scale quantifies the inherent mental demands, required skill, and necessary training intrinsic to a specific job role. Occupations demanding significant aptitude, skill, and creativity are classified as high in task-person complexity.

Later refinements by Schaubroeck, Ganster, and Kemmerer (1994) expanded the rating criteria. The expanded scheme incorporated additional DOT characteristics, including the complexity of relationships with people, the level of required general intelligence, and the involvement of abstract and creative activities, thereby enhancing the scale’s comprehensiveness and relevance for modern occupational research.

Keywords

Job complexity, Dictionary of Occupational Titles (DOT), Hunter (1980), occupational assessment, mental demands, skill requirements, Schaubroeck et al. (1994), task-person complexity, archival data.

Authors

J. E. Hunter, E. L. Schmidt, M. K. Judiesch, J. Schaubroeck, D. D. Ganster, B. Kemmerer, D. Robie, A. M. Ryan, R. W. Schmieder, L. F. Parra, P. C. Smith.

Purpose

The primary purpose of this measure is to objectively quantify the inherent demands and complexity of various job roles using established governmental classification systems, specifically the DOT. It provides an objective assessment of the degree to which a job necessitates high levels of cognitive skill, training, and mental aptitude from the incumbent, serving as a robust alternative to subjective, perceptual measures of job characteristics.

The scale allows researchers and practitioners to categorize jobs into distinct complexity levels (e.g., high, moderate, low) for use in studies relating job structure to individual differences, performance variability, health outcomes, and job satisfaction.

Construct

The scale measures objective Job Complexity, defined as the extent of mental demands placed on a worker requiring significant skill, training, and aptitude. The original conceptualization by Hunter (1980) focused primarily on the complexity of interacting with data (the DOT DATA dimension).

The construct was later recognized as multidimensional, incorporating the complexity of dealing with inanimate objects (THINGS dimension), the complexity of dealing with people (“worker function characteristic”), required intelligence (“aptitude characteristic”), and the nature of work activities (abstract/creative vs. routine/concrete, or “interest characteristic”). This objective, archival approach distinguishes it fundamentally from measures that rely on incumbent perception to assess Job complexity.

Validity

Studies have consistently supported the measure’s Validity across various organizational and health outcomes. Robie et al. (1998) established that DOT-based job complexity correlated positively with several facets of job satisfaction, including satisfaction with pay, satisfaction with the work itself, and satisfaction with supervision, as well as requirements for specific vocational preparation.

In terms of health outcomes, Schaubroeck et al. (1994) found a significant positive correlation between job complexity derived from the DOT and the later incidence of cardiovascular disorder. Furthermore, Hunter et al. (1990) demonstrated that higher levels of complexity correlated positively with both the level and variation in job output, indicating strong predictive validity for performance metrics.

Reliability

The scale demonstrates strong internal consistency, confirming its Reliability as an objective measure. In the expanded four-characteristic scale utilized by Schaubroeck et al. (1994), the internal consistency, measured by coefficient alpha for the combined scale, was reported at an excellent value of .90.

Analyses conducted by Hunter, Schmidt, and Judiesch (1990) across multiple studies indicated high reliability across different complexity levels. Specifically, 15 out of 18 studies focusing on low-complexity jobs reported coefficient alpha values exceeding .70. Similarly, 14 out of 15 studies examining medium- and high-complexity jobs also reported coefficient alpha values of .70 or larger, suggesting consistent measurement quality across the entire occupational spectrum.

Factor Analysis

While the source content does not provide explicit details regarding a formal factor analysis, the scale is constructed based on distinct, yet related, dimensions within the DOT framework (DATA, THINGS, People function, Aptitude, Interest). These dimensions are treated as components contributing to the overarching construct of **Job Complexity**.

The high coefficient alpha (.90) reported for the combined scale by Schaubroeck et al. (1994) suggests that the characteristics utilized in the expanded measure cohere effectively as a unified measure, implying a strong general factor of complexity underlying these objective job attributes.

Instrument

Test Type: Objective Job Characteristics Rating Scale / Archival Data Assessment

Format: Structured coding based on occupational titles and their corresponding numerical codes within the Dictionary of Occupational Titles (DOT).

Language Available: English (as derived from the US DOT system).

Population Group: Occupational Data / Jobs / Incumbents.

Age Group: Applicable to working adults across all age ranges.

Population Details: The scale is based on characteristics of occupations defined within the DOT, covering the breadth of the US labor market.

Test Methodology: Expert raters or researchers assign complexity scores to job titles by referencing the specific numerical codes assigned to those jobs on the DATA and THINGS dimensions (and expanded characteristics in later versions) of the DOT.

Keywords

Occupational psychology, DOT DATA dimension, objective job measurement, skill requirements, training demands, cardiovascular disorder, job satisfaction, archival data.

Authors

Author ORCID Identifier: N/A (Not provided in source material)

Affiliation Email addresses: N/A (Not provided in source material)

Correspondence Address: N/A (Not provided in source material)

Permissions & Fee and Test Year

The scale methodology originates from research published in 1980 (Hunter) and was refined in 1990 (Hunter et al.) and 1994 (Schaubroeck et al.). As this measure is based on publicly available archival data from the U.S. Government’s Dictionary of Occupational Titles (DOT), the methodology itself is generally free to implement, though access to specific DOT documentation may be required. The original source text used for item description was reprinted with permission from the American Psychological Association (APA).

Reference’s

• Hunter, J.E. (1980). Individual differences in output variability as a function of job complexity. (Original development paper).

• Hunter, J. E., Schmidt, E. L., & Judiesch, M. K. (1990). Individual differences in output variability as a function of job complexity. Journal of Applied Psychology, 75, 28-42.

• Robie, D., Ryan, A. M., Schmieder, R. W., Parra, L. F., & Smith, P. C. (1998). The relation between job complexity and job satisfaction: A meta-analysis. Journal of Applied Psychology, 83(6), 936–956.

• Schaubroeck, J., Ganster, D. D., & Kemmerer, B. (1994). Job complexity and the development of cardiovascular disorder. Academy of Management Journal, 37(6), 1642-1662.

Items of the Job Complexity Based on the Dictionary of Occupational Titles

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way.

In Hunter’s original system, the two highest-complexity levels contain jobs with a code of O or 1 on the DATA dimension in the DOT (example jobs include scientists and executives) and jobs with a code of O on the THINGS dimension in the DOT classification (an example job is computer trouble shooters). Jobs with codes on the DATA dimension of 2, 3, and 4 are rated in the third level of complexity. The fourth level of complexity contains jobs with codes of 5 or 6 on the DATA dimension of the DOT. Lowest-complexity jobs are those with code of 6 on the THINGS dimension of the DOT. This rating approach was modified by Hunter et al. (1990) so that the first two levels (managerial/professional and complex technical setup work) were combined into high-complexity jobs. Skilled crafts, technician jobs, first line supervisors, and lower-level administrative jobs were combined into moderate-complexity jobs, and semiskilled and unskilled jobs were grouped into low-complexity jobs. In Schaubroeck et al. (1994), the rating scheme was expanded to cover additional characteristics included in the DOT. Besides the DATA and THINGS scores, the modified complexity rating includes a “worker function characteristic” for complex relationships to People, an “aptitude characteristic” for required intelligence, and an “inter est characteristic” for Abstract and creative versus routine, concrete activi ties (Schaubroeck et al., 1994).