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An overview of competency modeling and job analysis, including definitions, current trends, and debates in the literature. Competencies are defined as a combination of knowledge, skills, abilities, and other individual characteristics that can be reliably measured and differentiate performance. Competency modeling involves identifying and measuring the necessary KSAOs for job success, while job analysis deals with collecting data about observable job behaviors and delineating the required KSAOs. The document also discusses the automation and strategic aspects of job analysis and competency modeling, as well as the reliability of ratings and rater training.
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The current report details the state of the academic literature on competency modeling and job analysis. The paper begins by providing definitions of competencies, competency modeling, and job analysis. The next section summarizes current trends in the literature on competency modeling and job analysis. The final section uncovers some current debates in the competency modeling and job analysis literatures.
Competencies: Although the definition appears to vary widely (Schippmann, et al., 2000), competencies are typically defined as a combination of knowledge, skills, abilities and other individual characteristics (often called KSAOs; including but not limited to motives, personality traits, self-concepts, attitudes, beliefs, values, and interests) that can be reliably measured and that can be shown to differentiate performance (Mirabile, 1997; Schippmann, et al., 2000; Spencer, McClelland, & Spencer, 1994).
Competency modeling: Competency modeling is typically defined as the identification, definition, and measurement of the KSAOs that are needed to perform successfully on the job (Bartram, 2004; Schippmann, et al., 2000). Competency modeling can be carried out using a few different approaches, but the most common are the individual job level and the organization level (Mansfield, 1996). The former deals with identifying the characteristics (i.e., KSAOs) that are necessary to be successful in a particular job (often referred to as a bottom-up competency model, and is quite similar to job analysis), whereas the latter takes into account organizational objectives, vision, and strategy and attempts to develop a set of competencies that are applied to the entire organization, a department within the organization, or a job family within the organization (Lawler, 1994; Prahalad & Hamel, 1990).
Job analysis: Broadly defined, job analysis involves collecting data about observable job behaviors, and delineating the knowledge, skills, abilities, and other characteristics needed to perform the job (Cascio & Aguinis, 2005; Harvey, 1991). This broad definition is typically broken into two separate approaches to job analysis: worker-oriented job analysis and task- oriented job analysis. Worker-oriented job analysis is often referred to as job specification and deals with the necessary KSAOs for successful completion of the job. As one can see, this is very similar in nature to the definition of competency modeling advanced above.
The other approach is referred to as task-oriented job analysis (also called work-oriented), and deals with what gets done on the job (i.e., the job relevant behaviors) and how the job is conducted (including the tools, machinery, information, and people with which the incumbent typically interacts). This approach is often referred to as a job description, as it details the necessary behaviors for successful completion of the job (Cascio & Aguinis, 2005).
Automation of competency modeling/job analysis
The use of technology is changing the nature and execution of many areas of human resource practice (e.g., online assessments; Bartram, 2004). In an effort to streamline and make the process of competency modeling/job-analysis more efficient, Mason and Lin (2008) advocate the use of online data warehouses of competency models, web-based focus groups, and the use of online surveys to gather data from subject matter experts (SMEs) and incumbents. Others have utilized an online database of job information called the Occupational Information Network (O*NET) for the purpose of gathering position requirements and determining common tasks (e.g., McEntire, Dailey, Osburn, & Mumford, 2006; Reiter-Palmon, Brown, Sandall, Buboltz, & Nimps, 2006).
The implementation of these methods may have drawbacks, including the inability to detect and account for cultural differences, the lack of access to technology in certain areas of the world, and the inability to apply the pre-made models to specific jobs. Mason and Lin make some important recommendations for other practitioners who choose to implement job analysis or competency modeling using technology, including a great deal of planning in advance and ensuring that key stakeholders get involved. As Harvey (2008) points out, the automation of job analysis and competency modeling has tremendous potential to make the process more affordable and practical, but warns of the problems (e.g., inaccuracy) associated with applying an average profile to a specific job.
Strategic job analysis
Strategic job analysis involves attempting to identify the relevant tasks, behaviors, and KSAOs for a job as they are predicted to be in the future (Schneider & Konz, 1989). This approach represents a change from descriptive job analysis (with a focus on describing the job as it currently exists) to predictive job analysis (which focuses on how the job is expected to be in the future). The need for strategic job analysis is becoming more apparent because of the dynamic nature of modern-day organizations (with a greater reliance on rapidly changing project teams) and as organizations try to hire, train, and appraise the performance of new positions (Sackett & Laczo, 2003; Sanchez & Levine, 2001). Despite the increased call for strategic job analysis, very little research has been conducted on the topic, with most of the available literature on the topic being prescriptive in nature (with the exception of Arvey, Salas, & Gialluca, 1992; Bruskiewicz & Bosshardt,
Cognitive task analysis
With the advent of the Internet and the great increase in technology across the workplace, today’s jobs contain more cognitive complexity than ever before (Bartram, 2004). In an effort to best select and appraise the performance of today’s workers, cognitive task analysis (CTA), that is, the identification and analysis of cognitive processes that underlie task performance, has been offered as a supplement to traditional task analysis (Chipman, Schraagen, & Shalin, 2000; Sackett & Laczo, 2003). The effectiveness of CTA at modeling the cognitive processes of jobs has recently been demonstrated in a large-scale meta-
analysis by Dierdorff and Wilson (2003) found, ratings made by SMEs are considerably more reliable across raters as compared to inexperienced incumbents. Lievens, et al. (2004) found that adding task statements to a competency modeling effort was able to improve SME inter-rater reliability. These authors echo the point made by Schippmann, et al. (2000) that adding some of the methodological rigor that is inherent in job analysis to competency modeling can improve efforts in this area.
Rater training in competency modeling and job analysis
One final area of recent research has been to extend the rater training findings from job analysis (see Cellar, Curtis, Kohlepp, Poczapski, & Mohiuddin, 1989; Sanchez & Levine,
This section details a number of debates that exist in the literature regarding competency modeling and job analysis. These debates are framed as questions and the answer will contain several different viewpoints relevant to the debate.
There is some disagreement about the definition of a competency. What is a competency?
To what extent are competencies different from the traditional knowledge, skills, abilities and other individual characteristics (KSAOs) that are typically identified through job analysis?
The voluminous writing on competency modeling and job analysis is enough to leave one feeling unsure about which approach is best amid the debates. Well, the question of a singular overall best approach is perhaps not the right way to approach the issue. Instead, the approach that is chosen should depend on the conditions of the environment/job, the needs of the organization, and the ultimate uses of the competency model/job analysis (see Table 1 below). For example, if an organization is interested in developing a leadership training component for a succession planning program, then the best approach would likely be a top-down competency model, because the mission and goals of the organization will be important. However, if the organization is interested in developing a selection instrument for a new job in their IT department, then perhaps a strategic job analysis would be most appropriate because of the legal implications of a selection context and the forward looking aspect of the strategic job analysis. One could also employ a methodologically sound bottom-up competency model to this situation, ensuring to keep a focus on what competencies will be important for success in the future.
Table 1. Sample of different uses of job analysis/competency modeling depending on needs.
Job analysis
Competency modeling
Situation
Personal ity
Strategi c
Cognitiv e task
Work- oriented
Top- down
Bottom- up
Leadership training for succession planning
Selection instrument for a new IT job
In addition, an organization can decide on the level of specificity that is desired and the organizational level at which the competency modeling/job analysis effort will be focused (see Table 2). For example, if an organization was interested in examining an individual job at a particular moment in time, they may consider conducting a job analysis. However, if
Chipman, S. F., Schraagen, J. M., & Shalin, V. L. (2000). Introduction to cognitive task analysis. In J. M. Schraagen, S. F. Chipman, & V. L. Shalin (Eds.), Cognitive task analysis (pp. 3-23). Mahwah, NJ: Erlbaum. Costa, P. T., McCrae, R. R., & Kay, G. G (1995). Persons, places, and personality: Career assessment using the Revised NEO Personality Inventory. Journal of Career Assessment, 3, 123-139. Cucina, J. M., Vasilopoulos, N. L., & Sehgal, K. G. (2005). Personality-based job analysis and the self-serving bias. Journal of Business and Psychology, 20, 275-290. Dierdorff, E. C., & Wilson, M. A. (2003). A meta-analysis of job analysis reliability. Journal of Applied Psychology, 88, 635-646. Green, P. C. (1999). Building robust competencies: Linking human resource systems to organizational strategies. San Francisco: Jossey-Bass. Harvey, R. J. (1991). Job analysis. In M. D. Dunnette & L. Hough (Eds.), Handbook of Industrial and Organizational Psychology (2nd^ ed.). Palo Alto, CA: Consulting Psychologists Press. Harvey, R. J. (2008, April). Discussant comments. In C. Murphy (Chair), Practical considerations and future directions in job analysis and specification. Symposium conducted at the 22nd^ annual meeting of the Society for Industrial and Organizational Psychology, San Francisco, CA. Lawler, E. E. (1994). From job-based to competency-based organizations. Journal of Organizational Behavior, 15, 3-15. Lee, R. L. (2004). The impact of cognitive task analysis on performance: A meta-analysis of comparative studies. Dissertation Abstracts International, 65 , 7A. (UMI No.
Lievens, F., & Sanchez, J. I. (2007). Can training improve the quality of inferences made by raters in competency modeling? A quasi-experiment. Journal of Applied Psychology, 92, 812-819. Lievens, F., Sanchez, J. I., & DeCorte, W. (2004). Easing the inferential leap in competency modeling: The effects of task-related information and subject matter expertise. Personnel Psychology, 57, 881-904. Mansfield, R. S. (1996). Building competency models: Approaches for HR professionals. Human Resource Management, 35, 7-18. Mason, C., & Lin, L. (2008, April). The application of a streamlined job analysis to human resource systems: Important considerations, best practices, and lessons learned. Paper presented at the 22nd^ annual meeting of the Society for Industrial and Organizational Psychology, San Francisco, CA. McEntire, L. E., Dailey, L. R., Osburn, H. K., & Mumford, M. D. (2006). Innovations in job analysis: Development and application of metrics to analyze job data. Human Resource Management, 16, 310-323. Mirabile, R. J. (1997, August). Everything you wanted to know about competency modeling. Training and Development , 73-77. Ones, D. S., Viswesvaran, C., & Schmidt, F. L. (2003). Personality and absenteeism: A meta-analysis of integrity tests. European Journal of Personality, 17, S19-S38. Prahalad, C. K., & Hamel, G. (1990, May-June). The core competence of the corporation. Harvard Business Review, 79-91. Raymark, P. H., Schmit, M. J., & Guion, R. M. (1997). Identifying potentially useful personality constructs for employee selection. Personnel Psychology, 50, 723-736. Reiter-Palmon, R., Brown, M., Sandall, D. L., Buboltz, C., & Nimps, T. (2006). Development of an O*NET web-based job analysis and its implementation in the U.S. Navy: Lessons learned. Human Resource Management Review, 16, 294-309.
Sackett, P.R., & Laczo, R.M. (2003). Job and work analysis. In W.C. Borman, D.R. Ilgen, and R.J. Klimoski (Eds.), Handbook of psychology: Industrial and Organizational Psychology (Vol. 12, pp. 21–37). Hoboken, NJ: Wiley. Sanchez, J. I., & Levine, E. L. (1994). The impact of raters' cognition on judgment accuracy: An extension to the job analysis domain. Journal of Business and Psychology, 9, 47-
Sanchez, J. I., & Levine, E. L. (1999). Is job analysis dead, misunderstood or both? In Kraut, A.I., Korman, A.K. (Eds.), Evolving Practices in Human Resource Management. San Francisco: Jossey-Bass. Sanchez, J. I., & Levine, E. L. (2001). The analysis of work in the 20th^ and 21st^ centuries. In N. Anderson, D. S. Ones, H. K. Sinagil, & C. Viswesvaran (Eds.), Handbook of Industrial, work, and organizational psychology (pp. 70-90). London: Sage. Schippmann, J. S., Ash, R. A., Battista, M., Carr, L., Eyde, L. D., Hesketh, B., et al. (2000). The practice of competency modeling. Personnel Psychology, 53, 703 – 740. Schneider, B., & Konz, A. M. (1989). Strategic job analysis. Human Resources Management, 28, 51-63. Spencer, L. M., McClelland, D. C., & Spencer, S. (1994). Competency assessment methods: History and state of the art. Boston: Hay-McBey Research Press. Yates, K. A. (2007). Toward a taxonomy of cognitive task analysis methods: A search for cognition and task analysis interactions. Dissertation Abstracts International, 68 , 4A. (UMI No. 3261819)
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