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Validation Issues in the Public Sector

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Practitioner's Guide to Legal Issues in Organizations

Abstract

This chapter addresses test development and validation strategies for public safety jobs. Authoritative guidance provided by the Uniform Guidelines, Standards, and Principles is discussed along with best practices in job analysis, test administration, and validation. Case studies illustrating the inherent complexities in public safety assessment are presented.

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Notes

  1. 1.

    Private employers, state and federal governments, unions, and employment agencies.

  2. 2.

    The newest version of the Standards was released in September 2014 and was not yet published at the time of the writing of this chapter.

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Correspondence to Rick Jacobs PhD .

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Appendices

Recommended Readings

The following three (readings) provide guidelines and the legal foundation for employee selection. They are important to review and fully understand prior to launching a selection program:

  • Equal Employment Opportunity Commission, Civil Service Commission, Department of Labor, & Department of Justice (1978). Uniform Guidelines on employee selection procedures. Federal Register, 43(166), 38290–38315.

  • Equal Employment Opportunity Commission, Office of Personnel Management, Department of Justice, Department of Labor, & Department of the Treasury (1979). Adoption of Questions and Answers to clarify and provide a common interpretation of the Uniform Guidelines on Employee Selection Procedures. Federal Register, 44(43), 11996–12009.

  • Society for Industrial and Organizational Psychology (2003). Principles for the validation and use of personnel selection procedures (4th ed.). Bowling Green, OH: Author.

Other recommended readings:

  • McDaniel, M. A., Kepes, S., & Banks, G. C. (2011). The Uniform Guidelines are a detriment to the field of personnel selection. Industrial and Organizational Psychology, 4, 494–514. Also commentary that follows, 515–570.

    • This series of articles and the following commentaries present a current view of the legal underpinnings of employment testing:

  • Jacobs, R. R., Cushenbery, L., & Grabarek, P. E. (2011). Assessments for selection and promotion of police officers. In J. Kitaeff (Ed.), Handbook of Police Psychology (pp. 193–210). New York: Routledge.

    • This chapter discusses the ins and outs of one form of public sector testing, selection and promotion in law enforcement:

  • Farr, J. L. & Tippins, N. T. (Eds.) (2010), Handbook of Employee Selection (pp. 705–719). New York: Routledge.

    • This is a very fine collection of chapters which pair an academic with a practitioner in each of 44 topic areas including basics of testing, types of tests that are used for selection, public sector testing, selection of different types of workers from blue collar to managerial, and legal and ethical issues of testing.

  • McPhail, S. M. (Ed.) (2007). Alternative validation strategies: Developing new and leveraging existing validity evidence. San Francisco: Jossey-Bass.

    • Another excellent collection of chapters by knowledgeable authors on various approaches to creating evidence for testing programs.

  • Outtz J. L. (Ed.) (2010). Adverse Impact. New York: Routledge.

    • The definitive book on understanding the issues surrounding adverse impact. Again, written by authors who research and work in the area of selection testing.

Glossary

  • Adverse impact: A substantially different rate of selection in hiring, promotion, or other employment decision that works to the disadvantage of members of a race, sex, or ethnic group, as described in the Uniform Guidelines. A “substantially different” rate is typically defined in government enforcement or Title VII litigation settings using the 80 % rule, statistical significance tests, and/or practical significance tests. Adverse impact is not in itself evidence of discrimination if the selection measure can be demonstrated to be valid.

  • Meta-analysis: A statistical method of research in which the results from several independent studies of comparable phenomena are combined to estimate a parameter or the degree of relationship between variables.

  • Reliability: The degree to which scores for a group of candidates are consistent or stable over one or more potential sources of error (e.g., time, raters, items, conditions of measurement) in the application of a measurement device.

  • Selection ratio: The relationship between the number of candidates assessed on a selection measure and the number of candidates actually hired; generally expressed as a value ranging from 0 to 1 and calculated by dividing the number of positions available by the total number of candidates.

  • Utility: The usefulness of a selection measure or selection system. Utility is quantified through utility analysis, which estimates the economic return on investment to the organization of one selection strategy over another. Estimates may be expressed in various forms such as dollar values or as percentage increases in productivity.

  • Validation: The process by which the validity of the proposed interpretation of test scores is investigated. Although there are a number of strategies available for evaluating evidence of validity, the three most commonly relied upon strategies are construct-oriented, content-oriented, and criterion-related.

  • Validity: The degree to which accumulated evidence and theory support specific interpretations of scores from a selection procedure entailed by the proposed uses of that selection procedure; the accurateness of inferences made based on test or performance data; also addresses whether a measure accurately and completely represents what was intended to be measured. It is not the test itself that is validated, but rather the inferences and conclusions that are reached on the basis of test scores. That is, validity is not a property of a test, but rather, a function of what the scores on that test mean. There are various strategies for establishing the validity of a measurement device.

  • Validity generalization: The application of meta-analysis to determine whether the results from validity studies in a wide range of jobs and settings produce results that are sufficiently consistent to allow scientific generalization to a particular job.

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Jacobs, R., Nett, B. (2015). Validation Issues in the Public Sector. In: Hanvey, C., Sady, K. (eds) Practitioner's Guide to Legal Issues in Organizations. Springer, Cham. https://doi.org/10.1007/978-3-319-11143-8_8

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