What Does Local Validation Add to an Employer’s Personality Test?

What does local validation add to an employer personality assessment?

Local validation tests how well a proposed interpretation of personality-assessment scores fits an employer’s job, outcome, population, and decision rule. It can reveal a mismatch that a broad publisher claim leaves unresolved. But “local” is not a quality badge: local evidence does not automatically outweigh relevant outside evidence, establish fairness, or prove that a score should decide an applicant’s case. The question is whether evidence supports the specific employment inference being made. Here, local validation means examining evidence in the setting where an employer uses a personality assessment in selection. The focus is not whether a questionnaire has a plausible trait name or sounds familiar to managers. It is whether its score supports a defined interpretation for a role and use. In its Questions and Answers on the Uniform Guidelines, the U.S. Equal Employment Opportunity Commission explains that evidence connecting a selection procedure with successful job performance may come from local validation or studies conducted elsewhere. An unsupported assertion that a test has been validated is not enough. This is U.S. employment-selection guidance, not a universal legal rule. Consider an employer using a personality scale while hiring for a particular role. A publisher may offer evidence across several settings, while the employer’s own study may examine whether scores relate to an outcome it considers important there. The study could clarify whether that proposed link merits use, or show that the employer’s question remains unanswered. No result should be assumed just because a study was performed. The Office of Personnel Management’s “Designing an Assessment Strategy” notes that when a personality test is intended to forecast later performance, relevant evidence concerns whether scores relate to subsequent job performance. This describes the claim to investigate, not a finding about every test or job. When someone says an assessment was locally validated, ask what score interpretation, job, outcome, population, and decision rule the evidence covers. The local label identifies context; the study’s methods and fit determine what can reasonably be concluded.

Sources: Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures; Designing an Assessment Strategy

What does validation mean for a personality assessment?

Validation is evidence for a particular interpretation or use of scores. It is not a permanent quality badge attached to a questionnaire. For an employer using a personality assessment, the central question is whether the inference from a measured tendency to a work-relevant outcome is supported for which scale, role, outcome, population, and employment decision. A vendor’s statement that an instrument is “validated” leaves those parts unspecified. Ask what conclusion the evidence warrants, rather than accepting the label as a verdict. The distinction matters because several different claims can sit behind one report. Evidence that a scale measures its intended construct concerns what the score represents. Evidence connecting that score to an outcome concerns whether the proposed work-related interpretation has support. Neither claim alone establishes that a score is useful for every job, population, or decision rule. The Office of Personnel Management’s “Designing an Assessment Strategy” describes validity in relation to assessment and job performance, and notes that when a personality test is intended to forecast later performance, evidence may be needed that its scores relate to subsequent performance. This illustrates the evidence question; it is not a universal finding about personality measures. In U.S. employment-selection guidance, the Uniform Guidelines do not treat a plausible rationale as enough. The Equal Employment Opportunity Commission’s “Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures” explains that evidence may come from local studies or studies conducted elsewhere, while an unsupported assertion of validity does not supply evidence. The Guidelines’ technical standards, reproduced in “28 CFR § 50.14,” make a further distinction: content validity is not an appropriate strategy, by itself or primarily, for procedures that purport to measure traits or constructs such as personality. Content validity ordinarily concerns whether a procedure samples important work behavior or its products. A questionnaire about tendencies does not become a sample of job behavior because an employer describes those tendencies in job-related language. Job analysis still matters. It helps specify the important work behaviors and explain why a construct may relate to them. But under the cited U.S. framework, that reasoning does not alone establish the personality measure’s relationship to the job: the construct and measure need supporting empirical evidence. These are U.S. selection-guideline sources, not a statement of universal law; requirements may differ by jurisdiction and circumstance. The practical rule is: ask what precise score interpretation or employment use was studied, and whether the evidence supports that inference. “Validated” without that scope is incomplete information.

Sources: Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures; 28 CFR § 50.14; Designing an Assessment Strategy

Why does linking a score to the actual job matter?

A personality scale may describe a trait as relevant to a job, such as conscientiousness for careful work. That is a hypothesis, not evidence that the score bears on the employer’s outcome. The link is a chain: analysis of work identifies consequential behaviors; those behaviors guide the choice of an outcome; the assessment score is examined in relation to it; and the result is interpreted only for the use studied. A local study can make this chain visible for a role. It cannot make “good fit” precise simply by collecting data at the employer’s site. The Uniform Guidelines on Employee Selection Procedures distinguish evidence that a procedure predicts or correlates with important job-performance elements from the claim that its content represents job performance. They state that content validity is not appropriate for procedures purporting to measure intangible traits or constructs such as personality. Job analysis can identify behaviors and outcomes that could make a trait relevant, but resemblance between a trait and job description does not establish a score-to-performance relationship. The kind of measure determines what evidence can support the inference. Consider an explicitly illustrative comparison. For a role involving repeated record checks, an employer might propose that a personality scale relates to documented error rates or another defined accuracy outcome. That is more testable than saying the scale identifies people who are a “good fit.” It shows what the claim must specify: which scale, outcome, and why the outcome matters in the role. Designing an Assessment Strategy, from the U.S. Office of Personnel Management, uses a customer-service personality test as an example for which predictive evidence would examine whether scores relate to later job performance. This describes a question to test, not a finding about a specific test. The outcome also needs scrutiny. Principles for the Validation and Use of Personnel Selection Procedures says criteria should reflect important work behavior or outcomes and be relevant to the proposed use. A broad supervisor rating may miss parts of the work or reflect influences outside the employee’s behavior. The Principles call these criterion deficiency and contamination. In an accuracy study, error counts could be affected by workload, tools, or recording practices. That does not invalidate every measure, but it limits what a score-outcome relationship means unless the study considers how the outcome was produced. Timing changes the inference. If scores are collected before people enter the role and outcomes measured later, the design addresses prediction over that interval. If current employees complete the assessment and their present performance is measured at roughly the same time, the result is concurrent evidence about that workforce and setting. The Principles distinguish these designs and note that participant selection can affect interpretation. Neither design alone settles whether the result applies to future applicants or another role. When an employer cites a local relationship, ask what the criterion measured, when it was measured, and whether the sample and work resemble the intended use. An unspecified rating does not establish the employer’s precise job claim.

Sources: 28 CFR § 50.14; Principles for the Validation and Use of Personnel Selection Procedures; Designing an Assessment Strategy

When can outside evidence travel to this employer?

Outside evidence can be sufficient when an employer shows that the instrument, job, work outcome, relevant population, and decision method are similar enough to support the same score interpretation. A local study is useful when an important difference leaves that fit uncertain. “Transportability” means a reasoned extension of validity evidence from a study elsewhere to a new employment setting. The comparison is between local criterion-related evidence and an accumulated body of comparable evidence, sometimes summarized through generalization. Criterion-related evidence examines whether assessment scores relate to a specified work outcome. The American Psychological Association’s *Principles for the Validation and Use of Personnel Selection Procedures* explains that evidence from elsewhere may support use in a new setting when the employer makes a compelling case for direct applicability. It calls for reviewing the original study and similarities between that study and the proposed setting. A useful comparison checks the same parts on both sides. Is the exact scale and scoring method the one studied? Do the roles involve comparable important behaviors? Was the outcome measured in a way that corresponds to the employer’s claim? Does the evidence concern a relevant population, with a credible sample and method? Finally, is the score used in the same way: as one input, a screen, a ranking factor, or part of a combined rule? Conversely, evidence from another location may be more relevant than a small local study if jobs, criteria, and use closely match and methods are sound. The APA principles illustrate why strategy depends on the setting. For a small workforce, an organization may rely on validity-generalization evidence when extensive research exists for similar predictor–outcome relationships. To extend a procedure between business units for the same job, the principles describe a transportability study as one option. For a role unique to the organization, that route may not be available, so another strategy must be considered. These examples match strategy to constraints, not prove a particular personality scale suits those jobs. The EEOC’s *Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures* recognizes that job-related validity evidence may come from local research or studies elsewhere. This U.S. guidance does not make “local” an automatic requirement or a guarantee of adequate evidence; the proposed inference and context still matter. The provider page *What Is a Local Validity Study?* describes comparing scores with job-performance measures among employees in a role and notes that local studies need substantial samples. It is a commercial explanation, not independent proof that a correlation validates hiring use; few incumbents may also leave local data too limited to settle the question. An employer should state why external evidence fits, and identify what remains unanswered. A local study can check or supplement that case when the job, outcome, population, or decision rule differs materially. Relevance and study quality matter more than geographic closeness or national breadth. The reader should ask for the exact match and unresolved gap before treating “locally validated” or “nationally validated” as a verdict.

Sources: Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures; Principles for the Validation and Use of Personnel Selection Procedures; What Is a Local Validity Study?

What can a local sample show, and what can it distort?

A local sample brings together people from an employer or work setting, their assessment scores, and outcomes. It can show whether a proposed score-outcome relationship appears in those data. It cannot by itself show that the relationship is stable, precise, fair across groups, or useful for every applicant. The first limit is precision. With few observations, an estimate may shift when a small number of cases change. An uncertain local result does not establish that an assessment has no relationship with performance; the data may be unable to distinguish a modest relationship from no relationship. The APA’s *Principles for the Validation and Use of Personnel Selection Procedures* treats feasibility, participant selection, criterion quality, and analysis as study-planning concerns. A report should identify who was included, what outcome was measured, and how uncertainty was assessed. A summary number without this context is difficult to interpret. The people available to study matter too. Employers may have outcome records for current employees, while the intended use concerns applicants. Employees have already passed through hiring and may differ from the broader applicant pool. Earlier selection can narrow the range of scores among employees, so a relationship in that restricted group may not match the relationship among applicants. Still, incumbent data should not be dismissed automatically. The accessible abstract for *Personality Test Validation Research: Present-employee and job applicant samples* reports a quantitative review of seven personality constructs and a simulation. Sample type moderated some validity estimates, but effects were generally small and inconsistent in direction: incumbent estimates were sometimes larger, sometimes smaller. The abstract supports using incumbent samples with caveats. Since the accessible record does not provide full methods and estimates, it supports caution against categorical claims, not a universal prediction rule. Outcome records create another limit. A manager rating or productivity measure may reflect influences besides the behavior the assessment is intended to relate to. If the criterion is inconsistent, incomplete, or shaped by the same judgment that used the assessment, the association may be difficult to interpret. The Uniform Guidelines in 28 CFR § 50.14 call for evidence suited to the proposed procedure and use; a local correlation cannot repair a poorly defined outcome. The APA Principles likewise treat criterion development and relevance as substantive questions. Local averages can also conceal uncertainty in smaller groups. Limited data may make subgroup estimates too imprecise for confident comparisons. An overall relationship does not establish that a score works similarly for every group, and a noisy subgroup difference does not prove that it does not. The report should state what its data can resolve. A local sample can reveal a contextual signal, a mismatch, or a question to investigate. When size, selection, or outcome quality weakens the estimate, confidence should narrow. Comparable accumulated evidence may be more informative than the local result alone. An unclear local estimate is incomplete evidence for that setting, not proof for or against the assessment.

Sources: Personality Test Validation Research: Present-employee and job applicant samples; Principles for the Validation and Use of Personnel Selection Procedures; 28 CFR § 50.14

Does local validation change the score or its norm?

Not necessarily. Local validation examines whether a specified interpretation or use is supported in context; local norming changes or supplies the comparison group used to describe where a score falls. A locally normed score is not thereby shown to predict job performance. An employer may use “local” for different work: studying a relationship with an outcome, recalculating reference values, adjusting a scoring method, or combining these steps. In “Designing an Assessment Strategy,” the U.S. Office of Personnel Management (OPM) treats validity as evidence about the relationship between an assessment and job performance, while its glossary separately describes norms and norm groups as reference points for interpreting scores. Validation need not change the report’s numbers or comparison group. A study might leave the questionnaire, scoring formula, and published norms untouched while asking whether a score interpretation is relevant to a role and outcome. Conversely, local norming can change how relative standing is described without establishing that the score is useful for hiring. Consider a hypothetical report that gives a percentile. A percentile says where a score stands relative to a specified reference group: this could be a broad norm sample or a defined local group, if local norms have been developed. The number’s meaning as relative standing depends on that group. Changing the reference group could change the reported percentile even though the person’s answers and raw score stay the same. This illustrates the definition; it is not an empirical result or a claim about a particular assessment. A different question is whether the assessment score relates to an outcome the employer cares about. The evidence concerns the score and a defined work outcome under a stated use; replacing a broad norm group with local norms does not answer it. The Equal Employment Opportunity Commission’s “Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures” says evidence supporting job-related validity may come from local or outside studies. Its point concerns evidence for the proposed use, not making a report’s score local. This is U.S. selection guidance, not universal law. When a report or vendor says “locally validated,” ask what changed and what was examined. Was there a local study relating scores to job outcomes? Were norms recalculated for a local reference group? Was a scoring algorithm adjusted? Did the employer do more than one of these, and is each documented? The terms alone do not establish that a percentile is locally normed, that a formula was recalibrated, or that an individual score predicts performance. A precise answer names the measure, reference group if applicable, outcome, and intended decision. If those particulars are absent, treat “local” as incomplete and ask for the evidence behind it.

Sources: Designing an Assessment Strategy; Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures

What decision can the evidence support?

Evidence that a personality score relates to a work outcome does not justify every way an employer might use it. The method matters. The Uniform Guidelines on Employee Selection Procedures say evidence sufficient for pass/fail screening may be insufficient for ranking, especially when ranking has greater adverse impact. They also say cutoffs should be reasonable and consistent with acceptable proficiency. Evidence supporting a scale as one input does not automatically support a threshold that removes applicants or a ranking based on small score differences. The study must fit the decision.

The same question applies when an employer combines a personality score with interviews, work samples, or other measures. The U.S. Office of Personnel Management calls information a measure adds beyond another predictor “incremental validity.” Its guidance explains that a measure can contribute information even if its standalone relationship is limited. This principle is not a guarantee about a particular report: the employer needs evidence that the combination adds information relevant to the job and outcome. A local study can test that contribution. Without evidence, an employer should not claim a score improves decisions simply because it relates to performance on its own.

Local monitoring also asks who advances or is screened out. The Uniform Guidelines call for attention to adverse impact, or substantially different selection rates among protected groups under the U.S. framework, and consideration of suitable alternatives with less adverse impact when they serve the employer’s purpose and are substantially equally valid. An overall score-outcome relationship cannot answer this fairness question. Local evidence may reveal concerns, though small groups leave estimates uncertain.

Local evidence may support a particular scale, role, outcome, and monitored method of use, or show that the score adds no demonstrated value beyond other job-related evidence. Ask whether the study examined the actual cutoff, ranking, or combination, and what alternatives and group-level effects were considered. These are U.S. guidelines, not universal legal rules; jurisdiction matter.

Sources: 28 CFR § 50.14; Designing an Assessment Strategy; Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures

What does 'locally validated' justify—and what remains uncertain?

“Locally validated” justifies a bounded claim: evidence supports an interpretation of a measure, for a defined job outcome, in a studied population,. It does not establish that personality determines performance, that every applicant’s score is accurate, or that the process is fair. The U.S. Equal Employment Opportunity Commission’s Questions and Answers on the Uniform Guidelines allows local or outside evidence for job-related validity; neither label is sufficient alone. A strong external evidence base can be more informative than a weak local study. The American Psychological Association’s Principles for the Validation and Use of Personnel Selection Procedures describes different strategies, including cumulative evidence or transportability. Transportability means making a reasoned case that findings from another setting apply here. It depends on fit between the measure, work, outcome, population, and decision. Close fit can make a local sample add little. If the role or use differs, a broad publisher claim may leave the key question unanswered. Local evidence has limits. Current employees may not represent applicants; small or selected samples leave relationships uncertain. The Virginia Tech repository abstract reports a meta-analysis across seven personality constructs and a simulation: sample type moderated some validity estimates, but effects were generally small and inconsistent. It supports cautious use of incumbent samples, not a rule that incumbents always represent applicants. It does not establish that a particular employer’s assessment is suitable. Even a supported relationship is not a verdict on an individual. A score is an estimate tied to a measure and administration; work outcomes also reflect other circumstances. An overall result does not settle whether evidence is equally informative across groups or whether the decision rule is justified. A local study can identify questions to monitor; an imprecise subgroup result cannot prove equal outcomes. The conclusion may be narrower use, further evidence, monitoring, or no selection use. Ask which interpretation and decision the study supports, how outside evidence compares, and what uncertainty remains. Treat “locally validated” as the start of that inquiry, not its answer.

Sources: Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures; Principles for the Validation and Use of Personnel Selection Procedures; Personality Test Validation Research: Present-employee and job applicant samples

What should a reader ask next?

Ask the employer to name the personality scale, role, work outcome, study population, and decision covered by its validation claim. Compare those details with the proposed use. The EEOC interpretive Q&A on the Uniform Guidelines explains that job-related evidence may come from local or outside studies, while an unsupported claim that a test is validated is not enough. The question is whether evidence supports this score interpretation in this job and decision. Request the technical summary. Look for the link between the score and outcome, who supplied the data, and how the employer plans to use the result. The Office of Personnel Management’s “Assessment and Selection” guidance describes validity as a relationship between an assessment and job performance, and explains why employers should ask what a measure adds alongside other information. Evidence about one scale and outcome does not establish that a cutoff, ranking, or combined rule is useful. Ask whether “local” refers to performance evidence, local norms, or both; these answer different questions. If the studied population, outcome, role, or decision rule differs from the proposed use, ask what supports that step. A narrow or inconclusive local result should narrow the claim rather than settle questions about the instrument. Treat an individual score as actionable only when the employer explains an evidence chain. The publication’s Work Pattern Report supports private, low-stakes reflection on work patterns. It has no selection score or hiring validation, so it cannot support an employer’s selection decision.

Sources: Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures; Designing an Assessment Strategy

Questions readers ask