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Job Analysis

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Levels of MeasurementThe Scientific Method in PsychologyEmployee RecruitmentHuman Factors and Ergonomics+6 more
job-analysis KSAOs task-analysis work-analysis

Core Idea

Job analysis is the systematic process of collecting information about a job's tasks, responsibilities, required knowledge, skills, abilities, and other characteristics (KSAOs). It serves as the foundation for virtually every I-O psychology function — from personnel selection and performance appraisal to training design and compensation. Without a rigorous job analysis, organizations risk building HR systems that are legally indefensible and practically ineffective because they are not grounded in what the job actually requires.

Explainer

Job analysis is where I-O psychology meets the actual work. Before you can select the right people, train them effectively, or evaluate their performance fairly, you need to know what the job is — not in vague terms, but with the specificity required to build measurement systems around it. Job analysis provides that specificity by systematically documenting what workers do and what they need to know and be able to do.

The field distinguishes two broad approaches. Task-oriented job analysis focuses on the work itself: what tasks are performed, how frequently, how critically, and under what conditions. Functional Job Analysis (FJA), developed by Sidney Fine, is a classic task-oriented method that rates each task on its complexity with respect to data, people, and things. Worker-oriented job analysis, by contrast, focuses on the human attributes required: cognitive abilities, physical capabilities, personality characteristics, and specialized knowledge. The Position Analysis Questionnaire (PAQ), developed by McCormick, is the best-known worker-oriented instrument, rating jobs on 194 standardized elements. Most practitioners combine both approaches because selection and training require knowing both what the job demands and what the person needs to bring.

The methods for collecting job analysis data include interviews with incumbents and supervisors, direct observation, structured questionnaires, work diaries, and analysis of existing documentation. Each has tradeoffs. Interviews are flexible and can capture nuance, but incumbents may inflate the importance or difficulty of their work. Observation captures behavior directly but is impractical for jobs with long task cycles or rare critical incidents. Questionnaires enable large-sample data collection but flatten context. Best practice is to triangulate across multiple methods and multiple sources (incumbents, supervisors, sometimes customers) to build a robust picture.

Job analysis carries significant legal weight. In the United States, the Uniform Guidelines on Employee Selection Procedures (1978) require that selection procedures be shown to be job-related and consistent with business necessity. The primary way to establish job-relatedness is through a job analysis that links selection criteria to actual job requirements. Courts have repeatedly ruled against employers whose selection systems lacked a documented job analysis foundation. This legal dimension makes job analysis not just scientifically important but practically indispensable for any organization that wants its HR practices to withstand scrutiny.

A growing challenge is that jobs are changing faster than traditional job analyses can keep up. The rise of team-based work, rapidly evolving technology, and fluid role boundaries has led some researchers to advocate for broader "work analysis" or competency modeling approaches that focus on transferable competencies rather than static task lists. While these newer approaches sacrifice some specificity, they may be more durable in environments where job content shifts frequently. The tension between specificity and durability is an active area of research in the field.

Practice Questions 4 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Making 10 as an Addition StrategyAddition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts Through 10Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersLength ComparisonMeasuring Length with Non-Standard UnitsMeasuring Length With a RulerMeasuring with Feet and MetersEstimating LengthsLine Plots with Measurement DataOrganizing and Representing DataCreating Tally ChartsCreating and Reading Picture GraphsScaled Bar GraphsMean, Median, and ModeMeasures of SpreadLevels of MeasurementJob Analysis

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