Test Utility

Cards (31)

  • Test utility
    The usefulness or practical value of testing to improve efficiency
  • Factors that affect a test's utility
    • Psychometric soundness
    • Costs
    • Benefits
  • Psychometric soundness
    Refers to the reliability and validity of a test
  • Reliability
    Tells us something about how consistently a test measures what it measures
  • Validity
    Tells us something about the practical value of the information derived from scores on the test
  • Costs (in the context of test utility)
    Disadvantages, losses, or expenses in both economic and non-economic terms
  • Costs related to testing

    • Purchasing a particular test
    • Purchasing a supply of blank test protocols
    • Computerized test processing, scoring, and interpretation from the test publisher or some independent services
  • Other testing costs
    • Payment to professional personnel and staff associated with test administration, scoring and interpretation
    • Facility rental, mortgage, and/or other charges related to the usage of the test facility
    • Insurance, legal, accounting, licensing, and other routine costs of doing business
  • Non-economic costs
    Such as "loss of confidence" or costs in terms of loss
  • Benefits
    Profits, gains, or advantages, both economic and non-economic
  • Benefits of testing
    • Proper recruitment of personnel
    • Increase in quality performance of workers
    • Good work environment in admission programs
  • Utility analysis
    A family of techniques that entail a cost-benefit analysis designed to yield information relevant to a decision about the usefulness and/or practical value of a tool of assessment
  • Methods of utility analysis
    • Expectancy data
    • Taylor-Russel table
    • Naylor-Shine tables
    • Brogden-Cronbach-Gleser formula
    • Decision theory
  • Expectancy data
    Provides an indication of the likelihood that a test-taker will score within some interval of scores on a criterion measure
  • Taylor-Russel table
    Used to calculate the utility gain resulting from the use of a particular selection instrument under specified conditions
  • Naylor-Shine tables
    Used to calculate the dollar amount of a utility gain resulting from the use of a particular selection instrument under specified conditions
  • Utility gain
    An estimate of the benefit (monetary or otherwise) of using a particular test or selection method
  • Productivity gain
    An estimated increase in work output
  • Decision theory

    Provides guidelines for setting optimal cutoff scores
  • Factors considered in decision theory
    • Pool of job applicants
    • Complexity of the job
    • Cut scores in use
  • Cut score
    A reference point derived as a result of a judgement and used to divide a set of data into two or more classifications, with some action to be taken or some inference to be made on the basis of these classifications
  • Relative cut score
    A reference point in a distribution of test scores used to divide a set of data into two or more classifications that is set based on norm-related considerations rather than on the relationship of test scores to a criterion
  • Fixed cut score
    Typically set with reference to a judgement concerning a minimum level of proficiency required to be included in a particular classification
  • Multiple cut scores

    The use of two or more cut scores with reference to one predictor for the purpose of categorizing test takers
  • Multiple hurdle
    A cut score is in place for each predictor used, and the achievement of a particular cut score on one test is necessary in order to advance to the next stage of evaluation in the selection process
  • Angoff method
    Judgements of experts are averaged to yield cut scores for the test
  • Known groups method
    A cut score is set on the test that best discriminates the two groups' test performance
  • IRT-based methods
    Cut scores are typically set based on test takers' performance across all the items on the tests, with each item associated with a particular level of difficulty
  • Bookmark method
    Typically used in academic applications, where the bookmark serves as the cut score
  • Method of predictive yield
    A technique for setting cut scores which took into account the number of positions to be filled, projections regarding the likelihood of offer acceptance, and the distribution of applicant scores
  • Discriminant analysis
    Provides insight regarding the relationship between identified variables and two naturally occurring groups