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Psychometrics 101: Foundational Knowledge for Testing Professionals

Psychometrics 101: Foundational Knowledge for Testing Professionals. Steve Saladin, Ph.D. University of Idaho. Criterion-referenced vs norm-referenced. Is performance rated on some pre-established cut points or is it based on comparisons with others

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Psychometrics 101: Foundational Knowledge for Testing Professionals

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  1. Psychometrics 101: Foundational Knowledge for Testing Professionals Steve Saladin, Ph.D. University of Idaho

  2. Criterion-referenced vs norm-referenced • Is performance rated on some pre-established cut points or is it based on comparisons with others • Class room grading is generally criterion based • 90% right=A, 80%=B, 70%=C, etc. • Typically reported as a percentage correct or P/F • Grading on the curve means grade based on comparison with rest of class (norm-referenced) • 80% might be a B, an A, a C or something else.

  3. Criterion-referenced vs norm-referenced • Standardized tests are typically norm-referenced • SAT, ACT, GRE, IQtest • Typically reported as percentile or standard score • Certification exams are often criterion-referenced • Proctor certification, licensing exams • Typically reported as percentage correct or P/F • Sometimes you get a mix • GED uses norms to establish cut-scores • Important to note difference between percentile and percentage correct

  4. Damn the Statistics & full speed ahead! • Testing is all about quantifying something about people (skills, knowledge, behavior, etc.) • Stats are just a way to describe the numbers • Make it more understandable • Reveal relationships • To understand norm-referenced test scores, you need to know two general things • What is the typical score? • To what degree did others score differently?

  5. What’s typical? 10 10 20 20 30 30 40 40 40 40 50 • Mean • Median • Mode = arithmetic average = 30 = # in the middle = 30 = most frequently occurring # = 40 How different are the scores? • Range = highest – lowest = 40 • Variance = average of squared differences from mean = 163.6 • Standard Deviation = square root of Variance = 12.8

  6. Standard Normal Distribution • Normal Curve • Assumes trait is normally distributed in population Mean Standard deviation

  7. The Normal Curve %tile <1% 2.5% 16% 50% 84% 97.5% 99.5% GRE 200 300 400 500 600 700 800 SAT 200 300 400 500 600 700 800 IQ 55 70 85 100 115 130 145 ACT 1 6 12 18 24 30 36

  8. How are these things related? • GRE scores and Grad School grades • CLEP scores and final exam scores • Compass/Accuplacer scores and success in entry classes • Motivation and cheating • Correlation tells us if things vary or change in a related way • Higher GRE scores means higher grades • Lower motivation suggests higher levels of cheating

  9. Some Facts About Correlation • Ranges from +1.0 to -1.0 • Sign tells you direction of correlation • + as A gets bigger so does B • - as A gets bigger, B gets smaller

  10. How To Lie With Statistics! • Test Taking linked to Longevity!A recent study found that people who had taken more tests during early adulthood tended to live longer. The number of tests taken between the ages of 16 and 30 correlated strongly with the age of death. The more tests you take, the longer you will live!

  11. Some Facts About Correlation • It is not causation, but can be used to predict • Small samples may miss relationship • Heterogeneous samples may miss relationship 0.42 0.87 0.78

  12. Error, Error Everywhere • No test is perfect, no measurement is perfect ________ • Get more precise, but never get exact • Score = Truth + Error

  13. Error, Error Everywhere • Error can be lots of things including • The environment • The test-taker • Procedural variations • The test itself • Since error makes scores inconsistent or unreliable, a measure of reliability of scores is important

  14. Reliability • Test-Retest • Test group on two different occasions and correlate the results • Are results stable over time • Internal Consistency • Correlate score on each item to total • Are they all measuring the same thing • Alternate Forms • Develop two versions of same test and correlate scores on each • Are your versions comparable • All correlations so subject to same problems

  15. So what’s good? • GRE has reported reliability of 0.89 (Quantitative), 0.92 (Verbal) • GRE Guide to Use of Scores, 2007-2008 • ACT Technical Manual reports Composite score reliability of .97 • SAT reports reliabilities of .89-.93 • Test Caharacteristics of the SAT on http://professionals.collegeboard.com/data-reports-research/sat/data-tables • COMPASS alternate forms reliability reported to be .73-.90 • http://www.nationalcommissiononadultliteracy.org/content/assessmentmellard.pdf

  16. Reliability & Error • Can’t totally get rid of Error, but can estimate how much is there • Using reliability you can estimate how much a persons score would vary due to error. • Standard Error of the Measurement • SEM =SD * • an index of the extent to which an individual’s scores vary over multiple administrations • gives the range within which the true score is likely to exist

  17. SEM for some tests • GRE Verbal .34, Quantitative .51, so 68% confidence interval for score of 500 is 470-530 for Verbal, 450-550 for Quantitative • Only reported in increments of 10 • GRE Guide to Use of Scores, 2007-2008 • ACT Composite SEM .91, so 68% confidence interval for score of 20 is 19-21 • ACT Technical Manual • WAIS-IV FSIQ SEM is 2.16, so 68 % confidence interval for score of 100 is 98-102

  18. Does Reliability = Validity? • Getting a consistent result means reliability • Having that result be meaningful is validity • Validity is based on inferences you make from results • Test has to be reliable to be valid • Test does not have to be valid to be reliable NO !

  19. Validity • Any evidence that a test measures what it says it is measuring • Any evidence that inferences made from the test are useful and meaningful • 3 types of evidence • Content • Criterion-Related • Construct

  20. Content Validity • Think of a test as a sample of possible problems/items • 4th grade spelling test should be a representative sample of 4th grade spelling words • GRE Quantitative should be a representative sample of the math problems a grad school applicant might be expected to solve • Should be part of design • Identifying # of algebra, trig, calculus, etc. should be on test (table of specifications) • Frequently evaluated by item analysis or expert opinions

  21. Criterion-Related Validity • How does test score correlate with some external measure (criterion) • Placement test score and performance in class • Admission test score and GPA for first semester • Sometimes called Predictive or Concurrent Validity • Correlation that is effected by error in the test and error in the criterion • Only top students take GRE • Graduate School grade restriction

  22. To use or not to use…. • Depends on the question…. • What is impact of decision? • What is cost of using? Of not using? • Decision Theory can be a guide to determining incremental validity • Net gain in using scores

  23. Decision Theory Maximize success A B C GPA 200 400 600 800 GRE score

  24. Decision Theory Maximize opportunity A B C GPA 200 400 600 800 GRE score

  25. Predictive Utility • Effectiveness = True Positive + True Negative True Pos+FalsePos+TrueNeg+FalseNeg Have to weigh effectiveness against cost

  26. Construct Validity • Most important for psychological test where what you are measuring is abstract or theoretical • Intelligence • Personality characteristics • Attitudes and beliefs • Usually involves multiple pieces of evidence

  27. Construct Validity • Convergent—correlates with measures of same thing • Divergent—does not correlate with measures of something else • Scores show expected changes after treatment, education, maturation, etc. • Factor analysis supports expected factor structure

  28. Things to remember • The normal curve • Correlation • Reliability • Standard Error of the Measurement • Validity • Decision Theory

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