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Automatic Generation of Verbal Analogy Items

Automatic Generation of Verbal Analogy Items. Alan D. Mead Illinois Institute of Technology. AIG in employment testing. Rise of unproctored Internet testing (UIT) UIT may cause many security problems One is item theft and coaching

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Automatic Generation of Verbal Analogy Items

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  1. Automatic Generation of Verbal Analogy Items Alan D. Mead Illinois Institute of Technology

  2. AIG in employment testing • Rise of unproctored Internet testing (UIT) • UIT may cause many security problems • One is item theft and coaching • Solution: Generate entire test from scratch for each examinee • Item theft less of a problem • Coaching less effective • Items could be “watermarked” • Also reduces cost and speeds deployment

  3. AIG in employment testing (cont.) • Need a variety of test content • Verbal analogies • Vocabulary • Math • Perceptual speed and accuracy • Spatial ability • Personality • Situational Judgment • Etc.

  4. Verbal Analogies Shovel:Dig::Fork • Buy • Cry • Eat • Stop Shovel:Dig • Bag:Buy • Baby:Cry • Fork:Eat • Car:Stop Pair responses Word Responses • Identify a “bridge”; you DIG with a SHOVEL • Find a matching answer; you EAT with a FORK

  5. Generating Verbal Analogies • Identified database of relationships (e.g., “RIDER operates a BIKE”) • Identified additional bridge relationships (“BOVINE means COW-like” & “ABSENT is the opposite of PRESENT”) • Gathered data on word frequency and (part of this study) word familiarity

  6. Generating Verbal Analogies (cont.) • Randomly select a bridge • Randomly select TWO pairs for this bridge (one for the stem, one for the key) • Randomly select 2-3 additional pairs from other bridges • Randomly assign key pair; fill in remaining pairs

  7. Sample Items 1. paternal:father:: ? a. juvenile:child b. microphone:sound c. chalk:writer d. unfold:fold 3. rocket:astronaut:: ? a. lamp:light b. stick:skating rink c. jet:pilot d. demand:supply

  8. Alternative format 1. paternal:father:: juvenile:? a. child b. sound c. writer d. fold 3. rocket:astronaut::jet:? a. light b. skating rink c. pilot d. supply

  9. Keys 1. paternal:father:: ? [Bridge: FATHER is described by PATERNAL] a. juvenile:child *** b. microphone:sound (unrelated: sound is a (typical) theme of microphone) c. chalk:writer (unrelated: writer is a (typical) agent of chalk) d. unfold:fold (unrelated: unfold and fold are opposites/opposed) 3. rocket:astronaut:: ? [Bridge: ASTRONAUT operates ROCKET] a. lamp:light (unrelated: lamp is a (typical) result of light) b. stick:skating_rink (unrelated: skating_rink is a (typical) location of stick) c. jet:pilot *** d. demand:supply (unrelated: supply and demand are opposites/opposed)

  10. Present Study • H1: Two forms of AIG analogies (word responses and pair responses) will have comparable reliability & validity • H2: AIG scales will have reliability comparable to manually-written scale • H3: AIG scales will have construct and criterion validity comparable to manually-written scale

  11. Method • Sample of N=251 gathered online and from psychology classes • Measures: • n=20 AIG & human-written verbal analogy scales • N=40 vocabulary • Self-reported performance at work & school

  12. Feasibility • Manually examined items for feasibility • 40/64 (63%) items were feasible • Reasons for infeasibility • Over-use of a bridge or a pair (some bridges have few pairs) • Ambiguous pairs (drum:drum?) • Foil inadvertently a correct key

  13. Results for H1 H1: Two forms of AIG analogies (word responses and pair responses) will have comparable reliability & validity CONFIRMED

  14. Results for H2 H2: AIG scales will have reliability comparable to manually-written scale NOT CONFIRMED because the AIG scales had better reliability

  15. Results for H3 H3: AIG scales will have construct and criterion validity comparable to manually-written scale CONFIRMED

  16. Predicting Item Difficulty

  17. Future Directions • Better handling of senses (DRUM is for DRUMMING) • Better difficulty calculations based on larger sample of items • Automated feasibility checking • Enhanced database of relationships • Choosing foils to have more semantic similarity to other words

  18. Thank you!mead@iit.edu

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