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I__. - International Military Testing Association

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EJectronlcs KnowledQg (Table A-3). Hypothesis 3. Students with higher academic school final scores<br />

will score hi her on the TAE test than students with lower scores. The correlation between academic school<br />

final scores aover<br />

course final score) and TAE test scores is significant at the .05 level. However, the correlation<br />

between academic school comprehensive scores (final test) and TAE test scores is positiie but not<br />

significant. Therefore, academic school final scores were significantly correlated with TAE test scores, but<br />

school comprehensive scores were not.<br />

Hypothesis 4. Students wfth higher academic school subsystem test scores will score higher on the TAE<br />

subsystem tests (episodes) than students with lower school subsystem test scores. For Subsystem 1, the<br />

correlation of academic school subsystem test scores with TAE subsystem test scores is significant at the .05<br />

level. Subsystem 2 has a positive correlation, which is not significant. Both Subsystems 3 and 4 have negative<br />

correlations, which are not significant. Therefore, the only significant correlation between academic school<br />

subsystem test scores and TAE subsystem test scores was for Subsystem 1 (the computer).<br />

Hypothesis 5. Students with higher appropriate Armed Services Vocational Aptitude Battery (ASVAB)<br />

scores for Electronics Technician selection in general science, electronics information, mathematics<br />

knowledge, arithmeticreasonin (jGS + El + MK] +AR), and the armed forces qualification test (AFQT), will<br />

score higher on the TAE test ta an subjects with lower ASVAB and selection scores. All but one of the<br />

correlations is negative. The only significant correlation between ASVAB scores and TAE score is Arithmetic<br />

Reasoning (AR) with a negative correlation significant at the .05 level. The only positive correlation is between<br />

General Science (GS) and TAE score, which was not significant.<br />

There was no generally consistent relationship between electronics knowledge and TAE performance.<br />

There was a relationship where performance testing was a component of the academic score used. There<br />

was, however, a negative relationship between the scores used to determine selection to the occupational<br />

speciality (electronic technician) and performance scores.<br />

The lack of relationships of electronic theory or academics and troubleshooting performance need further<br />

investigation. As with a number of other studies of this type, there was no consistent relationship between<br />

knowledge of theory and the ability to perform. This may have been related to the method of determining<br />

knowledge and academic success in the school. <strong>Testing</strong> in the school does not appear to rovide<br />

discriminatory capability and correlational analyses do not show statistically significant results. tchools<br />

should ensure tests discriminate between student’s academic and performance ability and assess student<br />

behaviors in a more structured, formalized, objective way. Otherwise, effects of a change to instructional<br />

methods or techniques cannot be assessed in terms of course outcomes. FurtherTAE testing might determine<br />

the resulting relationships.<br />

Also, the relationships of selection requirements and troubleshooting performance need further<br />

investigation. Of greatest interest is the failure of performance results to positively relate to the ASVAB scores<br />

used to select personnel for this occupational speciality. The consistent negative trend seems to indicate<br />

that, while the ASVAB tests may relate to academic performance, there may be no relationship between<br />

ASVABs, TAE performance, and/or on-the-job performance.<br />

.<br />

etfwce Profa<br />

. .<br />

7 Fable A-4). Hypothesis 6. Subjects with a higher level of<br />

troubleshooting proficiency will make ewer invalid checks than less proficient subjects. The correlation<br />

between TAE score and the number of invalid checks is not significant.<br />

Hypothesis 7. Subjects with a higher level of troubleshooting proficiency will make fewer illogical<br />

approaches than less proficient subjects. The correlation between TAE score and the number of illogical<br />

approaches is significant at the .Ol level.<br />

Hypothesis 8. Subjects with a higher level of troubleshooting proficiency will make fewer incorrect<br />

solutions than less proficient subjects. The correlation between the TAE score and the number of incorrect<br />

solutions is significant at the ,001 level.<br />

Hypothesis 9. Sub’ects with a higher level of troubleshooting proficiency will make fewer redundant checks<br />

than less proficient sub jects. The correlation between TAE score and the number of redundant checks is not<br />

significant.<br />

Hypothesis 10. Subjects with a hi her level of troubleshooting roficiency will test significantly more proof<br />

ooints than less oroficient subjects. 7 he correlation between the f-AE score and the number of proof points<br />

js significant at the .OOl level. .<br />

Hypothesis 11. Subjects with a higher level of troubleshooting proficiency will make significantly fewer<br />

tests than less proficient subjects. The correlation between the level of troubleshooting proficiency and<br />

number of tests is significant at the .OOl level.<br />

The only proficiency factors that failed to show significance were invalid and redundant checks, which<br />

could have been caused by design of the delivery system and/or the method of determining these factors.<br />

This set of hypotheses strongly support the validity of the TAE technique and approach.<br />

The utility of the TAE as a job performance measure and as an objective measure of readiness in the skill<br />

area addressed (in this case, system troubleshooting) should be investigated further.<br />

. .<br />

DIfflcultv (Table A-45 . Hypothesis 12. The more difficult the episodes, the longer the average time<br />

needed to find the solution. ihe<br />

correlation of TAE difficulty with length of time to find the solution is significant<br />

at the .OOl level.<br />

Hypothesis 13. On episcdes of equal difficulty, subjects with a higher level of troubleshooting proficiency<br />

will take significantly less time than less proficient subjects in finding the solution. Episode difficult levels<br />

were determined and episodes were grouped with level 1 being the easiest and level 5 the most di fricult as<br />

375<br />

_ .

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