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Single-Criterion Predictor Composite GPA, GPA, Table 2 Cross-Validity Coefficients for Single-Criterion and QI-89 Composites GPA - Criteria NSG TECH .289 .122 .237 .138, .304 -.oo I .228 --- APT, .219 .137 .230 .I08 Aflb .220 .073 .193 --- NSG, .220 .I18 .291 .12l, NSG, .227 .009 .286 --- TECH, .102 .036 .137 .430, TECH, .I23 .056 .063 --- ______________-__--_----------------- ________________________________________-------------------------------------------------------------- QI-89. .282 .I26 .246 .131, QI-89, 296 .Oll .238 --- a as a subscript denotes rhe 1983-1986 hold-out sample @ = 2,305). b as a subscript denotes the 1987 hold-out sample (I’J = 652). c as a subscript dcnotcs Lhc 1983-1986 rcduccd hold-out sample @ = 1,313) wilh a valid TECH score. The cocfficicnts oblaincd on Ihe second cross-validation sample arc shown directly under the bold-faccd cross-validilics. Across all four single-criterion composites, the cross-validilics obtained on the 1987 sample varied litllc from l.hosc ob@ined on the 1983-1986 sample when GPA and NSG were predicted. All of the composiWs prcdictcd GPA slightly bcWr in the 1987 sample and NSG slightly bcUer in the 1983-1986 sample. Somewhat larger differe.nces wcrc found when predicting APT, The GPA, APT, and NSG composites predicted APT bcltcr in the 1983-1986 sample than in tie 1987 sample. The cross-validities for Ihe two samples were both near .OO when the’ TECH-derived composite was used to predict APT. Inspection of the correlations between APT and several highly-weighted predictors (i.e., HSR, SATM, and SATV) rcvealcd that diffcrcnccs in zero-order validities for the two samples appcarcd to account for the subscqucnt diffcrcnces in predictive abilily for lhcsc composites. QI-89. The bottom portion of Table 2 contains cross-validity coefficients for QI-89. In gcncral, the crossvalidity coefricicnts obtained with Ihc QI-89 showed little shrinkage from those obtained when each singlccriterion predictor composile was used to predict itself. The one exception occurred when TECH was the. criterion. This finding is logical because CNET assigned a relatively small importance rating to TECH when it was combined with the other three criteria. Although the QI-89 was only marginally useful for prcdicling APT and TECH, it retained a moderate level of predictive ability when used to predict GPA and NSG. Predicting Technical Maiors As shown in Figure 1, Lhosc midshipmen in the upper 20% on the ES scale were more than twice as likely to choose technical majors than those in Ihe lower 20%. To use the table, an individual’s ES score is locntccl in tic table, and Lhc likelihood of that individual sclccling a technical final major can bc determined. An adjunct. table for estimating ES was used (rather than incorporating ES into the optimally wcightcd selection composilc) so as lo avoid eliminating applicants with outstanding crcdcntials who might not rcccive NROTC scholarships if their intcrcsls tcndcd toward non-technical fields of study. Conclusions 1. Although ES is dcrivcd from an instrument (i.c., Strong-Campbell Interest Inventory) that is susccptiblc 10 distortion, results showed that ES can significantly incrcasc the proportion of technical majors. 490 - -
2. While the academically oriented criteria (Le., GPA and NSG) are predicted reasonably well, there is room for improvement for the military-performance criterion (APT). 121 andatum 114thu 120 707 thfu 113 98UtnrlO6 97andMow Figure 1 Expected Percentages of Midshipmen Selecting Technical Majors Next% Next 20% Mattson: i.D., Neumann, I., & Abrahams, N.M. (1986). Development of a revised comoosite for NROTC selection (NPRDC TN 87-7). San Diego: Navy Personnel Research and Development Center. Neumann, I., & Abrahams. N.M. (1978a). Construction and validation of a Strong Carn~bell Interest Inventory career tenure scale for use in selectinn NROTC midshipmen (NPRDC Letter Rep.). San Diego: Navy Personnel Research and Development Center. Neumann, I., & Abmhams, N.M. (1978b). Identification of NROTC apulicants with engineerinn and science interests (NPRDC Tech. Rep. 78-31). San Diego: Navy Personnel Research and Development Center. Owens-Kurtz, C.K., Borman, W.C., Gialluca, K.A., Abraham% N.M., & Mattson, J.D. (1989). Refinement of the ,Navq, Reserve Officer Training Corns (NROTC) scholarship selection composite (NPRDC Tech. Note TN 90-I). San Diego: Navy Personnel Research and Development Center. 491
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32nd ANNUAL CONFERENCE OF THE MILIT
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32nd Annual Conferenae of the Milit
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Registration (Continued) RMC M, McK
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TABLE OF CONTENTS 1990 CONFERENCE C
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305. 306. 307. 308. 309 * 310. 311.
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418. Not Presented. 419. HANSON, Ma
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502. Not Presented. 503. COLLINS, D
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804A. 804B. ao4c. 804D. 805. DOYLE,
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'I'li~; CANADIAN RESERVES: CURRENT
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of ‘;llC 1; e f-;
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easons, followed by social reasons
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Training to support these programs
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USAREC commanders in the field take
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lost; but asking for more quality,
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Background ETHNIC PARTKCIPATION IN
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Tahte 1 The Ten Largest Ethnic Grou
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or 25.6% of foreign horns, :Jero ac
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1990 ARMY CAREER SATISFACTION SURVE
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clashes, etc.). It may be that the
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espondents were so concerned about
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The Use of Artificial Neural Networ
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where: A = (A,, . . . . A,) , B = (
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In attempting to relate ASP score t
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Hispanics in Navy’s Blue-Collar C
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34.81 33.60 34.00 12.60 12.54 12.28
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Work-g;rouD comoosition. The averag
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1 . INTRODKTICi? DESCRIPTORS OF JOB
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c:- TORc OF JOB SPEr:aON RAm ON JOS
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2.1.5.4. Pcrcelitage of Persons Rxe
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----- DESCRIPTORS OF JOE SPECIALIZA
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coum? I 1.1 TIME SPECIALI7,TION, CO
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DESCRIPTORS OF JOR SPECIEJ,IZATIaN
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I ? 3 4 5 n 96 96 96 96 67 49 19 II
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ADDRESSING THE ISSUES OF “QUANTIT
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abilities for test development (Stu
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atings for the incumbents given in
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Psycholoqical Bulletin, 70(61, 534-
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quantitative comparison of the sort
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administrative occupations. The lea
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SUMMARY This exploratory study was
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--- These job descriptions were pri
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Table 2 below illustrates the degre
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However, the degree of agreement ob
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Tosunmmrize, informationgeneratedfr
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Change IIf If 1: 1; 0 tl t2 t3 t4 t
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Recammenaations Werecxararrendthat~
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The ORDB was designed and continues
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qualified resources to support cont
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acquisition. ASD/ALH made extensive
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A Suite of Advanced Interpretive As
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CORCAS - The CORCAS report characte
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Discussion The advanced analysis as
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From a technical point of view, the
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y attending schools, to meet the re
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Literature ------. .-- -.~---.. --
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organizational distribution of the
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in training cost savings, a reduced
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APPLICATION OF THE JOB ABILITY ASSE
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As already shown, rater reliability
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0 a 103 -t \~~.1~--l---1.1-~L-I I
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Table 1 Military Assignments in the
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Preference scores overall sample (N
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Region School’)North Center South
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Aptitude-Oriented Manpower Replacem
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The Psychologist’s Method of Prop
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Table 5: Study on Job Characteristi
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equired for an occupation (Ruck, 19
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For the weapon system design TDS ap
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knowledge-based model (equation 3)
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EVALUATION MODEL The evaluation sys
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and various other sources, we becam
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.--_-.-- .---- ----- -...- -._--_.-
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tally significant. Hotelling's T2 w
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able ancillary information which co
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and a contractor (Westinghouse) was
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‘A’ and what knowledge a typica
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Develop job oriented electricity th
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year career. Instead, CODAP provide
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2E 24 20 I@ 12 8 4 Figure 4 Mean Li
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using event history analysis, which
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increased student-instructor intera
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Exercise Performance Group II (inst
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etween CBT and research on teaching
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in baseline classes and 39 platoons
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--. ..____ s platoons. Team Chiefs,
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._ 50 - BASELINE TRAINING z . WEEK
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The scenario must be short, concise
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I PEACiTIME TAIKI I ,......_.,,....
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have involved complicated procedure
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I'd like to start with an brief ove
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~-~___-. -- ---- Brooks et al (1987
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BATTLE-TASIUBATTLEBOARD TRAINING AP
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4. Situational Awareness and the Mi
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examples then chaining the stages s
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I L THE PERSONNEL APPLIED RESEARCH
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Typically a commander's awareness o
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Table 1 Situational Awareness Items
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answers that precisely indicated th
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2. Identifying The Problem 2.1. Scr
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3.1.2. Problem Area: Handling Compl
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Analyzing User Interactions With In
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lesson templates. Intelligent lesso
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iteration of the evaluation study.
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MILITARY TWTING ASSOCIATION iYH) An
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DATA INPUT Two methods are provided
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10 WE 1ASI YlslRUc70n IS PROMPlED 1
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The linear model indicates that the
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Cost-Effectiveness of Home Study us
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- ---.. Eouinment, Procedure and Da
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Figure 1 shows the total course con
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(1) Determine criticality of the ob
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(4) Length of the material tested.
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(e) Average the total responses and
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-- ---. ----- --- --.._ _ .I-. I he
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On the POMS, two-way ANOVAs for rep
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Journal of Clinical Pharmacology, 2
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. Stressors An anal.ysis was made o
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. The Test After a short demonstrat
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then by the principle of transitivi
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the order they were obtained. FoLLo
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a regression equation can be create
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--__-. -. _ the Army’s near-term
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however, would be to determine whet
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Development of a New Language Aptit
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e preferable to group languages int
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Implementation of Content Validity
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Air Force enlisted specialties. The
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clear reference support and accepta
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Barbara Jezior U.S. Army Natick Res
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Figure 2’s scatterplot shows the
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---.---- ---._. -.. \ ASVAB, Descri
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tests in a paper-and-pencil mode; t
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Corps MOSS will include: Motor Tran
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ASSESSMENT OF APTITUDE REQUIREMENTS
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I AFI’ITUDE ASSESSMENT TOOLS FOR
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Currently. most personnel psycholog
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Sample METHOD The sample consisted
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Table 1 Correlation Matrix of Predi
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performance criteria. Classificatio
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Variables Criteria. Two measures of
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Psychometric Properties of NOAE! Pr
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predicts MARS III training success,
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One-hundred and eighty of the most
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Table 2 presents the intercorrelati
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lower) than those of soldiers who r
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For each administration, the tests
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Table IV cont. EM-46 13 Paygrade 1
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Discussion This study failed to sho
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afterwards. The purpose of the curr
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consuming the carbohydrate. This st
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REFERENCES Banderet, L. E., Lieberm
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Virtually all life experiences are
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verified can reduce faking (Schrade
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Glennon, J. R., Albright, L. E., &
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to develop materials to the best le
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considerable time preparing for the
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REFERENCES Laabz., G. ~1.) &‘< Be
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Similarly, a number of vocational i
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tool wi th which tu begin acquaint
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PREDICTING PERFORMANCE WITR BIODATA
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analysis. For biodata items in whic
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Table 6 presents the results of the
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surveyed job incumbent is requested
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overall predictive efficiency, (i.e
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anged from 62% (908X0) to 89% (112X
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THE SURVEY INSTRUMENT The SKT Task
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C. Clusterine of Factor Profiles vs
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DJSCUSSION unit weighting at the E-
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The ODCSPER directed that a Physica
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Factor 1, For purposes of this pape
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Discussion Certain characteristics
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Instruments -.~--..-~---.- --... ._
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Overall, the results replicate the
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REFERENCES Hanson, M.A., Hallam, G.
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Sub jects---Twen ty medical researc
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In the second study, the response r
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SUBJECTIVE STATES QUESTIONNAIRE: PE
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each item on the SSQ was read to th
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I4 BI k3 ; 2 BASELINE WALK 1 FIG. 2
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Validity of Grade Point Average: Do
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elationships. The highest correlati
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College Selectivity Versus Educatio
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Introduction Flight Psychological S
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1) Demonstration Phase The control
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published in the “Wehtpsychologis
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Introduction Leadership in Aptitude
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A further objective was to produce
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his group, to insist on a short che
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ehavior will be invalid. This condi
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In the fire fighting system prevent
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. . . -.-- -.-I to their decision-m
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In the Federal Armed Forces, this c
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Evaluation of the counseling nroced
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TABLE 2. Ranking, Weighting, and Sc
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. EJectronlcs KnowledQg (Table A-3)
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3. Further test the TAE approach on
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* PC.05 * * pc.01. *** pc.001. Corr
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Table 1 Subjects MOS Enlisted Job N
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Table 3 Proportion of Criterion Var
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some ASVAB and Project A predictors
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the higher-scoring examinees will a
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Table 2 Correlation Coefficients of
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-~ . -______ -__--..- REFERENCES La
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REFERENCES Lawshe, C. H. (1975). A
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ubjects in each analysis may differ
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-.- -. -.-- -. The Minnelrota Multi
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the scales based on character of se
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school diploma graduates (10,6%, 14
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criterion.(-.09). Variabk? Table 2
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Laurence, J. H., & Gribben, M. A. (
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Subjects were al lowed to use the a
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-- I
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-~-- -___- - Subjects Sixteen soldi
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The effects of both altitude exposu
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___ .- _- .~- __--_.--~~ .--. --.-
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factors from both enemy and friendl
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Using those systems tasks which are
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'L'KADLNC; OE'k' PEKFOKMANCE, TKAlN
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PPOPORTI ON OF PEOPLE 04 .T.# - 90
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which is a check oE logical necessi
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FINAL REPORT, COMPUTER ASSISTED GUI
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___-. ----- ..~._ ~. ----~--..---.-
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As a further measure of the effecti
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5. Training is essential to the suc
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Post Selection Board Analysis Post-
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-- higher. The second approach was
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Figure 1. Lowest Break in Vertical
Page 457 and 458: THE USE OF INCENTIVES IN LIGHT INFA
Page 459 and 460: %5 (+ 40- ‘-J 3 o- Lt) 2 o- 1 3-
Page 461 and 462: otation, and 6) general job motivat
Page 463 and 464: COHESION IN CONTEXT Guy L. Siebold
Page 465 and 466: een used in prior research and thus
Page 467 and 468: -_._____ __ _.._^.._ _.. _.^ _-- wa
Page 469 and 470: EVALUATION OF THE ARMY’S FINANCE
Page 471 and 472: The three critical issues were form
Page 473 and 474: . operational capability was valida
Page 475 and 476: (c) Take-home package observations
Page 477 and 478: Figure 1. . INHIBITORS OF INITIATIV
Page 479 and 480: STARTING A TQM PROGRAM IN AN R&D OR
Page 481 and 482: are used to examine the processes a
Page 483 and 484: Management must listen, but also le
Page 485 and 486: 32nd Conference of the Miiitarv Tes
Page 487 and 488: e. Ceployability research On severa
Page 489 and 490: --- --- We estimate that 25% of all
Page 491 and 492: e. Furthermore, I have been c:omman
Page 493 and 494: Acceptance of Change An Empirical T
Page 495 and 496: supervisor-subordinate relations, m
Page 497 and 498: I_- __-- ____-._ -.- -- -.. .-.----
Page 499 and 500: TWEEDDALE, J. W. (Chair), Chief of
Page 501 and 502: ____ _.... ___----- .._._ - ___.I.-
Page 503 and 504: i I I Scholarship: Quality of learn
Page 505 and 506: --- -_ ------__ -_-._-_--.-_.--- -_
Page 507: I were dcrivcd lo optimally prcdicl
Page 511 and 512: Accordingly, the NROTC selection in
Page 513 and 514: the behavioral statements for guidi
Page 515 and 516: - .__ the new interview is criterio
Page 517 and 518: iors, these items are more likely t
Page 519 and 520: Comuarison with “Honest” Sample
Page 521 and 522: Conclusions The final experimental
Page 523 and 524: THE INVESTIGATIVE INTERVIEW> A REVI
Page 525 and 526: 7B---.-- -- rapport with the subjec
Page 527 and 528: staff concluded that inclusion of t
Page 529 and 530: Backaround Each of the military ser
Page 531 and 532: Empirical Scorinq Key Prescreening
Page 533 and 534: The base rate for applicants who re
Page 535 and 536: installations were visited to obtai
Page 537 and 538: Obstacles in Maintainina an Effecti
Page 539 and 540: Installation security managers also
Page 541 and 542: The goal for the CVAL system was to
Page 543 and 544: Based on the feedback received from
Page 545 and 546: (1) The keynote in interpreting the
Page 547 and 548: NAVY ': HANDS-ON AND KNOWLEDGE TEST
Page 549 and 550: The general knowledge test consiste
Page 551 and 552: I Table 4 Correlations Between Writ
Page 553 and 554: 1 Interrater Reliability as an Indi
Page 555 and 556: might influence task performance. T
Page 557 and 558: Figure 2 shows temporal effects at
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ARMY: JOB PERFORMANCE MEASURES FOR
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for MOS-specific tasks, as the perc
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Table 3 shows the intercorrelations
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The USAF Occupational Measurement S
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In addition to SKTs and PFEs, USAFO
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only for the first job, as well as
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The Examirler is a sopilisticated c
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The Examiner Multiple Choice Multip
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Paner and Pencil Testing The Examin
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The Exanliwr is ii sopllis[ic;l(etj
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(c) The Coast Guard will host the 1
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ORGANIZATION ROYAL WSTRALIAR AIR FO
Page 583 and 584:
ORGANIZATION 1990 REPRESENTATIVE RO
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ORGANIZATION NAVAL HILITARY PERSONN
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C. Non-Member Participants. 1. Non-
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committee members shall serve in th
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CDR Mary Adams Naval Education and
Page 593 and 594:
Jack R. Dempsey Human Resources Res
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c _.. -. _ ..-___ Mr. G. J. (Jeff)
Page 597 and 598:
Deborah L. McCormick Chief,of Naval
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COL Terry J. Procluk Director of Pe
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Paul P. Stanley.11 USAFOMC/OMD Rand
Page 603 and 604:
Abrahams, N. M., 486 Albert, W, G.,
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