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Subjects Method The unit of analysis was colleges. Eleven of the lU2 institutions were eliminated because data on all of the predictors could not be obtained. This reduced the number of colleges analyzed to 91. College Measures College Selectivity. College selectivity was defined as a measure which captured the prestige of the university as reflected by the talent of the students attracted and accepted to the college. To measure college selectivity, the average scores of the entering freshman classon . standardized tests (the Scholastic Aptitude Test (SAT) and the American College Test (ACT)) were recorded. In addition, the selection ratio of the college (i.e., percentage of applicants accepted) was computeo. Educational Environment. Educational environment measures reflecteti academic experiences provided by the university. Measures were percentage of graduate students, ratio of students to faculty, percentage of full-time faculty with PhDs, number of volumes in the library, and yearly dollar value of endowments. Procedure The sources of data for the college selectivity and educational environment predictors were various published documents reporting suct~ statistics (e.g., American Council on Education, 1983, 1987; The College Blue Book, 1987; Lehman, 1966; National Center for Educational Statistics, 1987). Data used as criteria reflected the unique contribution of the 41 colleges to the prediction of OTS cadet performance. l'hese values were the regression weights (b-weights) for the college membership binary variables from the "best" model in the analytic phase. Analysis Regression analyses were used to explore the relative contribution ot‘ the two classes of college charactristics in accounting for the college effect observed for the seven OTS performance measures. Two models, in which the b-weights for colleges were regressed on both college selectivity and educational environment measures (Model 1) and on college selectivity measures alone (Model 2), were analyzed. These models were designed to test the hypothesis that the variation in expected performance level observed for graduates of different colleges was due to college selectivity or the taletlt of the student body, not to the educational environment. The predictor seis included binary and product vectors for the SAT and ACT variables in order to account for the schools (N = 51) which reported only one test score, either SAT or ACT. The predictive accuracy of the two models was compared tising t!ie P statistic (p 4.01). If the models differed significantly for a criterion, stepwise regression analyses 'were also accomplished to identify the most salient indicators among the available educational environment measures. .% backward elimination method was used to determine which. educational environment measures improved predictability (p
College Selectivity Versus Educational Environment As shown in Table 2, the multiple correlations (K) for the college selectivity and educational environment measures in combination (&ode1 1) ranged from .45 to .66. The highest relationships (R = .60 or greater) were obtained for the Final Course Grade, CWT 2, and 11th week OTEK performance criteria, and the lowest relationships for the CWT 1 and CWT 5 criteria. The two classes of college characteristic predictors accounted for about 20x to 40% of the variance (R2) in expected performance due to college attended. Table 2. Regression Analysis Results for College Characteristics College Se1 & Academic Envir College Se1 OTS Performance Model 1 Model 2 _ Criteria R RL K KL Final Course Grade 26 4 .42 .62 .3t5 .Y> CWTl .21 .42 .17 7' J CWT 2 .66 .43 .b3 .40 1:;ti cwr 3 .51 .25 .46 .21 .c14 CWT 4 .57 .32 .53 .16 .';l;j cwr 5 .45 .20 .44 .2lJ . .LtJ OTER 11th Week .6O .jb .47 .22 3 . ly*"' ** p
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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
Page 313 and 314: REFERENCES Laabz., G. ~1.) &‘< Be
Page 315 and 316: Similarly, a number of vocational i
Page 318 and 319: tool wi th which tu begin acquaint
Page 320 and 321: PREDICTING PERFORMANCE WITR BIODATA
Page 322: analysis. For biodata items in whic
Page 325 and 326: Table 6 presents the results of the
Page 327 and 328: surveyed job incumbent is requested
Page 329 and 330: overall predictive efficiency, (i.e
Page 331 and 332: anged from 62% (908X0) to 89% (112X
Page 333 and 334: THE SURVEY INSTRUMENT The SKT Task
Page 335 and 336: C. Clusterine of Factor Profiles vs
Page 337 and 338: DJSCUSSION unit weighting at the E-
Page 339 and 340: The ODCSPER directed that a Physica
Page 341 and 342: Factor 1, For purposes of this pape
Page 343 and 344: Discussion Certain characteristics
Page 345 and 346: Instruments -.~--..-~---.- --... ._
Page 347 and 348: Overall, the results replicate the
Page 349 and 350: REFERENCES Hanson, M.A., Hallam, G.
Page 351 and 352: Sub jects---Twen ty medical researc
Page 353 and 354: In the second study, the response r
Page 355 and 356: SUBJECTIVE STATES QUESTIONNAIRE: PE
Page 357 and 358: each item on the SSQ was read to th
Page 359 and 360: I4 BI k3 ; 2 BASELINE WALK 1 FIG. 2
Page 361 and 362: Validity of Grade Point Average: Do
Page 363: elationships. The highest correlati
Page 367 and 368: Introduction Flight Psychological S
Page 369 and 370: 1) Demonstration Phase The control
Page 371 and 372: published in the “Wehtpsychologis
Page 373 and 374: Introduction Leadership in Aptitude
Page 375 and 376: A further objective was to produce
Page 377 and 378: his group, to insist on a short che
Page 379 and 380: ehavior will be invalid. This condi
Page 381 and 382: In the fire fighting system prevent
Page 383 and 384: . . . -.-- -.-I to their decision-m
Page 385 and 386: In the Federal Armed Forces, this c
Page 387 and 388: Evaluation of the counseling nroced
Page 389 and 390: TABLE 2. Ranking, Weighting, and Sc
Page 391 and 392: . EJectronlcs KnowledQg (Table A-3)
Page 393 and 394: 3. Further test the TAE approach on
Page 395 and 396: * PC.05 * * pc.01. *** pc.001. Corr
Page 397 and 398: Table 1 Subjects MOS Enlisted Job N
Page 399 and 400: Table 3 Proportion of Criterion Var
Page 401 and 402: some ASVAB and Project A predictors
Page 403 and 404: the higher-scoring examinees will a
Page 405 and 406: Table 2 Correlation Coefficients of
Page 407 and 408: -~ . -______ -__--..- REFERENCES La
Page 409 and 410: REFERENCES Lawshe, C. H. (1975). A
Page 411 and 412: ubjects in each analysis may differ
Page 413 and 414: -.- -. -.-- -. 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
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THE USE OF INCENTIVES IN LIGHT INFA
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%5 (+ 40- ‘-J 3 o- Lt) 2 o- 1 3-
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otation, and 6) general job motivat
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COHESION IN CONTEXT Guy L. Siebold
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een used in prior research and thus
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-_._____ __ _.._^.._ _.. _.^ _-- wa
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EVALUATION OF THE ARMY’S FINANCE
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The three critical issues were form
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. operational capability was valida
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(c) Take-home package observations
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Figure 1. . INHIBITORS OF INITIATIV
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STARTING A TQM PROGRAM IN AN R&D OR
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are used to examine the processes a
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Management must listen, but also le
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32nd Conference of the Miiitarv Tes
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e. Ceployability research On severa
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--- --- We estimate that 25% of all
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e. Furthermore, I have been c:omman
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Acceptance of Change An Empirical T
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supervisor-subordinate relations, m
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I_- __-- ____-._ -.- -- -.. .-.----
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TWEEDDALE, J. W. (Chair), Chief of
Page 501 and 502:
____ _.... ___----- .._._ - ___.I.-
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i I I Scholarship: Quality of learn
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--- -_ ------__ -_-._-_--.-_.--- -_
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I were dcrivcd lo optimally prcdicl
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2. While the academically oriented
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Accordingly, the NROTC selection in
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the behavioral statements for guidi
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- .__ the new interview is criterio
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iors, these items are more likely t
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Comuarison with “Honest” Sample
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Conclusions The final experimental
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THE INVESTIGATIVE INTERVIEW> A REVI
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7B---.-- -- rapport with the subjec
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staff concluded that inclusion of t
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Backaround Each of the military ser
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Empirical Scorinq Key Prescreening
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The base rate for applicants who re
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installations were visited to obtai
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Obstacles in Maintainina an Effecti
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Installation security managers also
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The goal for the CVAL system was to
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Based on the feedback received from
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(1) The keynote in interpreting the
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NAVY ': HANDS-ON AND KNOWLEDGE TEST
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The general knowledge test consiste
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I Table 4 Correlations Between Writ
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1 Interrater Reliability as an Indi
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might influence task performance. T
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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
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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
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Jack R. Dempsey Human Resources Res
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c _.. -. _ ..-___ Mr. G. J. (Jeff)
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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
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Abrahams, N. M., 486 Albert, W, G.,
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