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Hadd, Alexandria Ree; Rodgers, Joseph Lee – Developmental Psychology, 2017
The quality of the home environment, as a predictor, is related to health, education, and emotion outcomes. However, factors influencing the quality of the home environment, as an outcome, have been understudied--particularly how children construct their own environments. Further, most previous research on family processes and outcomes has…
Descriptors: Family Environment, Child Development, Family Income, Educational Attainment
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Coyle, Thomas R.; Purcell, Jason M.; Snyder, Anissa C.; Kochunov, Peter – Intelligence, 2013
This research examined whether non-"g" residuals of the SAT and ACT subtests, obtained after removing g, predicted specific abilities. Non-"g" residuals of the verbal and math subtests of the SAT and ACT were correlated with academic (verbal and math) and non-academic abilities (speed and shop), both based on the Armed Services…
Descriptors: Intelligence, College Entrance Examinations, Vocational Aptitude, Aptitude Tests
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Warne, Russell T.; Godwin, Lindsey R.; Smith, Kyle V. – Journal of Advanced Academics, 2013
Among some gifted education researchers, advocates, and practitioners, it is sometimes believed that there is a larger number of gifted people in the general population than would be predicted from a normal distribution (e.g., Gallagher, 2008; N. M. Robinson, Zigler, & Gallagher, 2000; Silverman, 1995, 2009), a belief that we termed the…
Descriptors: Gifted, Hypothesis Testing, Intelligence Quotient, Statistical Distributions
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Cochran, Daria B.; Wang, Eugene W.; Stevenson, Sarah J.; Johnson, Leah E.; Crews, Charles – Career Development Quarterly, 2011
The authors investigated the relationship between adolescent occupational aspirations and midlife career success. The model for adolescent occupational aspirations was derived from Gottfredson's (1981) theory of circumscription and compromise. The authors hypothesized that parental socioeconomic status (SES), ability, and gender predict adolescent…
Descriptors: Occupational Aspiration, Adolescents, Theories, Self Concept
Theokas, Christina – Education Trust, 2010
Many educators comfortably embrace the myth that the military will enlist any and all high school graduates who are interested. However, a new analysis from The Education Trust reports that too many of the nation's high school graduates have not been adequately prepared to serve in the U.S. Army. In "Shut Out of the Military," the…
Descriptors: Secondary Education, High School Graduates, Armed Forces, Vocational Aptitude
Baker, Harley E.; Styer, Jane S.; Harmon, Lenore; Pommerich, Mary – Online Submission, 2010
Developed for the Armed Services Vocational Aptitude Battery (ASVAB) Career Exploration Program, the Find Your Interests (FYI) inventory was designed to help students learn about their career-related interests. The FYI is a 90-item interest inventory based on Holland's (1973, 1985, 1997) widely accepted theory and taxonomy of career choice. The…
Descriptors: Interest Inventories, Career Choice, High School Students, Career Exploration
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Jordan, Jeremy D.; Curtis, Christopher – Journal of sTEm Teacher Education, 2010
The United States Air Force (USAF) provides career and technical education (CTE) to a wide variety of specialty career fields. Training airmen to carry out the mission while honoring the USAF core values of integrity first, service before self, and excellence in all we do is the top priority of military leaders and trainers. Vehicle maintenance is…
Descriptors: Vocational Education, Armed Forces, Military Training, Motor Vehicles
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Sandy, Jonathan; Duncan, Kevin – Education Economics, 2010
Data from the National Longitudinal Survey of Labor Market Experience for Youth (1997 cohort) are used to examine the urban school achievement gap. Specifically, we use the Blinder-Oaxaca technique to decompose differences in Armed Services Vocational Aptitude Battery scores for students who attended urban and suburban schools. We find that…
Descriptors: Achievement Gap, Scores, Aptitude Tests, Urban Schools
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Halpin, Peter F.; Maraun, Michael D. – Multivariate Behavioral Research, 2010
A method for selecting between K-dimensional linear factor models and (K + 1)-class latent profile models is proposed. In particular, it is shown that the conditional covariances of observed variables are constant under factor models but nonlinear functions of the conditioning variable under latent profile models. The performance of a convenient…
Descriptors: Models, Selection, Vocational Evaluation, Developmental Psychology
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Mazzotti, Valerie L.; Rowe, Dawn A.; Kelley, Kelly R.; Test, David W.; Fowler, Catherine H.; Kohler, Paula D.; Kortering, Larry J. – TEACHING Exceptional Children, 2009
Individualized education programs (IEPs) for students with disabilities ages 16 and older must include a transition component. It is important for educators to understand the role transition assessment plays in developing a thorough transition component that includes measurable postsecondary goals, annual IEP goals, transition services, and a…
Descriptors: Individualized Education Programs, Individualized Programs, Disabilities, Individualized Instruction
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Joshi, Prathibha V.; Beck, Kris A.; Nsiah, Christian – Community College Journal of Research and Practice, 2009
This study employed a probit model to examine determinants of U.S. college students' choice of attendance at two-year community colleges compared to a four-year college. The empirical work was based on the latest National Longitudinal Survey of Youth (NLSY97). The set of explanatory variables included academic performance, students' involvement in…
Descriptors: Community Colleges, College Students, Student Characteristics, Enrollment Influences
Paulk, J. Sara – Library Journal, 2009
Over the past year, libraries have made the national news owing to soaring public usage driven by tough economic times. Much of this increased traffic stems from patrons coming to their local branches to use resources that will help them improve their chances at employment. While some demand practical job-hunting and career materials to help them…
Descriptors: Information Needs, College Applicants, College Entrance Examinations, Aptitude Tests
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van der Linden, Wim J. – Applied Psychological Measurement, 2009
An adaptive testing method is presented that controls the speededness of a test using predictions of the test takers' response times on the candidate items in the pool. Two different types of predictions are investigated: posterior predictions given the actual response times on the items already administered and posterior predictions that use the…
Descriptors: Simulation, Adaptive Testing, Vocational Aptitude, Bayesian Statistics
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Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
Tian, Jian-quan; Miao, Dan-min; Zhu, Xia; Gong, Jing-jing – Online Submission, 2007
Computerized adaptive testing (CAT) has unsurpassable advantages over traditional testing. It has become the mainstream in large scale examinations in modern society. This paper gives a brief introduction to CAT including differences between traditional testing and CAT, the principles of CAT, psychometric theory and computer algorithms of CAT, the…
Descriptors: Foreign Countries, Psychometrics, Adaptive Testing, Computer Assisted Testing
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