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Peer reviewedGottfredson, Linda S. – Journal of Vocational Behavior, 1988
Argues on basis of research on importance of "g" (intelligence) factor and racial differences in "g" that many valid, unbiased tests can be expected to produce high levels of adverse impact when used in race-neutral manner, especially in high-level jobs. Argues that unrealistic expectation regarding racial parity often leads employers to adopt…
Descriptors: Employment Practices, Evaluation Criteria, Intelligence Tests, Personnel Selection
Peer reviewedSchrag, Francis – American Journal of Education, 1989
Values inevitably enter educational inquiry, but they do not undermine the possibility of objectivity. Theoretical frameworks, even those that carry particular values, may be legitimately employed to explain educational phenomena. Mainstream research is systematically biased. (Author/BJV)
Descriptors: Bias, Educational Research, Educational Theories, Experimenter Characteristics
Peer reviewedHinkle, J. Scott – Measurement and Evaluation in Counseling and Development, 1994
Presents a cross-cultural perspective for testing practitioners. Discusses practical cross-cultural assessment issues, including test unfairness or bias. Offers solutions to testing issues regarding diverse populations. Includes 80 citations. (Author/CRR)
Descriptors: Counselor Training, Cultural Differences, Cultural Pluralism, Evaluation
Peer reviewedGustafsson, Jan-Eric; Holmberg, Lena M. – Scandinavian Journal of Educational Research, 1992
To determine whether or not there are systematic differences in the psychometric properties of items in the vocabulary test of the Swedish Scholastic Aptitude Test, data from test administrations from 1984 through 1988 (over 50,000 students) were analyzed. The systematic relationships between word characteristics and psychometric properties are…
Descriptors: Adults, College Entrance Examinations, Foreign Countries, Higher Education
Taylor, Ronald L.; Richards, Stephen B. – Diagnostique, 1991
A factor analysis was conducted for a sample of 200 white and Hispanic children (ages 6-11) using the Wechsler Intelligence Scale for Children-Revised. Results indicated that the two-factor solution was similar for the two groups, but there were notable differences for the three-factor solution, relative measures of "g," and subtest…
Descriptors: Elementary Education, Factor Analysis, Hispanic Americans, Intelligence Tests
Ford, Donna Y.; Harris, J. John, III – Gifted Child Today (GCT), 1990
This article examines barriers to recognition of and assistance for gifted and talented Black students. Rationales for reexamining current theories and definitions are discussed and arguments made for broadening theories of giftedness to better include Black students. Suggestions are made for change and a list of considerations for educators…
Descriptors: Black Education, Black Students, Elementary Secondary Education, Gifted
Peer reviewedGreenlaw, Paul S.; Jensen, Sanne S. – Public Personnel Management, 1996
Analyzes the practice of race norming (adapting test scores on the basis of race/ethnicity) and its justification. Outlines the background of the Civil Rights Act of 1991, which prohibited race norming, and considers future implications for recruitment and selection. (SK)
Descriptors: Aptitude Tests, Equal Opportunities (Jobs), Ethnicity, Federal Legislation
Peer reviewedGarmon, Lance C.; And Others – Merrill-Palmer Quarterly, 1996
Assessed the moral judgments of 543 subjects, ages 9 to 81 years, to evaluate Gilligan's (1982; Brown, Tappan, and Gilligan 1995) claims that Kohlberg's moral judgment stage is biased against females. Found no support for Gilligan's claim of stage bias, but some support for claim of gender-related moral-oriented differences. (HTH)
Descriptors: Adults, Children, Moral Values, Older Adults
Paek, Insu; Young, Michael J. – Applied Measurement in Education, 2005
When the item response theory (IRT) model uses the marginal maximum likelihood estimation, person parameters are usually treated as random parameters following a certain distribution as a prior distribution to estimate the structural parameters in the model. For example, both PARSCALE (Muraki & Bock, 1999) and BILOG 3 (Mislevy & Bock,…
Descriptors: Item Response Theory, Test Items, Maximum Likelihood Statistics, Test Bias
Allen, Nancy L.; Holland, Paul W.; Thayer, Dorothy T. – Journal of Educational Measurement, 2005
Allowing students to choose the question(s) that they will answer from among several possible alternatives is often viewed as a mechanism for increasing fairness in certain types of assessments. The fairness of optional topic choice is not a universally accepted fact, however, and various studies have been done to assess this question. We examine…
Descriptors: Test Theory, Test Items, Student Evaluation, Evaluation Methods
Enders, Craig K. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The Bollen-Stine bootstrap can be used to correct for standard error and fit statistic bias that occurs in structural equation modeling (SEM) applications due to nonnormal data. The purpose of this article is to demonstrate the use of a custom SAS macro program that can be used to implement the Bollen-Stine bootstrap with existing SEM software.…
Descriptors: Computer Software, Structural Equation Models, Statistical Analysis, Goodness of Fit
Gierl, Mark J. – Educational Measurement: Issues and Practice, 2005
In this paper I describe and illustrate the Roussos-Stout (1996) multidimensionality-based DIF analysis paradigm, with emphasis on its implication for the selection of a matching and studied subtest for DIF analyses. Standard DIF practice encourages an exploratory search for matching subtest items based on purely statistical criteria, such as a…
Descriptors: Models, Test Items, Test Bias, Statistical Analysis
Popham, W. James – Educational Leadership, 2004
Many U.S. educators now wonder whether they're teachers or targets. This mentality stems from the specter of their school being sanctioned for failing the state accountability tests mandated under No Child Left Behind (NCLB). According to this author, most of those tests are like blunt-edged swords: They function badly in two directions. While…
Descriptors: Federal Legislation, Accountability, High Stakes Tests, School Effectiveness
Wang, Wen-Chung; Su, Ya-Hui – Applied Measurement in Education, 2004
In this study we investigated the effects of the average signed area (ASA) between the item characteristic curves of the reference and focal groups and three test purification procedures on the uniform differential item functioning (DIF) detection via the Mantel-Haenszel (M-H) method through Monte Carlo simulations. The results showed that ASA,…
Descriptors: Test Bias, Student Evaluation, Evaluation Methods, Test Items
van der Sluis, Sophie; Posthuma, Danielle; Dolan, Conor V.; de Geus, Eco J. C.; Colom, Roberto; Boomsma, Dorret I. – Intelligence, 2006
Using multi-group covariance and means structure analysis (MG-CMSA), this study investigated whether sex differences were present on the Dutch WAIS-III, and if so, whether these sex differences were attributable to differences in general intelligence ("g"). The sample consisted of 294 females and 228 males between 18 and 46 years old.…
Descriptors: Gender Differences, Foreign Countries, Cognitive Ability, Intelligence

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