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Watkins, Marley W.; Canivez, Gary L. – Psychological Assessment, 2004
The Wechsler Intelligence Scale for Children--Third Edition (D. Wechsler, 1991; WISC-III) is often used to identify subtest-based cognitive strengths and weaknesses that are subsequently used to generate interventions. Given that intelligence is presumed to be an enduring trait, cognitive strengths and weaknesses identified via subtest analysis…
Descriptors: Intelligence, Intelligence Tests, Cognitive Ability, Children
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
Peer reviewedMcHenry, Bill; Griffith, Leonard; McHenry, Jim – T.H.E. Journal, 2004
Imagine administering an online standardized test to an entire class of 11th-grade students when, halfway through the exam, the server holding the test hits a snag and throws everyone offline. Imagine another scenario in which an elementary school has very few computers so teachers must bus their students to the local high school for a timed test.…
Descriptors: Computer Assisted Testing, Risk, Evaluation Methods, Federal Legislation
Peer reviewedKennedy, Peter E. – Journal of Economic Education, 2005
Getting a "wrong" sign in empirical work is a common phenomenon. Remarkably, econometrics textbooks provide very little information to practitioners on how this problem can arise. The author exposits a long list of ways in which a wrong sign can occur and how it might be corrected.
Descriptors: Economics, Economic Research, Research Methodology, Economic Impact
Cheung, Mike W.-L.; Au, Kevin – Structural Equation Modeling: A Multidisciplinary Journal, 2005
Multilevel structural equation modeling (MSEM) has been proposed as an extension to structural equation modeling for analyzing data with nested structure. We have begun to see a few applications in cross-cultural research in which MSEM fits well as the statistical model. However, given that cross-cultural studies can only afford collecting data…
Descriptors: Sample Size, Structural Equation Models, Cross Cultural Studies, Research Methodology
France, Derek; Ribchester, Chris – Journal of Geography in Higher Education, 2004
BSc Single Subject Geography students at University College Chester enrol for a core module that involves the acquisition of fieldwork data, data analysis and project design. One of this module's assessment exercises requires students to 'write up' a field-based research project as a functioning website. This paper explores the practicalities of…
Descriptors: Program Effectiveness, Data Analysis, Feedback, Internet
Gibbon, Fiona – Clinical Linguistics and Phonetics, 2004
Individuals with cleft palate, even those with adequate velopharyngeal function, are at high risk for disordered lingual articulation. This article attempts to summarize current knowledge of abnormal tongue-palate contact patterns derived from electropalatographic (EPG) data in speakers with cleft palate. These data, which have been reported in 23…
Descriptors: Articulation (Speech), Foreign Countries, Congenital Impairments, Children
Izevbigie, T. I.; Owie, Ikponmwosa – College Student Journal, 2006
The Personal Health Protective Practices of the out-of-school adolescent was investigated using a survey design. Three research questions were formulated and tested. The population consists of out-of-school adolescents in South-South Senatorial District of Nigeria. The sample consists of 320 adolescents randomly selected using purposive sampling…
Descriptors: Foreign Countries, Local Government, Hygiene, Data Analysis
Zhao, Chun-Mei; Luan, Jing – New Directions for Institutional Research, 2006
The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)
Descriptors: Statistics, Enrollment, Data Collection, Data Analysis
Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
Jackson, Jerlando F. L.; Phelps, L. Allen – New Directions for Community Colleges, 2004
This chapter compares the racial and ethnic diversity among faculty and academic leaders with that of the student population in two-year colleges. Using two national data sets, this study reveals that African American and Hispanic faculty and academic leaders remain underrepresented compared to the number of students of color attending the…
Descriptors: Community Colleges, College Faculty, Diversity (Faculty), Hispanic Americans
Young Terrence E., Jr. – Library Media Connection, 2005
Data that is meaningful and purposeful is collected to assess the state of our library media programs, services and policies. The way in which one can develop the skills required to collect, analyze, interpret, present, and use data is presented.
Descriptors: Media Specialists, School Libraries, Data Collection, Data Analysis
Askan, Nazan; Kockanska, Grazyna; Ortmann, Margaret R. – Developmental Psychology, 2006
The authors captured mother-child and father-child relationships when children were 7 and 15 months old by coding 4 explicitly dyadic components of mutually responsive orientation (MRO): coordinated routines, harmonious communication, mutual cooperation, and emotional ambiance. These components were coded in 102 families in naturalistic contexts…
Descriptors: Parent Child Relationship, Coding, Family Environment, Factor Analysis
A Cautionary Note on Using G[squared](dif) to Assess Relative Model Fit in Categorical Data Analysis
Maydeu-Olivares, Albert; Cai, Li – Multivariate Behavioral Research, 2006
The likelihood ratio test statistic G[squared](dif) is widely used for comparing the fit of nested models in categorical data analysis. In large samples, this statistic is distributed as a chi-square with degrees of freedom equal to the difference in degrees of freedom between the tested models, but only if the least restrictive model is correctly…
Descriptors: Goodness of Fit, Data Analysis, Simulation, Item Response Theory
Hughes, Frances R.; Kleist, David M. – Counselor Education and Supervision, 2005
This qualitative study explored 4 counselor education doctoral students' 1st-semester experience. Data analysis revealed students experienced vicissitudes of thought and emotion that varied from self-doubt to beliefs in their abilities, received information and made decisions about how to engage in their responsibilities, and felt affirmation of…
Descriptors: Counselor Training, Student Experience, Doctoral Programs, Graduate Students

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