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Showing 1 to 15 of 359 results
Peer reviewed
Direct linkSegev, Elad; Cahan, Sorel – Assessment in Education: Principles, Policy & Practice, 2014
Selection to programmes for gifted students in Israel, performed in the second grade, relies on raw ability and achievement test scores, irrespective of age, thereby ignoring the well-known effect of within-grade age differences on test scores. Employing the entire cohort of third graders of legal age (67,366 students, 1.4% of whom were enrolled…
Descriptors: Foreign Countries, Age Differences, Academically Gifted, Special Education
Soh, Kaycheng – Studies in Higher Education, 2014
Universitas 21 Ranking of National Higher Education Systems (U21 Ranking) is one of the three new ranking systems appearing in 2012. In contrast with the other systems, U21 Ranking uses countries as the unit of analysis. It has several features which lend it with greater trustworthiness, but it also shared some methodological issues with the other…
Descriptors: Colleges, Rating Scales, Reputation, Weighted Scores
Peterson, Robin L.; Pennington, Bruce F.; Olson, Richard K.; Wadsworth, Sally J. – Scientific Studies of Reading, 2014
Limited evidence supports the external validity of the distinction between developmental phonological and surface dyslexia. We previously identified children ages 8 to 13 meeting criteria for these subtypes (Peterson, Pennington, & Olson, 2013) and now report on their reading and related skills approximately 5 years later. Longitudinal…
Descriptors: Dyslexia, Developmental Disabilities, Phonology, Adolescents
Cholemkery, Hannah; Mojica, Laura; Rohrmann, Sonja; Gensthaler, Angelika; Freitag, Christine M. – Journal of Autism and Developmental Disorders, 2014
Autism spectrum disorder (ASD) as well as social phobia (SP), and selective mutism (SM) are characterised by impaired social interaction. We assessed the validity of the Social Responsiveness Scale (SRS) to differentiate between ASD, and SP/SM. Raw scores were compared in 6-18 year old individuals with ASD (N = 60), SP (N = 38), SM (N = 43), and…
Descriptors: Autism, Pervasive Developmental Disorders, Anxiety, Interpersonal Competence
Sullivan, Jeremy R.; Winter, Suzanne M.; Sass, Daniel A.; Svenkerud, Nicole – Journal of Research in Childhood Education, 2014
Many tests provide users with several different types of scores to facilitate interpretation and description of students' performance. Common examples include raw scores, age- and grade-equivalent scores, and standard scores. However, when used within the context of assessing growth among young children, these scores should not be…
Descriptors: Young Children, Child Development, Scores, Raw Scores
Theobald, Roddy; Freeman, Scott – CBE - Life Sciences Education, 2014
Although researchers in undergraduate science, technology, engineering, and mathematics education are currently using several methods to analyze learning gains from pre- and posttest data, the most commonly used approaches have significant shortcomings. Chief among these is the inability to distinguish whether differences in learning gains are due…
Descriptors: Undergraduate Students, STEM Education, Student Characteristics, Educational Research
Mylonas, Kostas; Furnham, Adrian; Divale, William; Leblebici, Cigdem; Gondim, Sonia; Moniz, Angela; Grad, Hector; Alvaro, Jose Luis; Cretu, Romeo Zeno; Filus, Ania; Boski, Pawel – Educational and Psychological Measurement, 2014
Several sources of bias can plague research data and individual assessment. When cultural groups are considered, across or even within countries, it is essential that the constructs assessed and evaluated are as free as possible from any source of bias and specifically from bias caused due to culturally specific characteristics. Employing the…
Descriptors: Test Bias, Measures (Individuals), Unemployment, Adults
von Davier, Matthias; González B., Jorge; von Davier, Alina A. – Journal of Educational Measurement, 2013
Local equating (LE) is based on Lord's criterion of equity. It defines a family of true transformations that aim at the ideal of equitable equating. van der Linden (this issue) offers a detailed discussion of common issues in observed-score equating relative to this local approach. By assuming an underlying item response theory model, one of…
Descriptors: Equated Scores, Transformations (Mathematics), Item Response Theory, Raw Scores
Hus, Vanessa; Bishop, Somer; Gotham, Katherine; Huerta, Marisela; Lord, Catherine – Journal of Child Psychology and Psychiatry, 2013
Background: The Social Responsiveness Scale (SRS) is a parent-completed screening questionnaire often used to measure autism spectrum disorders (ASD) severity. Although child characteristics are known to influence scores from other ASD-symptom measures, as well as parent-questionnaires more
broadly, there has been limited consideration of how…
Descriptors: Scores, Symptoms (Individual Disorders), Parent Attitudes, Questionnaires
Kinnunen, Suna; Korkman, Marit; Laasonen, Marja; Lahti-Nuuttila, Pekka – Journal of Cognition and Development, 2013
This study focuses on the development of face recognition in typically developing preschool- and school-aged children (aged 5 to 15 years old, "n" = 611, 336 girls). Social predictors include sex differences and own-sex bias. At younger ages, the development of face recognition was rapid and became more gradual as the age increased up…
Descriptors: Recognition (Psychology), Human Body, Cognitive Processes, Preschool Children
Bohr, Adam D.; Brown, Dale D.; Laurson, Kelly R.; Smith, Peter J. K.; Bass, Ronald W. – Journal of School Health, 2013
Background: Research on physical fitness often regards socioeconomic status (SES) as a confounding factor. However, few studies investigate the impact of SES on fitness. This study investigated the impact of SES on physical fitness in both males and females, with an economic-based construct of SES. Methods: The sample consisted of 954 6th, 7th,…
Descriptors: Junior High School Students, Physical Fitness, Socioeconomic Status, Public Schools
Almehrizi, Rashid S. – Applied Psychological Measurement, 2013
The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…
Descriptors: Raw Scores, Scaling, Reliability, Computation
Beauducel, Andre; Leue, Anja – Practical Assessment, Research & Evaluation, 2013
In several studies unit-weighted sum scales based on the unweighted sum of items are derived from the pattern of salient loadings in confirmatory factor analysis. The problem of this procedure is that the unit-weighted sum scales imply a model other than the initially tested confirmatory factor model. In consequence, it remains generally unknown…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Personality Measures
Caporino, Nicole E.; Brodman, Douglas M.; Kendall, Philip C.; Albano, Anne Marie; Sherrill, Joel; Piacentini, John; Sakolsky, Dara; Birmaher, Boris; Compton, Scott N.; Ginsburg, Golda; Rynn, Moira; McCracken, James; Gosch, Elizabeth; Keeton, Courtney; March, John; Walkup, John T. – Journal of the American Academy of Child & Adolescent Psychiatry, 2013
Objective: To determine optimal Pediatric Anxiety Rating Scale (PARS) percent reduction and raw score cut-offs for predicting treatment response and remission among children and adolescents with anxiety disorders. Method: Data were from a subset of youth (N = 438; 7-17 years of age) who participated in the Child/Adolescent Anxiety Multimodal Study…
Descriptors: Rating Scales, Anxiety Disorders, Raw Scores, Child Health
Bendinelli, Anthony J.; Marder, M. – Physical Review Special Topics - Physics Education Research, 2012
We use visualization to find patterns in educational data. We represent student scores from high-stakes exams as flow vectors in fluids, define two types of streamlines and trajectories, and show that differences between streamlines and trajectories are due to regression to the mean. This issue is significant because it determines how quickly…
Descriptors: Visual Aids, Longitudinal Studies, Test Results, Data Analysis
