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Meng, Lingqi; Qiu, Chen; Boyd-Wilson, Belinda – British Journal of Educational Technology, 2019
The present study investigated the factor structure of and measurement invariance in the information and communication technology (ICT) engagement construct, and the relationship between ICT engagement and students' performance on science, mathematics and reading in China and Germany. Samples were derived from the Programme for International…
Descriptors: Factor Structure, Information Technology, Error of Measurement, Science Achievement
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van Kernebeek, Willem G.; de Schipper, Antoine W.; Savelsbergh, Geert J. P.; Toussaint, Huub M. – Measurement in Physical Education and Exercise Science, 2018
In The Netherlands, the 4-Skills Scan is an instrument for physical education teachers to assess gross motor skills of elementary school children. Little is known about its reliability. Therefore, in this study the test-retest and inter-rater reliability was determined. Respectively, 624 and 557 Dutch 6- to 12-year-old children were analyzed for…
Descriptors: Foreign Countries, Interrater Reliability, Pretests Posttests, Psychomotor Skills
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Cheek, Kim A. – Research in Science Education, 2017
Ideas about temporal (and spatial) scale impact students' understanding across science disciplines. Learners have difficulty comprehending the long time periods associated with natural processes because they have no referent for the magnitudes involved. When people have a good "feel" for quantity, they estimate cardinal number magnitude…
Descriptors: Foreign Countries, Scientific Concepts, Science Education, Spatial Ability
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Dogan, C. Deha – Eurasian Journal of Educational Research, 2017
Background: Most of the studies in academic journals use p values to represent statistical significance. However, this is not a good indicator of practical significance. Although confidence intervals provide information about the precision of point estimation, they are, unfortunately, rarely used. The infrequent use of confidence intervals might…
Descriptors: Sampling, Statistical Inference, Periodicals, Intervals
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Hidalgo, Ma Dolores; Benítez, Isabel; Padilla, Jose-Luis; Gómez-Benito, Juana – Sociological Methods & Research, 2017
The growing use of scales in survey questionnaires warrants the need to address how does polytomous differential item functioning (DIF) affect observed scale score comparisons. The aim of this study is to investigate the impact of DIF on the type I error and effect size of the independent samples t-test on the observed total scale scores. A…
Descriptors: Test Items, Test Bias, Item Response Theory, Surveys
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Lee, Woo-yeol; Cho, Sun-Joo – Journal of Educational Measurement, 2017
Cross-level invariance in a multilevel item response model can be investigated by testing whether the within-level item discriminations are equal to the between-level item discriminations. Testing the cross-level invariance assumption is important to understand constructs in multilevel data. However, in most multilevel item response model…
Descriptors: Test Items, Item Response Theory, Item Analysis, Simulation
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Gordon, Sheldon P.; Yang, Yajun – International Journal of Mathematical Education in Science and Technology, 2017
This article takes a closer look at the problem of approximating the exponential and logarithmic functions using polynomials. Either as an alternative to or a precursor to Taylor polynomial approximations at the precalculus level, interpolating polynomials are considered. A measure of error is given and the behaviour of the error function is…
Descriptors: Mathematical Formulas, Algebra, Mathematics Activities, Error of Measurement
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Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Cimpian, Joseph R. – Journal of Research on Educational Effectiveness, 2017
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Intervention, Quasiexperimental Design, Simulation
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Van Norman, Ethan R.; Christ, Theodore J.; Newell, Kirsten W. – School Psychology Review, 2017
Research regarding the technical adequacy of growth estimates from curriculum-based measurement of reading progress monitoring data suggests that current decision-making frameworks are likely to yield inaccurate recommendations unless data are collected for extensive periods of time. Instances where data may not need to be collected for long…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Goal Orientation, Decision Making
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Bardhoshi, Gerta; Erford, Bradley T. – Measurement and Evaluation in Counseling and Development, 2017
Precision is a key facet of test development, with score reliability determined primarily according to the types of error one wants to approximate and demonstrate. This article identifies and discusses several primary forms of reliability estimation: internal consistency (i.e., split-half, KR-20, a), test-retest, alternate forms, interscorer, and…
Descriptors: Scores, Test Reliability, Accuracy, Pretests Posttests
Liu, Jin; Guo, Siying; Gao, Ruiqin; DiStefano, Christine – School Psychology International, 2020
The Pediatric Symptom Checklist-17 was originally used in primary care settings with parents to identify their children's behavioral and emotional problems, but there has been some research supporting use of this scale in school settings. This study examined: (a) the factor structure and measurement invariance of the teacher-rated Pediatric…
Descriptors: Symptoms (Individual Disorders), Check Lists, Factor Structure, Error of Measurement
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Shang, Yi; VanIwaarden, Adam; Betebenner, Damian W. – Educational Measurement: Issues and Practice, 2015
In this study, we examined the impact of covariate measurement error (ME) on the estimation of quantile regression and student growth percentiles (SGPs), and find that SGPs tend to be overestimated among students with higher prior achievement and underestimated among those with lower prior achievement, a problem we describe as ME endogeneity in…
Descriptors: Error of Measurement, Regression (Statistics), Achievement Gains, Students
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McCaffrey, Daniel F.; Castellano, Katherine E.; Lockwood, J. R. – Educational Measurement: Issues and Practice, 2015
Student growth percentiles (SGPs) express students' current observed scores as percentile ranks in the distribution of scores among students with the same prior-year scores. A common concern about SGPs at the student level, and mean or median SGPs (MGPs) at the aggregate level, is potential bias due to test measurement error (ME). Shang,…
Descriptors: Error of Measurement, Accuracy, Achievement Gains, Students
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Padilla-Walker, Laura Maria; Jensen, Lene Arnett – International Journal of Behavioral Development, 2016
Moral psychology has been moving toward consideration of multiple kinds of moral concepts and values, such as the Ethics of Autonomy, Community, and Divinity. While these three ethics have commonly been measured qualitatively, the current study sought to validate the long and short forms of the Ethical Values Assessment (EVA), which is a…
Descriptors: Ethics, Questionnaires, Error of Measurement, Moral Values
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Longford, Nicholas Tibor – Journal of Educational and Behavioral Statistics, 2016
We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decision-theoretical framework, incorporating the consequences (ramifications) of the various kinds of error that…
Descriptors: Decision Making, Classification, Guidelines, Undergraduate Students
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