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Lane, David; Oswald, Frederick L. – Educational Measurement: Issues and Practice, 2016
The educational literature, the popular press, and educated laypeople have all echoed a conclusion from the book "Academically Adrift" by Richard Arum and Josipa Roksa (which has now become received wisdom), namely, that 45% of college students showed no significant gains in critical thinking skills. Similar results were reported by…
Descriptors: College Students, Critical Thinking, Thinking Skills, Statistical Analysis
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Culbertson, Michael J. – Regional Educational Laboratory Central, 2016
States in the Regional Educational Laboratory (REL) Central region serve a largely rural population with many states enrolling fewer than 350,000 students. A common challenge identified among REL Central educators is identifying appropriate methods for analyzing data with small samples of students. In particular, members of the REL Central…
Descriptors: Student Development, Sample Size, Academic Achievement, Scores
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O'Donnell, Shannon; Tavares, Francisco; McMaster, Daniel; Chambers, Samuel; Driller, Matthew – Measurement in Physical Education and Exercise Science, 2018
The current study aimed to assess the validity and test-retest reliability of a linear position transducer when compared to a force plate through a counter-movement jump in female participants. Twenty-seven female recreational athletes (19 ± 2 years) performed three counter-movement jumps simultaneously using the linear position transducer and…
Descriptors: Test Validity, Test Reliability, Females, Athletes
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Wudthayagorn, Jirada – LEARN Journal: Language Education and Acquisition Research Network, 2018
The purpose of this study was to map the Chulalongkorn University Test of English Proficiency, or the CU-TEP, to the Common European Framework of Reference (CEFR) by employing a standard setting methodology. Thirteen experts judged 120 items of the CU-TEP using the Yes/No Angoff technique. The experts decided whether or not a borderline student at…
Descriptors: Guidelines, Rating Scales, English (Second Language), Language Tests
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
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Budgett, Stephanie; Rose, Drusilla – Statistics Education Research Journal, 2017
Statistical information pervades everyday life in the twenty-first century. Research shows, however, that the skills needed to be able to understand and critically evaluate statistical information must be specifically taught. In 2013, an externally assessed National Certificate in Educational Achievement standard in statistical literacy was…
Descriptors: Foreign Countries, Statistics, Mathematical Literacy, Learning Processes
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Lombard, Wayne; Reid, Sorrel; Pearson, Keagan; Lambert, Michael – Measurement in Physical Education and Exercise Science, 2017
The counter-movement jump is a consequence of maximal force, rate of force developed, and neuromuscular coordination. Thus, the counter-movement jump has been used to monitor various training adaptations. However, the smallest detectable difference of counter-movement jump metrics has yet to be established. The objective of the present study was…
Descriptors: Athletics, Psychomotor Skills, Biomechanics, Human Body
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Balkin, Richard S. – Measurement and Evaluation in Counseling and Development, 2017
An overview of standards related to demonstrating evidence regarding relationships with criteria as it pertains to instrument development was presented, along with heuristic examples. Additional measures and a comprehensive design are necessary to establish evidence related to the use and interpretation of test scores for the validation of a…
Descriptors: Evidence, Academic Standards, Test Construction, Evaluation Criteria
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Westrick, Paul A. – Educational Assessment, 2017
Undergraduate grade point average (GPA) is a commonly employed measure in educational research, serving as a criterion or as a predictor depending on the research question. Over the decades, researchers have used a variety of reliability coefficients to estimate the reliability of undergraduate GPA, which suggests that there has been no consensus…
Descriptors: Undergraduate Students, Test Reliability, College Entrance Examinations, Longitudinal Studies
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Gweon, Gahgene; Jun, Soojin; Finger, Susan; Rosé, Carolyn Penstein – International Journal of Technology and Design Education, 2017
In project-based learning (PBL) courses, which are common in design and technology education, instructors regard both the process and the final product to be important. However, conducting an accurate assessment for process feedback is not an easy task because instructors of PBL courses often have to make judgments based on a limited view of group…
Descriptors: Active Learning, Student Projects, Engineering Education, Instructional Design
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Lee, Yi-Hsuan; Zhang, Jinming – International Journal of Testing, 2017
Simulations were conducted to examine the effect of differential item functioning (DIF) on measurement consequences such as total scores, item response theory (IRT) ability estimates, and test reliability in terms of the ratio of true-score variance to observed-score variance and the standard error of estimation for the IRT ability parameter. The…
Descriptors: Test Bias, Test Reliability, Performance, Scores
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Shukla, Kathan D.; Waasdorp, Tracy E.; Lindstrom Johnson, Sarah; Orozco Solis, Mercedes Gabriela; Nguyen, Amanda J.; Rodríguez, Cecilia Colunga; Bradshaw, Catherine P. – Journal of Psychoeducational Assessment, 2019
School climate is an important construct for guiding violence prevention efforts in U.S. schools, but there has been less consideration of this concept in its neighboring country Mexico, which has a higher prevalence of violence. The U.S. Department of Education outlined a three-domain conceptualization of school climate (i.e., safe and supportive…
Descriptors: Educational Environment, Violence, Factor Analysis, Error of Measurement
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DeMars, Christine – Applied Measurement in Education, 2015
In generalizability theory studies in large-scale testing contexts, sometimes a facet is very sparsely crossed with the object of measurement. For example, when assessments are scored by human raters, it may not be practical to have every rater score all students. Sometimes the scoring is systematically designed such that the raters are…
Descriptors: Educational Assessment, Measurement, Data, Generalizability Theory
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Green, Samuel B.; Thompson, Marilyn S.; Levy, Roy; Lo, Wen-Juo – Educational and Psychological Measurement, 2015
Traditional parallel analysis (T-PA) estimates the number of factors by sequentially comparing sample eigenvalues with eigenvalues for randomly generated data. Revised parallel analysis (R-PA) sequentially compares the "k"th eigenvalue for sample data to the "k"th eigenvalue for generated data sets, conditioned on"k"-…
Descriptors: Factor Analysis, Error of Measurement, Accuracy, Hypothesis Testing
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Chin, Mark; Goldhaber, Dan – Society for Research on Educational Effectiveness, 2015
Over the past decade, states and districts have updated teacher evaluation systems in response to federal incentives, such as waivers to No Child Left Behind and grants from Race to the Top. The use of multiple measures, however, raises an important issue for policymakers and practitioners: to what extent should different measures of a teacher's…
Descriptors: Teacher Effectiveness, Correlation, Teacher Evaluation, Value Added Models
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