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Lee, Silvia Wen-Yu; Luan, Hui; Lee, Min-Hsien; Chang, Hsin-Yi; Liang, Jyh-Chong; Lee, Yuan-Hsuan; Lin, Tzung-Jin; Wu, An-Hsuan; Chiu, Ying-Ju; Tsai, Chin-Chung – Science Education, 2021
Promoting understanding of the epistemologies of science has long been the primary objective in science education, and can be viewed as a form of science learning outcome. Many studies have attempted to understand learners' conceptions of epistemology in science from various perspectives and methods; however, no recent reviews have focused on the…
Descriptors: Epistemology, Scientific Literacy, Science Education, Measurement
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Pardos, Zachary A.; Dadu, Anant – Journal of Educational Data Mining, 2018
We introduce a model which combines principles from psychometric and connectionist paradigms to allow direct Q-matrix refinement via backpropagation. We call this model dAFM, based on augmentation of the original Additive Factors Model (AFM), whose calculations and constraints we show can be exactly replicated within the framework of neural…
Descriptors: Q Methodology, Psychometrics, Models, Knowledge Level
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Zehner, Fabian; Eichmann, Beate; Deribo, Tobias; Harrison, Scott; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – Journal of Educational Data Mining, 2021
The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…
Descriptors: National Competency Tests, Engineering Education, Data Collection, Data Analysis
Gibson, David; Clarke-Midura, Jody – International Association for Development of the Information Society, 2013
The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…
Descriptors: Psychometrics, Educational Games, Educational Research, Data Collection
Cresswell, John; Schwantner, Ursula; Waters, Charlotte – OECD Publishing, 2015
This report reviews the major international and regional large-scale educational assessments, including international surveys, school-based surveys and household-based surveys. The report compares and contrasts the cognitive and contextual data collection instruments and implementation methods used by the different assessments in order to identify…
Descriptors: International Assessment, Educational Assessment, Data Collection, Comparative Analysis
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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education
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Lucas-Carrasco, Ramona; Eser, Erhan; Hao, Yuantao; McPherson, Kathryn M.; Green, Ann; Kullmann, Lajos – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
This paper describes the development of a Quality of Care and Support (QOCS) scale for use with adult persons with physical and intellectual disabilities. In the pilot phase of the study, 12 centers from around the world carried out focus groups with people with physical and disabilities, their carers, and with professionals in order to identify…
Descriptors: Mental Retardation, Focus Groups, Measures (Individuals), Psychometrics
Mislevy, Robert J.; Wilson, Mark R.; Ercikan, Kadriye; Chudowsky, Naomi – 2002
In educational assessment, what students say, do, and sometimes make is observed, and assessors attempt to infer what students know, can do, or have accomplished more generally. Some links in the chain of inference depend on statistical models and probability-based reasoning, and it is with these links that terms such as validity, reliability, and…
Descriptors: Data Analysis, Data Collection, Educational Assessment, Inferences
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Nadeau, Luc; Richard, Jean-Francois; Godbout, Paul – Physical Education and Sport Pedagogy, 2008
Background: Coaches and physical educators must obtain valid data relating to the contribution of each of their players in order to assess their level of performance in team sport competition. This information must also be collected and used in real game situations to be more valid. Developed initially for a physical education class context, the…
Descriptors: Physical Education, Team Sports, Observation, Performance Based Assessment
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Patterson, G. R. – Child Development, 1974
Describes procedures for identifying stimuli in the natural environment whose presence was associated with altered probabilities for both the initiation and persistence of noxious responses. (Author/SDH)
Descriptors: Aggression, Data Analysis, Data Collection, Environment
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Cliff, Norman; And Others – Applied Psychological Measurement, 1988
A method for ordering persons and items when all responses are ordinal was developed and applied to several sets of questionnaire data (from undergraduates) and one set of archeological data. The method provides a possible nonparametric treatment of data usually treated by more traditional psychometric methods. (SLD)
Descriptors: Archaeology, Data Analysis, Data Collection, Higher Education
HUSEK, T.R.; SIROTNIK, KEN – 1967
A DESCRIPTION IS GIVEN OF ITEM SAMPLING, OR "PSYCHOMETRIC-STATISTICAL INFERENCE," AN APPROACH TO GATHERING AND USING EDUCATIONAL DATA THAT ALLOWS STATISTICAL INFERENCES TO BE MADE SIMULTANEOUSLY WITH PSYCHOMETRIC INFERENCES. THIS IS A PROCEDURE IN WHICH BOTH PEOPLE AND ITEMS ARE SAMPLED AND THE DATA FROM A SAMPLE OF PEOPLE TAKING A SAMPLE OF ITEMS…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
LaBelle, Thomas; And Others – 1979
This 1978 report advises concerned persons and agencies of the nature and extent of plans developed by Juarez and Associates to use qualitative data in the evaluation of the Head Start Bilingual Bicultural Curriculum Development Project. Contractual responsibilities, multimethod data collection strategies, objectives and procedures are described.…
Descriptors: Bilingual Education, Curriculum Evaluation, Data Analysis, Data Collection
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McElhoe, Dennis L.; Kamberelis, George; Peters, Jerry L. – Qualitative Report, 2006
This study was undertaken to determine whether an evaluation model employing multiple methods of data collection and analysis might yield more useful information for improving lifelong learning courses than existing models. Major findings included: (1) learning satisfaction appears to be dependent on the instructional environment adults may be…
Descriptors: Research Methodology, Lifelong Learning, Noncredit Courses, Evaluation Methods
Ingels, Steven J.; And Others – 1994
Technical aspects of the first followup survey for the National Education Longitudinal Study of 1988 (NELS:88) are documented and summarized. Some information overlaps materials in the users' manuals for this followup, such as the overview and general descriptions of data collection, sampling, weighting, variance estimation, nonresponse patterns,…
Descriptors: Data Analysis, Data Collection, Data Processing, Eligibility
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