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Battaglia, Onoforio Rosario; Di Paola, Benedetto; Fazio, Claudio – Physical Review Physics Education Research, 2019
A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means…
Descriptors: Correlation, Coding, Statistical Analysis, Questionnaires
Chernyavskaya, Yana S.; Kiselev, Sergey V.; Rassolov, Ilya M.; Kurushin, Viktor V.; Chernikova, Lyudmila I.; Faizova, Guzel R. – International Journal of Environmental and Science Education, 2016
The relevance of research: The relevance of the problem studied is caused by the acceleration of transition of the Russian economy on an innovative way of development, which depends on the vector of innovative sphere of services and, to a large extent, information and communication services, as well as it is caused by the poor drafting of…
Descriptors: Foreign Countries, Correlation, Cost Effectiveness, Factor Analysis
Ivrendi, Asiye – European Early Childhood Education Research Journal, 2016
Peer play provides ample opportunities for the use and development of self-regulatory and mathematical skills. This study aimed at examining whether children's engagement in solitary low-level play, interactive play and competent play influences their self-regulatory and number sense skills. The effect of demographic variables and children's…
Descriptors: Young Children, Kindergarten, Foreign Countries, Self Control
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Mendoza, Ray Padilla, Jr. – ProQuest LLC, 2012
Extracting and representing semantic information from large scale corpora is at the crux of computer-assisted knowledge generation. Semantic information depends on collocation extraction methods, mathematical models used to represent distributional information, and weighting functions which transform the space. This dissertation provides a…
Descriptors: Semantics, Computational Linguistics, Syntax, Phrase Structure
Arikan, Elif Esra; Ünal, Hasan – Educational Sciences: Theory and Practice, 2015
This study aims to examine the effect of multiple problem-solving skills on the problem-posing abilities of gifted and non-gifted students and to assess whether the possession of such skills can predict giftedness or affect problem-posing abilities. Participants' metaphorical images of problem posing were also explored. Participants were 20 gifted…
Descriptors: Problem Solving, Grade 7, Foreign Countries, Academically Gifted
Mischo, Christoph; Maaß, Katja – Journal of Education and Training Studies, 2013
This paper presents an intervention study whose aim was to promote teacher beliefs about mathematics and learning mathematics and student competences in mathematical modeling. In the intervention, teachers received written curriculum materials about mathematical modeling. The concept underlying the materials was based on constructivist ideas and…
Descriptors: Mathematical Models, Teacher Attitudes, Beliefs, Intervention
Dong, Nianbo; Lipsey, Mark – Society for Research on Educational Effectiveness, 2010
This study uses simulation techniques to examine the statistical power of the group- randomized design and the matched-pair (MP) randomized block design under various parameter combinations. Both nearest neighbor matching and random matching are used for the MP design. The power of each design for any parameter combination was calculated from…
Descriptors: Simulation, Statistical Analysis, Cluster Grouping, Mathematical Models
Kobrin, Jennifer L.; Patterson, Brian F. – College Board, 2010
There is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict first-year college performance at different institutions. This paper demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. In a model that…
Descriptors: Scores, Validity, Prediction, College Freshmen
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Peer reviewedSockloff, Alan L. – Educational and Psychological Measurement, 1976
Equations are derived for product correlation between variables derived from two or fewer original variables. Index correlation and spurious index correlation are briefly discussed. Exact equations for product correlation are derived, and spurious product correlation is demonstrated under various conditions. (RC)
Descriptors: Correlation, Mathematical Models, Statistical Analysis
Peer reviewedWells, Donald G.; Fruchter, Benjamin – Educational and Psychological Measurement, 1970
Descriptors: Correlation, Mathematical Models, Statistical Analysis
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1982
The possibility of using a Q-analysis also for nominal data is discussed, using the J-index as a measure of similarity between persons. An example is given when ten persons sorted 16 playing cards into as many groups as they wished. A Q-analysis of these data gave a natural two-dimensional structure. (Author/BW)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Statistical Analysis
Peer reviewedAlexander, Ralph A. – Journal of Educational Measurement, 1990
This note shows that the formula suggested by N. D. Bryant and S. Gokhale (1972) for correcting indirectly restricted correlations when no information is available on the third (directly restricted) variable is accurate only in one special instance. A more general correction formula is illustrated. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Selection

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