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Delice, Ali; Kertil, Mahmut – International Journal of Science and Mathematics Education, 2015
This article reports the results of a study that investigated pre-service mathematics teachers' modelling processes in terms of representational fluency in a modelling activity related to a cassette player. A qualitative approach was used in the data collection process. Students' individual and group written responses to the mathematical modelling…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematical Models, Mathematical Concepts
Koparan, Timur; Yilmaz, Gül Kaleli – Universal Journal of Educational Research, 2015
The effect of simulation-based probability teaching on the prospective teachers' inference skills has been examined with this research. In line with this purpose, it has been aimed to examine the design, implementation and efficiency of a learning environment for experimental probability. Activities were built on modeling, simulation and the…
Descriptors: Foreign Countries, Simulation, Preservice Teachers, Inferences
Warwick, Paul; Vrikki, Maria; Vermunt, Jan D.; Mercer, Neil; van Halem, Nicolette – ZDM: The International Journal on Mathematics Education, 2016
Lesson Study is rapidly becoming one of the most adopted models of teacher professional development worldwide. In this paper, we examine the teachers' discussions that are an integral part of the Lesson Study research cycle. In particular, we investigate the "dialogic mechanisms" that enable teachers' pedagogical intentions to be…
Descriptors: Observation, Mathematics, Mathematics Instruction, Lesson Plans
Peer reviewedSanders, P. F.; And Others – Psychometrika, 1989
A new method is presented for determining the minimum number of observations per subject needed to achieve a specific generalizability coefficient. The method, consisting of a branch-and-bound algorithm, enables an investigator to specify an acceptable threshold for generalizability coefficients. (SLD)
Descriptors: Equations (Mathematics), Generalizability Theory, Mathematical Models, Observation
Blankmeyer, Eric – 1990
Given "T" joint observations on "K" variables, it is frequently useful to consider the weighted average or scaled score. L-scaling is introduced as a technique for determining the weights. The technique is so named because of its resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to two…
Descriptors: Comparative Analysis, Data Analysis, Economics, Mathematical Models
PDF pending restorationWillson, Victor L. – 1975
A theoretical model is developed for analysis of intervention effects in multiple autocorrelated time-series which may be classified or blocked two ways. The intervention effect is estimated independently for each series. The estimates are then entered as observations in two-factor analysis of variance with one observation per cell, utilizing a…
Descriptors: Analysis of Variance, Classification, Correlation, Intervention
Feldt, Leonard S. – 1983
This paper considers, from a theoretical point of view, two measurement approaches used in measuring success and failure in skills tests in physical education. The first, "fixed length" (FL) testing, entails counting the number of successful performances in a fixed number of trials. The second, "trials-to-criterion" (TTC)…
Descriptors: Evaluation Methods, Mathematical Formulas, Mathematical Models, Measurement Techniques
PDF pending restorationRosmann, Michael R. – 1973
When repeated measures are obtained on the same subjects, interobservation dependencies frequently are generated. The major ways in which these dependencies can arise are illustrated and it is shown how these dependencies may invalidate the use of analysis of variance (ANOVA) and its extension, trend analysis, as methods of evaluating the data of…
Descriptors: Analysis of Variance, Correlation, Goodness of Fit, Hypothesis Testing
Robey, Randall R.; Barcikowski, Robert S. – 1986
This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…
Descriptors: Analysis of Variance, Behavioral Science Research, Comparative Analysis, Hypothesis Testing

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