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Showing all 13 results Save | Export
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Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
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Göksu, Ömer Can; Yüksek, Selami; Ölmez, Cengiz – Journal of Education and Training Studies, 2018
This study was conducted to examine the effects of sports activities other than soccer on 10-15-year-old soccer players' motor skills. The sample included 146 registered soccer players in the U category (U10-U15) of the Turkish Football Federation's Aslantepe, Çeliktepe and Seyrantepe clubs. The players participated in this study on a voluntary…
Descriptors: Team Sports, Age Differences, Physical Activities, Psychomotor Skills
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Reck, Rebecca M. – IEEE Transactions on Education, 2017
Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended…
Descriptors: Undergraduate Students, Delphi Technique, College Faculty, Teacher Attitudes
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Végh, Ladislav – Acta Didactica Napocensia, 2016
The first data structure that first-year undergraduate students learn during the programming and algorithms courses is the one-dimensional array. For novice programmers, it might be hard to understand different algorithms on arrays (e.g. searching, mirroring, sorting algorithms), because the algorithms dynamically change the values of elements. In…
Descriptors: Animation, Programming, Mathematical Logic, Computer Simulation
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Kalkan, Ömür Kaya; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
Linear factor analysis models used to examine constructs underlying the responses are not very suitable for dichotomous or polytomous response formats. The associated problems cannot be eliminated by polychoric or tetrachoric correlations in place of the Pearson correlation. Therefore, we considered parameters obtained from the NOHARM and FACTOR…
Descriptors: Sample Size, Nonparametric Statistics, Factor Analysis, Correlation
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Deng, Nina; Han, Kyung T.; Hambleton, Ronald K. – Applied Psychological Measurement, 2013
DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which…
Descriptors: Item Response Theory, Nonparametric Statistics, Statistical Analysis, Computer Software
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Strang, Kenneth David – International Journal of Web-Based Learning and Teaching Technologies, 2013
Extant literature asserted that peer assessments improved learning but only a few studies had addressed the student rating consistency issue and had not evaluated this within a Learning Management System (LMS). The researcher explored how to conduct peer assessments in Moodle LMS for a hybrid-mode business course (N = 90 students) which required…
Descriptors: Grading, Blended Learning, Computer Software, Statistical Analysis
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Nandakumar, Ratna; Yu, Feng; Zhang, Yanwei – Applied Psychological Measurement, 2011
DETECT is a nonparametric methodology to identify the dimensional structure underlying test data. The associated DETECT index, "D[subscript max]," denotes the degree of multidimensionality in data. Conditional covariances (CCOV) are the building blocks of this index. In specifying population CCOVs, the latent test composite [theta][subscript TT]…
Descriptors: Nonparametric Statistics, Statistical Analysis, Tests, Data
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LaFleur, Bonnie J.; Greevy, Robert A. – Journal of Clinical Child and Adolescent Psychology, 2009
A resampling-based method of inference--permutation tests--is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of…
Descriptors: Sampling, Statistical Inference, Nonparametric Statistics, Hypothesis Testing
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Morse, David T. – Educational and Psychological Measurement, 1999
Describes the MINISIZE 2 computer program, which permits the user to determine the effect size and the minimum sample size needed so that results of a given analysis will be statistically significant. Explains the program's operation and provides examples. (SLD)
Descriptors: Computer Software, Effect Size, Nonparametric Statistics, Sample Size
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Penfield, Randall D. – Applied Psychological Measurement, 2005
Differential item functioning (DIF) is an important consideration in assessing the validity of test scores (Camilli & Shepard, 1994). A variety of statistical procedures have been developed to assess DIF in tests of dichotomous (Hills, 1989; Millsap & Everson, 1993) and polytomous (Penfield & Lam, 2000; Potenza & Dorans, 1995) items. Some of these…
Descriptors: Test Bias, Item Analysis, Psychological Studies, Evaluation Methods
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Zimmerman, Donald W. – Journal of Experimental Education, 1987
A program obtained random samples from known populations, some of which violated the homogeneity assumption. Student t tests and Mann-Whitney U Tests were performed on the sample value. Where the t test led to incorrect decisions, the use of Mann-Whitney U test in its place led to poorer results. (JAZ)
Descriptors: Computer Software, Error of Measurement, Monte Carlo Methods, Nonparametric Statistics
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Cohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software