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Lakin, Joni M.; Chaudhuri, Shankharupa – Educational Research Quarterly, 2016
Collecting evaluations following a professional development workshop and similar events has become common practice for assessing workshop quality. However, these evaluation forms often do not reflect best practices in survey development and result in average ratings that are uniformly high and uninformative. The purpose of this study was to…
Descriptors: Workshops, Rating Scales, Faculty Development, College Faculty
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Elander, Kelly; Cronje, Johannes C. – Educational Technology Research and Development, 2016
While learning interventions were traditionally classified as either objectivist or constructivist there has been an increasing tendency for practitioners to use elements of both paradigms in a consolidated fashion. This has meant a re-think of the two perspectives as diametrically opposite. A four-quadrant model, first proposed in this journal…
Descriptors: Statistical Analysis, Investigations, Models, Constructivism (Learning)
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Sigmundsson, Hermundur; Haga, Monika – European Early Childhood Education Research Journal, 2016
The health benefits of a physical active lifestyle and physical fitness from a young age are widely recognized as beneficial. This study examined the relationship between physical fitness and motor competence in children aged four- to six-years-old. A sample of 42 children (mean age 5.15 years, SD 0.56 year) participated in the study. To assess…
Descriptors: Preschool Children, Physical Fitness, Psychomotor Skills, Correlation
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Menold, Natalja; Raykov, Tenko – Educational and Psychological Measurement, 2016
This article examines the possible dependency of composite reliability on presentation format of the elements of a multi-item measuring instrument. Using empirical data and a recent method for interval estimation of group differences in reliability, we demonstrate that the reliability of an instrument need not be the same when polarity of the…
Descriptors: Test Reliability, Test Format, Test Items, Differences
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Mizumoto, Atsushi; Plonsky, Luke – Applied Linguistics, 2016
In this article, we suggest that using R, a statistical software environment, is advantageous for quantitative researchers in applied linguistics. We first provide a brief overview of the reasons why R is popular among researchers in other fields and why we recommend its use for analyses in applied linguistics. In order to illustrate these…
Descriptors: Statistical Analysis, Applied Linguistics, Computer Software, Data Analysis
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Bargagliotti, Anna; Groth, Randall – Teaching Statistics: An International Journal for Teachers, 2016
Because the disciplines of mathematics and statistics are naturally intertwined, designing assessment questions that disentangle mathematical and statistical reasoning can be challenging. We explore the writing statistics assessment tasks that take into consideration potential mathematical reasoning they may inadvertently activate.
Descriptors: Statistics, Statistical Analysis, Mathematics, Mathematical Logic
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Tampieri, Alessandro – Education Economics, 2016
This paper argues that assortative matching may explain over-education. Education determines individuals' income and, due to the presence of assortative matching, the quality of partners in personal, social and working life. Thus, an individual acquires education to improve the expected partners' quality. However, since every individual of the…
Descriptors: Educational Attainment, Overachievement, Education Work Relationship, Interpersonal Relationship
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Mascaró, Maite; Sacristán, Ana Isabel; Rufino, Marta M. – Teaching Mathematics and Its Applications, 2016
For the past 4 years, we have been involved in a project that aims to enhance the teaching and learning of experimental analysis and statistics, of environmental and biological sciences students, through computational programming activities (using R code). In this project, through an iterative design, we have developed sequences of R-code-based…
Descriptors: Programming, Statistics, Biological Sciences, Foreign Countries
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Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity
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Sørensen, Mads P.; Bloch, Carter; Young, Mitchell – European Journal of Higher Education, 2016
In 2013, the European Union (EU) unveiled its new "Composite Indicator for Scientific and Technological Research Excellence." This is not an isolated occurrence; policy-based interest in excellence is growing all over the world. The heightened focus on excellence and, in particular, attempts to define it through quantitative indicators…
Descriptors: Scientific Research, Foreign Countries, Educational Policy, Knowledge Economy
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Novak, Andrew R.; Dascombe, Benjamin J. – Measurement in Physical Education and Exercise Science, 2016
This study aimed to determine if the Garmin Vector (Schaffhausen, Switzerland) power meter produced acceptable measures when compared with the Schoberer Rad Messetechnik (SRM; Julich, Germany) power meter across a range of high-intensity efforts. Twenty-one well-trained cyclists completed power profiles (seven maximal mean efforts between 5 and…
Descriptors: Measurement Equipment, Physical Activities, Statistical Analysis, Comparative Analysis
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Andrich, David – Educational Measurement: Issues and Practice, 2016
Since Cronbach's (1951) elaboration of a from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution…
Descriptors: Computation, Correlation, Test Theory, Measures (Individuals)
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Karlgren, Klas; Ramberg, Robert; Artman, Henrik – International Journal of Technology and Design Education, 2016
Interaction design is usually described as being concerned with interactions with and through artifacts but independent of a specific implementation. Design work has been characterized as a conversation between the designer and the situation and this conversation poses a particular challenge for interaction design as interactions can be elusive…
Descriptors: Interaction, Design, Design Requirements, Instructional Design
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Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
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Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth – Advances in Physiology Education, 2016
A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…
Descriptors: Learning Strategies, Statistical Analysis, Correlation, Multivariate Analysis
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