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Becker, Kirk; Meng, Huijuan – Journal of Applied Testing Technology, 2022
The rise of online proctoring potentially provides more opportunities for item harvesting and consequent brain dumping and shared "study guides" based on stolen content. This has increased the need for rapid approaches for evaluating and acting on suspicious test responses in every delivery modality. Both hiring proxy test takers and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Observation
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De Nóbrega, José Renato – Teaching Statistics: An International Journal for Teachers, 2017
A strategy to facilitate understanding of spatial randomness is described, using student activities developed in sequence: looking at spatial patterns, simulating approximate spatial randomness using a grid of equally-likely squares, using binomial probabilities for approximations and predictions and then comparing with given Poisson…
Descriptors: Statistical Analysis, Sequential Approach, Pattern Recognition, Simulation
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Scherp, Hans-Ake – International Journal of Research & Method in Education, 2013
The aim of the article is to show how substantial qualitative material consisting of graphic cognitive maps can be analysed by using digital CmapTools, Excel and SPSS. Evidence is provided of how qualitative and quantitative methods can be combined in educational research by transforming qualitative data into quantitative data to facilitate…
Descriptors: Foreign Countries, Cognitive Mapping, Urban Environment, Interviews
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Myhill, Debra; Lines, Helen; Watson, Annabel – English in Australia, 2012
The place of grammar in an English or literacy curriculum has long been a source of debate, one in which professionals, politicians and the public have often engaged with unbridled enthusiasm. As such, the debate has sometimes been characterised more by ideology or polemic, than by intellectual engagement with the core ideas. In part, this is…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Teachers, English Teachers
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Duffy, Sean – Journal of Statistics Education, 2010
This paper describes three spreadsheet exercises demonstrating the nature and frequency of type I errors using random number generation. The exercises are designed specifically to address issues related to testing multiple relations using correlation (Demonstration I), t tests varying in sample size (Demonstration II) and multiple comparisons…
Descriptors: Spreadsheets, Class Activities, Statistics, Inferences