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König, Christoph; van de Schoot, Rens – Educational Review, 2018
The ability of a scientific discipline to build cumulative knowledge depends on its predominant method of data analysis. A steady accumulation of knowledge requires approaches which allow researchers to consider results from comparable prior research. Bayesian statistics is especially relevant for establishing a cumulative scientific discipline,…
Descriptors: Bayesian Statistics, Educational Research, Educational Practices, Data Analysis
Martin, Cassandra – ProQuest LLC, 2010
The purpose of this paper is to describe a process for teachers, administrators, and families to examine existing structures that support inclusion in their schools and in their children's schools. This research study used Appreciative Inquiry to show how stakeholders can take a more active role to support education reform. History has proven that…
Descriptors: Educational Change, Educational Methods, Data Analysis, Educational Experience
Fraillon, Julian; Schulz, Wolfram; Ainley, John – International Association for the Evaluation of Educational Achievement, 2013
The purpose of the International Computer and Information Literacy Study 2013 (ICILS 2013) is to investigate, in a range of countries, the ways in which young people are developing "computer and information literacy" (CIL) to support their capacity to participate in the digital age. To achieve this aim, the study will assess student…
Descriptors: Computer Literacy, Information Literacy, Computer Assisted Testing, Data Analysis