2015
DOI: 10.1080/03050068.2014.985926
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Institutional and contextual factors of quality in civic and citizenship education: Exploring possibilities of qualitative comparative analysis

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Cited by 13 publications
(17 citation statements)
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“…For example, Glaesser and Cooper (2012a, 2012b) used QCA to tackle core questions in the sociology of education by investigating how combinations of factors such as students’ gender, class, ability, and type of schooling can shed new light on their educational achievement. To give another example, Toots and Lauri (2015) tackled a cross-national comparative education question by studying how countries’ institutional environments shape the quality of citizenship education.…”
Section: Qca Research In Educationmentioning
confidence: 99%
“…For example, Glaesser and Cooper (2012a, 2012b) used QCA to tackle core questions in the sociology of education by investigating how combinations of factors such as students’ gender, class, ability, and type of schooling can shed new light on their educational achievement. To give another example, Toots and Lauri (2015) tackled a cross-national comparative education question by studying how countries’ institutional environments shape the quality of citizenship education.…”
Section: Qca Research In Educationmentioning
confidence: 99%
“…These surveys are designed to provide insights to teachers, researchers and educational policy experts, and they are important sources for future policy-making. The second issue covered in this subtopic is devoted to institutional and contextual factors of quality in civic and citizenship education (Toots & Lauri, 2015). With elaborating on the quality assurance in civic and citizenship education, we show that the quality is affected by the so-called remote social factors, such as level of economic and social human development, public investment in education and type of civic culture, as well as more proximate factors, such as national approaches to civic and citizenship curriculum and teaching, civic activation initiatives at schools and assessment practices.…”
Section: 2mentioning
confidence: 99%
“…One of the strengths of QCA in this research project is the focus on uniformities and near-uniformities Considering several combined properties of the 'cases' as mutually dependent enables us to identify regularities that can be expressed with the fewest possible conditions. In other words, it enables us to better determine key drivers of welfare state change [97,98]. Although fuzzy set analysis mainly operates with qualitative data, it also uses statistical data that allows us to overcome the limitations of previous comparative welfare model studies.…”
Section: Diagnosingmentioning
confidence: 99%
“…Although fuzzy set analysis mainly operates with qualitative data, it also uses statistical data that allows us to overcome the limitations of previous comparative welfare model studies. Most welfare model analyses require high-quality data for cross-national and historical perspectives [47,97,98]. However, such analyses are frequently hampered by the different availability of quantitative and qualitative data.…”
Section: Diagnosingmentioning
confidence: 99%
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