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Jopke, Nikolaus; Gerrits, Lasse – International Journal of Social Research Methodology, 2019
There is a need to improve the ways in which Qualitative Comparative Analysis (QCA) handles qualitative data. To this end, we propose to include ideas and routines from Grounded Theory (GT) in QCA. We will first argue that there is a natural fit between the two on the ontological level. On the methodological level, we will demonstrate in what ways…
Descriptors: Qualitative Research, Comparative Analysis, Grounded Theory, Sampling
Smithers, Alan – Sutton Trust, 2013
Understanding how well English education performs compared with other countries is a valuable exercise, particularly because the information can help England and other countries learn from successful systems. The most recent international league tables of pupil performance differ considerably. England languishes well down the list in PISA 2009,…
Descriptors: Foreign Countries, School Effectiveness, National Competency Tests, Classification
Ruscio, John; Marcus, David K. – Psychological Assessment, 2007
On the basis of taxometric analyses of data sets that they created to pose interpretive challenges, S. R. H. Beach, N. Amir, and J. J. Bau (2005) cautioned that using comparison data simulated by J. Ruscio's programs can lead to inaccurate conclusions. Careful examination of S. R. H. Beach et al.'s methods and results plus reanalysis of their data…
Descriptors: Classification, Comparative Analysis, Statistical Analysis, Simulation
Williams, Ross – Australian Universities' Review, 2008
University rankings are having a profound effect on both higher education systems and individual universities. In this paper we outline these effects, discuss the desirable characteristics of a good ranking methodology and document existing practice, with an emphasis on the two main international rankings (Shanghai Jiao Tong and THES-QS). We take…
Descriptors: Research Methodology, Evaluation Criteria, Classification, Comparative Analysis
Hunt, E. Stephen – 1993
The International Standard Classification of Education (ISCED) was developed by the United Nations Educational, Scientific, and Cultural Organization in the 1960s and 1970s to be the recognized international standard for reporting and interpreting education program data. Creating a U.S. crosswalk to this system has been a goal of research…
Descriptors: Academic Standards, Classification, Comparative Analysis, Data Interpretation

Lewit, Eugene M.; Baker, Linda Schuurmann – Future of Children, 1996
Examines data collected by the federal Office of Special Education Programs (OSEP) on the identification and classification of special education students. Analysis suggests that the OSEP count data, by themselves, do not indicate how many children have disabilities or what types of disabilities they have, and the data cannot by used to evaluate…
Descriptors: Classification, Comparative Analysis, Data Interpretation, Disability Identification
Fisher, Mark A. – 1992
A model of graph comprehension is proposed including perceptual and memory processes. Multidimensional scaling (MDS), cluster analysis, and analysis of variance (ANOVA) were used to determine how college students with different mathematical experience read different types of bar graphs. Data were collected at the University of Oklahoma (Norman)…
Descriptors: Analysis of Variance, Classification, Cluster Analysis, College Students