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Choi, In-Hee; Wilson, Mark – Educational and Psychological Measurement, 2015
An essential feature of the linear logistic test model (LLTM) is that item difficulties are explained using item design properties. By taking advantage of this explanatory aspect of the LLTM, in a mixture extension of the LLTM, the meaning of latent classes is specified by how item properties affect item difficulties within each class. To improve…
Descriptors: Classification, Test Items, Difficulty Level, Statistical Analysis
Nowicki, Elizabeth A.; Brown, Jason; Stepien, Magdalena – Journal of Mixed Methods Research, 2014
Elementary school children between 9 and 12 years of age were interviewed on what they believed to be the causes of learning difficulties and were invited to take part in the analysis of the data. We achieved this with Trochim's concept mapping approach that combines qualitative and quantitative data analyses. Study results indicated that children…
Descriptors: Foreign Countries, Elementary School Students, Learning Problems, Student Attitudes
Jiang, Hua; Li, Xiaobin – Journal of International Education and Leadership, 2012
With approximately 30 million students the Chinese higher education system is the largest in the world. In every publicly funded institution there is a communist party secretary, however, little is known about these party secretaries. The purpose of the study was to understand who these people were. We collected data from 1,751 party secretaries…
Descriptors: Foreign Countries, Politics, Administrators, Higher Education
McConnell, William; Marton, John P. – Psychology Learning and Teaching, 2013
In an attempt to influence students' appreciation of the value of research, the authors introduced a multidimensional scaling activity in a section of introductory psychology. In two consecutive 80-minute classes, 32 students worked in pairs, categorizing 20 crimes on the basis of similarity and coding their partner's responses, and then worked in…
Descriptors: Introductory Courses, Psychology, Research Skills, Multidimensional Scaling

Peay, Edmund R. – Psychometrika, 1975
A class of closely related hierarchical grouping methods are discussed and a procedure which implements them in an integrated fashion is presented. These methods avoid some theoretical anomalies inherent in clustering and provide a framework for viewing partitioning and nonpartitioning grouping. Significant relationships between these methods and…
Descriptors: Classification, Cluster Grouping, Computer Programs, Data Analysis