Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

The ability to purposefully access, reflect, and use evidence from educational research (Educational Research Literacy) is expected of future professionals in educational practice. Based on the presented conceptual framework, a test instrument was developed to assess the different competency aspects: Information Literacy, Statistical Literacy, and…

The process of constructing assessment scales for performance testing is complex and multi-dimensional. As a result, a number of different approaches, both empirically and intuitively based, are open to developers. In this paper we outline the approach taken in the revision of a set of assessment scales used with speaking tests, and present the…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

Contains a solution for the multidimensional scaling of pairwise choice when individuals are represented as dimensional weights. The analysis supplies an exact least squares solution and estimates of group unscalability parameters. (DG)

Provides a nontechnical explanation of the family of multivariate statistical techniques known as multidimensional scaling (MDS). Explains the purpose of MDS, and the advantages of using these techniques in the study of musical perception. Discusses two approaches to the interpretation of MDS solutions. Lists examples of musical studies using MDS.…

Models for multidimensional scaling use metric spaces with additive difference metrics. Two important properties of additive difference metrics are decomposability and intradimensional subtractivity. A prediction was derived from these properties and tested experimentally. Eleven non-psychology students were used as subjects. Rectangles varying in…

This paper describes the methodology used to analyze interview data on school control structures in the Management Implications of Team Teaching (MITT) project. Project MITT looked at school decision issues and their control structures, and at the people making or being governed by those decisions, to test how types of school decisions are related…

Quantitative and qualitative measures of patient satisfaction with psychiatric outpatient services were compared in interviews with 263 outpatients. Results indicate that expressions of dissatisfaction appear mainly in open-ended questions. Focus on the questions and acceptability of the data gathering procedure appears to influence responses…

In a series of three independent studies that focused on the classic sources of curriculum (the learner, society, and subject matter), data were gathered that might bear on the choices facing the curriculum developer. Learner data tentatively revealed what characteristics of pictures affected the deployment of third-grade children's visual…

Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)

The effects of varying degrees of correlation between abilities and of various correlation configurations between item parameters on ability and item parameter estimation using the three parameter logistic model were examined. Ten two-trait configurations and one unidimensional test configuration for 30 item tests were simulated. Each…

Stanford's Environment for Teaching study involved analysis of data collected in 1973 and 1975 by questionnaire and interview from 188 principals and over 200 teachers from a stratified sample of 46 elementary schools drawn from 34 San Francisco Bay Area school districts. Using aggregate indices, the study examined data relating school complexity…