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Durrant, Gabriele B.; Maslovskaya, Olga; Smith, Peter W.F. – International Journal of Social Research Methodology, 2019
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…
Descriptors: Foreign Countries, Data Analysis, Interviews, Surveys
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Brown, Jason D.; St. Arnault, David; Sintzel, Jennifer; George, Natalie – Journal of Family Social Work, 2011
Foster parents licensed in a central Canadian province were contacted by telephone and invited to participate in a survey that included the question "What are the challenges of fostering a child with the same values, beliefs, and traditions as you?" Participants sorted all responses to the question into concepts that were analyzed using…
Descriptors: Caring, Concept Mapping, Multidimensional Scaling, Multivariate Analysis
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Brown, Jason D.; George, Natalie; St. Arnault, David; Sintzel, Jennifer – Journal of Family Social Work, 2011
A random sample of Canadian foster parents were asked about the importance of culture in fostering. In response to the question "What values, beliefs and traditions were you raised with and feel are important?," a total of 74 different responses were received. These responses were grouped together by foster parents and the groupings…
Descriptors: Multidimensional Scaling, Multivariate Analysis, Foster Care, Cultural Influences
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Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
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…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
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Commandeur, Jacques J. F.; Groenen, Patrick J. F.; Meulman, Jacqueline J. – Psychometrika, 1999
Presents two methods for including weights in distance-based nonlinear multivariate data analysis. One method assigns weights to the objects, while the other is concerned with differential weighing of groups of variables. Discusses applications of these weighting schemes and proposed an algorithm to minimize the corresponding loss function. (SLD)
Descriptors: Algorithms, Multidimensional Scaling, Multivariate Analysis, Research Methodology
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Miller, Robert – Bulletin of the Council for Research in Music Education, 1989
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.…
Descriptors: Models, Multidimensional Scaling, Multivariate Analysis, Music
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Dzhafarov, Ehtibar N.; Colonius, Hans – Psychometrika, 2006
We describe a principled way of imposing a metric representing dissimilarities on any discrete set of stimuli (symbols, handwritings, consumer products, X-ray films, etc.), given the probabilities with which they are discriminated from each other by a perceiving system, such as an organism, person, group of experts, neuronal structure, technical…
Descriptors: Psychometrics, Stimuli, Probability, Discriminant Analysis