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Dart, Evan H.; Radley, Keith C. – Psychology in the Schools, 2023
Single-case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual…
Descriptors: Research Design, Research Methodology, Data Collection, Data Analysis
Shortridge, Ashton; Goldsberry, Kirk; Weessies, Kathleen – Journal of Geography, 2011
This article characterizes and measures errors in the 2010 National Research Council (NRC) assessment of research-doctorate programs in geography. This article provides a conceptual model for data-based sources of uncertainty and reports on a quantitative assessment of NRC research data uncertainty for a particular geography doctoral program.…
Descriptors: Geography, Doctoral Programs, Graduate Study, Educational Assessment
Sass, Tim R. – National Center on Scaling Up Effective Schools (NJ1), 2012
The core work of the National Center on Scaling Up Effective Schools consists of four stages: identifying practices of highly effective high schools, designing interventions and transfer of practices, evaluating the intervention's implementation and effects, and evaluating implementation at scale. The purpose of this report is to describe the…
Descriptors: Intervention, Educational Change, High Schools, Research Methodology

Dong, Hei-Ki – Perceptual and Motor Skills, 1982
An alternative procedure for converting the multidimensional rank-order data for multidimensional scaling is suggested. Data are converted into triad-comparison data from which the proximities are obtained for multidimensional scaling. (Author/CM)
Descriptors: Comparative Analysis, Data Analysis, Multidimensional Scaling, Research Methodology
OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability
Rumery, Robert E.; Hartnett, Barbara M. – 1973
The use of Kruskal's nonmetric multidimensional scaling model for analysis of classroom interaction data is discussed. Four distance models are proposed which lead to multidimensional representation of single sequences, sets of sequences, and behavior categories using symmetric and conditional proximity options of the model. Results of application…
Descriptors: Classroom Research, Data Analysis, Interaction, Interaction Process Analysis

Wiley, James B.; And Others – Multivariate Behavioral Research, 1984
The advantages and disadvantages of balanced incomplete block designs are clarified and their use is demonstrated with an empirical example. A procedure for reducing data of this type to analyzable form is proposed, and an analytical approach that is appropriate for the resulting data is illustrated. (Author/BW)
Descriptors: Behavioral Science Research, Data Analysis, Data Collection, Research Design

Ramsay, J. O. – Psychometrika, 1980
In studies involving judgments of similarity or dissimilarity, a variety of other variables may also be measured. In such cases, there are important advantages to joint analyses of the dissimilarity and collateral variables. A variety of models are described for relating these and algorithms are described for fitting these to data. (Author/JKS)
Descriptors: Data Analysis, Guessing (Tests), Mathematical Models, Measurement Techniques

Bechtel, Gordon G.; And Others – Psychometrika, 1971
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)
Descriptors: Data Analysis, Mathematical Models, Measurement Techniques, Multidimensional Scaling

Sireci, Stephen G. – Educational Assessment, 1998
Describes content-validity theory and illustrates new and traditional approaches for conducting content-validity studies. Newer approaches are based on multidimensional scaling analysis of item-similarity ratings, while traditional approaches are based on ratings of item-objective congruence and relevance. (Author/SLD)
Descriptors: Content Validity, Data Analysis, Evaluation Methods, Multidimensional Scaling

And Others; Takane, Yoshio – Psychometrika, 1980
An individual differences additive model is discussed which represents individual differences in additivity by differential weighting or additive factors. A procedure for estimating model parameters for various data measurement characteristics is developed. The method is found to be very useful in describing certain types of developmental change…
Descriptors: Algorithms, Data Analysis, Least Squares Statistics, Mathematical Models

Schonemann, Peter H.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Algorithms, Data Analysis, Dimensional Preference, Individual Differences
Blankmeyer, Eric – 1990
Given "T" joint observations on "K" variables, it is frequently useful to consider the weighted average or scaled score. L-scaling is introduced as a technique for determining the weights. The technique is so named because of its resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to two…
Descriptors: Comparative Analysis, Data Analysis, Economics, Mathematical Models
Price, Gary G.; And Others – 1978
A detailed description is provided of the variable school's demographic setting (DB), which is part of the analysis in phase I of the Evaluation of Practices in Individualized Schooling. The variable is defined; the questionnaires on which the variable is based are listed; the procedures used to scale the variable are explained; the distribution…
Descriptors: Community Characteristics, Data Analysis, Elementary Education, Individualized Instruction
McKinley, Robert L.; Reckase, Mark D. – 1982
The usefulness of the general Rasch model for multidimensional data, from the most simple formulations to the more complex versions of the model, is explored. Also investigated was whether the parameters of the models could be readily interpreted. Models investigated included: (1) the vector model; (2) the product term model; (3) the vector and…
Descriptors: Data Analysis, Factor Analysis, Goodness of Fit, Latent Trait Theory