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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Lee, Soon-Mook – International Journal of Testing, 2010
CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…
Descriptors: Factor Structure, Computer Software, Factor Analysis, Research Methodology
Camburn, Eric M.; Huff, Jason T.; Goldring, Ellen B.; May, Henry – Elementary School Journal, 2010
Because research has shown that principals' practices can significantly impact teaching and learning in their schools through multiple avenues, it is critical to understand the validity of tools that measure principal practice. While the field has relied heavily on self-report surveys, little is known about their validity. This study compares…
Descriptors: Multitrait Multimethod Techniques, Instructional Leadership, Principals, Surveys
Peer reviewedSimmen, Martin W. – Multivariate Behavioral Research, 1996
Several methodological issues in the multidimensional scaling of coarse dissimilarities were studied, examining whether it was better to scale dissimilarity data directly or to scale a new matrix derived from the original by row comparisons. Findings support an alternative row-comparison measure based on the Jacard coefficient. (SLD)
Descriptors: Comparative Analysis, Matrices, Multidimensional Scaling, Research Methodology
Hayashi, Atsuhiro – 2003
Both the Rule Space Method (RSM) and the Neural Network Model (NNM) are techniques of statistical pattern recognition and classification approaches developed for applications from different fields. RSM was developed in the domain of educational statistics. It started from the use of an incidence matrix Q that characterizes the underlying cognitive…
Descriptors: Classification, Comparative Analysis, Matrices, Pattern Recognition
Peer reviewedSchaffer, Catherine M.; Green, Paul E. – Multivariate Behavioral Research, 1996
The common marketing research practice of standardizing the columns of a persons-by-variables data matrix prior to clustering the entities corresponding to the rows was evaluated with 10 large-scale data sets. Results indicate that the column standardization practice may be problematic for some kinds of data that marketing researchers used for…
Descriptors: Cluster Analysis, Comparative Analysis, Marketing, Matrices
Peer reviewedStraton, Ralph G. – Educational and Psychological Measurement, 1975
Complete paired comparisons data was obtained by use of multiple rank order (MRO) in the context of gathering rank order preferences of grade six students, their parents, and teachers for instructional objectives. Partially balanced incomplete block designs with two associate classes were used in the MRO instruments instead of the usual balanced…
Descriptors: Comparative Analysis, Data Collection, Matrices, Reliability
Li, Jianmin; And Others – 1992
This paper discusses the issue of multiple testing and overall Type I error rates in contexts other than multiple comparisons of means. It demonstrates, using a 5 x 5 correlation matrix, the application of 5 recently developed modified Bonferroni procedures developed by the following authors: (1) Y. Hochberg (1988); (2) B. S. Holland and M. D.…
Descriptors: Comparative Analysis, Correlation, Hypothesis Testing, Mathematical Models
PDF pending restorationKaiser, Javaid – 1994
A Monte Carlo study was conducted to compare the efficiency of Listwise deletion, Pairwise deletion, Allvalue, and Samemean methods in estimating the correlation matrix from data that had randomly occurring missing values. The four methods were compared in a 3x3x4 factorial design representing sample size, proportion of incomplete records in the…
Descriptors: Comparative Analysis, Correlation, Estimation (Mathematics), Matrices
Peer reviewedHurt, C. D. – Library and Information Science Research, 1985
An examination of methodological referencing patterns for actual physics, engineering, and sociology literature for the year 1983, using a Dunn planned comparison approach, indicates that physics differs from both engineering and sociology, while no difference was found between engineering and sociology. References are given in each sample…
Descriptors: Citations (References), Comparative Analysis, Data Collection, Engineering
Peer reviewedDoreian, Patrick – Journal of the American Society for Information Science, 1985
Two journal-to-journal matrices for psychology in 1950 and 1960 are analyzed in terms of structural equivalence to test following hypotheses: that journals of a discipline function as a status-role relational system; that interdisciplinary journals are distant from journals of a field; that journal networks have a core-periphery structure. (26…
Descriptors: Citations (References), Cluster Analysis, Comparative Analysis, Hypothesis Testing
Cooper, Ernest C. – 1990
For a number of years, the California community colleges have used data from annual statewide surveys conducted by the Kern Community College District and the California Community College Trustees (CCCT) for comparative faculty salary information. Both the Kern and CCCT studies rely upon the device of selecting benchmark points (such as the…
Descriptors: College Faculty, Community Colleges, Comparative Analysis, Computer Oriented Programs
Rule, David L. – 1993
Several regression methods were examined within the framework of weighted structural regression (WSR), comparing their regression weight stability and score estimation accuracy in the presence of outlier contamination. The methods compared are: (1) ordinary least squares; (2) WSR ridge regression; (3) minimum risk regression; (4) minimum risk 2;…
Descriptors: Analysis of Covariance, Bayesian Statistics, Comparative Analysis, Computer Simulation
Edwards, Lynne K. – 1990
One of the most frequently used research methods in education and psychology involves repeated observations on the same individuals. When sample sizes are relatively small and a multivariate analysis lacks power, there are currently two analytical options in testing time effects. One is to assume a time series structure to these observations, and…
Descriptors: Analysis of Covariance, Comparative Analysis, Correlation, Educational Research
Hopp, David I. – 1980
A reporting and study format for the investigation of university student retention is presented. Student progression and loss is shown graphically and in tabular form to enable ready comprehension and encourage data exploration. Data obtained at Virginia Commonwealth University for 1977-80 are used as illustration. Two ways of viewing student…
Descriptors: Academic Persistence, Cohort Analysis, College Students, Comparative Analysis
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