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Lessard-Clouston, Michael – Journal of English for Academic Purposes, 2010
This article presents a descriptive case study on the use of technical vocabulary in the lectures of a first-year graduate theology course in Canada. It first contextualizes this research by noting four kinds of English vocabulary and the study of classrooms as lexical environments. Next it outlines the study's methodology, including the…
Descriptors: Foreign Countries, Data Analysis, Vocabulary Development, Philosophy
Peer reviewedBrown, Morton B. – Psychometrika, 1975
Estimates of conditional uncertainty, contingent uncertainty, and normed modifications of contingent uncertainity have been proposed for the two-way contingency table. The asymptotic standard errors of the estimates are derived. (Author)
Descriptors: Data Analysis, Sampling, Statistical Analysis
Peer reviewedOlejnik, Stephen F.; Algina, James – Journal of Educational Statistics, 1987
Estimated Type I Error rates and power are reported for the Brown-Forsythe, O'Brien, Klotz, and Siegal-Tukey procedures. The effect of aligning the data using deviations from group means or group medians is investigated. (RB)
Descriptors: Data Analysis, Scaling, Statistical Analysis
Peer reviewedTanaka, J. S.; Huba, G. J. – Journal of Consulting and Clinical Psychology, 1984
Discusses a Viet and Ware (1983) article which presented evidence from which they concluded that a strong, hierarchical factor of mental health underlay factors of psychological distress and psychological well-being. Reexamines the data using confirmatory factor analytic methods to assess the plausibility of their central model. (JAC)
Descriptors: Data Analysis, Factor Structure, Psychopathology
Peer reviewedMcNeil, Keith A.; Kelly, Francis J. – Journal of Experimental Education, 1970
Descriptors: Data Analysis, Psychometrics, Statistical Analysis
Lawlor, George F. – J Exp Educ, 1970
Descriptors: Colleges, Data Analysis, Institutional Environment
Peer reviewedDegerman, Richard – Psychometrika, 1982
A procedure is described for orienting the nodes of a binary tree to maximize the Kendall rank order correlation (tau) between node order and a given external criterion. The procedure is computationally efficient and is based on application of an ordered set of node tests. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis
Peer reviewedCharter, Richard A.; Larsen, Barbara S. – Educational and Psychological Measurement, 1983
While tables and formulas for Fisher's z transformations are commonly included in introductory statistics books, the reverse of this transformation, namely, Fisher's z to r, is not included. Two Fisher's z to r formulas are presented. (Author)
Descriptors: Correlation, Data Analysis, Mathematical Formulas
Peer reviewedHafner, Robert – Psychometrika, 1981
The method proposed by Harman and Fukuda to treat the so-called Heywood case in the minres method in factor analysis (i.e., the case where the resulting communalities are greater than one) involves the frequent solution of eigenvalue problems. A simple method to treat this problem is presented. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis
Peer reviewedCarithers, Martha W.; Flynn, Cynthia B. – Educational and Psychological Measurement, 1980
Coombs' formulation of Data Quadrants, and Runkle and McGrath's adaptation, were found to be incomplete. The third dichotomy was nonfunctional in half the Quadrants, resulting in inconsistent interpretation of the proximity element. The category "comparison between points and dyads" should be added to complete the logical classification…
Descriptors: Classification, Comparative Analysis, Data Analysis
Peer reviewedGibson, Nicole Morgan; Olejnik, Stephen – Educational and Psychological Measurement, 2003
Studied the problem of missing data at the second level of a two-level hierarchal data structure using data generated to simulate the 1982 High School and Beyond data set with five different missing data treatments: listwise deletion, overall mean substitution, group mean substitution, the EM algorithm, and multiple imputation. (SLD)
Descriptors: Data Analysis, Longitudinal Studies, Simulation
Peer reviewedOsbourne, Jason W. – Practical Assessment, Research & Evaluation, 2002
Discusses issues involved in data transformation to aid researchers who do not have extensive mathematical backgrounds. Focuses on the use of data transformation for normalization of variables. Emphasizes that researchers should understand their data before performing analyses. (SLD)
Descriptors: Data Analysis, Research Methodology, Researchers
Peer reviewedTen Berge, Jos M. F. – Multivariate Behavioral Research, 1999
Discusses ipsatizing variables prior to component analysis by subtracting the mean score of each individual from all the scores of that individual, showing technical objections to component analysis of ipsatized variables to be based on erroneous premises. Suggests partialling the mean component as a superior procedure. (SLD)
Descriptors: Data Analysis, Research Methodology, Scores
Peer reviewedLewin, Alisa C.; Mitchell, Michael N. – Evaluation Review, 1999
Proposes group mean centering as a solution to the problem of pooling data from multiple sites. Uses California's Work Pays Demonstration Project to illustrate three analysis strategies for data from multiple sites. Discusses considerations in choosing the centering strategy. (SLD)
Descriptors: Data Analysis, Evaluation Methods, Experiments
Peer reviewedSanford, Jon A.; Butterfield, Tina – Gerontologist, 2005
Purpose: Although remote home assessment would enable specialists to prescribe home modifications for anyone, anywhere, the strategy is dependent on the ability to provide specialists with the same information as an in-home assessment. The purpose of this paper is to document that remote assessment is feasible and concurs largely with traditional…
Descriptors: Identification, Data Analysis, Rural Areas

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