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Lorber, Neil M. – Educ Res, 1970
Descriptors: Children, Data Analysis, Rating Scales, Social Adjustment
Krippendorff, Klaus – Educ Psychol Meas, 1970
Descriptors: Content Analysis, Data Analysis, Reliability, Tables (Data)
Peer reviewed Peer reviewed
Ramsay, J. O. – Psychometrika, 1982
Data are often a continuous function of a variable such as time observed over some interval. One or more such functions might be observed for each subject. The extension of classical data analytic techniques to such functions is discussed. (Author/JKS)
Descriptors: Data Analysis, Mathematical Models, Multivariate Analysis, Psychometrics
Peer reviewed Peer reviewed
Riccia, Giacomo Della; Shapiro, Alexander – Psychometrika, 1982
Some mathematical aspects of minimum trace factor analysis (MTFA) are discussed. The uniqueness of an optimal point of MTFA is proved, and necessary and sufficient conditions for any particular point to be optimal are given. The connection between MTFA and classical minimum rank factor analysis is discussed. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewed Peer reviewed
Wilcox, Rand R. – Educational and Psychological Measurement, 1983
When comparing k normal populations an investigator might want to know the probability that the population with the largest population mean will have the largest sample mean. This paper describes and illustrates methods of approximating this probability when the variances are unknown and possibly unequal. (Author/BW)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Formulas, Probability
Peer reviewed Peer reviewed
Verhelst, N. D. – Psychometrika, 1981
A method for the least squares regression of one squared variable on a second squared variable when the relationship between the original variables is linear is given. The problem arises in multidimensional scaling algorithms. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Multidimensional Scaling, Regression (Statistics)
Peer reviewed Peer reviewed
Olkin, Ingram – Psychometrika, 1981
It is known that for trivariate distributions, if two correlations are fixed, the remaining correlation is constrained. If just one is fixed, the remaining two are constrained. Both results are extended to the case of a multivariate distribution. (Author/JKS)
Descriptors: Correlation, Data Analysis, Matrices, Multiple Regression Analysis
Bisbee, Kolak K.; Hawkins, Harry M. – Industrial Education, 1982
Presents a microcomputer program (designed for Apple II but it can be modified) used to calculate various dimensions relative to a spur gear. Basic terms are identified and a program listing for gear calculations is included. (CT)
Descriptors: Computation, Computer Programs, Data Analysis, Microcomputers
Peer reviewed Peer reviewed
Mendoza, Jorge L. – Psychometrika, 1980
The paper obtains a maximum likelihood criterion test for multisample sphericity. The test contains Mauchly's sphericity test as a special case. (Author)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing
Harnack, William J. – Humanist, 1981
Considers the dichotomy between the cosmic perspective and the creationist view. Presents an overview of various current explanations of the origin and nature of the universe, including scientific explanations, fundamentalist beliefs, and creation myths from other cultures. The article is based on comments made by Carl Sagan at the American…
Descriptors: Beliefs, Creationism, Data Analysis, Evolution
Peer reviewed Peer reviewed
Lastovicka, John L. – Psychometrika, 1981
A model for four-mode component analysis is developed and presented. The developed model, which is an extension of Tucker's three-mode factor analytic model, allows for the simultaneous analysis of all modes of a four-mode data matrix and the consideration of relationships among the modes. (Author/JKS)
Descriptors: Advertising, Data Analysis, Factor Analysis, Mathematical Models
Peer reviewed Peer reviewed
Mulaik, Stanley A. – Psychometrika, 1981
It is proved for the common factor model that, under certain conditions maintaining the distinctiveness of each factor, a given factor will be determinate if there exists an unlimited number of variables in the model, each having an absolute correlation with the factor greater than some arbitrarily small quantity. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Statistics
Sawyer, Thomas M. – ABCA Bulletin, 1980
Compares presenting data in science to presenting legal evidence. Points out that evidence can be either the thing itself or independent facts about the thing. Indicates that the latter category includes testimonial evidence and circumstantial evidence, both of which can lead to sound conclusions in law or science. (TJ)
Descriptors: Court Litigation, Data Analysis, Deduction, Scientific Methodology
Peer reviewed Peer reviewed
Rimon, Jonathan – Educational and Psychological Measurement, 1979
A computer program written in BASIC is described which performs one-way analysis of variance based on the mean, standard deviation, and size of each group. Output lists a full analysis of variance table. (Author)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis
Peer reviewed Peer reviewed
Boyce, Bert R.; Banning, Carolyn Sue – RQ, 1979
Four hundred eighty-seven citations of the 1976 issues of the Journal of the American Society for Information Science and the Personnel and Guidance Journal were checked for accuracy: total error was 13.6 percent and 10.7 percent, respectively. Error categories included incorrect author name, article/book title, journal title; wrong entry; and…
Descriptors: Citations (References), Data Analysis, Library Research, Periodicals
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