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Peer reviewedSherzer, Laurence – Arithmetic Teacher, 1973
Descriptors: Addition, Algorithms, Elementary School Mathematics, Fractions
Peer reviewedHarper, Dean – Psychometrika, 1972
A procedure is outlined showing how the axiom of local independence for latent structure models can be weakened. (CK)
Descriptors: Algorithms, Factor Analysis, Factor Structure, Mathematical Applications
Peer reviewedSchonemann, Peter H.; Wang, Ming-Mei – Psychometrika, 1972
Relations between maximum likelihood factor analysis and factor indeterminacy are discussed. (CK)
Descriptors: Algorithms, Correlation, Factor Analysis, Factor Structure
Peer reviewedVaughn, Ruth K. – Arithmetic Teacher, 1971
Descriptors: Algebra, Algorithms, Deduction, Geometric Concepts
Peer reviewedPagni, David L. – Arithmetic Teacher, 1971
Descriptors: Algorithms, Arithmetic, Computer Oriented Programs, Elementary School Mathematics
Ingersoll, Gary M. – California Journal of Educational Research, 1971
Descriptors: Algorithms, Experimental Programs, Fractions, Grade 6
Peer reviewedSowell, David – Arithmetic Teacher, 1971
Described is a student-discovered algorithm for solving a problem involving division by a fraction. (RS)
Descriptors: Algebra, Algorithms, Division, Elementary School Mathematics
Peer reviewedArndt, A. B. – Mathematics Teacher, 1983
Facts are given about the ninth-century Arab mathematician Al-Khwarizmi, from whose name the word algorithm is derived. His influence on algebra and arithmetic are discussed. (MNS)
Descriptors: Algebra, Algorithms, Arithmetic, Biographies
Peer reviewedTague, Jean; And Others – Library Trends, 1981
Discusses the notion that knowledge grows exponentially and describes its growth mathematically by an exponential function. Growth patterns in subfields of knowledge or research areas are described citing related research. Interpretation of growth rate statistics and forecasts are included. Thirty-three references and statistics used for graphs…
Descriptors: Abstracts, Algorithms, Functions (Mathematics), Graphs
Peer reviewedSchelin, Charles W. – American Mathematical Monthly, 1983
The general algorithm used in most hand calculators to approximate elementary functions is discussed. Comments on tabular function values and on computer function evaluation are given first; then the CORDIC (Coordinate Rotation Digital Computer) scheme is described. (MNS)
Descriptors: Algorithms, Calculators, College Mathematics, Functions (Mathematics)
Peer reviewedRubin, Donald B.; Thayer, Dorothy T. – Psychometrika, 1982
The details of EM algorithms for maximum likelihood factor analysis are presented for both the exploratory and confirmatory models. An example is presented to demonstrate potential problems in other approaches to maximum likelihood factor analysis. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Matrices, Maximum Likelihood Statistics
Peer reviewedBock, R. Darrell; Aitkin, Murray – Psychometrika, 1981
The practicality of using the EM algorithm for maximum likelihood estimation of item parameters in the marginal distribution is presented. The EM procedure is shown to apply to general item-response models. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Item Analysis
Peer reviewedMcGraw, Kenneth O.; Mallory, Lee H. – Journal of Research in Personality, 1981
Studies how monetary-incentive effects might be mediated by anxiety. College students (N=52) were administered six backward digit trails in a preexperimental, baseline phase and six trials in an experimental, test phase. Results showed the offer of reward did not elevate state anxiety scores and did improve performance. (Author)
Descriptors: Adults, Algorithms, Anxiety, Compensation (Remuneration)
Peer reviewedJournal of Reading, 1982
Reports on a study that found people could follow instructions from flowcharts or lists more quickly and accurately than from prose. (HOD)
Descriptors: Algorithms, Instructional Design, Mathematical Logic, Reading Research
Peer reviewedZimmerman, Donald W.; Williams, Richard H. – Psychometrika, 1982
Formulas for the standard error of measurement of three measures of change (simple differences; residualized difference scores; and a measure introduced by Tucker, Damarin, and Messick) are derived. A practical guide for determining the relative error of the three measures is developed. (Author/JKS)
Descriptors: Achievement Gains, Algorithms, Differences, Error of Measurement


