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Pagni, 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

Sowell, 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

Arndt, 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

Tague, 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

Schelin, 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)

Rubin, 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

Bock, 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

McGraw, 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)

Journal 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

Zimmerman, 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

Norton, Robert W. – Small Group Behavior, 1979
Maintains that coalitions form as a function of the popularity of an individual and the reciprocation between individuals. An algorithm is introduced, incorporating both popularity and reciprocation components, to generate units of analysis for coalition identification. The algorithm reflects aspects of the whole group and intensity of dyads.…
Descriptors: Algorithms, Group Behavior, Group Dynamics, Interaction Process Analysis

Bell, C. L. M.; Jones, K. P. – Information Processing and Management, 1980
Explains, with supporting figures and flowcharts of programing logic, two search strategies introduced to the MORPHS System since 1976: one that employs the normal Boolean operators in strings without bracketing or in the form of marked steps, and one that treats a string of keywords as a compound word. (Author/JD)
Descriptors: Algorithms, Flow Charts, Information Retrieval, Minicomputers

Clarkson, D. B.; Jennrich, R. I. – Psychometrika, 1980
A jackknife-like procedure is developed for producing standard errors of estimate in maximum likelihood factor analysis. Unlike earlier methods based on information theory, the procedure developed is computationally feasible on larger problems. Examples are given to demonstrate the feasibility of the method. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Error of Measurement, Factor Analysis
Braun, Peter – Journal of Computer-Based Instruction, 1976
Teaching methods which emphasize understanding and insight can be effectively supported and expanded by using A Programming Language (APL) as a notation for both writing the algorithms of a discipline and then exploring the behavior of these algorithms by computer. (Author/LS)
Descriptors: Algorithms, Behavioral Objectives, Computer Oriented Programs, Programing Languages