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BURNHAM, F.R. – 1967
A REPORT ON THE IMPLEMENTING AND TESTING THE USE OF ELECTRONIC DEVICES FOR PROCESSING SCHOOL PROPERTY ACCOUNTING DATA CONSISTS OF PROCEDURAL STEPS FOR COLLECTING DATA PERTAINING TO SCHOOL SITES, BUILDINGS AND EQUIPMENT. DATA WERE COLLECTED TO ESTABLISH COMPLETE ACCOUNTING RECORDS OF SCHOOL PROPERTY AS IT EXISTED IN THE CEDAR RAPIDS, IOWA, SCHOOL…
Descriptors: Data, Data Analysis, Data Collection, Data Processing
Dingman, Harvey F.; Peck, Robert F. – 1968
The reanalysis of data collected in large research projects presents problems, mainly because the hypotheses to be tested may be dependent on the hypotheses of the original project. One possible solution to this problem would be to use the data to group subjects into typologies. (HW)
Descriptors: Classification, Data Analysis, Information Storage, Research Problems
Dyer, Robert F.; And Others – 1976
This manual has been prepared primarily for the use and guidance of those who must develop or administer questionnaires as part of Army field tests and evaluations. The general content and concepts, however, should be useful to anyone involved in constructing or administering surveys, interviews, or questionnaires. Guidance on (1) preparing,…
Descriptors: Data Analysis, Guides, Interviews, Pretesting
Keeves, John P. – 1974
This paper, presented at the Fifth Annual Conference of the Australian Science Education Research Association in 1974, discusses the various strategies for analyzing the data gathered to explore the effect of specific school variables on educational achievement. The discussion centers around the International Association for the Evaluation of…
Descriptors: Academic Achievement, Data Analysis, Educational Environment, Research Problems
Burstein, Leigh – 1974
The investigation focused on the effects of using grouped data to estimate the relations that exist in data on individuals. Different research contexts were identified in which researchers group observations though interested in relations among measurements on individuals. The consequences of estimating regression coefficients from grouped data…
Descriptors: Classification, College Freshmen, Data Analysis, Induction
Dunn-Rankin, Peter – 1970
During the 1969-70 academic year the author engaged in an extensive program of research training at the Bell Telephone Laboratories. He studied multidimensional scaling techniques and used many of these techniques in the analysis of data resulting from experiments and studies of the visual and cognitive perception of letters and words. The…
Descriptors: Data Analysis, Educational Objectives, Educational Research, Perception
Hall, Budd L. – 1971
Data on the participants from university adult education institutions in Ghana, Uganda and Tanzania are examined in order to understand how existing university adult education programs strengthen differences between the educated and the uneducated. Not only does the gap between the two groups grow larger, but the rate at which this gap widens is…
Descriptors: Adult Education, Data Analysis, Developing Nations, Socioeconomic Status
Krus, David J.; Bart, William M. – 1972
Presented is a method, derived from ordering theory, for the multidimensional scaling of dichotomous item data. The method is said to be related to the methodological multivariate extension of I. Guttman's scalogram analysis developed by C. Coombs and his students. An example is used to compare the data analytic results of the ordering theoretic…
Descriptors: Data Analysis, Item Analysis, Measurement Techniques, Statistical Analysis
Rubin, Donald B. – 1973
Most articles on missing values assume the missing data are "missing at random" and ignore the process that "caused" the missing values. The condition under which this procedure is justified is explored here: the concept of missing at random is precisely defined, several examples are discussed, and two simple conditions are given which are…
Descriptors: Bulletins, Data Analysis, Mathematical Models, Research Reports
Anderson, James G.; Evans, Francis B. – 1972
Causal modelling procedures developed in economics and biology provide social scientists with powerful methodological tools that permit them to bridge the gap between theory and research. In this paper one type of causal modelling technique involving a structural set of equations that are recursive in form has been used to reanalyze the data from…
Descriptors: Biology, Data Analysis, Economics, Educational Research
Johnson, Jarvus Burdett – 1970
The major purpose of this study was to determine, from an analysis of the misspellings, some of the difficulties experienced by children in spelling 4140 common words. Five elementary schools in three states were selected for the study. One classroom unit for every grade level from 3 to 6 from each school were chosen for the study. Misspellings of…
Descriptors: Data Analysis, Elementary Education, Spelling, Spelling Instruction
RAGSDALE, RONALD – 1966
THIS WORKING PAPER OFFERS A BRIEF DESCRIPTION OF THE UTILIZATION OF COMPUTERS AS CONTROL DEVICES, LISTING BOTH THEIR ADVANTAGES AND DISADVANTAGES. SUCH OTHER APPLICATIONS AS SIMULATION AND "DATA PROCESSING" WERE NOT COVERED IN THIS DOCUMENT. (LP)
Descriptors: Computer Programs, Computers, Data Analysis, Data Collection
Peer reviewed Peer reviewed
Dickinson, Terry L. – Educational and Psychological Measurement, 1976
Linear models are available for describing dominance and composition judgements. These models include parameters for the scale values of the stimuli, response order bias, and interaction between stimuli, all of which may be evaluated with analysis of variance procedures. (Author)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis, Mathematical Models
Peer reviewed Peer reviewed
Huck, Schuyler W.; Malgady, Robert G. – Educational and Psychological Measurement, 1978
The computation of F ratios from cell means and standard deviations is shown for a two-way analysis of variance. (JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Burstein, Leigh – Educational Researcher, 1978
The purpose of this paper is to state the reasons why secondary analysis serves an important function in educational research. (Author)
Descriptors: Data Analysis, Educational Research, Evaluation, Research Needs
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