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Roberts, Patricia M.; Meltzer, Ann; Wilding, Joanne – Journal of Communication Disorders, 2009
Data on disfluencies in the speech of non-stuttering adults are relevant to several aspects of the assessment and treatment of adults who stutter. Currently, very few sources provide relevant data. In the existing literature on normally fluent speakers, there is no consistency in sample length or topic or in which types of disfluency are counted.…
Descriptors: Speech, Stuttering, Communication Disorders, Males
Peer reviewedBorman, Stuart A. – Analytical Chemistry, 1985
Discusses various aspects of scientific software, including evaluation and selection of commercial software products; program exchanges, catalogs, and other information sources; major data analysis packages; statistics and chemometrics software; and artificial intelligence. (JN)
Descriptors: Artificial Intelligence, Chemistry, College Science, Computer Software
Peer reviewedSmith, Mike U. – Journal of College Science Teaching, 1994
Identifies and explains some of the crucial elements of team research and data analysis, points out common pitfalls, and makes some helpful suggestions. Sections include general recommendations and communicating in statistical language. (ZWH)
Descriptors: Cooperative Planning, Data Analysis, Higher Education, Research
Peer reviewedMann, Charles C. – Science, 1994
Describes how the statistical technique of meta-analysis can be used to help resolve conflicting studies in social sciences. (ZWH)
Descriptors: Data Analysis, Educational Research, Higher Education, Meta Analysis
Peer reviewedShukla, Shyam S.; Rusling, James F. – Analytical Chemistry, 1984
Discusses how computational errors arise in analysis of data and how they can be minimized. Shows that all computations are subject to roundoff/truncation errors and how such errors are propagated and influence the stability and condition of a reaction. Applications to procedures used in analytical chemistry are addressed. (JN)
Descriptors: Chemical Analysis, Chemistry, College Science, Computation
Peer reviewedRivizzigno, Victoria L. – Journal of Geography, 1980
Emphasizes the importance of computer instruction and statistical methods and suggests ways in which instructors of geography on the college level can alleviate student fears. Tips include discussing geography as a science, explaining the relevance of the scientific method to a specific research problem in geography, and introducing problem…
Descriptors: Attitude Change, Computers, Data Analysis, Fear
Jones, Dennis P. – 1982
Data and information needs of college administrators are discussed, along with the uses of information to support decisionmaking. Difficulties in applying information technology to the administration of higher education are briefly reviewed. Data and information are discussed both in definitional and functional terms. Data are defined as either…
Descriptors: College Administration, Data Analysis, Decision Making, Higher Education
Peer reviewedShannon, A. G. – International Journal of Mathematical Education in Science and Technology, 1979
The semantic differential--one approach to attitude measurement--basically records a combination of a person's associations with a particular concept with a scaling procedure. This paper considers the implications of such a device for teachers of mathematics. (Author/MK)
Descriptors: Attitude Measures, Attitudes, Data Analysis, Elementary Secondary Education
Peer reviewedTan, H. S.; Jones, W. E. – Journal of Chemical Education, 1989
Offers an improvement over the least-square method that is particularly applicable to fitting the Beer-Lambert equation. Provides typical data and the corresponding graphs. Lists six references. (YP)
Descriptors: Chemistry, College Science, Data Analysis, Higher Education
Peer reviewedBarbella, Peter – Mathematics Teacher, 1987
Presented are two examples including data sets for which calculating various elementary statistics will reveal something new about the data. The objective of these examples is to show the student what various statistics may reveal, or not reveal, about a given data set. (PK)
Descriptors: Data, Data Analysis, Mathematical Applications, Mathematics Education
Adams, Richard C. – Computing Teacher, 1984
Describes the Monthly Data Grapher, a microcomputer program which helps visualize data to discern patterns and which is suitable for use with elementary school children. Some of its uses are noted and the microcomputer program itself is included. (MBR)
Descriptors: Computer Programs, Data Analysis, Elementary Education, Experiential Learning
Peer reviewedSzetela, Walter; Beattie, Ian D. – Mathematics Teacher, 1991
An example of real-world data is used to introduce comprehensible and visual images of the data and their attributes and relationships. Stem-and-leaf plots, box-and-whisker plots, and scattergrams are used to encourage prompt recognition of data characteristics and to effect appropriate interpretations and inferences. (JJK)
Descriptors: Data Analysis, Data Collection, Graphs, High Schools
Goldsamt, Milton R.; And Others – 1983
Third in a series, the monograph summarizes the key evaluation issues, design approaches, and statistical techniques used in conducting the 1980-1983 impact evaluation of Indian Education Act Title IV Part A programs. The monograph describes the major problems in evaluating the program to determine the degree of its positive contribution to…
Descriptors: American Indian Education, Data Analysis, Data Collection, Evaluation Methods
Mitton, Roger – 1982
The linking of research and action, basic methods of social research, and the uses of research in distance teaching are examined, with examples drawn from the Lesotho Distance Teaching Centre and other distance teaching programs. Ways in which research can be useful and early stages of research design and planning are discussed. An explanation of…
Descriptors: Data Analysis, Data Collection, Developing Nations, Distance Education
Wall, Charles R. – InCider, 1987
Discusses some of the myths surrounding grading on the curve. Provides a simple explanation of such statistical terms as histograms, relative frequency, normal distribution, mean, and standard deviation. Describes how to restructure the curve, including the program listing for a computer program that will assist the teacher. (TW)
Descriptors: Computer Oriented Programs, Computer Software, Computer Uses in Education, Data Analysis

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