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Callison, Daniel; Haycock, Gloria – Educational Technology, 1988
Describes a methodology for student involvement in courseware evaluation and for utilizing student reactions in purchasing and implementation decisions. The evaluation forms used in a survey of 2,308 Indiana students are presented, and the results of that survey are discussed. (18 references) (CLB)
Descriptors: Computer Assisted Instruction, Courseware, Data Interpretation, Elementary Secondary Education
Peer reviewedBurn, Christopher R.; Fox, Michael F. – Journal of Geography, 1986
Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)
Descriptors: Data Interpretation, Geography Instruction, Higher Education, Learning Activities
Peer reviewedJournal of Industrial Teacher Education, 1986
This article reviews and analyzes the literature from 1980 through 1983 dealing with summative evaluation of training and development efforts in industry and business. An analysis is made to determine to what extent evaluation process components used by professional program evaluators are addressed by each of the articles reviewed. (CT)
Descriptors: Data Interpretation, Decision Making, Employment Qualifications, Evaluation Methods
Dionisio, Maria de Lourdes – 2001
In Portugal, the word "literacy" acquired public importance in October 1995, in the first national literacy assessment report. In the last few years, "reading habits" and not "literacy" became a privileged research object, and it is the amount and kind of reading that is being measured, with the results taken as…
Descriptors: Data Interpretation, Foreign Countries, Higher Education, Literacy
Lightburn, Millard E.; Fraser, Barry J. – 2002
The study involved implementing and evaluating activities that actively engage students in the process of gathering, processing and analyzing data derived from human body measurements, with students using their prior knowledge acquired in science, mathematics, and computer classes to interpret this information. In the classroom activities…
Descriptors: Academic Achievement, Biology, Classroom Environment, Data Collection
Peer reviewedParker, R. Andrew – Urban Studies, 1997
Examines census data from five major U.S. metropolitan areas relative to age-adjusted, per capita receipt of funds that show spending in central cities increasing at a faster rate than in their suburbs. It notes concerns of direct payments to individuals that are not need-based and with direct loans and insurance programs that strongly favor the…
Descriptors: Census Figures, Comparative Analysis, Data Interpretation, Federal Aid
Peer reviewedRichards, Stephen B.; Taylor, Ronald L.; Ramasamy, Rangasamy – Psychology in the Schools, 1997
Using the split-middle methods of trend estimation, evaluates the accuracy of interpretation of single subject data by comparing raters' visual analysis of behavior change with statistical determination of behavior change. Results indicate visual analysis accuracy was less than chance. Rater and student characteristics largely did not affect the…
Descriptors: Data Analysis, Data Interpretation, Inferences, Research Problems
Peer reviewedLopez, Alejandra M. – Educational Researcher, 2003
Examines data on racial identification from the 2000 Census to document the mixed race population of children in the United States. Using California data as an example, the article considers various methods for tabulating multiple-response race data, noting the impact of each on demographic conclusions. Discusses how federal guidelines on race…
Descriptors: Census Figures, Children, Data Collection, Data Interpretation
Peer reviewedLincoln, Yvonna S. – Library & Information Science Research, 2002
Describes a study that used interview data to adapt SERVQUAL, a survey to determine customer perceptions of service quality, to LibQUAL[TM], a Web-based survey to investigate users' perceptions of library service quality. Offers hypotheses regarding how data was categorized as it was. (Author/LRW)
Descriptors: Data Interpretation, Interviews, Library Research, Library Services
Peer reviewedAllen, Ray – Journal of Physical Education, Recreation & Dance, 2002
Describes a model used by Michigan school districts, in collaboration with Michigan State University, in ongoing program- improvement efforts. The model is intended to help physical education leaders systematically address assessment of core program objectives, collect accurate data that directly affects instruction, then aggregate the data and…
Descriptors: Data Collection, Data Interpretation, Elementary School Students, Elementary Secondary Education
Peer reviewedBrimijoin, Kay; Marquissee, Ede; Tomlinson, Carol Ann – Educational Leadership, 2003
Asserts that collecting assessment data from students is key to shaping effective instruction. Both informal and formal data about student learning not only shape instruction but also determine its effectiveness. Contends that continuous assessment that drives curriculum is a means of enhancing student and teacher performance. (Contains seven…
Descriptors: Academic Achievement, Data Collection, Data Interpretation, Educational Assessment
Peer reviewedPigg, Kenneth E. – Journal of the Community Development Society, 1990
A quantitative approach to accountability in community development ignores important aspects of the process, and a qualitative approach often fails to demonstrate to the public community development's impact. The use of interpretive methods, such as those used in the natural resources and recreation fields, can help people understand community…
Descriptors: Accountability, Community Development, Data Interpretation, Information Utilization
Peer reviewedBrown, Richard; Davis, Gretchen – Mathematics Teacher, 1990
Presents an activity considering whether a difference exists in the age of Oscar winners. Describes how to draw a stem plot and a box plot as an example of implementing the recommendations of the NCTM Standards. Provides tables showing the name, movie titles, and ages of the Oscar winners since 1928. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics
Peer reviewedMunger, Gail F.; And Others – Research in Developmental Disabilities, 1989
A study of the reliability of teacher's interpretations of graphed performance data on students with moderate to profound mental retardation revealed that teacher judgments are consistent and accurate for continuous improvement in performance, but less consistent for variable performance. (MSE)
Descriptors: Data Interpretation, Decision Making, Graphs, Mental Retardation
Peer reviewedFok, Lillian Y.; And Others – Journal of Education for Business, 1995
Discusses the nature, power, and limitations of four multivariate techniques: factor analysis, multiple analysis of variance, multiple regression, and multiple discriminant analysis. Shows how decision trees assist in interpreting results. (SK)
Descriptors: Business Administration Education, Data Interpretation, Discriminant Analysis, Factor Analysis


