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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 reviewed Peer reviewed
Parker, 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 reviewed Peer reviewed
Richards, 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 reviewed Peer reviewed
Lopez, 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 reviewed Peer reviewed
Lincoln, 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 reviewed Peer reviewed
Allen, 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 reviewed Peer reviewed
Brimijoin, 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 reviewed Peer reviewed
Pigg, 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 reviewed Peer reviewed
Brown, 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 reviewed Peer reviewed
Munger, 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 reviewed Peer reviewed
Fok, 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
Peer reviewed Peer reviewed
Harwell, Michael R.; And Others – Journal of Educational Statistics, 1992
Implications of metanalytic results from Monte Carlo studies of the robustness of the F test in the one- and two-factor fixed effects analysis of variance (ANOVA) models and Monte Carlo results for the B. L. Welch (1947) and Kruskal-Wallis (1952) tests are discussed. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Mathematical Models, Meta Analysis
Taylor, Bruce – School Business Affairs, 1994
Five comparative data traps repeatedly come up during school negotiation sessions: (1) average salary comparisons; (2) vague salary comparisons; (3) low master's guide; (4) considering salary only; and (5) comparing benefits. Provides examples and outlines a defense against these data traps. (MLF)
Descriptors: Collective Bargaining, Data Interpretation, Elementary Secondary Education, Fringe Benefits
Peer reviewed Peer reviewed
Theall, Michael; Franklin, Jennifer – New Directions for Teaching and Learning, 1991
For student rating data to be useful in improving college teaching, consultants and faculty need to know how different evaluative purposes effect evaluation results, and they must be able to interpret and use the data at hand. A series of steps should be followed to help ensure valid data interpretation. (MSE)
Descriptors: College Instruction, Data Interpretation, Faculty Evaluation, Feedback
Buchanan, David R. – Health Education Quarterly, 1992
In a study of the relationship between moral reasoning and teenage drug use, problems arose in an attempt to reduce qualitative data to a quantitative format: (1) making analytic sense of singular and universal responses; (2) the mistaken logical inference that each pattern of judgment should have behavioral indicators; and (3) construction and…
Descriptors: Adolescents, Data Interpretation, Illegal Drug Use, Inferences
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