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Peer reviewedCaballero, Julio F.; Harris, Delphia F. – Journal of Chemical Education, 1998
Shares examples of reports of uncertainties that exceed the guideline of one or two significant figures. Points out that scientists should take great care in deciding on the appropriate form for reporting their results. (DDR)
Descriptors: Chemistry, Concept Formation, Data Analysis, Error of Measurement
Peer reviewedLassiter, Debbie – Montessori Life, 2000
Discusses the foundations of recordkeeping learned in a group analysis of achievement test data for a Montessori school, including having a student database and numbering system, and recording achievement test results. Describes ways to analyze achievement test results, chart results, use charts to identify trends across school years, and conduct…
Descriptors: Academic Achievement, Achievement Tests, Data Analysis, Elementary Education
Peer reviewedBoersma, Stuart; Hluchy, Michele; Godshalk, Gordon; Crane, Johanna; DeGraff, David; Blauth, James – Journal of College Science Teaching, 2001
"How the World Works" is an interdisciplinary science and mathematics course in which students design and perform their own experiments, analyze the data, and present their results orally and in writing. Evaluations indicate that most students learn how to do science and gain a better appreciation for science as a process. (SAH)
Descriptors: Course Descriptions, Data Analysis, Higher Education, Interdisciplinary Approach
Peer reviewedStock, William A.; And Others – Evaluation and the Health Professions, 1996
Guidelines are offered that make it more likely that high-quality information will be extracted and coded from primary research reports in meta-analyses. It is also noted that the methodology of meta-analysis results in pressure to change the type of information that appears in primary research reports. (SLD)
Descriptors: Coding, Data Analysis, Data Collection, Information Needs
Peer reviewedLevy, Rona L. – Research on Social Work Practice, 1996
Responds to Rubin and Knox's (1996) article concerning data analysis in single-case evaluations. Refutes the assertion that ambiguous data patterns discourage clinicians from doing single-case evaluations, and questions the assertion that emphasis on single-case designs should be reduced in the social work curriculum. (JPS)
Descriptors: Data Analysis, Data Interpretation, Education, Evaluation Methods
Peer reviewedMacDonald, Ross B.; O'Hear, Michael F. – Journal of Developmental Education, 1996
Provides the second half of an extensive study examining research in developmental education, evaluating the quality of the research based on a sample of 52 randomly selected articles and conference presentations. Discusses problems encountered in the studies related to the design implementation, and analysis of results from research. (33…
Descriptors: Data Analysis, Developmental Programs, Educational Research, Evaluation Research
Peer reviewedParish, Susan L.; Braddock, David; Hemp, Richard; Rizzolo, Mary C. – Mental Retardation, 2000
Analysis of data on family support services and spending for individuals with developmental disabilities presents information on cash subsidy payments, respite care, and other family support. A graph shows U.S. spending for family support, 1986-1998. Additional tables break down subsidy spending for family support services by state in 1998 and…
Descriptors: Data Analysis, Developmental Disabilities, Family Needs, Financial Support
Peer reviewedBurchinal, Margaret R.; Roberts, Joanne E.; Hooper, Stephen; Zeisel, Susan A. – Developmental Psychology, 2000
Examined analytic methods for describing children's social risk. Found that the individual-risk-variables approach provided better overall prediction of developmental outcomes at a particular age. The risk-factor approach provided good prediction of developmental trajectories with moderate to large sample sizes. The risk-index was useful for…
Descriptors: At Risk Persons, Child Development, Cognitive Development, Comparative Analysis
Peer reviewedFischer, Kurt W.; Pare-Blagoev, Juliana – Child Development, 2000
Suggests ways to use dynamic systems analysis to illuminate the pluralistic and multidimensional model described by Larivee, Normandeau, and Parent (2000). Issues discussed include the characteristics of developmental transitions, such as hysteresis; nature of growth processes, such as hierarchical development or predator-prey interactions; and…
Descriptors: Child Development, Children, Cognitive Development, Data Analysis
Peer reviewedSchliemann, Analucia D. – Journal of the Learning Sciences, 2002
Considers individual students' progress as they use tools, discuss data distributions, and interact with teachers and their peers. Suggests that data display tools provide a partial context for discussions but do not constrain the students' interpretations or the way they reason about the data. (Author/MM)
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Data Interpretation
Peer reviewedMcCartney, Kathleen; Rosenthal, Robert – Child Development, 2000
Shares three ideas concerning how to evaluate the practical importance of developmental findings to make them more useful to policymakers: (1) statistical significance tests need to be accompanied by effect size estimates; (2) meta-analyses are helping in using all existing data when examining issues involved in policy debates; and (3) researchers…
Descriptors: Child Development, Data Analysis, Developmental Psychology, Effect Size
Peer reviewedMathews, Susann – Ohio Journal of School Mathematics, 2000
Presents some examples illustrating the importance of probability, data analysis, and statistics for the preservice mathematics teacher, and suggests ways of teaching these topics. (Contains 13 references.) (ASK)
Descriptors: Data Analysis, Elementary Secondary Education, Knowledge Base for Teaching, Mathematics Education
Wellman, Bruce; Lipton, Laura – Journal of Staff Development, 2000
Teachers' quests for more data-based planning, problem solving, and decision making often stumble against limited capacities for engaging in thoughtful interactions, with groups typically lacking process tools, collaborative communication skills, and reflective habits. This article presents a three-phase model for guiding data-driven dialogue in…
Descriptors: Communication Skills, Data Analysis, Elementary Secondary Education, Group Dynamics
Peer reviewedRust, Val D.; Soumare, Aminata; Shibuya, Megumi; Pescador, Octavio – Comparative Education Review, 1999
Research strategies related to data collection and data analysis were identified through content analysis of 427 articles in three comparative-education journals, published between 1985 and 1995, and 112 articles published between 1964 and 1966. In recent years, the strategies used have become more diverse, the geographic focus of research has…
Descriptors: Comparative Education, Data Analysis, Data Collection, Educational Research
Peer reviewedMorgan, Betsy Levonian – Teaching of Psychology, 2001
Describes the benefits of an activity in which students analyze a data set comprised of information from obituaries found in local newspapers. The activity combines two instructional approaches: (1) hands-on learning; and (2) generalizing underlying principles to new situations. Discusses the outcomes of student learning from the activity. (CMK)
Descriptors: Data Analysis, Educational Benefits, Educational Strategies, Experiential Learning

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