A description is given of the process of developing a casebook prototype that combined vignettes, collected from 22 mentor teachers, by experienced teachers with theoretical knowledge. Use of cases in inservice teacher education and other areas of educator education are discussed. A sample case is included. (IAH)

Describes data analysis activities for grades three through six using unshelled peanuts. Includes two reproducible student worksheets. (MKR)

Describes some mathematical investigations of the necktie which includes applications of geometry, statistics, data analysis, sampling, probability, symmetry, proportion, problem solving, and business. (MKR)

Describes exploratory data analysis activities using packages of M&M candies and graphing results using object graphs, picture graphs, symbolic graphs, circle graphs, relative-frequency bar graphs, and stacked bar graphs. Also discusses pooling data and assessing reasonableness of results. (MKR)

The authors of EC 610 841 comment on problems encountered in their research, such as difficulties in analyzing interview data, and discuss their ongoing three-year study of personal and environmental influences affecting attrition of special education teachers. (DB)

Demonstrates how a phenomenographic approach was used to reveal the qualitatively different ways in which 60 children aged 8 through 16 in Australian primary and secondary education understood the phenomenon of graphic representation of quantitative data. Seven variations of understanding were revealed. (SLD)

Presents activities that center on the excitement of going back to school by collecting and analyzing data and exploring probabilities. Contains reproducible student worksheets. (MKR)

The six articles of this issue discuss the place of meta-analysis in the health professions and present two state-of-the-art meta-analyses using a variety of innovative methodologies, statistics, and secondary analytic procedures. A survey conducted for this issue and its sequel explores interventions to facilitate meta-analysis. (SLD)

Describes the planning for educational technology implemented by the Unionville-Chadds Ford School District (Pennsylvania), including data collection; data analysis; screening and deciding on goals; activities to reach the goals; and evaluation and future planning. The district's mission statement for technology and further recommendations for…

The REDSIL model for ongoing evaluation of gifted education programs involves interviewing stakeholders, isolating and categorizing critical study issues, designing a data collection plan that uses several forms of qualitative methods, implementing the plan, analyzing data, searching literature relative to each issue, analyzing data again, and…

There are several points to be considered to prevent misuse when integrating microcomputing into the assessment process. Computerizing an activity does not automatically improve that activity. Computer use is appropriate for computing test scores and storing student data but not for interpreting data. (JDD)

This paper compares the results of National Center for Education Statistics (NCES) and the Carnegie surveys of postsecondary faculty and notes the differently constructed samples, the different response rates, and different weighting schemes in analysis and interpretation. Inconsistencies in the surveys' results are identified and methodological…

Reviews a monograph by Census Bureau and private-sector researchers that attempts to give an overview of important characteristics of the U.S. Indian population and to explain problems in census data collection and interpretation. Discusses the ongoing difficulties related to identification of American Indians and implications for the…

Presents data from a content analysis of mathematics textbooks for grades 1-8 showing that content areas were not evenly distributed throughout the texts and cautions against following a text in sequential order, which may cause students to miss important material. Includes a list of supplemental books and manipulatives. (MKR)

It is proposed that proportional reduction in loss (PRL) be used as a theoretical basis to derive, justify, and interpret reliability measures to gauge reliability on a zero-to-one scale. This PRL approach simplifies the interpretation of existing measures (e.g., generalizability-theory measures). (SLD)