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Perkins, Kyle; And Others – 1985
A study was carried on to analyze a data set in order to determine whether evidence can be found to support or refute the unitary factor hypothesis of language proficiency, which asserts that there is a single language dimension or factor underlying different language tests. The subjects were 50 advanced adult learners of English as a second…
Descriptors: Adult Learning, Data Interpretation, English (Second Language), Foreign Countries
Tracey, Richard – 1985
Ways to interpret data from student ratings of teacher performance and approaches to maximize the use of student ratings are considered, based on the experiences of the Center for Instructional Development and Research (CIDR) at the University of Washington (UW). The use of student ratings at UW and other colleges is briefly considered, along with…
Descriptors: Data Interpretation, Evaluation Utilization, Graduate Students, Higher Education
Ellis, Diane C. – 1987
This report, based on data from the 1980 U.S. Bureau of the Census, examines the geographic locations of artists and summarizes the numbers of artists and their basic characteristics for each state and the major Standard Metropolitan Statistical Areas (SMSA). It also compares 1970 and 1980 populations of employed artists in each state and presents…
Descriptors: Artists, Data Analysis, Data Interpretation, Geographic Distribution
Peer reviewedChristal, Melodie E.; Wittstruck, John R. – New Directions for Institutional Research, 1987
Data on which to base interinstitutional comparisons can be obtained directly from institutions or from a variety of secondary and tertiary sources such as national surveys, statistical publications, newsletters, directories, and organizations. Lists of these sources are included. (MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Data Interpretation
Peer reviewedGuyton, Edith M. – Social Education, 1985
One aspect of children's daily lives--the school itself--is often ignored as a source of readily available data for student activities. School-based research activities that require students to collect, organize, and interpret data are described. For example, students conduct research on how students travel to and from school?
Descriptors: Data, Data Collection, Data Interpretation, Elementary Education
Peer reviewedFinkelstein, Judy; And Others – Social Education, 1985
How museums have changed to accommodate young children is described, the importance of pre-visit preparations is discussed, and strategies and activities to enhance the concepts gained from museum experiences are presented. (RM)
Descriptors: Community Resources, Data, Data Collection, Data Interpretation
Peer reviewedNelli, Elizabeth – Social Education, 1985
Folktales as reflections of a culture provide many kinds of information for social studies that are unmatched in the elementary school. However, teachers must be alert to the potential of folktales to present unintended or erroneous information. (RM)
Descriptors: Books, Cross Cultural Studies, Cultural Awareness, Data
Peer reviewedJones, Ann; Preece, Jenny – Computers and Education, 1986
Describes research in two different domains: novices learning programing, and school pupils interpreting Cartesian graphs. Findings in each domain are discussed, but the main focus is an examination of the extent to which general principles and issues apply across both domains. Research implications for instructional design are discussed.…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Secondary Education, Epistemology
Suzuki, Lisa A., Ed.; Meller, Paul J., Ed.; Ponterotto, Joseph G., Ed. – 1996
This handbook brings together contributions by scholars in the areas of psychometrics, assessment, and evaluation who have expertise in the application of testing and assessment in multicultural environments. The book provides a comprehensive view of various cultural issues and offers updated information pertaining to the usage of major…
Descriptors: Clinical Diagnosis, Data Interpretation, Educational Assessment, Evaluation Methods
Hom, Willard – 2000
This study used 1994 data from the California Community College System cohort of first-time freshmen to identify that part of University of California (UC) or California State University (CSU) transfer performance that is determined by factors outside the control of college administrators. The idea was to "level the playing field" when…
Descriptors: Cohort Analysis, Community Colleges, Comparative Analysis, Data Interpretation
Peer reviewedPedersen, Susan – Journal of Early Intervention, 2003
This article discusses alternative analyses that reflect the practical significance of test results and the role of sample size in the interpretation of results. It explores effect size reporting and using "what if" analyses to reflect on the role of sample size in the decision to accept the null hypothesis. (Contains references.) (Author/CR)
Descriptors: Data Interpretation, Disabilities, Early Childhood Education, Educational Research
Peer reviewedSchmoker, Mike – Educational Leadership, 2003
Calls for simplicity when presenting data on student achievement. Data should help teachers improve teaching and learning, and focus on specific goals such as determining how many students are succeeding in a subject and, within that subject, what are the areas of strength or weakness. (Contains 22 references.) (WFA)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Peer reviewedPhillips, Linda L.; Lyons, William – College and Research Libraries, 1990
Illustrates the use of factor analysis in interpreting large sets of data. Describes how factor analysis of a 19-question survey revealed faculty opinions about library policies for (1) computerized access; (2) circulation; (3) specialized collections/services; and (4) the general collection. A characterization of each category is followed by…
Descriptors: Academic Libraries, Administrative Policy, Data Analysis, Data Interpretation
Peer reviewedJohnson, John R. – American Indian Culture and Research Journal, 1988
Examines common sources of error for scholars using mission registers to study California Indian history. Draws examples from mission register studies of the Chumash tribe to illustrate problems resulting from missing entries, name changes, linguistic errors, and cross-cultural confusion about naming taboos and kin relationships. Contains 34…
Descriptors: American Indian History, American Indians, Anthropology, Data Interpretation
Peer reviewedGartrell, John; Marquez, Stephanie Amadeo – Alberta Journal of Educational Research, 1995
Criticizes data analysis and interpretation in "The Bell Curve:" Herrnstein and Murray do not actually study the "cognitive elite"; do not control for education when examining effects of cognitive ability on occupational outcomes, ignore, cultural diversity within broad ethnic groups (Asian Americans, Latinos), ignore gender…
Descriptors: Cognitive Ability, Data Interpretation, Educational Attainment, Educational Status Comparison


