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Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Reporting Data with "Over-the-Counter" Data Analysis Supports Increases Educators' Analysis Accuracy
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis
Frederick, Karen; Barnard-Brak, Lucy; Sulak, Tracey – International Journal of Research & Method in Education, 2012
There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…
Descriptors: Autism, Statistical Analysis, Pervasive Developmental Disorders, Disproportionate Representation
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Bracey, Gerald W. – Educational Leadership, 2006
Education statistics are rarely neutral; those who collect and analyze them have different purposes. In this article, Bracey discusses several principles of data interpretation to help educators avoid falling into statistical traps. For example, because such reports as A Nation At Risk contain many "selected, spun, distorted, and even manufactured…
Descriptors: Educational Research, Statistical Data, Data Interpretation, Statistical Analysis

Burn, 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

Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
Hantman, Irene; Bairu, Ghedam; Barwick, Annette; Smith, Bill; Mack, Bunny; Meston, Susan; Rocks, Linda; James, Brad – 2002
Collecting and using incident data are essential steps for creating safe schools. ("Incidents" are anything from criminal acts to minor problem behaviors that disrupt the orderly functioning of schools and classrooms.) With good data, it is possible to develop effective prevention and intervention plans. This handbook presents the…
Descriptors: Crime Prevention, Data Collection, Data Interpretation, Databases
Johnston, Denis F. – 1981
This guide is designed to assist those readers of "The Condition of Education" and similar reports who may lack experience or confidence in reading and understanding statistical information. It serves four purposes (1) identifies and describes the principal features of statistical tables and charts; (2) presents a few illustrations of…
Descriptors: Charts, Data Interpretation, Educational Indicators, Educational Research
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection
Council of Ontario Universities, Toronto. Research Div. – 1991
This publication provides macro-indicators and complementary analyses and supporting data for use by policy and decision makers concerned with Ontario universities. These analytical tools are meant to unambiguously measure what is taking place in Canadian postsecondary education, and therefore, assist in focusing on what decisions need to be made.…
Descriptors: Data Interpretation, Decision Making, Educational Planning, Educational Policy
Wine, Jennifer S.; Whitmore, Roy W.; Heuer, Ruth E.; Biber, Melissa; Pratt, Daniel J. – 2000
This report describes the methods and procedures used for the full-scale data collection effort of the Beginning Postsecondary Students Longitudinal Study First Follow-Up 1996-98 (BPS:96/98). These students, who started their postsecondary education during the 1995-96 academic year, were first interviewed during 1996 as part of the National…
Descriptors: College Students, Comparative Analysis, Data Interpretation, Enrollment
Braveman, Paula; Bennett, Trude – 1993
The guide is based on project reports by the San Francisco Department of Public Health to improve and monitor perinatal health and children's health. These reports demonstrated the potential of information to help community advocacy groups, service providers, and program planners identify priorities for policy decisions and resource allocation.…
Descriptors: Advocacy, Child Advocacy, Child Health, Community Health Services
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