Publication Date
| In 2026 | 1 |
| Since 2025 | 50 |
| Since 2022 (last 5 years) | 261 |
| Since 2017 (last 10 years) | 871 |
| Since 2007 (last 20 years) | 2101 |
Descriptor
| Data Analysis | 4053 |
| Data Collection | 4053 |
| Research Methodology | 840 |
| Foreign Countries | 651 |
| Higher Education | 576 |
| Educational Research | 546 |
| Evaluation Methods | 501 |
| Elementary Secondary Education | 473 |
| Program Evaluation | 383 |
| Models | 367 |
| Teaching Methods | 341 |
| More ▼ | |
Source
Author
| Ingels, Steven J. | 14 |
| Adams Becker, S. | 7 |
| Chandler, Kathryn | 7 |
| Gaševic, Dragan | 7 |
| Johnson, L. | 7 |
| Bernhardt, Victoria L. | 6 |
| Estrada, V. | 6 |
| Freeman, A. | 6 |
| Selwyn, Neil | 6 |
| Williamson, Ben | 6 |
| Blikstein, Paulo | 5 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 231 |
| Teachers | 168 |
| Researchers | 129 |
| Administrators | 105 |
| Policymakers | 87 |
| Students | 23 |
| Media Staff | 13 |
| Community | 12 |
| Parents | 12 |
| Support Staff | 4 |
| Counselors | 3 |
| More ▼ | |
Location
| Australia | 106 |
| United States | 72 |
| California | 65 |
| Turkey | 65 |
| Canada | 60 |
| United Kingdom | 57 |
| China | 40 |
| Florida | 40 |
| Texas | 39 |
| Pennsylvania | 36 |
| Massachusetts | 35 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Does not meet standards | 1 |
Peer reviewedFabry, Bernie D.; Reitz, Andrew L.; Luster, W. Clark – Education and Treatment of Children, 2002
This paper describes a data-based case study of a linked array of community-based treatment services for troublesome, dual-diagnosed children and adolescents. Factors in the program's successes are described, followed by long-term data supporting treatment effectiveness. Results support applied research at this level and present a simple…
Descriptors: Adolescents, Behavior Problems, Case Studies, Children
Peer reviewedBernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing
Delucci, Kevin L. – Moral Education Forum, 1989
Describes issues which are common to all research methodologies and some that were unique to the assessment techniques used in the Child Development Project (CDP) in San Ramon, California. Looks at the limited amount of time given assessments and the "fluid" nature of measurements. Notes that CDP issues involved observations,…
Descriptors: Child Development, Classroom Observation Techniques, Classroom Research, Data Analysis
Bocian, Kathleen; Newman, Sally – Journal of Children in Contemporary Society, 1989
Reasons for evaluating intergenerational programs are presented, and unique features and basic components of these evaluations are described. Strategies and methodologies used in the program evaluation process are systematically outlined. Careful and serious evaluation can provide insights into problem areas, successful program elements,…
Descriptors: Agency Cooperation, Children, Client Characteristics (Human Services), Data Analysis
Peer reviewedBryan, Elizabeth H. – Mathematics Teacher, 1988
This set of activity sheets requires students to organize and display data with a box-and-whiskers graph. Students use the plot as a summary display to detect patterns and to highlight the important features of the data for purposes of comparison. (PK)
Descriptors: Class Activities, Comparative Analysis, Data, Data Analysis
Peer reviewedCrump, Reva – Science Teacher, 1994
This activity uses ice crystals to introduce middle school and high school students to the collection, preparation, examination, and manipulation of scientific data. (PR)
Descriptors: Data Analysis, Data Collection, High Schools, Junior High Schools
Peer reviewedCooke, Nancy L.; And Others – Teacher Education and Special Education, 1991
This survey of 510 special education teachers found that most teachers collect, record, and use data on student performance to determine instructional effectiveness, appropriate time to move students to the next skill, and which objectives have been met. Only one-third of teachers used graphs for displaying and interpreting data. (Author/JDD)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Disabilities
Peer reviewedMathematics Teacher, 1992
Presents a worksheet on graph paper that allows students to determine the perpendicular bisectors of given segments by folding the paper. Students then determine the slopes of the perpendicular bisectors and use inductive thinking to discover the relationship between the slopes of perpendicular lines. (MDH)
Descriptors: Analytic Geometry, Data Analysis, Data Collection, Discovery Learning
Schloesser, Patricia; And Others – Child Abuse and Neglect: The International Journal, 1992
Birth and death certificates were correlated with information in the state Child Abuse and Neglect Registry on 104 abuse-related fatalities. Significant findings included young age of parents at first pregnancy; high rate of single parenthood; and lower educational achievement among mothers. A model for data collection is discussed. (Author/BRM)
Descriptors: Academic Achievement, Age Differences, Birth, Child Abuse
Peer reviewedThompson, W. Burt – Teaching of Psychology, 1994
Describes the use of a student-designed questionnaire to generate data for teaching statistical procedures and concepts. Maintains that students learn firsthand that data analysis is an integral part of the research process. Concludes that students find real data more interesting. (CFR)
Descriptors: Course Content, Course Descriptions, Data Analysis, Data Collection
Kapisovsky, Peggy M. – Media and Methods, 1990
Discussion of science and math instruction for elementary and secondary students highlights the use of microcomputer-based laboratories (MBL). Data collection, storage, and display are discussed, the use of databases to organize and manage information is described, and the exchange of ideas with other students through telecommunications is…
Descriptors: Computer Assisted Instruction, Computer Networks, Data Analysis, Data Collection
Peer reviewedEvans, Kenneth H. – Science Teacher, 1992
Describes an activity in which students examine hypothetical exposure to toxins by being showered by different colored pieces of confetti over several visits to exposure sites. Students record quantities of confetti that stick to packing tape. Colors correspond to different toxins posing different health problems. Students process their findings…
Descriptors: Chemistry, Data Analysis, Data Collection, Discussion (Teaching Technique)
Peer reviewedHutchison, Linda; Ellsworth, Judith; Yovich, Sharon – Early Childhood Education Journal, 2000
In a collaborative project, two mathematics education professors, a third-grade teacher, and her students collected information from the students as they thought through how to ask, collect, and then answer their own data-driven questions. Findings indicated the students exhibited a growing understanding, sophistication, and comfort with the use…
Descriptors: College School Cooperation, Cooperation, Data Analysis, Data Collection
Peer reviewedMonck, Mary – Science Scope, 2002
Discusses the development of a data analysis activity used with 8th grade students at the beginning of the school year. Groups of students collected a variety of data about a specific population. (DDR)
Descriptors: Biology, Data Analysis, Data Collection, Educational Strategies
Killion, Joellen; Bellamy, G. Thomas – Journal of Staff Development, 2000
Several Colorado schools hired data analysts to help with school improvement efforts. The analysts are teachers who participate on school leadership teams and who support school action research teams. They collect and organize baseline data, help teams measure results of proposed changes, and evaluate results after implementation. Because they are…
Descriptors: Action Research, Data Analysis, Data Collection, Decision Making

Direct link
