NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)0
Since 2007 (last 20 years)5
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 22 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gottfried, Michael A. – Journal of Educational Research, 2015
Advanced mathematics and science course taking is critical in building the foundation for students to advance through the STEM pathway-from high school to college to career. To invigorate students' persistence in STEM fields, high schools have been introducing applied STEM courses into the curriculum as a way to reinforce concepts learned in…
Descriptors: STEM Education, Program Effectiveness, Program Evaluation, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Rabitoy, Eric R.; Hoffman, John L.; Person, Dawn R. – Journal of Hispanic Higher Education, 2015
This study evaluated variables associated with academic preparation and student demographics as predictors of academic achievement through participation in supplemental instruction (SI) programs for community college students in Science, Technology, Engineering, and Math (STEM) fields. The findings suggest a differential impact of SI outcome for…
Descriptors: Supplementary Education, Demography, Academic Achievement, Predictor Variables
Wolanin, Natalie; Cooper-Martin, Elizabeth – Montgomery County Public Schools, 2016
The ACES program is a collaboration between MCPS, Montgomery College (MC), and the Universities at Shady Grove (USG) to create a seamless pathway from high school to college completion. ACES focuses on identifying and supporting students who are underrepresented in higher education, the first in their family to attend college, or both. In…
Descriptors: Public Schools, Comprehensive Programs, College School Cooperation, College Preparation
Theodos, Brett; Pergamit, Michael R.; Hanson, Devlin; Edelstein, Sara; Daniels, Rebecca – Urban Institute, 2016
Urban Alliance serves at-risk youth through its high school internship program, which provides training, mentoring, and work experience to high school seniors from distressed communities. The program aims to help youth move on to higher education or employment after graduation. The Urban Institute is conducting a six-year, randomized controlled…
Descriptors: Program Evaluation, Youth Programs, At Risk Students, High School Students
Hammer, Patricia Cahape; Hixson, Nate – West Virginia Department of Education, 2014
This is the first of three evaluation reports on the effectiveness of a regional train-the-trainer strategy to support classroom implementation of the Next Generation Content Standards and Objectives (NxGen CSOs). This report focuses on six regional Educator Enhancement Academies (EEAs) hosted by the eight regional education service agencies…
Descriptors: Trainers, Program Effectiveness, Program Evaluation, Teacher Educator Education
Peer reviewed Peer reviewed
Smith, Nick L. – Evaluation and Program Planning: An International Journal, 1979
Three standard techniques for the analysis of geographic data are presented and their use in evaluation is discussed. These three techniques are: geocode analysis, trend surface analysis, and social area or ecological analysis. (CTM)
Descriptors: Cluster Analysis, Data Analysis, Demography, Environmental Influences
Peer reviewed Peer reviewed
Iverson, Maynard J.; And Others – Journal of the American Association of Teacher Educators in Agriculture, 1982
Describes a study of vocational agriculture programs in the southern United States to determine the impact these programs have on students. Data were analyzed to determine if categories of responses could be identified and if a significant relationship existed between these categories and the demographic variables. (CT)
Descriptors: Agricultural Education, Data Analysis, Data Collection, Demography
Hoachlander, Gary – Education Statistics Quarterly, 2000
Suggests a possible agenda for data collection for the Data on Vocational Education (DOVE) system over the next 5 to 10 years, examining two major categories of information: program outcomes, including student achievement and participation in further education and the labor force; and program characteristics, including attributes of programs and…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Demography
West Virginia Research Coordinating Unit for Vocational Education, Huntington. – 1982
These procedural guidelines contain a "how to do it package" with sample forms, procedures, and techniques that a local vocational education program administrator can use to conduct a comprehensive needs assessment. It is divided into five modules, each covering a different phase of the process so that the local administrator can undertake the…
Descriptors: Data Analysis, Demography, Educational Needs, Educational Resources
Smith, Marshall S. – 1973
This preliminary report evaluates the second year, 1970-71, of Head Start Planned Variation (HSPV), covering research methodology, description of the models, characteristics of the children, classrooms and sites, estimated overall effects of the Head Start experience, differences in the effects of PV and comparison classrooms, and short term…
Descriptors: Achievement Gains, Comparative Analysis, Compensatory Education, Curriculum Evaluation
Peer reviewed Peer reviewed
Feather, John – Evaluation and Program Planning: An International Journal, 1982
Three types of macro-level variables for program analysis--cultural, economic and demographic--provide a context for evaluation and offer alternative explanations for program success or failure. The problems of causality and availability of data, as well as the usefulness of macro variables in meta evaluation are discussed. (Author/CM)
Descriptors: Cultural Context, Data Analysis, Demography, Economic Factors
Starr, Harold; And Others – 1979
This manual is a resource of ideas and suggestions for comprehensive statewide planning of vocational education. It is directed toward both experienced and inexperienced vocational education planners. The data analysis and display techniques presented are useful for producing information for developing state plans and for communicating data-based…
Descriptors: Census Figures, Data Analysis, Demography, Guides
Silverberg, Marsha – Education Statistics Quarterly, 2000
Discusses the role of the Data on Vocational Education (DOVE) system in planning for policy formation in vocational education. DOVE's strengths lie in providing information on national trends in enrollment and course taking and in drawing on longitudinal data that allow rigorous analysis of impacts of vocational education. (SLD)
Descriptors: Data Analysis, Data Collection, Demography, Educational Attainment
Bachrach, Kenneth M.; Zautra, Alex – 1978
Use of client records and census data as a research methodology can provide mental health planners with information on community needs as well as the adequacy of existing programs. Three ways of analyzing client records in conjunction with census data are: (1) tract by tract, comparing client geographic distribution with census characteristics;…
Descriptors: Adults, Case Records, Census Figures, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Rasmussen, Claudette; Hopkins, Susan; Fitzpatrick, Michele – Journal of Staff Development, 2004
A carefully developed, comprehensive professional development plan takes time, energy, and coordination of resources, but when it's done well, it can seem as effortless as a perfectly pitched curve ball. Seven steps, each with a set of guiding questions, can help planners meet the goal and create a program that produces results. [Appended to this…
Descriptors: Staff Development, Educational Planning, Guides, Program Effectiveness
Previous Page | Next Page ยป
Pages: 1  |  2