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Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Balu, Rekha; Porter, Kristin – MDRC, 2017
Many low-income young people are not reaching important milestones for success (for example, completing a program or graduating from school on time). But the social-service organizations and schools that serve them often struggle to identify who is at more or less risk. These institutions often either over- or underestimate risk, missing…
Descriptors: Low Income Groups, At Risk Students, Youth Programs, School Role
National Centre for Vocational Education Research (NCVER), 2016
This work asks one simple question: "how reliable is the method used by the National Centre for Vocational Education Research (NCVER) to estimate projected rates of VET program completion?" In other words, how well do early projections align with actual completion rates some years later? Completion rates are simple to calculate with a…
Descriptors: Vocational Education, Graduation Rate, Predictive Measurement, Predictive Validity
Smith, Peter, Ed. – Association Supporting Computer Users in Education, 2015
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…
Descriptors: Workshops, Administrators, Educational Games, Access to Information
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Peer reviewedHinrichs, John R. – Journal of Applied Psychology, 1978
Forty-seven individuals evaluated in a management assessment center in 1967 were followed up eight years later. While the validity of this specific assessment center for predicting advancement appears adequate, additional research is desirable to evaluate the ability to predict performance in management. (Author/IRT)
Descriptors: Administrators, Evaluation Methods, Followup Studies, Predictive Measurement
Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
Mauch, James E.; And Others – 1970
Fundamental problems in the collection and use of data, in particular the need to develop and use criteria for data, are discussed. Specific examples of the use and misuse of data related to teachers and children in the public schools are presented. Two methods of data collection--manifest techniques and formal response instruments--are evaluated…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
DUBOIS, PHILIP H.; WIENTGE, KING M. – 1966
THE TOPICS OF EIGHT CONFERENCE PAPERS INCLUDE (1) THE PROBLEM OF DIFFERENTIATING EFFECTS OF SPECIFIC INSTRUCTION FROM EFFECTS OF OTHER INFLUENCES (GROWTH, ENVIRONMENT, AND SELF-INSTRUCTION), (2) CRITERIA FOR MEASURING CHANGE IN PROFICIENCY, AND (3) WAYS OF RELATING SUCH CHANGE TO OUTSIDE VARIABLES SUCH AS MEASURABLE CHARACTERISTICS OF LEARNERS AND…
Descriptors: Achievement, Adult Learning, Criteria, Educational Environment
Lieshoff, Sylvia – 1993
This paper examines the use of environmental scanning for institutions of higher education to achieve the following objectives: (1) provide early warning of changes that will have an impact on education; (2) define potential threats and opportunities to the institution or department; (3) promote a future orientation in faculty; and (4) alert…
Descriptors: College Planning, Data Analysis, Data Collection, Environmental Scanning
Peer reviewedTallmadge, G. Kasten – Journal of Educational Measurement, 1985
Support for the validity of the equipercentile assumption is presented in contrast with the conclusion of Powers, Slaughter, and Helmick (EJ 289 091). Observed "gains" from pre- to posttests are better attributed to stakeholder bias, posttests that match curriculum content too closely, or a combination of these factors. (Author/DWH)
Descriptors: Data Interpretation, Evaluation Methods, Norm Referenced Tests, Predictive Measurement
Peer reviewedChristian, Barry T. – Psychology in the Schools, 1981
A ratio adjustment procedure for baseline records which compares the observed response frequency with a maximum possible frequency for each observation period is described. This ratio is transformed into a response percentage with a more general predictive value for the behavior modification practitioner. (Author/RC)
Descriptors: Behavior Modification, Behavioral Objectives, Behavioral Science Research, Data Analysis
Peer reviewedLohnes, Paul R. – American Educational Research Journal, 1972
It may be useful in evaluation research to employ the class as the unit of analysis, assessing its syntality by a vector of distribution cumulants or indices for each of several input tests administered. (Author)
Descriptors: Classes (Groups of Students), Evaluation Methods, Input Output Analysis, Mathematical Models
Blake, R. John; Robertson, Leon B. – 1975
An accurate forecast of the student demand by level on the academic departments of an institution is vital for budget and financial planning decisions, for faculty workload scheduling, and for physical facility planning. Many methods have been used to forecast this demand, ranging from "seat of your pants" guessing to highly complex…
Descriptors: Bibliographies, Comparative Analysis, Departments, Educational Assessment
PDF pending restorationMcMorris, Robert F. – 1971
The extent of error likely to occur with each of several approximations for the standard deviation, internal consistency reliability, and the standard error of measurement is analyzed. Approximations were compared with exact statistics obtained on 85 different classroom tests constructed and administered by professors in a variety of fields. Means…
Descriptors: Data Analysis, Error of Measurement, Evaluation Methods, Item Analysis
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