Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Source
Journal of Educational and… | 1 |
Scandinavian Journal of… | 1 |
Sociological Methods &… | 1 |
Sociology of Education | 1 |
Author
Fhaner, Stig | 1 |
Gorth, William Phillip | 1 |
Harris, Chester W. | 1 |
Hiscox, Suzanne B. | 1 |
Jencks, Christopher | 1 |
Kang, Yoonjeong | 1 |
Lai, Morris K. | 1 |
Owen, Thomas R. | 1 |
Popejoy, Lee W. | 1 |
Shishido, Judy | 1 |
Stapleton, Laura M. | 1 |
More ▼ |
Publication Type
Reports - Research | 5 |
Journal Articles | 3 |
Information Analyses | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Secondary Education | 2 |
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Assessments and Surveys
Trends in International… | 2 |
Early Childhood Longitudinal… | 1 |
Schools and Staffing Survey… | 1 |
What Works Clearinghouse Rating
Yamaguchi, Kazuhiro – Journal of Educational and Behavioral Statistics, 2023
Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…
Descriptors: Bayesian Statistics, Classification, Statistical Inference, Sampling
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences

Fhaner, Stig – Scandinavian Journal of Educational Research, 1973
An item sampling model for achievement testing with items scored in an arbitrary number of categories is investigated. (Author)
Descriptors: Achievement Tests, Decision Making, Item Sampling, Models
Harris, Chester W.; And Others – 1980
The third section of this two-volume report examines the utility of the model developed in section I for application in a classroom testing situation. The model was applied in arithmetic classes through a weekly testing program. The teacher specified the generic task being taught, tests were constructed using a table of random numbers to select…
Descriptors: Achievement Tests, Classroom Research, Difficulty Level, Elementary Education
Lai, Morris K.; Shishido, Judy – 1987
A review of the literature about practices in evaluating art education programs led to the design of the new evaluation model described in this paper. The literature review revealed that a growing number of authors advocate qualitative methods, and that a debate exists regarding the combination of qualitative and quantitative data gathering and…
Descriptors: Achievement Tests, Art Education, Curriculum Evaluation, Elementary Secondary Education
Gorth, William Phillip; Popejoy, Lee W. – 1968
This technical memorandum describes courses which have been monitored by the Project for Comprehensive Achievement Monitoring (Project CAM, formerly known as Project CRAM). The course structures range from very structured through differentially paced programs for blocks of students to individually paced programs. Project CAM has guided the…
Descriptors: Achievement, Achievement Tests, Behavioral Objectives, Biology
Hiscox, Suzanne B.; Owen, Thomas R. – 1978
This study explored the assumption that the percentile rank of a group of students should be expected to remain the same on a post-test as on a pretest when the treatment of the group in the intervening period was the same as the treatment of the norms population. This assumption is basic to the use of the norm-referenced model for the assessment…
Descriptors: Academic Achievement, Achievement Tests, Attrition (Research Studies), Compensatory Education

Jencks, Christopher; And Others – Sociology of Education, 1983
Data from Project Talent are utilized to assess the representativeness of the samples used in the Wisconsin and the Exploration in Equality of Opportunity (EEO) surveys. Adequacy of the measures of academic aptitude and aspiration used in the surveys are examined, and problems with the Wisconsin model are briefly discussed. (RM)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration