NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Ji Seung; Cai, Li – Journal of Educational and Behavioral Statistics, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM). Results indicate that the MH-RM algorithm can produce estimates and standard…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yang, Ji Seung; Cai, Li – Grantee Submission, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
Kolen, Michael J. – 1984
Large sample standard errors for the Tucker method of linear equating under the common item nonrandom groups design are derived under normality assumptions as well as under less restrictive assumptions. Standard errors of Tucker equating are estimated using the bootstrap method described by Efron. The results from different methods are compared…
Descriptors: Certification, Comparative Analysis, Equated Scores, Error of Measurement
Daniel, Mark – 1983
The correlations of each of the 22 tests in the Johnson O'Connor Research Foundation battery with all other tests in the battery are listed. Four fairly large samples are used, each including cases of one sex and a narrow age range. These cases come from a file of 3,555 examinees tested between June 1981 and the fall of 1982. The purpose of…
Descriptors: Adults, Age Differences, Aptitude Tests, Comparative Analysis
Jones, Lyle V. – 1986
It has been proposed that the National Assessment of Educational Progress (NAEP) increase its efforts to gather and analyze data on student background, teachers, households, and schools. Adoption of this proposal would result in the inclusion in NAEP of additional background variables and subpopulations, to be defined by states. NAEP specification…
Descriptors: Biographical Inventories, Community Characteristics, Comparative Analysis, Educational Assessment
Jones, Calvin C. – 1986
The National Assessment of Educational Progress (NAEP) is compared to the two studies of the National Educational Longitudinal Studies (NELS) Program--the National Longitudinal Study of the Class of 1972 (resurveyed in 1973, 1974, 1976, and 1979) and the 1980 High School and Beyond study (partially resurveyed and retested in 1982). The third phase…
Descriptors: Agency Cooperation, Comparative Analysis, Computer Assisted Testing, Data Collection
Reckase, Mark D. – 1977
Latent trait model calibration procedures were used on data obtained from a group testing program. The one-parameter model of Wright and Panchapakesan and the three-parameter logistic model of Wingersky, Wood, and Lord were selected for comparison. These models and their corresponding estimation procedures were compared, using actual and simulated…
Descriptors: Achievement Tests, Adaptive Testing, Aptitude Tests, Comparative Analysis
Beaton, Albert E. – 1989
The introduction of the trial state assessment program into the design of the 1990 National Assessment of Educational Progress (NAEP) raises questions about differences across states in sampling and administration practices. In addition, questions about the general approach to comparing state data to national data need discussion. Subject areas…
Descriptors: Comparative Analysis, Differences, Elementary School Students, Elementary Secondary Education
Peer reviewed Peer reviewed
Marascuilo, Leonard A. – Journal of Experimental Education, 1979
The utility of the biomedical model of adjusted statistics is demonstrated. The model is recommended for use by educational researchers to randomize subjects for a more accurate estimate of school programs' success or failure when compared across classrooms or other units. (Author/MH)
Descriptors: Academic Achievement, Analysis of Variance, Comparative Analysis, Criterion Referenced Tests