NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
West, Leo H. T.; Theobald, John H. – 1981
This paper describes an analytical solution to a common problem in aptitude-treatment interaction (ATI). The researcher is often interested in the comparison between treatments for a large set of attributes. If this set is large, the chance of non-orthogonality is correspondingly large. In these circumstances the analysis and interpretation…
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Biology, Foreign Countries
Burstein, Leigh; Linn, Robert L. – 1977
Multiple sources of complications in the analysis of multilevel educational data are described with emphasis on the determination of a method of analysis that will provide accurate estimates of teacher/class effects even when there are systematic differences in within-class regressions of outcome on input associated with teacher/class…
Descriptors: Academic Achievement, Classrooms, Data Analysis, Educational Research
Bulcock, J. W. – 1981
The use of the two-stage least squares (2 SLS) procedure for estimating nonrecursive social science models is often impractical when multiple feedback linkages are required. This is because 2 SLS is extremely sensitive to multicollinearity. The standard statistical solution to the multicollinearity problem is a biased, variance reduced procedure…
Descriptors: Academic Achievement, Analysis of Covariance, Foreign Countries, Junior High Schools
Wolfle, Lee M.; Ethington, Corinna A. – 1984
To correct for the effects of measurement error on structural parameter estimates, many researchers are now estimating models of educational achievement with LISREL. In order to estimate such models it is desirable to obtain multiple manifest measures of the latent constructs. Many researchers restrict their models to two manifest measures per…
Descriptors: Academic Achievement, Error of Measurement, Estimation (Mathematics), Goodness of Fit
Wolfle, Lee M. – 1979
Structural equation models incorporating unmeasured variables make possible the rigorous testing of theories previously difficult to test adequately because of fallible measures of the theoretic variables. This paper first discusses a simple causal model; incorporating a single unmeasured variable for the purpose of exposition. A substantive…
Descriptors: Academic Achievement, Computer Programs, Critical Path Method, Cultural Differences
Peer reviewed Peer reviewed
Zwick, Rebecca – Journal of Educational Statistics, 1992
Some unresolved methodological and philosophical issues in the assessment of performance trends are discussed as they relate to the National Assessment of Educational Progress (NAEP). How to measure performance change while remaining responsive to advances in curriculum and the technology of assessment is a central dilemma. (SLD)
Descriptors: Academic Achievement, Curriculum Development, Educational Assessment, Educational Technology
Linn, Robert L. – 1978
The three RMC models endorsed by the U.S. Office of Education for the evaluation of Elementary and Secondary Education Act Title I programs are based on narrowly conceived approaches to evaluation--the measurement of cognitive achievement gains. Each model requires the comparison of observed student performance with an estimate of what level of…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups
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
Horst, Donald P.; Tallmadge, G. Kasten – 1976
The orientation of this report is that of identifying educational projects which can be considered clearly exemplary. The largest section consists of a 22-step procedure for validating the effectiveness of educational projects using existing evaluation data. It is not intended as a guide for conducting evaluations but rather for interpreting data…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups