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Koopmans, Matthijs – 1998
This paper discusses the application of Hierarchical Linear Modeling (HLM) to the evaluation of the effectiveness of Basic Skills programs in the Newark (New Jersey) school district. Whether HLM is able to handle regression effects in Basic Skills examination data is studied. The analysis uses data from the Stanford Achievement Tests for…
Descriptors: Basic Skills, Elementary Secondary Education, Evaluation Methods, Mathematical Models
Marzano, Robert J.; Hutchins, C. L. – 1981
In this paper, academic efficiency is operationally defined and a methodology for measuring it at the school level is described. Academic efficiency is defined as the extent to which a school utilizes its time for the academic development of all its students. The measure of academic efficiency must include three elements: time, students, and…
Descriptors: Classroom Observation Techniques, Elementary Secondary Education, Evaluation Methods, Mathematical Models
Wholeben, Brent Edward – 1984
Complex decision-making environments often demand that a range of alternative strategies be identified and compared for their shared value in achieving desired ends. Simple parametric statistical procedures such as analysis of variance and discriminant function analysis can be used in such situations to compare (using selected criteria) the value…
Descriptors: Comparative Analysis, Computer Simulation, Decision Making, Elementary Secondary Education
Peer reviewedHick, Thomas L.; Irvine, David J. – Multiple Linear Regression Viewpoints, 1978
Historical regression uses the assumption that without intervention, growth at post-test will proceed at the same rate as at pre-test. Several methods of historical regression are compared with an illustrative example. (JKS)
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Elementary Secondary Education
Peer reviewedMuthen, Bengt O. – Psychometrika, 1989
A method for detecting instructional sensitivity (item bias) in test items is proposed. This method extends item response theory by allowing for item-specific variation in measurement relations across students' varying instructional backgrounds. Item bias detection is a by-product. Traditional and new methods are compared. (SLD)
Descriptors: Achievement Tests, Educational Background, Educational Opportunities, Elementary Secondary Education
Getting More Information from School District Surveys with Goodman's "Modified Regression Approach."
Adwere-Boamah, Joseph – 1980
The development of new statistical methods of log-linear models by Leo Goodman has led to major advances in the statistical analysis of categorical data. Goodman's logit analysis, (the simplest form of log-linear models) can be applied in evaluation studies to estimate the "main effects" and "interaction effects" of categorical…
Descriptors: Attitude Measures, Elementary Secondary Education, Evaluation Methods, Mathematical Models
Peer reviewedJohnson, Eugene G. – Journal of Educational Statistics, 1989
The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Peer reviewedWillms, J. Douglas; Raudenbush, Stephen W. – Journal of Educational Measurement, 1989
A general longitudinal model is presented for estimating school effects and their stability. The model, capable of separating true changes from sampling and measurement error, controls statistically for effects of factors exogenous to the school system. The model is illustrated with data from large cohorts of students in Scotland. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Tatsuoka, Kikumi K. – 1982
This study introduced a probabilistic model utilizing item response theory (IRT) for dealing with a variety of misconceptions. The model can be used for evaluating the transition behavior of error types, advancement of learning stages, or the stability and persistence of particular misconceptions. Moreover, it apparently can be used for relating…
Descriptors: Adaptive Testing, Elementary Secondary Education, Error Patterns, Evaluation Methods
Wholeben, Brent E. – 1982
This volume is an exposition of a mathematical modeling technique for use in the evaluation and solution of complex educational problems at all levels. It explores in detail the application of simple algebraic techniques to such issues as program reduction, fiscal rollbacks, and computer curriculum planning. Part I ("Introduction to the…
Descriptors: Budgeting, Computer Assisted Instruction, Computer Oriented Programs, Curriculum Development
Hill, Richard – 1997
In the Spring, 1996, issue of "CRESST Line," E. Baker and R. Linn commented that, in efforts to measure the progress of schools, "the fluctuations due to differences in the students themselves could conceal differences in instructional effects." This is particularly true in the context of the evaluation of adequate yearly…
Descriptors: Academic Achievement, Compensatory Education, Disadvantaged Youth, Educational Improvement
Peer reviewedDowning, Roger H.; And Others – Journal of Education Finance, 1985
Pennsylvania's mathematical modeling technique to evaluate tax reform proposals requires the following data: personal income at the local level and measures of the breakdown of property tax payment by land use classification. The simulation technique could be readily adapted in reorganizing educational finance systems. (MLF)
Descriptors: Educational Finance, Elementary Secondary Education, Evaluation Methods, Feedback
Peer reviewedTate, Richard L. – Florida Journal of Educational Research, 1986
Regression-based adjustment of student outcomes for the assessment of the merit of schools is considered. First, the basics of causal modeling and multiple regression are briefly reviewed. Then, two common regression-based adjustment procedures are described, pointing out that the validity of the final assessments depends on: (1) the degree to…
Descriptors: Causal Models, Educational Assessment, Elementary Secondary Education, Evaluation Methods
Peer reviewedDenton, Jon J.; And Others – Educational Evaluation and Policy Analysis, 1980
Empirical findings lend credence to the postulation that differences among teachers regarding content knowledge ( being more pronounced in the upper grades regarding cognitive attainment of course specific content), instructional skills, and teaching experience do result in cognitive attainment differences among classes of learners. (Author/RL)
Descriptors: Academic Achievement, Classroom Environment, Elementary Secondary Education, Evaluation Methods
Peer reviewedRust, Keith F.; Johnson, Eugene G. – Journal of Educational Statistics, 1992
Procedures for obtaining student samples for the National Assessment of Educational Progress (NAEP) and deriving survey weights for analysis of survey data are described. Sample designs are economically and operationally feasible, and weighting procedures result in increased precision of estimates as they account for the probabilities of student…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
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