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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 5 results
An Empirical Comparison of Statistical Models for Value-Added Assessment of School Performance
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Tekwe, Carmen D.; Carter, Randy L.; Ma, Chang-Xing; Algina, James; Lucas, Maurice E.; Roth, Jeffrey; Ariet, Mario; Fisher, Thomas; Resnick, Michael B. – Journal of Educational and Behavioral Statistics, 2004
Hierarchical Linear Models (HLM) have been used extensively for value-added analysis, adjusting for important student and school-level covariates such as socioeconomic status. A recently proposed alternative, the Layered Mixed Effects Model (LMEM) also analyzes learning gains, but ignores sociodemographic factors. Other features of LMEM, such as…
Descriptors: Accountability, Academic Achievement, Mathematical Models, Statistical Analysis
A Power Comparison of the Welch-James and Improved General Approximation Tests in the Split-Plot Design.
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Algina, James; Keselman, H. J. – Journal of Educational and Behavioral Statistics, 1998
Power for the improved general approximation (IGA) and the Welch-James tests of the within-subjects (trials) main effects and the within-subjects x between-subjects (groups x trials) interaction was estimated for a design with one between- and one within-subjects factor. Results show that little if any power is sacrificed by using these methods.…
Descriptors: Power (Statistics), Research Design
On Sample Size Requirements for Johansen's Test.
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Coombs, William T.; Algina, James – Journal of Educational and Behavioral Statistics, 1996
Type I error rates for the Johansen test were estimated using simulated data for a variety of conditions. Results indicate that Type I error rates for the Johansen test depend heavily on the number of groups and the ratio of the smallest sample size to the number of dependent variables. Sample size guidelines are presented. (SLD)
Descriptors: Group Membership, Hypothesis Testing, Multivariate Analysis, Robustness (Statistics)
A Maximum Test for Scale: Type I Error Rates and Power.
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Algina, James; And Others – Journal of Educational and Behavioral Statistics, 1995
A maximum test in which the test statistic is the more extreme of the Brown-Forsythe and in which O'Brien's test statistics are developed, with estimated Type I error rates and power for all three tests. For study conditions, Type I error rates for the maximum test are near the nominal level. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Power (Statistics), Scaling
Type I Error Rates for Welch's Test and James' Second-Order Test under Nonnormality and Inequality of Variance When There Are Two Groups.
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Algina, James; Oshima, T. C.; Lin, Wen-Ying – Journal of Educational and Behavioral Statistics, 1994
Estimated Type I error rates for three tests that compare means by testing data from two independent samples: (1) the independent samples "t" test; (2) B. Welch's approximate degrees of freedom test (1938); and (3) G. James's second-order test (1951, 1954). Results provide guidance about the total sample sizes required for controlling Type I error…
Descriptors: Comparative Analysis, Sample Size