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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification

Jarrell, Michele Glankler – 1992
This repeated measures factorial design study compared the results of two procedures for identifying multivariate outliers under varying conditions, the Mahalanobis distance and the Andrews-Pregibon statistic. Results were analyzed for the total number of outliers identified and number of false outliers identified. Simulated data were limited to…
Descriptors: Comparative Analysis, Computer Simulation, Error of Measurement, Mathematical Models
Berger, Dale E.; Selhorst, Susan C. – 1981
Although it is widely known that special assumptions are needed for univariate analysis of repeated measures data, researchers seldom examine their data for violation of these assumptions. This paper reviews ways in which repeated measures analyses are usually handled and describes limitations of these methods. A design with two within subject…
Descriptors: Comparative Analysis, Multivariate Analysis, Research Design, Research Methodology

Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research
Carter, Rufus Lynn – Research & Practice in Assessment, 2006
Many times in both educational and social science research it is impossible to collect data that is complete. When administering a survey, for example, people may answer some questions and not others. This missing data causes a problem for researchers using structural equation modeling (SEM) techniques for data analyses. Because SEM and…
Descriptors: Structural Equation Models, Error of Measurement, Data, Change Strategies
Thompson, Bruce – 1985
Hypothetical data sets are used to demonstrate how canonical correlation methods subsume other commonly utilized parametric methods. Analysis of variance, analysis of covariance, multiple analysis of variance, and multiple analysis of covariance are heavily used by educational researchers. It is concluded that researchers would do well to consider…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Correlation
Long, Mike – 2001
The conclusion of a 1999 Organisation for Economic Cooperation and Development (OECD) report that wage gains for training are higher for workers with lower levels of education was revisited using data for males from the 1997 Australian Survey of Education and Training (SET). The study used methods similar to the OECD report (ordinary least squares…
Descriptors: Comparative Analysis, Educational Attainment, Employment Experience, Foreign Countries
Whitener, Leslie A. – 1983
One limitation of hired farm labor data from the Decennial Census is undercounting; the seasonal nature of farm work means that many farm laborers are not employed in March, when the Census is taken. The 1981 Hired Farm Working Force Survey provided data to evaluate the usefulness of Census data for farm labor research. Data were grouped into…
Descriptors: Academic Achievement, Census Figures, Comparative Analysis, Educational Background