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Noether, Gottfried E. – Journal of Educational Statistics, 1985
The paper presents a unified approach to some of the more popular nonparametric methods in current use, providing the reader with new insights by exhibiting relationships to relevant population parameters. (Author/LMO)
Descriptors: Higher Education, Hypothesis Testing, Nonparametric Statistics, Regression (Statistics)
Peer reviewed Peer reviewed
Visser, Ronald A.; De Leeuw, Jan – Journal of Educational Statistics, 1984
The regression-discontinuity design (RDD) offers the possibility of making inferences about causal effects from observations on selected groups. Data from such a design are considered to have a truncated bivariate distribution. For the RDD, maximum likelihood parameter estimation procedures and tests of hypotheses are presented. (Author/BW)
Descriptors: Hypothesis Testing, Maximum Likelihood Statistics, Monte Carlo Methods, Quasiexperimental Design
Peer reviewed Peer reviewed
Becker, Betsy Jane – Journal of Educational Statistics, 1992
Combining information to estimate standardized partial regression coefficients in a linear model is discussed. A combined estimate obtained from the pooled correlation matrix is proposed, and its large sample distribution is obtained. The method is generalized to handle a random effects model in which correlation parameters vary across studies.…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing
Peer reviewed Peer reviewed
Kraemer, Helena Chmura – Journal of Educational Statistics, 1985
A method is suggested to incorporate instruction in the concept and the application of power considerations into an applied statistics course. This is based on designing one table usable for a wide range of the type of statistical tests usually introduced in such a course. (Author)
Descriptors: Analysis of Variance, Correlation, Effect Size, Higher Education