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Kelley, D. Lynn; And Others – 1994
The Type I error and power properties of the 2x2x2 analysis of variance (ANOVA) and tests developed by McSweeney (1967), Bradley (1979), Harwell-Serlin (1989; Harwell, 1991), and Blair-Sawilowsky (1990) were compared using Monte Carlo methods. The ANOVA was superior under the Gaussian and uniform distributions. The Blair-Sawilowsky test was…
Descriptors: Analysis of Variance, Comparative Analysis, Error of Measurement, Monte Carlo Methods
Lunneborg, Clifford E. – 1983
The wide availability of large amounts of inexpensive computing power has encouraged statisticians to explore many approaches to a basis for inference. This paper presents one such "computer-intensive" approach: the bootstrap of Bradley Efron. This methodology fits between the cases where it is assumed that the form of the distribution…
Descriptors: Analysis of Variance, Error of Measurement, Estimation (Mathematics), Hypothesis Testing
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Garrison, Dean H. – Physics Teacher, 1975
Describes an activity designed to introduce concepts of randomness and standard deviation. (CP)
Descriptors: Analysis of Variance, College Science, Error of Measurement, Experiments
Olejnik, Stephen F.; Algina, James – 1983
Parametric analysis of covariance was compared to analysis of covariance with data transformed using ranks. Using a computer simulation approach the two strategies were compared in terms of the proportion of Type I errors made and statistical power when the conditional distribution of errors were: (1) normal and homoscedastic, (2) normal and…
Descriptors: Analysis of Covariance, Control Groups, Data Collection, Error of Measurement
Wise, Lauress L., II – 1983
BRRVAR, which uses the Balanced Repeated Replication approach, was designed for use with the Statistical Analysis System (SAS). It was created for the National Center for Education Statistics, to enlarge their capacity to estimate and analyze sampling errors for statistics generated from educational surveys with complex sampling designs. BRRVAR…
Descriptors: Computer Software, Elementary Secondary Education, Error of Measurement, Estimation (Mathematics)
Wainer, Howard; Thissen, David – 1985
Using simulated item response data, the performance of several "robust" and conventional schemes for ability estimation was evaluated in conjunction with logistic item response theory models (one, two, and three parameter models). The simulated item response data were generated using a model that is more complex than are the usual…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Error of Measurement
Blumberg, Carol Joyce – 1988
Traditionally, the errors-in-variables problem is concerned with the point estimation of the slope of the true scores regression line when the regressor is measured with error, and when no specification error is present. In this paper, the errors-in-variables problem is extended to include specification error. Least squares procedures provide a…
Descriptors: Computer Simulation, Equations (Mathematics), Error of Measurement, Graphs
Reuterberg, Sven-Eric – 1986
This report is about the problem of making transition or enrollment rate gains comparable. It is shown that measures based on the proportions themselves, i.e. the difference between proportions, the proportion ratio and the residual gain ratio do not make the gains comparable. Instead a non-linear transformation has to be done. Two such…
Descriptors: Enrollment, Error of Measurement, Higher Education, Mathematical Models
Cummings, Corenna C. – 1982
The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Multiple Regression Analysis
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Olejnik, Stephen F.; Algina, James – 1985
This paper examined the rank transformation approach to analysis of variance as a solution to the Behrens-Fisher problem. Using simulation methodology four parameters were manipulated for the two group design: (1) ratio of population variances; (2) distribution form; (3) sample size and (4) population mean difference. The results indicated that…
Descriptors: Analysis of Variance, Computer Simulation, Error of Measurement, Hypothesis Testing
Macready, George B.; Dayton, C. Mitchell – 1977
A probabilistic hypothesis testing procedure to assess the fit of hypothesized hierarchical structures for test item data is discussed. Statistical procedures are presented which are useful for evaluating the fit of data of a certain class of probabilistic models. These models apply to sets of dichotomous (O,1) responses for which there are…
Descriptors: Error of Measurement, Goodness of Fit, Hypothesis Testing, Mathematical Models
Hedley, R. Alan – 1981
The author conducted a cross national analysis of sociological research reported in leading journals at two points in time over a ten year period to determine if sociologists' ability to produce valid social generalizations had improved significantly over the recent past. The official journals of the United States (American Sociological Review),…
Descriptors: Comparative Analysis, Error of Measurement, Generalization, Reliability
Schmitt, Alicia P.; Crocker, Linda – 1981
The effectiveness of a strategy for improving performance on multiple choice items for examinees with different levels of test anxiety was assessed. Undergraduate measurement students responded to the Mandler-Sarason Test Anxiety Scale and to an objective test covering course content. Results indicated that, for most examinees, generation of an…
Descriptors: Error of Measurement, Higher Education, Multiple Choice Tests, Response Style (Tests)
Wolfle, Lee M.; Robertshaw, Dianne – 1981
Since measurement errors exist in panel surveys, LISREL (a procedure for controlling measurement error by the analysis of covariance structures) was used in this investigation to determine the stability of the social-psychological concept of locus of control expectancy change with the aquisition of post secondary education. The National…
Descriptors: Analysis of Covariance, Error of Measurement, Locus of Control, Maximum Likelihood Statistics
Delucchi, Kevin L. – 1981
The proper use of Pearson's chi-square for the analysis of contingency tables is reviewed. A 1949 article by Lewis and Burke, in which they cite nine primary sources of error in the use of chi-square, serves as the basis of the review. Those nine sources of error are re-examined in light of current research. In addition, techniques and research on…
Descriptors: Educational Research, Error of Measurement, Goodness of Fit, Literature Reviews
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