Schuyler W Huck
Biographic Data
| ID | 1662010 |
|---|---|
| NAME | Schuyler W Huck |
| GIVEN NAMES | Schuyler W |
| FAMILY NAME | Huck |
| SIGNATURE | HUCK S W |
| AFFILIATIONS | The University of Tennessee |
| VERIFIED | No |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1972 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 1 |
Group Heterogeneity And Pearson's r
For many who deal with correlation (as students, teachers, or applied researchers), the connection between group heterogeneity and the magnitude of Pearson's r is difficult to pin down. Confusion abounds because factors that increase score variability do not have a similar effect on r. Three such factors are considered in this paper, with the point made that an increase in ß r (and/or in ß y ) can be associated with an increase or a decrease in r…
An Empirical Investigation of Lu's Method of Reliability Estimation
Based upon the belief that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu (1971) proposed a modification of Hoyt's analysis of variance reliability procedure. Lu claims that his approach is free from the "impurities" and "entanglements" inherent in Hoyt's procedure since with nonadditive data his approach supposedly yields an error MS which estimates just σ ∈ 2 …
The Usefulness of Computational Examples in Statistics Courses
The purpose of this study was to investigate the effect of computational examples on research-methods students' ability to interpret research. Thirty individuals in an experimental group, who were presented detailed computational examples in class, were compared with 25 students in a control group. A pretest given to all students served as the covariate variable in an analysis of covariance performed at the end of the treatment period. No signifi…
Predicting Multiple Criteria: Comparison of Two Vectors of Regression Coefficients
The present paper generalizes the t ratio used in testing the difference between two independent regression coefficients to the multivariate case of testing the difference between two vectors of regression coefficients. The generalized statistic is particularly useful when one wishes to determine which of two variables is the best predictor of a number of criterion variables. In addition, simultaneous confidence bounds may be applied at the level…
Two-Way Analysis of Variance Using Means and Standard Deviations
In an earlier article published in this journal, Gordon (1973) demonstrated how to compute an ANOVA F-ratio from nothing more than a table of means and standard deviations. Here, it is shown how to accomplish this same goal in two-factor designs. To point out the value of the simple formulas presented, a table from a recently published article is found to contain a large error
A Modification of Hoyt's Analysis of Variance Reliability Estimation Procedure
Given a set of n individuals and k test items, Hoyt's analysis of variance procedure for estimating reliability assumes that the residual mean square estimates error variability. Based on the assumption that an individual's true score should be allowed to vary across items (rather than remain constant), the present author argues that the residual mean square estimates two components—error and interaction—and hence Winer's modification of Hoyt's f…
Handling "Tied Items" When Using Lu's Method of Reliability Estimation
Based upon the belief that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu (1971) proposed a modification of Hoyt's analysis of variance reliability procedure. Although Lu claims that his approach is free from the "impurities" and "entanglements" inherent in Hoyt's procedure, it is shown that Lu's method itself does not yield a unique solution when the test conta…
A Quasi-Experimental Design for the Assessment of Posttest Sensitization
Researchers have long been aware that "pretest sensitization" is a potential threat to the external validity of experimental studies. Only recently, however, has it been suggested that "posttest sensitization" might also limit the generalizability of results. This latter phenomenon would exist if the administration of a posttest caused the treatment's impact to become more (or less) pronounced. Under this condition, the treatment would work diffe…
Some Comments Concerning the Use of Monotonic Transformations To Remove the Interaction in Two-Factor Anova's
In his discussion of two-factor experiments, Winer (1971) points out that it may be desirable to remove the interaction (and thus obtain additivity of effects) through a monotonic data transformation. The present authors extend Lubin's (1961) discussion of ordinal and disordinal interactions by introducing the concept of "dual-ordinal." This concept is important since a transformation cannot bring about additivity of effects unless the interactio…
Using a repeated measures Anova to analyze the data from a pretest-posttest design: A potentially confusing task
The pretest-posttest control group design (or an extension of it) is a highly prestigious experimental design. A popular analytic strategy involves subjecting the data provided, by this design to a repeated measures analysis of variance (ANOVA). Unfortunately, the statistical results yielded by this type of analysis can easily be misinterpreted, since the score model underlying the analysis is not correct. Examples from recently published article…
Checking for Proportional n's in Factorial Anova's
If the cell frequencies (i.e., the n's) in a factorial ANOVA are not equal to one another, the researcher must determine whether or not the condition of proportionality is satisfied. Although the authors of several texts demonstrate how to test for proportionality, their discussions (a) give the impression that every cell must be tested and (b) are restricted to the case of a simple two-factor ANOVA. The present authors point out that only some o…
Essay Grades: An Interaction between Graders' Handwriting Clarity and the Neatness of Examination Papers
Various empirical studies have demonstrated the limitations of examinations as compared with objective tests. More than 50 years ago, studies by Starch and Elliott (1912, 1913a, 1913b) revealed that the grades assigned to papers are highly unreliable. More recently, research has shown that good grades are assigned to papers for reasons other than the quality of the ideas set forth by the writer. In a study by Scannell and Marshall (1966), graders…
Using a repeated measures Anova to analyze the data from a pretest-posttest design: A potentially confusing task
The pretest-posttest control group design (or an extension of it) is a highly prestigious experimental design. A popular analytic strategy involves subjecting the data provided, by this design to a repeated measures analysis of variance (ANOVA). Unfortunately, the statistical results yielded by this type of analysis can easily be misinterpreted, since the score model underlying the analysis is not correct. Examples from recently published article…
Essay Grades: An Interaction between Graders' Handwriting Clarity and the Neatness of Examination Papers
Various empirical studies have demonstrated the limitations of examinations as compared with objective tests. More than 50 years ago, studies by Starch and Elliott (1912, 1913a, 1913b) revealed that the grades assigned to papers are highly unreliable. More recently, research has shown that good grades are assigned to papers for reasons other than the quality of the ideas set forth by the writer. In a study by Scannell and Marshall (1966), graders…
Checking for Proportional n's in Factorial Anova's
If the cell frequencies (i.e., the n's) in a factorial ANOVA are not equal to one another, the researcher must determine whether or not the condition of proportionality is satisfied. Although the authors of several texts demonstrate how to test for proportionality, their discussions (a) give the impression that every cell must be tested and (b) are restricted to the case of a simple two-factor ANOVA. The present authors point out that only some o…
Some Comments Concerning the Use of Monotonic Transformations To Remove the Interaction in Two-Factor Anova's
In his discussion of two-factor experiments, Winer (1971) points out that it may be desirable to remove the interaction (and thus obtain additivity of effects) through a monotonic data transformation. The present authors extend Lubin's (1961) discussion of ordinal and disordinal interactions by introducing the concept of "dual-ordinal." This concept is important since a transformation cannot bring about additivity of effects unless the interactio…
Using a repeated measures Anova to analyze the data from a pretest-posttest design: A potentially confusing task
The pretest-posttest control group design (or an extension of it) is a highly prestigious experimental design. A popular analytic strategy involves subjecting the data provided, by this design to a repeated measures analysis of variance (ANOVA). Unfortunately, the statistical results yielded by this type of analysis can easily be misinterpreted, since the score model underlying the analysis is not correct. Examples from recently published article…
A Quasi-Experimental Design for the Assessment of Posttest Sensitization
Researchers have long been aware that "pretest sensitization" is a potential threat to the external validity of experimental studies. Only recently, however, has it been suggested that "posttest sensitization" might also limit the generalizability of results. This latter phenomenon would exist if the administration of a posttest caused the treatment's impact to become more (or less) pronounced. Under this condition, the treatment would work diffe…
Predicting Multiple Criteria: Comparison of Two Vectors of Regression Coefficients
The present paper generalizes the t ratio used in testing the difference between two independent regression coefficients to the multivariate case of testing the difference between two vectors of regression coefficients. The generalized statistic is particularly useful when one wishes to determine which of two variables is the best predictor of a number of criterion variables. In addition, simultaneous confidence bounds may be applied at the level…
Two-Way Analysis of Variance Using Means and Standard Deviations
In an earlier article published in this journal, Gordon (1973) demonstrated how to compute an ANOVA F-ratio from nothing more than a table of means and standard deviations. Here, it is shown how to accomplish this same goal in two-factor designs. To point out the value of the simple formulas presented, a table from a recently published article is found to contain a large error
A Modification of Hoyt's Analysis of Variance Reliability Estimation Procedure
Given a set of n individuals and k test items, Hoyt's analysis of variance procedure for estimating reliability assumes that the residual mean square estimates error variability. Based on the assumption that an individual's true score should be allowed to vary across items (rather than remain constant), the present author argues that the residual mean square estimates two components—error and interaction—and hence Winer's modification of Hoyt's f…
Handling "Tied Items" When Using Lu's Method of Reliability Estimation
Based upon the belief that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu (1971) proposed a modification of Hoyt's analysis of variance reliability procedure. Although Lu claims that his approach is free from the "impurities" and "entanglements" inherent in Hoyt's procedure, it is shown that Lu's method itself does not yield a unique solution when the test conta…
An Empirical Investigation of Lu's Method of Reliability Estimation
Based upon the belief that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu (1971) proposed a modification of Hoyt's analysis of variance reliability procedure. Lu claims that his approach is free from the "impurities" and "entanglements" inherent in Hoyt's procedure since with nonadditive data his approach supposedly yields an error MS which estimates just σ ∈ 2 …
The Usefulness of Computational Examples in Statistics Courses
The purpose of this study was to investigate the effect of computational examples on research-methods students' ability to interpret research. Thirty individuals in an experimental group, who were presented detailed computational examples in class, were compared with 25 students in a control group. A pretest given to all students served as the covariate variable in an analysis of covariance performed at the end of the treatment period. No signifi…
Group Heterogeneity And Pearson's r
For many who deal with correlation (as students, teachers, or applied researchers), the connection between group heterogeneity and the magnitude of Pearson's r is difficult to pin down. Confusion abounds because factors that increase score variability do not have a similar effect on r. Three such factors are considered in this paper, with the point made that an increase in ß r (and/or in ß y ) can be associated with an increase or a decrease in r…
Mathematics (10 works) · Statistics (10 works) · Computer Science (7 works) · Psychology (6 works) · Optimal Experimental Design Methods (5 works) · Econometrics (4 works) · Psychometric Methodologies and Testing (4 works) · Variance (accounting) (4 works) · Advanced Statistical Methods and Models (3 works) · Algorithm (3 works)