Kenneth J Berry
Datos Biográficos
| ID | 3792467 |
|---|---|
| NOMBRE | Kenneth J Berry |
| NOMBRES | Kenneth J |
| APELLIDO | Berry |
| FIRMA | BERRY K J |
| AFILIACIONES | Colorado State University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 87 |
| TOTAL DE CITAS | 18 |
| TOTAL COMO AUTOR | 87 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1973 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2010 |
| ÍNDICE H | 3 |
Maximum-Corrected and Chance-Corrected Measures of Effect Size for the Mantel–Haenszel Test
Two measures of effect size are described for the Mantel-Haenszel test. Both measures belong to the r-family of effect size measures. One measure is based on a maximum-corrected model, and the second measure is based on a chance-corrected model
Multiway Contingency Tables
Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value
Tetrachoric Correlation
An exact permutation test is provided for the tetrachoric correlation coefficient. Comparisons with the conventional test employing Student's t distribution demonstrate the necessity of using the permutation approach for small sample sizes and/or disproportionate marginal frequency totals
Quantitative Historical Methods
The authors describe exact and resampling permutation methods, with detailed advantages of permutation methods for quantitative historical analysis, and compare conventional and permutation two-sample t tests using the Poor Law Relief data set
Resampling Probability Values for Weighted Kappa with Multiple Raters
A new procedure to compute weighted kappa with multiple raters is described. A resampling procedure to compute approximate probability values for weighted kappa with multiple raters is presented. Applications of weighted kappa are illustrated with an example analysis of classifications by three independent raters
Exact Permutation Probability Values for Weighted Kappa
A permutation algorithm and associated FORTRAN program are provided for weighted kappa. Program EWK provides the weighted kappa test statistic and the exact one-sided upper-tail probability values
Resampling Permutation Probability Values for Weighted Kappa
A permutation algorithm and associated FORTRAN program are provided for resampling weighted kappa. Program RWK provides the weighted kappa test statistic and the resampling one-sided upper-tail probability value
Resampling Programs for Multiway Contingency Tables with Fixed Marginal Frequency Totals
A resampling algorithm is presented for analyzing multiway contingency tables with fixed marginal frequency totals. Applications are illustrated with extensions of Fisher's exact, Pearson's chi-squared, and likelihood-ratio tests to three-way contingency tables
The Exact Variance of Weighted Kappa with Multiple Raters
Weighted kappa described by Cohen in 1968 is widely used in psychological research to measure agreement between two independent raters. Everitt then provided the exact variance for weighted kappa for two raters. In this paper, Everitt's exact variance is extended to three or more raters
A Note on Permutation Tests of Significance for Multiple Regression Coefficients
In the vast majority of psychological research utilizing multiple regression analysis, asymptotic probability values are reported. This paper demonstrates that asymptotic estimates of standard errors provided by multiple regression are not always accurate. A resampling permutation procedure is used to estimate the standard errors. In some cases the results differ substantially from the traditional least squares regression estimates
Two-Sample Multivariate Similarity Permutation Comparison
A multivariate permutation test of similarity between two populations with corresponding unordered disjoint categories is described. The test statistic, resampling probability value, and measure of effect size are described
A Measure of Effect Size for R × C Contingency Tables
Goodman and Kruskal's tau measure of categorical association is advanced as a replacement for conventional measures of effect size for r x c contingency tables. Goodman and Kruskal's tau is an asymmetric measure of categorical association which is based entirely on the observed data and possesses a clear interpretation in terms of proportional reduction in error. Comparisons with conventional measures of effect size based on chi-squared such as P…
A Measure of Effect Size for R X C Contingency Tables
Resampling Probability Values for Differences between Two Independent Indices of Ordinal Variation and Consensus
A permutation method is presented to calculate resampling probability values for differences between two independent indices of ordinal variation and consensus
Exact and Resampling Probability Values for Measures Associated With Ordered R by C Contingency Tables
Exact and Resampling Probability Values for Measures Associated with Ordered R by C Contingency Tables
Permutation procedures to compute exact and resampling probability values associated with measures of association for ordered r x c contingency tables are described. Comparisons with asymptotic probability values demonstrated that exact and resampling permutation procedures were preferred for sparse contingency tables
Resampling Probability Values for Measures of Ordinal Variation and Consensus
Resampling permutation procedures provide good approximations to exact permutation procedures and are therefore the preferred alternative when large samples render exact tests intractable. Resampling permutation procedures are described for three measures of variation and the three corresponding measures of consensus among ordered categories
Exact and Resampling Probability Values for Weighted Kappa
Permutation procedures to compute exact and resampling probability values for weighted kappa are described. Comparisons with asymptotic probability values demonstrate that exact permutation procedures are advantageous for sparse data sets, whereas resampling permutation procedures are appropriate for both sparse and nonsparse data sets
Combining Probability Values from Independent Permutation Tests
Permutation tests are based on all possible arrangements of observed data sets. Consequently, such tests yield exact probability values obtained from discrete probability distributions. An exact nondirectional method to combine independent probability values that obey discrete probability distributions is introduced. The exact method is the discrete analog to Fisher's classical method for combining probability values from independent continuous p…
Asymptotic Log-Linear Analysis
Traditional asymptotic probability values resulting from log-linear analyses of sparse frequency tables are often much too large. Asymptotic probability values for chi-squared and likelihood-ratio statistics are compared to nonasymptotic and exact probability values for selected log-linear models. The asymptotic probability values are all too often substantially larger than the exact probability values for the analysis of sparse frequency tables.…
Longitudinal Analysis of Data with Multiple Binary Category Choices
In many experiments, subjects mark all categories that apply when responding to a cafeteria or multiple-response question. One exact and two approximate permutation methods are described to analyze binary answers to multiple-response questions in longitudinal experimental designs, wherein the same or matched subjects respond to the same multiple-response question over two or more trials. The described methods provide probabilities, under the null…
Permutation Methods for the Analysis of Matched-Pairs Experimental Designs
The Fisher-Pitman and powers of ranks permutation tests are shown to provide substantial resistance to extreme values when compared with the conventional t test for analyzing matched-pairs experimental designs
Permutation Methods for the Analysis of Matched-Pairs Experimental Designs
Longitudinal Analysis of Data With Multiple Binary Category Choices
Multivariate Multiple Regression Prediction Models
An extension of a multiple regression prediction model to multiple response variables is presented. An algorithm using least sum of Euclidean distances between the multivariate observed and model-predicted response values provides regression coefficients, a measure of effect size, and inferential procedures for evaluating the extended multivariate multiple regression prediction model
The Impact of Dual-Career Marriages on Female Professional Careers
Thomas W. Martin, Kenneth J. Berry, R. Brooke Jacobsen, The Impact of Dual-Career Marriages on Female Professional Careers: An Empirical Test of a Parsonian Hypothesis, Journal of Marriage and Family, Vol. 37, No. 4, Special Section: Macrosociology of the Family (Nov., 1975), pp. 734-742
A Permutation Technique for the Spatial Analysis of the Distribution of Artifacts into Classes
A permutation test for assessing intrasite patterning of artifact distributions in archaeological space is presented. This test requires none of the usual assumptions about the data; permits either exact locational or counts/grid data in one-, two-, or three-dimensional space; and provides an exact method for testing any hypothesis concerning the nonrandom allocation of artifacts into classes within a site
Competitive Sport in Post‐Industrial Society
The Synecdochic Fallacy
Improvements in the Permutation Test for the Spatial Analysis of the Distribution of Artifacts into Classes
Refinements and extensions to the permutation test for assessing the intrasite patterning of artifact distributions in an archaeological space are presented. Specifically, a Pearson type III distribution is employed to approximate the sampling distribution of the test statistic, an improved weighting is introduced to increase the efficiency of the test, and a method is presented to permit the inclusion of unclassified artifacts in the spatial ana…
A Methodological Note on Typological Analysis in Status Consistency Research
Status consistency research has been severely criticized for its inability to reconcile certain problems of theory and method As the validity of these criticisms has become evident, researchers have turned from classic research designs to more powerful methods. One popular approach has incorporated typological procedures based on two-factor profiles of status inconsistents. In this paper, a serious fault of the two-factor technique is delineated,…
A Methodological Note on Typological Analysis in Status Consistency Research
Status consistency research has been severely criticized for its inability to reconcile certain problems of theory and method As the validity of these criticisms has become evident, researchers have turned from classic research designs to more powerful methods. One popular approach has incorporated typological procedures based on two-factor profiles of status inconsistents. In this paper, a serious fault of the two-factor technique is delineated,…
A Note On Fourfold Point Correlation
Formulas are presented for a modification of Pearson's fourfold point correlation possessing always-attainable limits of ± 1 and intermediate values operationally interpretable in terms of proportionate reduction in error of estimation
Competitive Sport in Post‐Industrial Society
The Synecdochic Fallacy
Testing Theoretical Hypotheses
Departures from statistical independence are conjoined with an assessment of predictive accuracy in a coefficient of association for nominal-level 2 × 2 contingency tables which is both interpretable as a PRE measure and consistent with research hypotheses of manifold forms. Measurement assumptions and operating characteristics of the measure are delineated; definitional and computational formulae are derived from classical probability theory; co…
An Empirical Test of the Generation Gap
R. Brooke Jacobsen, Kenneth J. Berry, Keith F. Olson, An Empirical Test of the Generation Gap: A Comparative Intrafamily Study, Journal of Marriage and Family, Vol. 37, No. 4, Special Section: Macrosociology of the Family (Nov., 1975), pp. 841-852
The Impact of Dual-Career Marriages on Female Professional Careers
Thomas W. Martin, Kenneth J. Berry, R. Brooke Jacobsen, The Impact of Dual-Career Marriages on Female Professional Careers: An Empirical Test of a Parsonian Hypothesis, Journal of Marriage and Family, Vol. 37, No. 4, Special Section: Macrosociology of the Family (Nov., 1975), pp. 734-742
Large Sample Confidence Limits for Goodman and Kruskal's Proportional Prediction Measure Taub
Goodman and Kruskal's t b test statistic is frequently employed in measuring association between nominally-scaled polynomies. Because of an error in the published large sample standard error, the utility of t b has been severely circumscribed for many years. A recent published correction of the large sample standard error promises to increase its use. This paper describes a Fortran Extended computer program which computes t b , with column variab…
Testing the Significance of a Sample Gamma
A Large Sample Procedure for Testing Coefficients of Ordinal Association
This paper describes a FORTRAN Extended computer program which computes Goodman and Kruskal's sample gamma and Somers' sample d ba with column variable dependent and sample d ab with row variable dependent. The program also provides associated standard errors, z-scores, and one- and two-tailed probability values
Logistic Cycles in Research on Black Americans
The principal focus of the sociology of science is to discover the impact of social forces and events affecting the emergence of trends in research and theory-building. A recent article by Gaston and Sherohman (1974: 75-82) is a particular case in point. We consider this to be an interesting article principally for its potential as a pacesetting effort in the analysis of ethnic factors influencing the development of contemporary social research. …
Statistics
The Monotonic Relationship Criterion
Application of the K Measure with Severe Marginal Constraints
Journal Article Application of the K Measure with Severe Marginal Constraints Get access Kenneth J. Berry, Kenneth J. Berry Colorado State University Search for other works by this author on: Oxford Academic Google Scholar Thomas W. Martin, Thomas W. Martin Colorado State University Search for other works by this author on: Oxford Academic Google Scholar Paul W. Mielke, Jr. Paul W. Mielke, Jr. Colorado State University Search for other works by t…
Stratification and Mobility
A Permutation Technique for the Spatial Analysis of the Distribution of Artifacts into Classes
A permutation test for assessing intrasite patterning of artifact distributions in archaeological space is presented. This test requires none of the usual assumptions about the data; permits either exact locational or counts/grid data in one-, two-, or three-dimensional space; and provides an exact method for testing any hypothesis concerning the nonrandom allocation of artifacts into classes within a site
A Rapid FORTRAN Subroutine for the Fisher Exact Probability Test
Presented in the paper are a technical description, a recursion algorithm, and a FORTRAN computer subroutine to compute the one-and two-sided probability values for the Fisher exact probability test. The probability values are calculated recursively, without recourse to factorial expressions; consequently, a vast improvement in computational speed is achieved over previously published algorithms
Improvements in the Permutation Test for the Spatial Analysis of the Distribution of Artifacts into Classes
Refinements and extensions to the permutation test for assessing the intrasite patterning of artifact distributions in an archaeological space are presented. Specifically, a Pearson type III distribution is employed to approximate the sampling distribution of the test statistic, an improved weighting is introduced to increase the efficiency of the test, and a method is presented to permit the inclusion of unclassified artifacts in the spatial ana…
Subroutines for Computing Exact CHI-Square and Fisher's Exact Probability Tests
Algorithms for the exact chi-square test and the Fisher exact probability test are presented. One- and two-tailed probability values for each test are computed recursively. The use of an arbitrary initial value in the recursion provides a significant reduction in computation time over previously published algorithms
Goodman and Kruskal's TAU-B Statistic
Goodman and Kruskal's Tb statistic is frequently employed by sociologists to measure association among categorical polytomies. The test of the null hypothesis Tb = 0 is presently limited to an asymptotic approximation that fails to adjust for unbalanced marginals, yielding inaccurate probability values. This article details a nonasymptotic test of significance that adjusts for unbalanced marginals
Goodman and Kruskal's TAU-B Statistic
An algorithm and associated FORTRAN-77 computer subroutine are described for computing Goodman and Kruskal's tau-b statistic along with the associated nonasymptotic probability value under the null hypothesis Tb = 0
R by C CHI-Square Analyses with Small Expected Cell Frequencies
A nonasymptotic analysis algorithm based on Pearson's chi-square statistic is presented to investigate r by c contingency tables where small expected cell frequencies render the usual asymptotic analysis inappropriate. Following computation of the exact mean, variance, and skewness of this statistic under the conditional permutation distribution, the Pearson type III distribution yields the P value. A FORTRAN subroutine is provided for analyzing …
Exact Chi-Square and Fisher's Exact Probability Test for 3 by 2 Cross-Classification Tables
Subroutines to calculate exact chi-square and Fisher's exact probability tests are presented for 3 by 2 cross-classification tables. A nondirectional probability value for each test is computed recursively. The use of an arbitrary starting value in each recursion eliminates the cumbersome computation of initial probability values based on the hypergeometric distribution
Exact Confidence Limits for Proportions
A subroutine is presented to calculate exact confidence limits for the number of successes in a finite population, given a random sample drawn without replacement. The limits are calculated recursively from a series of hypergeometric probability distributions. The use of arbitrary starting values in each recursion eliminates the computation of initial probability values based on cumbersome factorial expressions
A Generalization of Cohen's Kappa Agreement Measure to Interval Measurement and Multiple Raters
Cohen's kappa statistic is frequently used to measure agreement between two observers employing categorical polytomies. In this paper, Cohen's statistic is shown to be inherently multivariate in nature; it is expanded to analyze ordinal and interval data; and it is extended to more than two observers. A nonasymptotic test of significance is provided for the generalized statistic
Mathematics (79 obras) · Statistics (75 obras) · Computer Science (45 obras) · Psychology (35 obras) · Advanced Statistical Methods and Models (29 obras) · Econometrics (23 obras) · Permutation (music (22 obras) · Combinatorics (21 obras) · Data mining (21 obras) · Resampling (19 obras)