Kenneth J Berry

Biographic Data

ID3792467
NAMEKenneth J Berry
GIVEN NAMESKenneth J
FAMILY NAMEBerry
SIGNATUREBERRY K J
AFFILIATIONSColorado State University
VERIFIEDNo
TOTAL WORKS87
TOTAL CITATIONS18
AUTHOR COUNT87
EDITOR COUNT0
FIRST PUBLICATION YEAR1973
LATEST PUBLICATION YEAR2010
H-INDEX3

  • Maximum-Corrected and Chance-Corrected Measures of Effect Size for the Mantel–Haenszel Test

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2010

    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

    Open AccessMichael A Long, Kenneth J Berry et al.ARTICLEPsychological Reports2010

    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

    Open AccessMichael A Long, Kenneth J Berry et al.ARTICLEEducational and Psychological…2009

    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

    Janis E Johnston, Kenneth J Berry et al.ARTICLEHistorical Methods A Journal of…2009

    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

    Open AccessPaul W Mielke, Kenneth J Berry et al.ARTICLEPsychological Reports2008

    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

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2008

    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

    Open AccessJanis E Johnston, Kenneth J Berry et al.ARTICLEPsychological Reports2008

    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

    Open AccessPaul W Mielke, Kenneth J Berry et al.ARTICLEPsychological Reports2007

    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

    Open AccessPaul W Mielke, Kenneth J Berry et al.ARTICLEPsychological Reports2007

    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

    Open AccessMichael A Long, Kenneth J Berry et al.ARTICLEPsychological Reports2007

    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

    Open AccessPaul W Mielke, Kenneth J BerryARTICLEPsychological Reports2007

    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

    Open AccessKenneth J Berry, JAMS E JOHNSTON et al.ARTICLEPsychological Reports2006

    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

    Kenneth J BerryARTICLEPsychological Reports2006

  • Resampling Probability Values for Differences between Two Independent Indices of Ordinal Variation and Consensus

    Open AccessJanis E Johnston, Kenneth J Berry et al.ARTICLEPsychological Reports2006

    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

    Kenneth J BerryARTICLEPsychological Reports2006

  • Exact and Resampling Probability Values for Measures Associated with Ordered R by C Contingency Tables

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2006

    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

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2005

    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

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2005

    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

    Open AccessPaul W Mielke, Janis E Johnston et al.ARTICLEPsychological Reports2004

    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

    Open AccessPaul W Mielke, Kenneth J Berry et al.ARTICLEPsychological Reports2004

    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

    Open AccessKenneth J Berry, Paul W MielkeARTICLEPsychological Reports2003

    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

    Open AccessKenneth J Berry, Janis E Johnston et al.ARTICLEPsychological Reports2003

    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

    Kenneth J BerryARTICLEPsychological Reports2003

  • Longitudinal Analysis of Data With Multiple Binary Category Choices

    Kenneth J BerryARTICLEPsychological Reports2003

  • Multivariate Multiple Regression Prediction Models

    Paul W Mielke, Kenneth J BerryARTICLEPsychological Reports2003

    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