Janis E Johnston
Biographic Data
| ID | 4257287 |
|---|---|
| NAME | Janis E Johnston |
| GIVEN NAMES | Janis E |
| FAMILY NAME | Johnston |
| SIGNATURE | JOHNSTON J E |
| AFFILIATIONS | Colorado State University |
| ORCID | 0000-0003-1037-8237 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2010 |
| H-INDEX | 1 |
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
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 Permutation Probability Values for Weighted Kappa
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
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
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.…
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
Environmental Inequity
This study extends ideas of environmental equity to large-scale hog operations. We investigate counties in 17 hog producing states to determine whether large-scale hog operations are more likely to be sited and expanded in areas that have a disproportionate number of Black, Hispanic, and/or economically disadvantaged residents. The data for this work come from the U.S. Department of Agriculture and the U.S. Bureau of Census. We discover evidence …
Environmental Inequity
This study extends ideas of environmental equity to large-scale hog operations. We investigate counties in 17 hog producing states to determine whether large-scale hog operations are more likely to be sited and expanded in areas that have a disproportionate number of Black, Hispanic, and/or economically disadvantaged residents. The data for this work come from the U.S. Department of Agriculture and the U.S. Bureau of Census. We discover evidence …
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
Environmental Inequity
This study extends ideas of environmental equity to large-scale hog operations. We investigate counties in 17 hog producing states to determine whether large-scale hog operations are more likely to be sited and expanded in areas that have a disproportionate number of Black, Hispanic, and/or economically disadvantaged residents. The data for this work come from the U.S. Department of Agriculture and the U.S. Bureau of Census. We discover evidence …
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.…
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
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
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 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
Resampling Permutation Probability Values for Weighted Kappa
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
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
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
Mathematics (15 works) · Statistics (14 works) · Permutation (music (11 works) · Psychology (9 works) · Resampling (9 works) · Combinatorics (7 works) · Reliability and Agreement in Measurement (7 works) · Computer Science (6 works) · Kappa (6 works) · Statistical Methods in Clinical Trials (5 works)