Reference health
Multiple comparison methods: Establishing guidelines for their valid application in neuropsychological research
62/62 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
15 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 62 checked references that resolve
resolves10.2307/1164656
Type I Error Rates for Yao's and James' Tests of Equality of Mean Vectors under Variance-Covariance Heteroscedasticity
resolves10.1111/j.2044-8317.1974.tb00540.x
THE ROBUSTNESS OF THE
<i>F</i>
TEST TO VIOLATIONS OF CONTINUITY AND FORM OF TREATMENT POPULATION†
resolves10.1037/0033-2909.97.1.119
Comparison of the power of the paired samples t test to that of Wilcoxon's signed-ranks test under various population shapes.
resolves10.1080/01621459.1981.10477617
Multiple Three-Decision Rules for Factorial Simple Effects: Bonferroni Wins Again!
resolves10.1080/01621459.1974.10482969
Simultaneous Statistical Inference on Interactions in Two-Way Analysis of Variance
resolves10.1037/h0032673
Extension of multiple-range tests to interaction tables in the analysis of variance: A rapid approximate solution.
resolves10.1037/h0037133
Reply to Keselman concerning Cicchetti's interpretation of the findings of Petrinovich and Hardyck.
resolves10.1080/01621459.1955.10501294
A Multiple Comparison Procedure for Comparing Several Treatments with a Control
resolves10.1080/01621459.1980.10477551
Pairwise Multiple Comparisons in the Homogeneous Variance, Unequal Sample Size Case
resolves10.1017/S0021859600003592
Studies in crop variation. II. The manurial response of different potato varieties
resolves10.1080/01621459.1937.10503522
The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
resolves10.2307/2528488
A Procedure for Testing the Homogeneity of All Sets of Means in Analysis of Variance
resolves10.1097/00005053-198201000-00002
Simultaneous Tests of Many Hypotheses in Exploratory Research
resolves10.1080/03610918808812650
Tables for a multivariate extension of the dunnett test when the control group and balanced experimental groups have different sample sizes
resolves10.1093/biomet/40.1-2.128
THE EFFECT OF UNEQUAL GROUP VARIANCES ON THE <i>F</i>-TEST FOR THE HOMOGENEITY OF GROUP MEANS
resolves10.2307/2529275
Some New Multiple Comparison Procedures for the Two-Way AOV Model with Interaction
resolves10.1037/0033-2909.88.2.356
Type I and Type II errors in simultaneous and two-stage multiple comparison procedures.
resolves10.2307/1164652
Repeated Measures Multiple Comparison Procedures: Effects of Violating Multisample Sphericity in Unbalanced Designs
resolves10.1177/001316447603600203
Effect of Very Unequal Group Sizes On Tukey's Multiple Comparison Test
resolves10.1037/h0034628
Error rates for multiple comparison methods: Some evidence concerning the misleading conclusions of Petrinovich and Hardyck.
resolves10.1177/001316447403400304
Comparison of Tukey's T-Method and Scheffé's S-Method for Various Numbers of All Possible Differences of Averages Contrasts Under Violation of Assumptions
resolves10.1007/BF01908269
The use of the „studentized range” in connection with an analysis of variance
resolves10.2307/3001469
Extension of Multiple Range Tests to Group Means with Unequal Numbers of Replications
resolves10.1037/0033-2909.87.2.238
Factors that affect Type I and Type II error rates in the analysis of multidimensional contingency tables.
resolves10.1093/biomet/31.1-2.20
THE DISTRIBUTION OF RANGE IN SAMPLES FROM A NORMAL POPULATION, EXPRESSED IN TERMS OF AN INDEPENDENT ESTIMATE OF STANDARD DEVIATION
resolves10.2307/2531110
The Appropriateness of Analysis of Variance and Multiple-Comparison Procedures
resolves10.1037/h0026861
Error rates for multiple comparison methods: Some evidence concerning the frequency of erroneous conclusions.
resolves10.1037/h0044320
Significance tests for multiple comparison of proportions, variances, and other statistics.
resolves10.1037/0033-2909.88.2.354
Comment on "Protecting the overall rate of Type I errors for pairwise comparisons with an omnibus test statistic": or Fisher's two-stage strategy still does not work.
resolves10.2307/2529723
374: A Modification of the Bonferroni Procedure on Contrasts Which are Grouped into Internally Independent Sets
resolves10.2307/2529779
Multiple Comparisons Emphasizing Selected Contrasts: An Extension and Generalization of Dunnett's Procedure
resolves10.1111/j.2044-8317.1984.tb00786.x
Paired comparison experiments involving all possible pairs
resolves10.1080/00401706.1979.10489726
Tables of the Studentized Maximum Modulus Distribution and an Application to Multiple Comparisons Among Means
resolves10.1111/j.2044-8317.1974.tb00538.x
USE OF THE BONFERRONI INEQUALITY FOR MULTIPLE COMPARISONS AMONG MEANS WITH
<i>POST HOC</i>
CONTRASTS
The 15 references without a DOI — listed, not checked
no DOI — not checkedHeteroscedastic ANOVA
no DOI — not checkedAnalysis of variance with unequal variances test procedures and tables
no DOI — not checkedStudies in research methodology VII: The Central Limit effect for two dozen populations and its correlation with population moments
no DOI — not checkedStatistical power analysis for the behavioral sciences
no DOI — not checkedThe design and analysis of clinical experiments
no DOI — not checkedCIT0028
no DOI — not checkedA review of F.N. Kerlinger's Foundations of behavioral research
no DOI — not checkedA primer of multivariate statistics
no DOI — not checkedPaper presented at the joint meeting of the American Statistical Association
no DOI — not checkedFoundations of behavioral research
no DOI — not checkedIntroduction to statistics: A nonparametric approach for the social sciences
no DOI — not checkedAdvances in multiple comparisons in the last decade
no DOI — not checkedCIT0058
no DOI — not checkedCIT0072
no DOI — not checkedMultiple comparisons for researchers
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