| 1 | New Effect Size Rules of Thumb | Journal of Modern Applied Statistical Methods | 2009 | 2,571 |
| 2 | Ordinal Versions of Coefficients Alpha and Theta for Likert Rating Scales | Journal of Modern Applied Statistical Methods | 2007 | 812 |
| 3 | Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality | Journal of Modern Applied Statistical Methods | 2015 | 461 |
| 4 | Beta-Weibull Distribution: Some Properties and Applications to Censored Data | Journal of Modern Applied Statistical Methods | 2007 | 230 |
| 5 | Some General Guidelines for Choosing Missing Data Handling Methods in Educational Research | Journal of Modern Applied Statistical Methods | 2014 | 187 |
| 6 | JMASM9: Converting Kendall's Tau For Correlational Or Meta-Analytic Analyses | Journal of Modern Applied Statistical Methods | 2003 | 176 |
| 7 | Determining Parallel Analysis Criteria | Journal of Modern Applied Statistical Methods | 2006 | 163 |
| 8 | Impact of Rank-Based Normalizing Transformations on the Accuracy of Test Scores | Journal of Modern Applied Statistical Methods | 2009 | 140 |
| 9 | The Q-Sort Method: Assessing Reliability And Construct Validity Of Questionnaire Items At A Pre-Testing Stage | Journal of Modern Applied Statistical Methods | 2002 | 133 |
| 10 | Recommended Sample Size for Conducting Exploratory Factor Analysis on Dichotomous Data | Journal of Modern Applied Statistical Methods | 2010 | 117 |
| 11 | Random Number Generators | Journal of Modern Applied Statistical Methods | 2003 | 104 |
| 12 | Some Ridge Regression Estimators and Their Performances | Journal of Modern Applied Statistical Methods | 2016 | 102 |
| 13 | Fermat, Schubert, Einstein, and Behrens-Fisher: The Probable Difference Between Two Means When σ_1^2≠σ_2^2 | Journal of Modern Applied Statistical Methods | 2002 | 99 |
| 14 | Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models to Estimate Educational Data | Journal of Modern Applied Statistical Methods | 2012 | 87 |
| 15 | The xgamma Distribution: Statistical Properties and Application | Journal of Modern Applied Statistical Methods | 2016 | 84 |
| 16 | Misconceptions Leading to Choosing the t Test Over the Wilcoxon Mann-Whitney Test for Shift in Location Parameter | Journal of Modern Applied Statistical Methods | 2005 | 83 |
| 17 | The Single-Case Data Analysis Package: Analysing Single-Case Experiments with R Software | Journal of Modern Applied Statistical Methods | 2013 | 83 |
| 18 | Ordinal Regression Analysis: Fitting the Proportional Odds Model Using Stata, SAS and SPSS | Journal of Modern Applied Statistical Methods | 2009 | 82 |
| 19 | Reliability and Statistical Power: How Measurement Fallibility Affects Power and Required Sample Sizes for Several Parametric and Nonparametric Statistics | Journal of Modern Applied Statistical Methods | 2007 | 81 |
| 20 | Comparison of the t vs. Wilcoxon Signed-Rank Test for Likert Scale Data and Small Samples | Journal of Modern Applied Statistical Methods | 2007 | 77 |
| 21 | Number of Replications Required in Monte Carlo Simulation Studies: A Synthesis of Four Studies | Journal of Modern Applied Statistical Methods | 2011 | 77 |
| 22 | Non-Normality Propagation among Latent Variables and Indicators in PLS-SEM Simulations | Journal of Modern Applied Statistical Methods | 2016 | 76 |
| 23 | Size and Power of the RESET Test as Applied to Systems of Equations: A Bootstrap Approach | Journal of Modern Applied Statistical Methods | 2004 | 71 |
| 24 | JMASM 49: A Compilation of Some Popular Goodness of Fit Tests for Normal Distribution: Their Algorithms and MATLAB Codes (MATLAB) | Journal of Modern Applied Statistical Methods | 2017 | 68 |
| 25 | Extensions Of The Concept Of Exchangeability And Their Applications | Journal of Modern Applied Statistical Methods | 2002 | 67 |
| 26 | Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality | Journal of Modern Applied Statistical Methods | 2002 | 66 |
| 27 | Gamma-Pareto Distribution and Its Applications | Journal of Modern Applied Statistical Methods | 2012 | 64 |
| 28 | Multi-Group Confirmatory Factor Analysis for Testing Measurement Invariance in Mixed Item Format Data | Journal of Modern Applied Statistical Methods | 2008 | 63 |
| 29 | Bimodality Revisited | Journal of Modern Applied Statistical Methods | 2007 | 60 |
| 30 | A comparison of different methods of zero-inflated data analysis and an application in health surveys | Journal of Modern Applied Statistical Methods | 2017 | 58 |
| 31 | Test statistics for the comparison of means for two samples that include both paired and independent observations | Journal of Modern Applied Statistical Methods | 2017 | 57 |
| 32 | Randomization Technique, Allocation Concealment, Masking, And Susceptibility Of Trials To Selection Bias | Journal of Modern Applied Statistical Methods | 2003 | 55 |
| 33 | Constructing Confidence Intervals for Spearman’s Rank Correlation with Ordinal Data: A Simulation Study Comparing Analytic and Bootstrap Methods | Journal of Modern Applied Statistical Methods | 2008 | 55 |
| 34 | Least Squares Percentage Regression | Journal of Modern Applied Statistical Methods | 2008 | 53 |
| 35 | Are Per-Family Type I Error Rates Relevant in Social and Behavioral Science? | Journal of Modern Applied Statistical Methods | 2015 | 52 |
| 36 | Model Comparisons Using Information Measures | Journal of Modern Applied Statistical Methods | 2003 | 51 |
| 37 | Sample Size Calculation and Power Analysis of Time-Averaged Difference | Journal of Modern Applied Statistical Methods | 2005 | 51 |
| 38 | Gumbel-Weibull Distribution: Properties and Applications | Journal of Modern Applied Statistical Methods | 2014 | 51 |
| 39 | Best Regression Model Using Information Criteria | Journal of Modern Applied Statistical Methods | 2002 | 50 |
| 40 | Outlier Impact and Accommodation Methods: Multiple Comparisons of Type I Error Rates | Journal of Modern Applied Statistical Methods | 2016 | 50 |
| 41 | Using SPSS to Analyze Complex Survey Data: A Primer | Journal of Modern Applied Statistical Methods | 2019 | 50 |
| 42 | Examining Cronbach Alpha, Theta, Omega Reliability Coefficients According to Sample Size | Journal of Modern Applied Statistical Methods | 2007 | 48 |
| 43 | JMASM36: Nine Pseudo R^2 Indices for Binary Logistic Regression Models (SPSS) | Journal of Modern Applied Statistical Methods | 2016 | 47 |
| 44 | Determining The Correct Number Of Components To Extract From A Principal Components Analysis: A Monte Carlo Study Of The Accuracy Of The Scree Plot | Journal of Modern Applied Statistical Methods | 2005 | 46 |
| 45 | You Think You’ve Got Trivials? | Journal of Modern Applied Statistical Methods | 2003 | 45 |
| 46 | Fortune Cookies, Measurement Error, And Experimental Design | Journal of Modern Applied Statistical Methods | 2003 | 45 |
| 47 | On the Properties of Beta-Gamma Distribution | Journal of Modern Applied Statistical Methods | 2007 | 45 |
| 48 | Parametric analyses in randomized clinical trials | Journal of Modern Applied Statistical Methods | 2002 | 43 |
| 49 | Which Is the Best Parametric Statistical Method For Analyzing Delphi Data? | Journal of Modern Applied Statistical Methods | 2009 | 43 |
| 50 | Improved Randomization Tests for a Class of Single-Case Intervention Designs | Journal of Modern Applied Statistical Methods | 2014 | 43 |