Ken Kelley

Summary

Affiliation: University of Notre Dame
Country: USA

Publications

  1. doi request reprint On effect size
    Ken Kelley
    Department of Management, Mendoza College of Business, University of Notre Dame, Notre Dame, IN 46556, USA
    Psychol Methods 17:137-52. 2012
  2. ncbi request reprint Obtaining power or obtaining precision. Delineating methods of sample-size planning
    Ken Kelley
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    Eval Health Prof 26:258-87. 2003
  3. ncbi request reprint Sample size for multiple regression: obtaining regression coefficients that are accurate, not simply significant
    Ken Kelley
    Department of Psychology, University of Notre Dame, Indiana 46556, USA
    Psychol Methods 8:305-21. 2003
  4. ncbi request reprint Assessing the assumption of symmetric proximity measures in the context of multidimensional scaling
    Ken Kelley
    Department of Psychology, 118 Haggar Hall, University of Notre Dame, Indiana 46556, USA
    J Appl Meas 5:419-29. 2004
  5. doi request reprint The average rate of change for continuous time models
    Ken Kelley
    Department of Management, University of Notre Dame, Notre Dame, Indiana 46556, USA
    Behav Res Methods 41:268-78. 2009
  6. doi request reprint Sample size planning for longitudinal models: accuracy in parameter estimation for polynomial change parameters
    Ken Kelley
    Department of Management, Mendoza College of Business, University of Notre Dame, IN 46556, USA
    Psychol Methods 16:391-405. 2011
  7. doi request reprint Accuracy in parameter estimation for ANCOVA and ANOVA contrasts: sample size planning via narrow confidence intervals
    Keke Lai
    University of Notre Dame, Indiana 46556, USA
    Br J Math Stat Psychol 65:350-70. 2012
  8. ncbi request reprint Sample size planning for statistical power and accuracy in parameter estimation
    Scott E Maxwell
    Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556, USA
    Annu Rev Psychol 59:537-63. 2008
  9. ncbi request reprint Analytic methods for questions pertaining to a randomized pretest, posttest, follow-up design
    Joseph R Rausch
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    J Clin Child Adolesc Psychol 32:467-86. 2003
  10. doi request reprint Accuracy in parameter estimation for targeted effects in structural equation modeling: sample size planning for narrow confidence intervals
    Keke Lai
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    Psychol Methods 16:127-48. 2011

Collaborators

Detail Information

Publications18

  1. doi request reprint On effect size
    Ken Kelley
    Department of Management, Mendoza College of Business, University of Notre Dame, Notre Dame, IN 46556, USA
    Psychol Methods 17:137-52. 2012
    ..We hope that this article will facilitate discussion and improve the practice of reporting and interpreting effect sizes...
  2. ncbi request reprint Obtaining power or obtaining precision. Delineating methods of sample-size planning
    Ken Kelley
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    Eval Health Prof 26:258-87. 2003
    ..The authors emphasize that the correct conceptualization of sample-size planning depends on the research questions and particular goals of the study...
  3. ncbi request reprint Sample size for multiple regression: obtaining regression coefficients that are accurate, not simply significant
    Ken Kelley
    Department of Psychology, University of Notre Dame, Indiana 46556, USA
    Psychol Methods 8:305-21. 2003
    ..Issues involving standardized regression coefficients and random predictors are discussed, as are the philosophical differences between AIPE and the power analytic approaches to sample size planning...
  4. ncbi request reprint Assessing the assumption of symmetric proximity measures in the context of multidimensional scaling
    Ken Kelley
    Department of Psychology, 118 Haggar Hall, University of Notre Dame, Indiana 46556, USA
    J Appl Meas 5:419-29. 2004
    ..The proposed procedure makes use of the bootstrap technique and alleviates the assumptions of parametric statistical procedures. Computer code for R and S-Plus is included in an appendix in order to carry out the proposed procedures...
  5. doi request reprint The average rate of change for continuous time models
    Ken Kelley
    Department of Management, University of Notre Dame, Notre Dame, Indiana 46556, USA
    Behav Res Methods 41:268-78. 2009
    ....
  6. doi request reprint Sample size planning for longitudinal models: accuracy in parameter estimation for polynomial change parameters
    Ken Kelley
    Department of Management, Mendoza College of Business, University of Notre Dame, IN 46556, USA
    Psychol Methods 16:391-405. 2011
    ..g., 99%) that the confidence interval will be sufficiently narrow. We make computer routines freely available, so that the methods developed can be used by researchers immediately...
  7. doi request reprint Accuracy in parameter estimation for ANCOVA and ANOVA contrasts: sample size planning via narrow confidence intervals
    Keke Lai
    University of Notre Dame, Indiana 46556, USA
    Br J Math Stat Psychol 65:350-70. 2012
    ..All of the methods we propose have been implemented in the freely available MBESS package in R so that they can be easily applied by researchers...
  8. ncbi request reprint Sample size planning for statistical power and accuracy in parameter estimation
    Scott E Maxwell
    Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556, USA
    Annu Rev Psychol 59:537-63. 2008
    ..The review provides an overview of the logic behind sample size planning for AIPE and summarizes recent advances in implementing this approach in designs commonly used in psychological research...
  9. ncbi request reprint Analytic methods for questions pertaining to a randomized pretest, posttest, follow-up design
    Joseph R Rausch
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    J Clin Child Adolesc Psychol 32:467-86. 2003
    ..It is also demonstrated that how the posttest and the follow-up are utilized in the analysis of group differences is determined by the specific question asked by the researcher...
  10. doi request reprint Accuracy in parameter estimation for targeted effects in structural equation modeling: sample size planning for narrow confidence intervals
    Keke Lai
    Department of Psychology, University of Notre Dame, Notre Dame, IN 46556, USA
    Psychol Methods 16:127-48. 2011
    ..The methods developed have been implemented in the MBESS package in R so that they can be easily applied by researchers...
  11. doi request reprint Effect size measures for mediation models: quantitative strategies for communicating indirect effects
    Kristopher J Preacher
    Department of Psychology, University of Kansas, 1415 Jayhawk Boulevard, Room 426, Lawrence, KS 66045 7556, USA
    Psychol Methods 16:93-115. 2011
    ..We supplement our discussion by offering easy-to-use R tools for the numerical and visual communication of effect size for mediation effects...
  12. doi request reprint Interpreting results of clinical trials: a conceptual framework
    Ajay K Singh
    Clin J Am Soc Nephrol 3:1246-52. 2008
  13. ncbi request reprint Sample size planning for the coefficient of variation from the accuracy in parameter estimation approach
    Ken Kelley
    Inquiry Methodology Program, Indiana University, Bloomington, Indiana 47405, USA
    Behav Res Methods 39:755-66. 2007
    ..Freely available computer routines have been developed that allow researchers to easily implement all of the methods discussed in the article...
  14. ncbi request reprint Sample size planning for the standardized mean difference: accuracy in parameter estimation via narrow confidence intervals
    Ken Kelley
    Inquiry Methodology Program, Indiana University, Bloomington, IN 47405, USA
    Psychol Methods 11:363-85. 2006
    ..The freely available Methods for the Behavioral, Educational, and Social Sciences (K. Kelley, 2006a) R (R Development Core Team, 2006) software package easily implements the methods discussed...
  15. ncbi request reprint Methods for the behavioral, educational, and social sciences: an R package
    Ken Kelley
    Inquiry Methodolgy Program, Indiana University, Bloomington, Indiana 47405, USA
    Behav Res Methods 39:979-84. 2007
    ..MBESS is a long-term project that will continue to be updated and expanded so that important methods can continue to be made available to researchers in the behavioral, educational, and social sciences...
  16. pmc Analyzing change: a primer on multilevel models with applications to nephrology
    Jocelyn E Holden
    Inquiry Methodology Program, Indiana University Bloomington, Bloomington, Indiana, USA
    Am J Nephrol 28:792-801. 2008
    ..The present article provides a primer on the use of multilevel modeling to study change. An example from a clinical study is detailed and the method for implementation in SAS is provided...
  17. ncbi request reprint Proteinuria is a determinant of quality of life in diabetic nephropathy: modeling lagged effects with path analysis
    Ken Kelley
    Inquiry Methodology Program, Indiana University, Bloomington, Ind, USA
    Am J Nephrol 27:488-94. 2007
    ..Diabetic nephropathy with overt proteinuria often progresses relentlessly to end-stage renal disease (ESRD)...
  18. doi request reprint Diagnostic utility of blood volume monitoring in hemodialysis patients
    Rajiv Agarwal
    Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
    Am J Kidney Dis 51:242-54. 2008
    ..Assessment of volume state is difficult in hemodialysis patients. Whether continuous blood volume monitoring can improve the assessment of volume state is unclear...