The coverage performance of the confidence intervals (CIs) for the Root Mean Square Standardized Effect Size (RMSSE) was investigated in a balanced, one-way, fixed-effects, between-subjects ANOVA design. The noncentral F distribution-based and the percentile bootstrap CI construction methods were compared. The results indicated that the coverage probabilities of the CIs for RMSSE were not adequate
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
Given the current climate surrounding the replication crisis facing scientific research, a subsequen...
Master of ScienceDepartment of StatisticsPaul NelsonEffect size is a concept that was developed to b...
A robust Root Mean Square Standardized Effect Size (RMSSER) was developed to address the unsatisfact...
A confidence interval for effect sizes provides a range of plausible population effect sizes (ES) th...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
Confidence intervals for effect sizes (CIES) provide readers with an estimate of the strength of a r...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
The behavioral, educational, and social sciences are undergoing a paradigmatic shift in methodology,...
Effect size use has been increasing in the past decade in many research areas. Confidence intervals ...
Four different bootstrap methods for estimating confidence intervals (CIs) for a coefficient alpha d...
This paper presents the confidence intervals for the effect size base on bootstrap resampling metho...
This paper provides a brief review of the concepts of confidence intervals, effect sizes, and centra...
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
Given the current climate surrounding the replication crisis facing scientific research, a subsequen...
Master of ScienceDepartment of StatisticsPaul NelsonEffect size is a concept that was developed to b...
A robust Root Mean Square Standardized Effect Size (RMSSER) was developed to address the unsatisfact...
A confidence interval for effect sizes provides a range of plausible population effect sizes (ES) th...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
Confidence intervals for effect sizes (CIES) provide readers with an estimate of the strength of a r...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
The behavioral, educational, and social sciences are undergoing a paradigmatic shift in methodology,...
Effect size use has been increasing in the past decade in many research areas. Confidence intervals ...
Four different bootstrap methods for estimating confidence intervals (CIs) for a coefficient alpha d...
This paper presents the confidence intervals for the effect size base on bootstrap resampling metho...
This paper provides a brief review of the concepts of confidence intervals, effect sizes, and centra...
The power of a test, the probability of rejecting the null hypothesis in favor of an alternative, ma...
Given the current climate surrounding the replication crisis facing scientific research, a subsequen...
Master of ScienceDepartment of StatisticsPaul NelsonEffect size is a concept that was developed to b...