Paul R. Yarnold, Ph.D. and Ariel Linden, Dr.P.H. Optimal Data Analysis, LLC and Linden Consulting Group, LLC This paper illustrates testing directional hypotheses for test-retest Likert ratings of positive and negative emotional states and personality traits for males and females, using the Stata package for implementing ODA. View journal article
Category: Volume 10, Release 1
Executing ODA from Within Stata: Combining Random Forests and ODA to Estimate Treatment Effects for Multi-Valued Treatments (Invited)
Ariel Linden, Dr. P.H. Linden Consulting Group, LLC This paper demonstrates how the random forest algorithm can be used in conjunction with ODA to estimate treatment effects for multivalued treatments using the new Stata package for implementing ODA. View journal article
Implementing ODA from Within Stata: Assessing Split-Half Reliability Using a Polychotomous Attribute
Paul R. Yarnold, Ph.D. and Ariel Linden, Dr. P.H. Optimal Data Analysis, LLC & Linden Consulting Group, LLC This paper illustrates testing a directional (i.e., confirmatory) hypotheses for a split-half reliability study using a polychotomous attribute having four categories, via the Stata package for implementing ODA. View journal article
Implementing ODA from Within Stata: Assessing Parallel-Forms Reliability Using a Binary and an Ordered Attribute
Paul R. Yarnold, Ph.D. and Ariel Linden, Dr. P.H. Optimal Data Analysis, LLC & Linden Consulting Group, LLC This paper illustrates testing a directional (i.e., confirmatory) hypotheses for a parallel-forms reliability study using a binary and an ordered measure, via the Stata package for implementing ODA. View journal article
Executing ODA from Within Stata: Combining Boosted Regression and ODA to Estimate Treatment Effects for Multi-Valued Treatments
Ariel Linden, Dr. P.H. and Paul R. Yarnold, Ph.D. Linden Consulting Group, LLC & Optimal Data Analysis, LLC This paper demonstrates how boosted regression can be used in conjunction with ODA to estimate treatment effects for multivalued treatments using the new Stata package for implementing ODA. View journal article
Implementing ODA from Within Stata: Confirmatory and Exploratory Inter-Rater Reliability Hypothesis with a Three-Category Ordinal Rating
Paul R. Yarnold, Ph.D. and Ariel Linden, Dr. P.H. Optimal Data Analysis, LLC & Linden Consulting Group, LLC This paper illustrates testing directional (confirmatory) and non-directional (exploratory) hypotheses for an inter-rater reliability study using a three-category ordinal measure, via the Stata package for implementing ODA. View journal article
ODA Model Perfectly Predicts S&P 500 Declines of 20% or Greater
Paul R. Yarnold. Ph.D. Optimal Data Analysis, LLC The Shiller price-to-earnings (P/E) ratio assesses mean inflation-adjusted earnings in the prior decade.1 Five times over the past 150 years this index consistently exceeded 30 during a bull market run. Two times were during the Great Depression and the “dot-com” bubble, and both resulted in record declines … Continue reading ODA Model Perfectly Predicts S&P 500 Declines of 20% or Greater
Implementing ODA from Within Stata: Exploratory Hypothesis, Three-Category Class Variable, Continuous Attribute
Paul R. Yarnold, Ph.D. and Ariel Linden, Dr. P.H. Optimal Data Analysis, LLC & Linden Consulting Group, LLC This paper describes how to test a non-directional (exploratory) hypothesis for a design relating a three-category class (“dependent”) variable and a continuous attribute vis-à-vis the Stata package for implementing ODA. View journal article
