Comparing Exact Discrete 95% CIs for Model vs. Chance ESS to Evaluate Statistical Significance

Paul R. Yarnold

Optimal Data Analysis, LLC

Satisfaction ratings (1=very dissatisfied; 2=somewhat dissatisfied; 3=neutral; 4=somewhat satisfied; 5=very satisfied) provided by 4,583 hospital patients in three successive cohorts (two consecutive 3-month-long base¬line cohorts and one 3-month-long post-intervention cohort) were compared to evaluate a program which was designed to increase patient-rated satisfaction with in-hospital received care (Table 1).

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Optimal Analyses for Cohort Tables

Paul R. Yarnold

Optimal Data Analysis, LLC

Cross-classification tables may be created for one or more “cohorts”— groups of observations defined by a common event such as the year of one’s birth, graduation, employment, marriage, disease diagnosis or incarceration—and assessed at two or more points in time on one or more variables reflecting the substantive focus of the study. This article demonstrates exploratory maximum-accuracy evaluation of cohort, aging, and time effects for a standard cohort table.

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Using ODA to Ascertain if Stratification Yields Different Transition Matrices

Paul R. Yarnold

Optimal Data Analysis, LLC

When a first-order Markov model cannot be confirmed one approach is subdividing the sample into strata each having a distinct set of transition probabilities. This note demonstrates the use of ODA to assess whether stratification resulted in significantly different transition matrices.

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