This report describes the use of indirect estimation methods to estimate racial/ethnic populations in health care records, which often lack such data, and the use of such methods to measure and monitor disparities in quality of care.
In applied psychology research settings, such as criminal psychology, missing data are to be expected. Missing data can cause problems with both biased estimates and lack of statistical power. The paper aims to discuss these issues.
Researchers have two main reasons for caring about non-response. First, it is important to ensure that survey findings are unbiased and representative, and second, concern about survey non-response is a key reason given by those who ignore or chose not to act on the findings of research.
How can researchers and the users of survey research move from a knee-jerk dismissal of survey findings to being comfortable trusting and acting on the findings? Likely ways forward include emphasizing the methodology, triangulating the evidence, acknowledging the limitations, and developing good communication and trust between parties.
This tutorial provides an introduction to TWANG and demonstrates its use through illustrative examples. This tool includes the TWANG commands for Stata, a tutorial on their use, and the sample code and datasets used in the tutorial.
Videos with step-by-step procedures for implementing propensity score analyses involving two or more treatment groups using the TWANG (Toolkit for Weighting and Analysis of Nonequivalent Groups) data analysis package.
Sensitivity analysis lets researchers test and explore some of the assumptions that underlie their findings. These might be assumptions about a relationship, data that's been excluded, or which part of an analysis is most important.
Corruption can hinder global business investment -- particularly in emerging markets -- but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.
Corruption can hinder global business investment — particularly in emerging markets — but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.
Mixture models are useful for monitoring the behavior of data and for offering comparisons to supplemental data, especially in the presence of unobserved heterogeneity, but one should be highly cautious when drawing causal inferences as to which population each component of the fitted mixture model represents.
Although countries with high levels of economic development generally have more personal automobile travel than less-affluent nations, income is not the only factor that determines a nation's demand for cars.
Automobility -- travel in personal vehicles -- varies between countries. This brief summarizes a study of the factors besides economic development that affect automobility and how automobility might evolve in developing countries.
The level of automobility, or travel in personal vehicles, varies among countries. By determining the factors besides economic development that have affected automobility in developed countries, researchers can predict how automobility might evolve in developing countries.