1. What is the problem with the typical use and interpretation of the t-ratio for inference in just-identified IV models? Practitioners typically use the critical values ±1.96 for the IV t-ratio when ...

This work proposes new inference methods for a regression coefficient of interest in a (heterogenous) quantile regression model. We consider a high-dimensional model where the number of regressors ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

In all aspects of conducting a study we are trying to ensure we can make valid inference. In this sense much of application of statistics is concerned with ensuring valid inference. In many types of ...

This quasi-experimental study examined the effects of a strategy for making text-dependent inferences—with and without embedded self-regulation skills—on the reading comprehension of 24 middle-grade ...

In all aspects of conducting a study we are trying to ensure we can make valid inference. In this sense much of application of statistics is concerned with ensuring valid inference. In many types of ...