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 ...

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

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 ...

The first reason for caring about how sensitive our standardized tests are to instruction is moral. If the tests we use to judge the effects of instruction on student learning are not sensitive to ...

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...

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 ...