Multiple Regression Effect Size

Structural equation modeling (SEM) is an increasingly popular choice for quantitative statistical analyses, as it allows researchers to model complex relationships while taking into account measurement error of latent variables. Although there are great advantages to using SEM, the complexity of the analysis can be daunting, especially for students or beginning researchers. One of the most troublesome issues students face… Continue Reading

An important aspect of writing your methodology is determining an appropriate sample size. While it is a good idea to review past studies to see what previous researchers have estimated and achieved in terms of sample size, you should base your sample size estimations on your unique study parameters and what is feasible in terms of your population and procedures…. Continue Reading

Every study that has ever been conducted, or will ever be conducted, has limitations. Identifying the limitations inherent to your study is not only an important part of the research process, but also important for future researchers to consider in framing their studies. Although anyone well-versed in research expects you to acknowledge weaknesses of your research, there is an art… Continue Reading