Since I am using a causal-comparative design from an ex post facto perspective to measure the statistical relationship (if any exists) between middle teachers' access to technology resources for STEM teaching and their reported preferences for using STEM based lessons in their classrooms, I will not be conducting any new experimentation. Instead, I will be analyzing the previously reported data to look for a possible significant relationship. The research question for my quantitative mini study from the Yasar (2006) article is as follows:

Q1: To what extent is there a relationship between middle teachers' accessibility to STEM technology resources and their indicated preferences to use STEM-based lessons in their classroom on the DET survey? The decision I am left with is to whether further revise my research question and hypotheses statements to focus on the positive relationship aspect only. This would transform my mini project into a directional hypothesis and becoming a one tailed test (American College of Education, 2022). It would be a more powerful and more sensitive measure, but it could also result in more Type-2 Errors. Type-2 Errors happen when the alternative hypothesis could have shown to be accepted when it should have failed to be accepted (American College of Education, 2022). I should further revise my research question and hypotheses statements to convert my study into a one-tailed test with a directional hypothesis?