8210 week 5 Dis info

2

Colleague Response

Respond to one of your colleagues’ posts in 125- word response and explain the benefits and consequences of the “relaxed” level of significance.

Sarah Miller

Top of Form

Statistical significance pertains to the critical value of a statistic and making a decision about whether the null hypothesis is thrown out or the researcher fails to reject the null hypothesis (Laureate Education, 2016). Meaningfulness is when the researcher takes the statistic and determines its applicability to the real world (Laureate Education, 2016)

The explanation, “Given this research was exploratory in nature, traditional levels of significance to reject the null hypothesis were relaxed to .10 level,” suggests that a research study was finished using the exploratory research method. Exploratory research is regularly used to formulate a hypothesis.

Frankfort-Nachmias (2021) states, “Statistical hypothesis testing is a procedure that allows us to evaluate hypotheses about population parameters based on sample statistics.” (p. 242) and the null hypothesis is simply a statement that is counter to the hypothesis, a statement of “no difference.” Null hypothesis contradicts the research hypothesis and explains that a difference doesn’t exist between the population means and some specified value (p-value). The alpha is the level of significance at which the null hypothesis is rejected. The p value threshold is < 0.05 which is significantly strict. Relaxing the strictness or the p value to  <0.10 creates a predictability that is greater in weakness. 

References

Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2021). Social Statistics 

for a Diverse Society (9th ed.). Sage. 

Laureate Education (Producer). (2016f). Meaningfulness vs. statistical significance [Video file]. 

Baltimore, MD: Author.

Bottom of Form