I bemieve the t test is paired , want to make usre beofre I run the stats. A researcher wanted to answer the following question: What is the difference in students' computer anxiety based on whether or not they own computers? The researcher surveyed 92 undergraduate education students via an online survey. In the survey, the researcher asked a yes-or-no question to determine if students owned computers. Participants' computer anxiety was measured using the Computer Anxiety Scale. Scores ranged from 0 to 40 with higher scores reflecting greater computer anxiety. This variable was measured on the interval scale. The researcher analyzed the data using what t test?
Not a t-Test. Is a Linear Regression to test for a relationship between PC ownership and Computer Anxiety
To determine which t-test to use in this scenario, we need to consider whether the data is paired or independent.
In your question, the researcher surveyed undergraduate education students to compare their computer anxiety based on whether or not they own computers. Since each student's computer anxiety is being compared based on their ownership status, the data is considered paired or dependent.
Therefore, to analyze the data, the researcher should use a paired t-test or a dependent samples t-test. This type of t-test is suitable when two related groups or variables are being compared, such as the computer anxiety scores of students who own computers versus those who do not.
The paired t-test would allow for a direct comparison of the mean differences in computer anxiety scores between the two groups, taking into account the paired nature of the data.
Before running the statistical analysis, it is important to check if the assumptions of the paired t-test are met, such as normality and independence of the differences in scores. It is also recommended to consult with a statistician or use statistical software to conduct the analysis accurately.