University:
Swinburne University
Course:
PSY10005 | Introduction to Research Methods
Academic year:

2024
Views:

60

Pages:

2
Author:

Nesbyenvkk

Research Methods and Data Analysis in Psychology I You should download and use the data file called “Surveydata.sav” to complete the homework. This is the same SPSS file you used for practice during discussion section. 1. Make a scatter plot in SPSS that visualizes the relationship between number of Instagram followers and average number of likes on Instagram posts. Plot number of Instagram followers on x-axis and average number of likes on Instagram posts on y-axis. Paste your scatter plot below (1 pt). 2. Compute the correlation between number of Instagram followers and average number of likes on Instagram posts, and fill in your answers below (4 pts, one for each answer below): a. Correlation: Positive, p-value less than 0.05 so there is evidence to back up that the correlation is statistically significant. b. Strength (none/weak/moderate/strong): Moderate, because the Pearson correlation value is 0.619 which is less than 0.7 c. Is the p-value less than .05? Yes, the p-value is 0.000 d. Degrees of freedom: We have two variables, so the degrees of freedom would be N-2, which is 93. 3. Write one sentence below to report your statistical result as you would in a paper (2 pts) There was a significantly positive correlation between the variables: Quantity of Instagram followers and likes on Instagram publications. r(93) = 0.619, p-value < 0.05 4. Write a sentence or two to interpret your result (1 pt). This indicates that the more Instagram followers an individual has, the more likes they will have in their Instagram publications. This can be inferred because the data showed that participants who had more followers tended to have more likes in their Instagram publications. 5. Compare the strength of the relationship for Instagram (followers with likes) with the relationship between number of facebook friends and facebook likes that you found in this sample during discussion. What is your interpretation of the comparison? (2 pts). They are both statistically significant correlations as their p-value is 0.000. Both are positive correlations between their variables. The difference can be seen in the strength of the correlation, while the Instagram one is moderate, the Facebook one is a weaker correlation. (Instagram correlation: r (93) = 0.619 while Facebook correlation: r(93)= 0.410).