A_Perez_PSY 510 SPSS Assignment 4

docx

School

Mountain View College *

*We aren’t endorsed by this school

Course

2301

Subject

Psychology

Date

Feb 20, 2024

Type

docx

Pages

6

Uploaded by BarristerDog3599

Report
PSY 510 SPSS Assignment 4 Before you begin the assignment: Review the video tutorial in the Module Eight resources for an overview of comparing means in SPSS. Download and open the Food Consumption SPSS data set. To submit your assignment: The best way to paste your output into the Assignment document is to do the following: o Select Copy when copying from the SPSS output. o To paste in Word, your document must be open within the VDI. Use a shared drive (such as OneDrive) or access your learning environment within the virtual desktop to download this document. o Select Paste and then resize the image to fit the screen in Word. An overview of the data set: The results of a hypothetical experiment are in the data set. The experiment examined dieting, food consumption, and mood. In session one , participants ate at a popular restaurant. Researchers measured the amount of food eaten and their mood. Those results are recorded as consumption1 and mood1 variables. One week later, in session two , participants again ate at the restaurant while watching a funny movie. Researchers measured the amount of food eaten and their mood. Those results are consumption2 and mood2 variables. Participants’ body image and self-esteem were also measured. The variables : Subnum: The ID number of each participant Dietingstatus: Participants who were not dieting were coded as 1; those who were dieting were coded as 2. Consumption1: The amount of food (in ounces) eaten in session 1 Consumption2: The amount of food (in ounces) eaten in session 2 Mood1: Participants’ mood at time 1; scale ranged from 1 (negative mood) to 10 (positive mood) Mood2: Participants’ mood at time 2; scale ranged from 1 (negative mood) to 10 (positive mood) Bodyimage: Participants’ self-reported body satisfaction on a scale ranged 25 (dissatisfied) to 50 (satisfied) Selfesteem: Participants’ self-esteem rating on a scale from 15 (low self-esteem) to 30 (high self- esteem) Questions: To complete this assignment, replace the bracketed text with the relevant information. 1a) Run a means test to compare the means of dieters and non-dieters on the bodyimage and selfesteem variables.
1b) From the Report output, describe the difference in the means between bodyimage and dietingstatus . Describe the difference in means between selfesteem and dietingstatus . In this particular dataset, it is evident that there is a slight variation in the means. However, it is not significant enough to make a notable difference. Specifically, the average score for body image among participants who did not diet was 41.9, while for those who did diet it was 38.0. The mean for self- esteem among non-dieting individuals was 23.8 and for dieters it was 22.0 2a) To explore the relationship between bodyimage and dietingstatus and selfesteem and dietingstatus , use an independent samples t-test because you have two unrelated groups (dieting and non-dieting).
2b) Review the Independent Samples Test output. Look at the Sig. (2-tailed) column to decide the level of statistical significance. Is there significance with either variable? Explain how to determine statistical significance. Discuss your conclusion about the relationship between dieting status on bodyimage and selfesteem . We can observe that the body image has a p-value of .016 and self-esteem has a p-value of .098. As per standard guidelines, any value below .05 is considered significant. Based on this, I interpret that there is a significant correlation between dieting and body image, while the connection between dieting and self-esteem is not significant. 3a) Calculate the means for consumption1, consumption2, mood1 , and mood2 .
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
Report dietingstatus consumption1 consumption2 mood1 mood2 not dieting Mean 18.5333 22.1333 5.4000 6.5333 N 15 15 15 15 Std. Deviation 4.17247 5.43621 2.06328 1.72654 dieting Mean 15.0000 17.6000 5.6000 6.6000 N 15 15 15 15 Std. Deviation 2.85357 3.62137 2.09762 1.88225 Total Mean 16.7667 19.8667 5.5000 6.5667 N 30 30 30 30 Std. Deviation 3.94517 5.09045 2.04686 1.77499 3b) From the Descriptive Statistics output, discuss the means from session one and session two on the variables consumption and mood . By examining the averages, we can see that there was minimal change in consumption from time 1 to time 2. When it came to non-dieting participants, their average consumption increased from 18.5 at consumption 1 to 22.1 at consumption 2, which is only a difference of 3.6. On the other hand, dieting participants had an average consumption of 15.0 at consumption 1 and 17.6 at consumption 2, which is only a difference of 2.6. As for their mood, non-dieting participants had an average mood of 5.4 at mood 1 and 6.5 at mood 2, which is a difference of only 1.1 between them. Comparatively, dieting participants had an average mood of 5.6 at mood 1 and 6.6 at mood 2, which is also only a difference of one point. 3c) Select Analyze , then Compare Means , then Paired-Samples T Test .
3d) From the Paired Samples Test output, locate the Sig. (2-tailed) column. What do the p values tell you about the data? Are the findings statistically significant? Discuss your conclusions about session 1 and session 2 consumption and mood variables. From the columns, we can see that the p-value for consumption was <.001, and the p-value for mood was <.001. This suggests that both tests are statistically significant since any value less than .05 is considered significant. Based on this knowledge, I would conclude that there are relatively small changes in both consumption and mood.
4a) Create a research hypothesis unrelated to the Food Consumption data that could use a paired samples t-test for analysis (one group measured twice). Describe and identify your variables (IV and DV). Testing Blood Sugar levels s before and after a medication was give to help it. Independent variable . blood sugar before medication Dependent Variable , blood sugar after medication 4b) Create data for your variables from at least 10 participants and develop a data set. Run a paired samples t-test. 4c) Discuss your output. Was there statistical significance? Explain the findings. It is evident from the analysis that the p-value for consumption was found to be less than .001, while the p-value for mood was also less than .001. This observation indicates that both tests exhibit statistical significance, as any value below .05 is significant.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help