Data Analysis and Application (DAA) Template
Data Analysis and Application (DAA) Template
Data Analysis and Application (DAA) Template
Nayeka Drake
Capella University
Part 1: Interpreting Correlations
A meta-analysis (Anderson & Bushman, 2001) reported that the average correlation between time spent playing video games (X) and engaging in aggressive behavior (Y) in a set of 21 well-controlled experimental studies was r+ = .19. This correlation was judged to be statistically significant. In your own words, what can you say about the nature of the relationship? Write a one-page response to this question.
Reference
Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12(5), 353–359.
Part 2: Correlations
You will use the following resources for this assessment. They are linked in the Resources, under the Required Resources heading.
- Complete this part of the assessment using the DAA Template.
- Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.
- Refer to IBM SPSS Step-By-Step Instructions: Correlations for additional information on using SPSS for this assessment.
- If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous two assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at th Read Moree end of the document).
You will analyze the following variables in the grades.savdata set:
- gender.
- gpa.
- total.
- final.
Step 1: Write Section 1 of the DAA.
Provide a context of the grades.sav data set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each X, Y pair (for example, Pearson’s r, Spearman’s r, point-biserial r, et cetera). Specify the sample size of the data set.
Step 2: Write Section 2 of the DAA.
Test the assumptions of correlation for gpa and final. Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.
Step 3: Write Section 3 of the DAA .
Specify a research question related to gpa and final. Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.
Step 4: Write Section 4 of the DAA.
Paste the SPSS output of the intercorrelation matrix for all specified variables.
- First, report the lowest magnitudecorrelation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
- Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
- Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis
Data Analysis and Application (DAA) Template
Use this file for all assignments that require the DAA Template. Although the statistical tests will change from week to week, the basic organization and structure of the DAA remains the same. Update the title of the DAA. Remove this text and provide a brief introduction.
Data File Description
1. Describe the context of the data set. You may cite your previous description if the same data set is used from a previous assignment.
2. Specify the variables used in this DAA and the scale of measurement of each variable.
3. Specify sample size (N
Testing Assumptions
1. Articulate the assumptions of the statistical test.
2. Paste SPSS output that tests those assumptions and interpret them. Properly embed SPSS output where appropriate. Do not string all output together at the beginning of the section.
3. Summarize whether or not the assumptions are met. If assumptions are not met, discuss how to ameliorate violations of the assumptions.
Research Question, Hypotheses, and Alpha Level
1. Articulate a research question relevant to the statistical test.
2. Articulate the null hypothesis and alternative hypothesis.
3. Specify the alpha level.
Interpretation
Descriptive Statistics | |||||||
N | Mean | Std. Deviation | Skewness | Kurtosis | |||
Statistic | Statistic | Statistic | Statistic | Std. Error | Statistic | Std. Error | |
gpa | 105 | 2.7789 | .76380 | -.052 | .236 | -.811 | .467 |
final | 105 | 61.48 | 7.943 | -.335 | .236 | -.332 | .467 |
Valid N (listwise) | 105 |
1. Paste SPSS output for an inferential statistic and report it. Properly embed SPSS output where appropriate. Do not string all output together at the beginning of the section.
2. Interpret statistical results against the null hypothesis.
Conclusion
1. State your conclusions.
2. Analyze strengths and limitations of the statistical test.
References
Provide references if necessary. Data Analysis and Application (DAA) Template
MORE INFO
Data Analysis and Application (DAA)
Introduction
Are you interested in working on a data analysis project? If so, this survey is for you! We’re looking for someone who has a strong background in data science and computer science. The responsibilities of this role will include analyzing data sets and writing programs that help us understand those data sets. You’ll also need to be comfortable working with both Python and Java programming languages.
Major activities completed on time and with high effectiveness/efficiency.
The project was completed on time. The team members were able to take care of their tasks independently and achieve high-quality results. They were also able to collaborate with other team members, supervisors and colleagues from other departments in order to make the project run smoothly.
How did you collaborate with other team members in your team?
Did you collaborate with other team members in your team?
What was your experience working as a member of this project? (Did you enjoy it, what was good, bad, etc.)
Your contributions to the team and the amount of work completed by you.
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How much you contributed to the project.
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The amount of time spent on the project.
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The number of hours worked compared to other team members, if applicable: * For example, if one person is working for a company that has only three employees and another person works for a company with 100 employees, then there might be a difference in how much work each individual does compared to others due to their job title or position within the organization (such as salesperson vs accountant).
How was your experience working as a member of this project? (Did you enjoy it, what was good, bad, etc.)
As a data analyst in this project, I was able to learn a lot of things. The best thing about working on this project is that it’s very enjoyable and there are many opportunities to learn new things. My team members were also good at helping me with my projects and they gave me technical knowledge which was needed by my team members.
I think the best thing about this project is that there are many different types of people working together on one project so it helps you get to know each other better which makes it easier for collaboration between teams as well as personal relationships outside work hours too!
Your overall team grade is D+. The detailed breakdown of scores for various sections is given below.
The overall team grade is D+. The detailed breakdown of scores for various sections is given below.
Section 1: Teamwork and Communication (45%) – This section gauges how well your team works together, including communication among members and with leadership.
Section 2: Planning and Organization (20%) – This section measures how well you plan ahead for tasks or projects, including identifying resources needed to complete them effectively.
Section 3: Confidentiality/Security Tenet (5%) – This section assesses whether or not confidentiality was maintained during the course of data collection or analysis activities by keeping information confidential at all times from third parties during their stay onsite at our facility
Takeaway:
Takeaway:
The takeaway is the most important part of the article. It should be directly related to the article, and it should summarize what was learned from reading it. The takeaway should be clear, concise, and memorable. It shouldn’t be a question; instead try to find an answer that can easily be remembered and applied later on!
Conclusion
We hope this survey has been useful in helping you understand what it takes to be a successful data analyst. If there’s anything we can do to make your job easier or more enjoyable, please don’t hesitate to reach out! We’re always here for our fellow data analysts, and we wish them all the best in their careers.
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