Objective:

In this activity, you will apply the knowledge and skills acquired in Module 1. This involves explaining the purpose of SPSS, efficiently navigating its interface, and initiating and terminating an SPSS session.

Instructions:

• Launch the SPSS software on your computer.
• Describe what each of the six windows in the SPSS interface is used for. Use screenshots to illustrate your points.
• Import a simple dataset (you may create a small one if needed). Explain how each window of the SPSS interface contributes to the process of data importation, analysis, and output generation.
• Data Editor Window.
• Output Viewer.
• Pivot Table Editor.
• Chart Editor.
• Text Output Editor.
• Syntax Editor.
• Conduct a simple descriptive analysis (like mean or frequency) on one of your variables and generate an output.
• Modify the output using the Pivot Table Editor and Chart Editor. Explain the changes you made and why.
• Save your work in SPSS by creating a new dataset.
• Close the dataset, and then exit SPSS. Explain the steps you took to accomplish this.
• Finally, explore the Help Topics in SPSS. Find information on how to calculate the median in SPSS and provide a brief explanation.

Deliverable:

For this activity, submit a document that:

• Explains what SPSS is and what it is used for.
• Provides a walkthrough of your process, with screenshots and accompanying explanations.
• Includes a brief summary of how to calculate the median in SPSS based on the Help Topics information.
• Remember, this activity is designed to demonstrate your understanding of SPSS's key features and functionality.

By completing this activity, you will meet the following learning outcomes:

• Explain what SPSS is and what it is used for.
• Navigate and explain the functions of the six interface windows of SPSS.
• Start and end an SPSS session, and know when and how to get help while using the application.

Note: Be aware of privacy and confidentiality obligations when using and sharing data. Ensure the data you use for this exercise is either fabricated or anonymized to eliminate any identifying details.

Objective:

Apply your learning from Module 2 to a practical SPSS task. You will demonstrate your understanding of importing and inputting data, defining variable properties, cleaning data, and saving your work within SPSS.

Instructions:

• Launch the SPSS software on your computer.
• Import an Excel data set (you may use one of your own or create one for this task).
• Familiarize yourself with the default variable names and properties assigned by SPSS.
• Use the Variable View tab and apply the appropriate guidelines to rename your variables.
• Reflect on the properties of each variable and make adjustments where necessary. These properties include type, width, decimal places, labels, values, and measure.
• Review your data in the Data View tab. Are there any necessary adjustments that need to be made to ensure your dataset is clean and ready for analysis?
• Save your work by going to File > Save As. Make sure it is saved as a .sav file (the usual format for datasets in SPSS).
• Test your saved file by attempting to open it from the File > Open > Data pathway.

Deliverable:

For this activity, you will submit screenshots of your process, accompanied by a brief explanation of each step. This documentation can be in the form of a Word document or a PDF.

This activity will help you practically apply the following learning outcomes:

• Inputting data into SPSS by importing from outside sources or using an existing data file.
• Saving new or pre-existing data files in SPSS.
• Cleaning and preparing a dataset for analysis

To share your work, click on the “Add a new discussion topic” button at the bottom of this post, then click on the “Advanced” button as shown in the picture below. 

Drag and drop your completed template inside the “Attachment” as shown in the picture below and click on “Post” after you have uploaded your completed template.

To complete this activity, you will need to reply to at least one post made by your peers  respectfully and professionally. Be sure that your post engages your peers' ideas by providing feedback on their comments, sharing ideas of other potential problems/solutions, or asking thought-provoking questions. If a peer comments on your posting, please reply. To post a reply, click “Reply” on a particular discussion list below, write your feedback and then click on “Post to forum.”

Objective:

The objective of this activity is to apply the skills and knowledge you have obtained in Module 3. You will be working with SPSS to find summary numbers, create graphs for univariate and bivariate data, and produce frequency tables and histograms.

Instructions:

• Launch SPSS and import a dataset or create a new one.
• Identify a variable in your dataset that you will use to find summary numbers.
• Using the “Analyze > Descriptive Statistics” menu, find the summary numbers for your identified variable.
• Identify a nominal variable in your dataset and create a pie chart to visualize the distribution. Similarly, create a box plot for this variable.
• For a continuous variable in your dataset, create a frequency table, histogram, and an ogive to visualize the distribution.
• Identify two variables for bivariate analysis in your dataset. Create a scatterplot to visualize the relationship between these two variables.
• Analyze and interpret the graphs you have created.

Deliverable:

For this activity, submit a document that:

• Provides screenshots of the process and final output of each step and explains your actions.
• Includes an interpretation of the data visualizations and summary numbers you have obtained. 

This comprehensive activity will help you achieve the following learning outcomes:

• Find the summary numbers of a dataset using SPSS.
• Create and interpret graphs for univariate data (dot plots, stem-and-leaf plots, pie charts, and box plots) using SPSS.
• Create a frequency table, a frequency histogram, and an ogive from a univariate dataset using SPSS.
• Create and interpret graphs for bivariate data using SPSS.

Note: Be mindful of privacy and confidentiality obligations when using and sharing data. Ensure the data you use for this exercise is either made up or anonymized to prevent any violations of these obligations.

To share your work, click on the “Add a new discussion topic” button at the bottom of this post, then click on the “Advanced” button as shown in the picture below. 

Drag and drop your completed template inside the “Attachment” as shown in the picture below and click on “Post” after you have uploaded your completed template.

To complete this activity, you will need to reply to at least one post made by your peers  respectfully and professionally. Be sure that your post engages your peers' ideas by providing feedback on their comments, sharing ideas of other potential problems/solutions, or asking thought-provoking questions. If a peer comments on your posting, please reply. To post a reply, click “Reply” on a particular discussion list below, write your feedback and then click on “Post to forum.”