Mini-Report / Infographic General Guidance

https://venngage.com

Welcome to our fifth mini-report. To keep things interesting, we will use an infographic format to simplify the writing and give you practice "telling stories with data" and catching people's eye with visuals

• Note that in this week the correlation coefficient IS a measure of effect size, so your main work is to create and report the correlation coefficient and its significance value (p-values) correctly as the main results.

As a reminder, these write ups or visualizations of your results are designed to help you gain experience in data analysis and the interpretation and presentation of results. These are three different skill sets, and all need practice if you want to build competence and confidence - and we want you to do this!

The basic method here is the same as in the previous weeks where you begin by coming up with a possible scenario which would fit correlation analysis, creating the mock data for your analysis, generating the results and charts in SPSS, and then writing up the results. By needing to come up with a question about relationships and enter data, you gain more of an understanding than if we just gave you a data set to analyze. However, if you want the challenge of analyzing new data sets, our text has many and the internet has a great number of real or fictitious data sets for you to practice on.

The main difference in assignment format this week is that you will learn to use an infographic (pick the free versions) fromwww.venngage.com or an infographic creator of your choice.

• We present these mini-reports as a discussion so everybody will be able to see multiple examples and therefore have a better idea of how to run statistical tests and write up the results. If you are stumped on how to write your post, look at what others have written but change the example hypothesis and data to a scenario which interests you.
• This will help accomplish our course themes/goals of 1) asking and answering questions with statistics, 2) telling stories with data, and 3) becoming ambassadors for statistics by learning how to explain concepts to other people and show them useful visualizations.

Mini-Report Instructions

To complete this assignment, please:

1. Create a scenario that would require the use of the Pearson correlation coefficient. This means both variables must be interval or ratio scale data. Examples include looking at:

• the relationship between the number of calories burned in a workout and the amount of water weight lost during the workout
• the relationship between a person's annual income and their happiness score on your choice of a validated happiness metric
• The relationship between the number of hours of sleep people get per night and your choice of one test of cognitive function or ratings of general physical wellness (use validated measures for examples like these). Google for "validated test of..." to find examples or real scales or measurement tools.

1. write your research question and matching hypothesis
2. generate fake/mock data, enter that correctly into SPSS,
3. calculate the useful descriptive statistics, histograms for each variable if you like,a scatterplot of your data, and the Pearson correlation coefficient. Verify that your data meet the assumptions of using the Pearson correlation coefficient (normally distributed, no outliers) by looking at your descriptive statistics.
4. and present your results in an infographic of your choice

Your infographic should include

1. Title or Heading
2. A very brief listing of the question and naming of the variables (needs to fit on the infographic)
3. Method: A very brief explanation of the methods including:
   1. sample size, sampling method, and measurement methods you might use to have collected the mock data for your study. Use about 20-30 data points per variable.
4. Results
   1. list the mean, standard deviation, and skewness for each variable
   2. Create a scatterplot
   3. List the correlation coefficient and significance value
   4. Make the infographic splashy / attention getting / easy to view
5. Interpretation
   1. Provide a brief description of your results and what it means about your research question. Interpret the statistical significance, strength and direction of the correlation. End with a powerful statement in a prominent place in the infographic.

After creating and posting your infographic as an embedded image in your discussion reply, please also add:

1. Your comments about the creation of or use of infographics
2. What was most valuable and what you have questions about based on calculating the Pearson correlation and presenting it as an infographic.
3. References (if any)
4. Please also attach your SPSS Viewer file and SPSS Data file with your postusing the attachment button (the paperclip)