For this assignment, you will submit a total of three files: two SPSS data files and one MS Word document.
Complete the following:
1. Create a data file in SPSS and enter the data presented in the table located in section 3.5 of chapter 3 in your textbook. Save this SPSS data file.
2. Create a mock research project. Respond to the following three questions.
a. Considering your area of research interest, briefly state your area and a possible research project related to the area (150-500 words)
b. Pose one or more null and alternative hypotheses that follow from the possible research project.
c. List at least 10 variables that would be collected in your mock research project that would be used to answer the hypotheses. After each variable list the variable name you will use in SPSS (Section C), the level of measurement (binary, nominal, ordinal, interval, or ratio), and the possible range of scores. Feel free to be creative.
3. Create a mock SPSS data set.
a. Open a data file in SPSS and enter in a set of mock data for the research project you describe in Part B. (Note: It is important that you do not collect real data for this activity; you cannot collect data without IRB approval).
b. You must enter 10 rows of data for each of the 10 variables (that is, create data for 10 mock participants). Each row represents the scores of each mock participant on the ten variables.
c. Participant #1 must have missing data for Variable #3. Ensure this is coded correctly
Complete the following:
Part A
In Part A, you will be creating visual displays of data. You will copy and paste output you created while working in Chapter 4 into an MS Word document. Please read the instructions below to ensure you are pasting the correct material into your document (In this chapter, you create many charts but not all are required for this assignment).
1. Using the data set: DownloadFestival.sav, create a boxplot for males and females for the variable Day1. It is important that you change the outlier identified to 2.02 prior to creating the boxplot. Be sure to save the data set with a new name, indicating it is the corrected data set (outlier identified and corrected). Save this boxplot, with an appropriate title in your document.
2. Using the data set: ChickFlick.sav, create a simple bar chart for independent means. The variables you will use are: Arousal, Film, and Gender (grouping variable). Be sure to display error bars and save your chart with an appropriate title in your document.
3. Using the data set: Hiccups.sav, create a clustered bar chart for related means. The variables you will use are: Baseline, Tongue Pulling, Carotid Artery Massage, Digital Rectal Massage. Be sure to display error bars, include labels for the X- and Y-axis, and save your chart with an appropriate title in your document.
4. Using the data set: Text Messages.sav (note: you may see an additional data set with the same name: TextMessages.sav - either will create the correct output), create a clustered bar chart for mixed designs. The variables you will use are: Time1, Time2, and Group. Be sure to display error bars, include labels for the X- and Y-axis, and save your chart with an appropriate title in your document.
5. Using the data set: Exam Anxiety.sav, create a scatterplot that includes a regression line. The variables you will use are: Exam Performance and Exam Anxiety. Be sure to include the regression line and save your chart with an appropriate title in your document.
Part B
Why Exploratory Data Analysis? Write a short paragraph that highlights your understanding of why exploratory data analysis is a critical part of any analytical strategy (500 Word limit). To receive full credit for this assignment, you must show a high level of understanding the importance of exploring data visually.