Book used  Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. L., Fry, M. J., & Ohlmann, J. W. (2016). Quantitative methods for business with CengageNOW (13th ed.). Boston, MA: Cengage Learning. ISBN-13: 9781305799257

Open your unique data set in StatCrunch.If you do not already have your unique data set open in StatCrunch, follow the steps in the video or the written directions below to retrieve your unique data set from StatCrunch.Video DirectionsWritten DirectionsLast Step - Submit Your Personal Data Set!You must share your sample data with your teacher so that they can verify and recreate your calculations. This is a required part of your final project and you will not receive a final grade without including your data. To share your data, please follow the steps below.From the spreadsheet view of your data, click on “Data” then select “Export”. A new window will open and then click on “Export”. A .csv file will download to your computer. It will most likely automatically save to your computer’s download folder. Upload the .csv file of your data below.How & What to Turn InSubmit your .csv file. When you are ready to submit your work, click on "Submit Assignment".Discussion BoardUse the Final Project discussion board (opens in a new tab) to ask questions or provide feedback about the information provided above.

InstructionsLoad the data file unit 14_SPSSHW11_data.sav. A psychologist was interested in whether a mindfulness questionnaire measures a single underlying construct, or whether there is more than one underlying construct. The questionnaire contained 15 items each requiring a response in the range 1 to 6. The responses of 95 participants to the 15 items are coded in the variables s1q1 to s1q15. In order to answer the question above, carry out a principal component analysis with direct oblimin rotation and do the following:1. Describe the factor structure of the questionnaire.a. How many components have eigenvalue greater than one? (2 points)b. How much variance is accounted for? (2 points)c. Consider the scree plot: how many components does that suggest? (2 points)d. Write a brief results section, including a suitable table, to report which items load on each component. (2 points)e. Label the resulting factors based on the items you identified as loading onto them. (2 points)2. Alter the analysis to force a single-factor solution and report the results. Which questions should you throw out? Which questions is loaded the strongest? (5 points)3. Save and submit the SPSS syntax and output files used to complete items 1-2. The file names should begin with your first and last name followed by the homework number (e.g., John Doe HW11.sps; John Doe HW11.spv). (5 points [you read that correctly]