PSY 510 SPSS Assignment 3 - Kacey Boston

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PSY 510 SPSS Assignment 3 Before you begin the assignment:  Review the video tutorial in the Module Seven resources for an overview of conducting correlational analyses in SPSS.  Refer to the How to Access and Save SPSS Data Sets Within the VDI document in the Required Resources for Module Six, if needed.  Access and open the Album Sales SPSS data set (the same data set used in SPSS Assignment 2). Data adapted from Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications, Inc. To submit your assignment:  The best way to paste your output into the Assignment document is to do the following: o Select Copy when copying from the SPSS output. o To paste in Word, your document must be open within the VDI. Use a shared drive (such as OneDrive) or access your learning environment within the virtual desktop to download this document. o Select Paste and then resize the image to fit the screen in Word. An overview of the data set: This data set contains data for 200 different rock albums. Each row in the data set represents the data for one album. Specifically, the following variables are included:  AlbumNumber: This is the ID number of the album. There are 200 albums, so this variable ranges from 1 to 200.  RecordCompany: This is the album promotions company for each album. Values of “1” represent Next Generation Records, and values of “2” represent Worldwide Entertainment.  Adverts: This is the album advertising budget in thousands of dollars.  Airplay: This is the number of times the album was played on the radio in the past year.  Attract: This is a 1-to-10 rating by independent reviewers of the physical attractiveness of the band. Questions: To complete this assignment, replace the bracketed text with the relevant information. 1a) Run a scatterplot to examine the relationship between Adverts and Airplay.

1b) What do you learn about the relationship between Adverts and Airplay from the scatterplot? Judging by the scatterplot, it doesn’t look like there is a negative or positive relationship between Adverts and Airplay. 2a) Use a matrix scatterplot to examine all of the relationships between Sales, Adverts, and Airplay.

2b) Describe the relationships between the variables. Identify strongly correlated variables. Identify the relationships as positive or negative. There doesn’t seem to be a relationship between Airplay and Adverts or Sales and Adverts. However, there does appear to be a relationship between Sales and and Airplay. Sales and Airplay appear to be strongly correlated with a positive relationship. 3a) Examine the correlation between Adverts and Airplay. Correlations Advertising Budget (Thousands of Dollars) No. of plays on Radio Advertising Budget (Thousands of Dollars) Pearson Correlation 1 .102 Sig. (2-tailed) .151 N 200 200 No. of plays on Radio Pearson Correlation .102 1 Sig. (2-tailed) .151 N 200 200 3b) Explain the correlation.  What is the r-value for each variable?  Does the r-value indicate a positive or negative correlation?  Is the correlation statistically significant? R-value: The Pearson Correlation, also known as the r-value, measures the strength and direction of linear relationships between two variables that ranges from -1 to +1. In this instance, the r-value of Adverts is 1 and the r-value of Airplay is 0.102. This demonstrates a positive correlation between Adverts and Airplay, but it is a weak positive correlation. However, there is no statistical significance where the p-value (Sig. 2-tailed) is 0.151, which is greater than 0.05. 4a) Run a correlation matrix for Sales, Adverts, and Airplay. Correlations Advertising Budget (Thousands of Dollars) No. of plays on Radio Album Sales (Thousands)

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Advertising Budget (Thousands of Dollars) Pearson Correlation 1 .102 .578 ** Sig. (2-tailed) .151 <.001 N 200 200 200 No. of plays on Radio Pearson Correlation .102 1 .599 ** Sig. (2-tailed) .151 <.001 N 200 200 200 Album Sales (Thousands) Pearson Correlation .578 ** .599 ** 1 Sig. (2-tailed) <.001 <.001 N 200 200 200 **. Correlation is significant at the 0.01 level (2-tailed). 4b) Identify any significant correlations between the variables. Describe the relationship (positive or negative). Both the Adverts & Sales correlation and the Airplay & Sales correlation are statistically signififcant. Both relationships are positive, which tells us that as Adverts or Airplay increase, Sales also tends to increase as well. 5a) Create two variables that you think would be negatively correlated. Do not use variables from the Album Sales data set. Describe the variable below. Frequent communication with candidates negatively correlates with candidate attrition . In other words, the more you keep the candidates updated throughout the recruiting process, the less you’ll see candidates withdraw themselves from the recruiting process. 5b) Create a new data set in SPSS for the variables defined in 5a.  Complete the variable view when you create the database.  Create data for at least 10 participants for your research question.  Enter the created data into your new database.  Run a scatterplot.

5c) Explain the correlation output from your created data.  What is the r-value for each variable?  Does the r-value indicate a positive or negative correlation?  Is the correlation statistically significant? Correlations Communic ation Frequency Rating Number of Candidates that Withdrew from Hiring Process by Stage Communication Frequency Rating Pearson Correlation 1 -.510 Sig. (2-tailed) .052 N 15 15 Number of Candidates that Withdrew from Hiring Process by Stage Pearson Correlation -.510 1 Sig. (2-tailed) .052 N 15 15 The r-value (pearson correlation) for each variable is 1 and the r-value between variables is - 0.510. This means there is a negative correlation between Communication Frequency and Candidate Attrition. However, the p-value (Sig. 2-tailed) is 0.052, which is very close to statistically significant, but does not reach exact significance of 0.05.

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