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{"id":5026,"date":"2020-08-10T21:10:16","date_gmt":"2020-08-10T21:10:16","guid":{"rendered":"https:\/\/nursingwritersbureau.com\/?p=5026"},"modified":"2020-08-10T21:10:16","modified_gmt":"2020-08-10T21:10:16","slug":"psy-520-spss-assignment-1","status":"publish","type":"post","link":"https:\/\/nursingwritersbureau.com\/psy-520-spss-assignment-1\/","title":{"rendered":"PSY 520 SPSS Assignment 1"},"content":{"rendered":"PSY 520 SPSS Assignment 1<\/p>\n
Before you begin the assignment:<\/p>\n
\u2022 Read Chapter 8 in your Discovering Statistics Using IBM SPSS Statistics textbook.<\/p>\n
\u2022 Review the video tutorial for an overview of conducting multiple regression in SPSS.<\/p>\n
\u2022 Download and open the Popularity SPSS data set.<\/p>\n
An overview of the data set:<\/p>\n
This data set represents hypothetical data from a study that examined how well some core personality traits predict a person\u2019s level of popularity. Personality was measured using the \u201cBig 5,\u201d which is a very commonly used measure of personality. In fact, a Big 5 personality scale was included in the Module Two discussion.<\/p>\n
Here is some more information about the variables in this hypothetical data set:<\/p>\n
\u2022 Number: This is the ID number of the participant<\/p>\n
\u2022 Sex: Participants\u2019 sex, with \u201c1\u201d standing for male and \u201c2\u201d standing for female<\/p>\n
\u2022 Age: College year of the participant, with \u201c1\u201d standing for freshman, \u201c2\u201d standing for sophomore, etc.<\/p>\n
\u2022 Popularity: Popularity measured with a questionnaire that could range from 0 to 100, with higher numbers indicating more popularity<\/p>\n
\u2022 Extroversion: A Big 5 trait indicating level of sociability. Scores range from 1 to 5, with high numbers indicating extroverted and low numbers indicating introverted<\/p>\n
\u2022 Agreeableness: A Big 5 trait indicating level of interpersonal warmth and friendliness. Scores range from 1 to 5, with high numbers indicating warmth and low numbers indicating coldness towards others<\/p>\n
\u2022 Conscientiousness: A Big 5 trait indicating level of self-control and responsibility. Scores range from 1 to 5, with high numbers indicating high conscientiousness and low numbers indicating low conscientiousness<\/p>\n
\u2022 Neuroticism: A Big 5 trait indicating level of anxiety and emotional stability. Scores range from 1 to 5, with high numbers indicating high neuroticism and low numbers indicating low neuroticism<\/p>\n
\u2022 Openness: A Big 5 trait indicating level of willingness to try new things and creativity. Scores range from 1 to 5, with high numbers indicating high open-mindedness and low numbers indicating closed-mindedness<\/p>\n
Questions:<\/p>\n
1) Describe in your own words what type of research situations call for a researcher to use a multiple regression analysis.<\/p>\n
Type answer below:<\/p>\n
2a) Run a basic correlation of matrix for the Popularity, Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness variables.<\/p>\n
Paste output below (Read carefully: The best way to do this is to select \u201cCopy Special\u201d when copying from the SPSS output. Then select image as a format to copy. When pasting in Word, select Paste Special, choose a picture format, and then resize the image so it fits the screen):<\/p>\n
2b) Based on these results, which personality variables are significantly correlated with Popularity?<\/p>\n
Type answer below:<\/p>\n
3a) Conduct a multiple regression analysis using Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness as predictors of Popularity.<\/p>\n
Paste the output below:<\/p>\n
3b) Which variables are significant predictors of Popularity? Compare and contrast the results from the multiple regression analysis to the basic correlation results from question 2b.<\/p>\n
Type your answer below:<\/p>\n
3c) What is the R-squared of this model, and what does it tell us about how well this model predicts Popularity?<\/p>\n
Type your answer below:<\/p>\n
3d) Write the results of the multiple regression in APA style. For help, refer to the Regression section in this document.<\/p>\n \n
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