Regression. Calculate a regression  that examines whether or not you can predict if a student wants a  lecturer to be extroverted using the student’s extroversion score.

1. Ensure you handle missing data as you decided above.
   *Missing data is to be changed to 999*
2. State if you are using one or two-tailed test and why.
3. Include diagnostics.
4. Discuss assumptions; are they met?
5. Write the results in APA style and interpret them.
6. Do these results differ from the correlation results above?
   *Correlation findings will be attached to post*
7. Multiple Regression. Calculate a multiple  regression that examines whether age, gender, and student’s extroversion  predict if a student wants the lecturer to be extroverted.

    

   1. Ensure you handle missing data as you decided above.
      *Missing data is to be changed to 999*
   2. State if you are using one or two-tailed test and why.
   3. Include diagnostics,
   4. Discuss assumptions; are they met?
   5. Write the results in APA style and interpret it.
   6. Do these results differ from the correlation results above?

*Correlation will be attached to post*

Part B. Applying Analytical Strategies to an Area of Research Interest. 

1. Briefly restate your research area of interest.
   *attached to post*
   1. Pearson Correlation. Identify two variables for which you could  calculate a Pearson correlation coefficient. Describe the variables and  their scale of measurement. Now, assume you conducted a Pearson  correlation and came up with a significant positive or negative value.  Create a mock r value (for example, .3 or -.2). Report your mock finding  in APA style (note the text does not use APA style) and interpret the  statistic in terms of effect size and R2 while also taking into account  the third variable problem and well as direction of causality.
   2. Spearman’s Correlation. Identify two variables for which you could  calculate a Spearman’s correlation coefficient. Describe the variables  and their scale of measurement. Now, assume you conducted a correlation  and came up with a significant positive or negative value. Create a mock  r value (for example, .3 or -.2). Report your mock finding in APA style  (note the text does not use APA style) and interpret the statistic in  terms of effect size and R2 while also taking into account the third  variable problem and well as direction of causality.
   3. Partial Correlation vs. Semi-Partial Correlation. Identify three  variables for which you may be interested calculating either a partial  or semi-partial correlation coefficient. Compare/contrast these two  types of analyses using your variables and research example. Which would  you use and why?
   4. Simple Regression. Identify two variables for which you could  calculate a simple regression. Describe the variables and their scale of  measurement. Which variable would you include as the predictor variable  and which as the outcome variable? Why? What would R2 tell you about  the relationship between the two variables?
   5. Multiple Regression. Identify at least 3 variables for which you  could calculate a multiple regression. Describe the variables and their  scale of measurement. Which variables would you include as the predictor  variables and which as the outcome variable? Why? Which regression  method would you use and why? What would R2 and adjusted R2 tell you  about the relationship between the variables?
   6. Logistic Regression. Identify at least 3 variables for which you  could calculate a logistic regression. Describe the variables and their  scale of measurement. Which variables would you include as the predictor  variables and which as the outcome variable? Why? Which regression  method would you use and why? What would the output tell you about the  relationship between the variables?

In order to complete this assignment you MUST have SPSS. All needed files are attached to this posting.

Due:May 22, 2019 by 12pm EST

https://rpadgett.butler.edu/ps310/classdata.php 

This is the link where the data set that is needed can be found and downloaded. The data set is named Chamorro-Premuzic.sav