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Create an MS Word document by cutting and pasting SPSS output into your document.

Create an MS Word document by cutting and pasting SPSS output into your document.

“Create an MS Word document by cutting and pasting SPSS output into
your document. Please answer the questions first and include all output
at the end of the assignment in an Appendix. Name the file in the
following format: lastnamefirstinitialEDU8006-3.doc (example:
smithbEDU8006-3.doc).Complete the following:Part AIn
Part A, you really getting to know a set of data and allows you the
opportunity to perform statistical tests and then interpret the output.
You will rely on all you have learned to this point and add correlation
and regression strategies to your tool kit. Using the data set:
Chamorro-Premuzic.sav; you will focus on the variables related to
Extroversion and Agreeableness (student and lecturer).Exploratory Data Analysis.Perform

Exploratory Data Analysis on all variables in the data set. Because you
are going to focus on Extroversion and Agreeableness, be sure to
include scatterplots for these combinations of variables (Student
Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture
Extroversion; Student Agreeableness/Lecture Extroversion; Student
Extroversion/Lecture Agreeableness) and include the regression line on
the chart.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Make a decision about the missing data. How are you going to handle it and why?Correlation.
Perform a correlational analysis on the following variables: Student
Extroversion, Lecture Extroversion, Student Agreeableness, Lecture
Agreeableness.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Write up the results in APA style and interpret them.Regression.
Calculate a regression that examines whether or not you can predict if a
student wants a lecturer to be extroverted using the students
extroversion score.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnosticsDiscuss assumptions; are they met?Write the results in APA style and interpret them.Do these results differ from the correlation results above?Multiple
Regression. Calculate a multiple regression that examines whether age,
gender, and students extroversion predict if a student wants the
lecturer to be extroverted.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnosticsDiscuss assumptions; are they met?Write the results in APA style and interpret it.Do these results differ from the correlation results above?Part BBriefly restate your research area of interest.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.Spearmans
Correlation: Identify two variables for which you could calculate a
Spearmans 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.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?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?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?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?You should now have the following file: lastnamefirstinitialEDU8006-3.doc (example: smithbEDU8006-3.docCreate an MS Word document by cutting and pasting SPSS output into
your document. Please answer the questions first and include all output
at the end of the assignment in an Appendix. Name the file in the
following format: lastnamefirstinitialEDU8006-3.doc (example:
smithbEDU8006-3.doc).Complete the following:Part AIn
Part A, you really getting to know a set of data and allows you the
opportunity to perform statistical tests and then interpret the output.
You will rely on all you have learned to this point and add correlation
and regression strategies to your tool kit. Using the data set:
Chamorro-Premuzic.sav; you will focus on the variables related to
Extroversion and Agreeableness (student and lecturer).Part BBriefly restate your research area of interest.”

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