Posted: July 30th, 2024
Correlation and Regression, Statistics Assignment Homework Help
Assessment Brief
Briefly restate your research
area of interest ( China )
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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 and interpret the statistic in terms of
effect size and R2 while also taking into account the third variable
problem as well as direction of causality.
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 and interpret
the statistic in terms of effect size and R2 while also taking into
account the third variable problem as well as direction of causality.
Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be
interested in 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
variable 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
variable 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?
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