Access over 20 million homework documents through the notebank

Get on-demand Q&A homework help from verified tutors

Read 1000s of rich book guides covering popular titles

Anonymous

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

- 1. Briefly restate your research area of interest. (my area of interest is comparing 2 different types of couple therapy with each other as well as a control group that does not receive treatment)
- 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.
- 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. - 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 R2and 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?

All done! Lemme know if I can help you with anything else.

Running head: ANALYTICAL STRATEGIES APPLICATION

Applying Analytical Strategies to a Research Area of Interest

Name

Institution

Date

1

ANALYTICAL STRATEGIES APPLICATION

2

Statement of research area of interest

The study consists of a sample of selected couples who are randomly assigned into two

experimental therapy groups and one control group. The research area of interest entails

comparing the two different types of couple therapy with each other as well as a control group

that does not receive treatment. The results are analyzed to assess the effectiveness of the therapy

treatment on the couples. The analytical strategies used are correlation and regression.

Pearson Correlation

Pearson correlation attempts to measure the strength of a linear relationship between two

variables by drawing a line of best fit through the values of two chosen variables (Bolboacaet al.,

2006). The two variables suitable for the computation of the Pearson correlation coefficient, r,

are treatment results values and couple therapy “1” experiment values. The scale of measurement

for the two variables is Ratio since they are of equal intervals and satisfy the absolute zero

property, are normally distributed and linearly related.

Assuming a Pearson correlation coefficient of (r = 0.79) and the observed sample size is 30

we can deduce that “A Pearson product-moment correlation was run to investigate the

association between treatment results and couple therapy “1”. There was a strong, positive

correlation between the two variables, which was statistically significant (r = .79, n = 30, p =

.005). From the Pearson c...

Review

Anonymous

Top quality work from this tutor! I’ll be back!

Anonymous

Heard about Studypool for a while and finally tried it. Glad I did caus this was really helpful.

Anonymous

Thank you! Reasonably priced given the quality

Brown University

1271 Tutors

California Institute of Technology

2131 Tutors

Carnegie Mellon University

982 Tutors

Columbia University

1256 Tutors

Dartmouth University

2113 Tutors

Emory University

2279 Tutors

Harvard University

599 Tutors

Massachusetts Institute of Technology

2319 Tutors

New York University

1645 Tutors

Notre Dam University

1911 Tutors

Oklahoma University

2122 Tutors

Pennsylvania State University

932 Tutors

Princeton University

1211 Tutors

Stanford University

983 Tutors

University of California

1282 Tutors

Oxford University

123 Tutors

Yale University

2325 Tutors