For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test Description Instructions For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test Description Instructions For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test 

I need to write about (Is Aquinas’s argument for the existence of God sound? Why or why not?) For more information in the attached file.The instructionsBegin by rehearsing Aquinas’s argument from causality in your own words.Then state whether you believe the argument is sound or unsound, and offer an argument in support of your stance.

Write a paper that compares mediation and arbitration by explaining the function, role, and effectiveness of each in resolving conflicts. Further compare the two conflict resolution methods by discussing the types of disputes that can be utilized by mediation and arbitration, and include examples. Finally, explain the drawbacks to using each conflict resolution method. As part of this assignment, you must also visit the American Arbitration Association (Links to an external site.) website and explain what this organization does. Examine how the AAA could be used either in your current career, or in a career that you seek to pursue.The paper must be three to five pages in length (excluding the title and reference pages) and formatted according to APA style. You must use at least two scholarly resources (at least one of which can be found in the Ashford University Library) other than the textbook to support your claims and sub claims. Cite your resources in text and on the reference page. For information regarding APA samples and tutorials, visit the Ashford Writing Center (Links to an external site.).Carefully review the Grading Rubric (Links to an external site.) for the criteria that will be used to evaluate your assignment.