Your initial post should respond to both questions below and should be around 300 words. In your response, be sure to include reference to specific moments, language, and details from the essay. In other words, be sure to include specific textual evidence from the student essay.1. What do you notice about the student's selection, incorporation, and/or explanation of textual evidence that relates to her key words and thesis?2. What writing moves that the student writer makes do you admire? In other words, what do you notice about how she writes that you would like to try out in your own essay?In addition, you will need to respond meaningfully to TWO of your classmates' posts, and those responses should be at least 190 words. I will post two classmate posts after the discussion questions are done.

Prior to beginning work on this discussion, review the Cover Letters PDF (Links to an external site.)Links to an external site. provided by the Ashford University Office of Career Services and the What Is a Cover Letter? (Links to an external site.)Links to an external site. and Writing the Dreaded Cover Letter (Links to an external site.)Links to an external site. online resources. It is recommended that you also review the e-book by Noble (2004) and the How to write cover letters (examples) (Links to an external site.)Links to an external site. video which include more information and a number of sample cover letters to assist you.For this discussion post, you will use the knowledge you have gained about personality, the career specific reports you have created in the previous weeks’ discussions, and assessments associated with various fields of psychology you have studied to help you to choose and develop a cover letter for a job in the human services sector. To begin, determine what type of job within the human services sector related to personality psychology is of interest to you. Using career websites, including those listed on the Ashford Career Services Job Search (Links to an external site.)Links to an external site. website, and/or other third-party search engines such as the American Psychological Association’s PsycCareers (Links to an external site.)Links to an external site. website, Monster.com (Links to an external site.)Links to an external site., Indeed.com (Links to an external site.)Links to an external site., and SimplyHired.com (Links to an external site.)Links to an external site.. Once you have found a suitable job posting, carefully review the requirements and note these for inclusion in your cover letter. Before you begin designing your cover letter, review the required readings, videos, and websites to help you determine how best to formulate it. Within the letter, you will address the person or title of the person that is listed as the contact for the job in the job posting. As you draft your cover letter, consider the elements within the job post and use your knowledge of personality theory to make yourself appear to be the best candidate for the job. Assess the various types of personality measurements that might be most effective in the position listed and mention how you might use these on the job. Once you have developed your letter, save it as a document and attach it to your discussion post. In the discussion post itself, copy and paste the link to the job posting for which you wrote your cover letter. Describe your experience(s) writing the cover letter including the ways in which you may have attempted to manipulate the reader to get the best response. Analyze and describe any ethical issues that could be associated with this process.

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