Activity 2. Abstract Analysis Bullying is a form of peer violence needing extensive research to help understand the differences in gender for the prevention of such behavio, Most research has been performed in school settings and in a guarte manner. This study was conducted by six researchers in an after-school acty with a qualitative approach. A minimum of 15 hours per researcher was spent observing behaviors and 20 interviews were performed. A grounded theory approach was used for the analysis of data which tend to show mor similarities than differences in the way children bully as well as the perceptions of bullying. Questions: 1. What is the main topic of the research? 2. What data collection methods were employed? Discuss each method 3. Is the research qualitative or quantitative? Why?

What's the difference between naturalistic observation and systematic observation?

You will conduct a study of 100 people with cancer to better understand people's view the role of nutrition in their cancer diagnosis and treatment. This mixed methods study will include quantitative data collection from all 100 persons and qualitative data collection from about 20 persons. Your aims to to describe: o Describe sources of information about cancer-related nutrition (who did they learn cancer- related information from?) o Assess knowledge about cancer-related nutrition o Understand nutrition-related behaviors people changed due to their cancer diagnosis or treatment State which aims would best be measured with quantitative data and which aims would best be measured with qualitative data. Explain why you would use quantitative or qualitative data collection for each.

Explain in simple words the difference between the Causal and Correlated metric types.

Do you think the results of the study might be applicable to the whole population? Why or why not?

Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?

The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low Moderate High Moderate Moderately Severe Severe 1.6 2.9 3.8 3.4 0.9 1.3 3 2.8 1.8 3.1 3.3 3.2 2.7 3.7 2.4 4.9 3.8 2.9 3.7 3.2 4.9 1.7 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.01. O There is sufficient evidence that there exists a significant difference between treatments. O…

Help please. I am extremely confused and do not understand this! Can I get help with all parts please