Choose two of the research study examples below: Studying the effect of antidepr

Question

Choose two of the research study examples below:

Studying the effect of antidepressant medication on OCD symptoms. The researcher has 50 people with OCD, randomly assigns them into 2 groups. One group get the anti-depressant medication and the other receives a placebo. After, they measures OCD symptoms on a numeric (continuous) scale.

Looking at the relationship between self-esteem and body image. The researcher gives a survey to 300 people. The survey includes the Rosenberg Self-Esteem Scale, which measures self-esteem on a numerical continuous scale, and a body image questionnaire that measures body image on a numerical continuous scale.

Studying the relationship between gender and political affiliation. The researcher collects data from a sample of 1,000 individuals and categorizes them based on their gender (male, female, transgender, other) and political affiliation (Democrat, Republican, Other).

Investigating the relationship between parenting style and extraversion in children. The researchers obtain data from 50 parents about their parenting style (authoritarian, authoritative, permissive, neglectful) and their child’s extraversion (measured on a numeric, continuous scale).

Identifying predictors of success in college. Researchers gather data from 400 college students to see whether motivation to succeed, SAT scores, and quality of life predict GPA.

For the 2 examples you chose, identify which inferential statistic you should use to analyze the data from the study.

Explain why you chose that statistic.

Explanation / Answer

Since, inferential statistics makes inferences about populations using data drawn from the population. Instead of using the entire population to gather the data, the statistician will collect a sample or samples from the millions of residents and make inferences about the entire population using the sample. We should use: Correlation to study the relationship between the two variable in these case and regression analysis; how change in one variable will be related to change in other variable (Udacity). Hence a Regression and correlation analysis: involving identifying the relationship between a dependent variable and one or more independent variables is applicable in this situation. A model of the relationship should be hypothesized, and estimates of the parameter values used to develop an estimated regression equation, in these two situations. As in both these cases we are going to interpret the data to study the relationship between the variables

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