Discussion: Participant SelectionRecall from your previous research classes that creating a sample for a qualitative study is guided by very different principles than for those that guide quantitative study.To prepare for this Discussion:There are “rules of thumb” that guide each qualitative approach. Review Patton’s chapter on sampling types, and study sampling strategies in research articles on the approach you have chosen.Review the articles on data saturation and theoretical saturation, and consider which criteria you will follow to estimate “how many.” Remember, in qualitative research, one case can be enough. If your phenomenon is complex or you are interested in a range of experiences, then you will need more cases.Reflect on your research problem and question. What are the essential characteristics of participants that you want to recruit?By Day 3Prepare a Discussion post in which you address the following:Present the most current version of your research question and state the phenomenon of interest.Describe the criteria for inclusion and exclusion.Describe in detail the choices for sample size, data saturation, and theoretical saturation. Justify your choices with citations of research studies that use the same strategy and/or of methodological articles that describe the rationale.Put yourself in the participant’s position, and consider the assurances you would want to hear to ensure that your privacy is respected and that your identity will not be revealed when the study is published. Include those assurances in your invitation.

Visit the website pollingreport.com (Links to an external site.)Links to an external site. or any other public opinion polling site and find a poll that interests you personally or professionally. Give the topic of the poll, the sample size, and margin of error. Explain what the margin of error means for this poll, based on the formula for the margin of error. Describe at least one confidence interval of the poll by providing its endpoints and interpret what it means in this example.Be sure to support your statements with logic and argument, citing any sources referenced. Post your initial response early, and check back often to continue the discussion. Be sure to respond to your peers and instructors posts, as well.REMEMBER TO INCLUDE:Do not leave out the confidence interval, though, or they give the upper and lower bound, but fail to interpret what it means. Be sure you're answering all parts of the discussion prompt.Think about how the sample size, the confidence level, and the margin of error are related. I know that many of your polls will not include the specific confidence level, but think about how your confidence level would change if the margin of error got larger. Would a larger margin of error indicate higher confidence or lower confidence?

Assignment: AssessmentThe testing of assumptions, recognition of limitations, and proper use of diagnostics are all necessary elements in the use of multiple linear regression for public health research. All of these elements allow biostatisticians to better assess the results of multiple linear regression models.For this Assignment, you test that assumptions for multiple linear regression have been met, use SPSS to create a multiple linear regression, evaluate results to determine whether the model is appropriate, and finally interpret the relationships uncovered through this statistical test between the independent and dependent variables. Use the Week 4 Dataset (SPSS document) from the Learning Resources area to complete this assignment.The AssignmentExplain the assumptions of Linearity, Sampling independence, Normality, and Homoscedasticity (or equal variance). (30 points)How would you test whether these have been met? (Note: for the exam you do not need to test these assumptions)Using SPSS, test the assumption of Linearity between the independent and dependent variables.Using SPSS, test the assumption of Normality for the dependent variable.Conduct a multiple linear regression using SPSS. Provide relevant SPSS output and assess the statistical significance of the effects of mother’s Age, BMI, and Coffee (Cups per Day) on Birth weight. (30 points)Explain the practical implications of your finding. Include a reference to the R square of the model in your discussion. (20 points)Discuss whether or not there is interaction (effect modification) first between Age and BMI and second between BMI and Coffee. (20 points)