16 Jun WHY IS SAMPLE SIZE IMPORTANT?
Scenario 1: A provost of a local university is interested in finding out whether satisfaction differs among doctoral students in the Doctoral of Business Administration (DBA) and Instructional Design Leadership (IDL) programs has consulted your classmate to conduct a research. After doing the research, your classmate determines that there is a statistically significant difference (p= .02) between the DBA students (M=80, SD= 7) and the IDL students (M=82, SD= 7).
1. Based on the scenario 1 above, address the following
a. State a possible research problem and put it in a form of a question
b. Describe the type of data your classmate has probably collected for this study
c. Describe possible variable(s)
d. What were statistical hypotheses
e. Describe the type of data your classmate collected
f. Describe the statistical method(s) that your classmate probably used to analyze data
g. Discuss what these results mean
Scenario 2: Describe a potential study or an actual study where at least 2 groups will be compared on some selected dependent variable (for example, one can undertake a study comparing SAT scores of undergraduate student athletic and non-athletic to determine the success of this student in college measured by their GPA scores). This could be a study related to your field of career, interest, or research. Provide some background of the problem you want to address in the study. Describe the groups to be compared and identify on what parameter(s) you would like to compare them.
a. Identify target population and describe how you would draw a random sample.
i. Why is sample size important?
ii. What are some of the issues that must be taken into account when choosing a sample size?
b. Find or create a data set with at least 40 data observations to be used in this study.
c. Describe the variable(s) to be measured.
d. Discuss the statistical method(s) you would use in this study and their assumptions.
e. Generate graph(s) to help you analyze the data.
f. Conduct the statistical analysis using SPSS and interpret the output.
2. Write a statistical report summarizing your study and analyses including any graphs and statistical outputs. Use the following outline(attached) as a guide. Be sure to include your interpretation of the analysis, how they address the problem at hand, what implications this would have for some other areas and what recommendations you would provide.
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