Analysis Project: (due 12/11 at 23:59)
Develop an analysis project using an existing data set. You should use one or more of the inferential statistical analysis methods covered in this course. The project presentation should include at least the following:
Rationale for and purpose of the project.
Specific Aims/research questions and hypotheses.
Background/review of literature for the project. Provide sufficient background and significance for your study to support your specific aims and justify the importance of the project.
Method. Design, sample, setting and measures that may use to collect the existing data and data analysis section describing the analyses you performed for this project.
Results. Present your results in text and appropriately in a table(s) and/or figure(s). Include characteristics of the sample studied.
Discussion. Interpret your results in the context of the information you provided in your background and significance.
Limit your presentation to no more than 15 slides (excluding tables, figures, and references). You will lose 5% of your possible total for every assignment for each day or portion of a day late you turn in an assignment.
X. General course requirements and procedures:
It is necessary for you to have access to SPSS for Windows (v. 20 or higher) to complete your assignments. You are required to do your own work in this course. Any written assignments that you turn in (as well as your PowerPoint presentation for your final project) should be the product of your effort alone. This does not prevent you from discussing assignments or your project with your colleagues who are currently taking the course. When discussing assignments or class topics with classmates, it is fine to collaborate for the purpose of clarity and increased understanding, but in the end you must submit your own work.
COURSE CALENDAR/SCHEDULE: The instructor reserves the right to make changes to (delete, add, or modify) this Syllabus as the semester progresses. If any schedule revisions students will be alerted via email or Blackboard announcements of changes. The course calendar/schedule will be posted in the course. Specific readings, dates and times for assignments will be presented.