Guidelines for Soc 280B and Soc 381 presentations.
Draft November, 2011.
* Presentation outline
* In-Class Presentation
For this in-class presentation, you must do some original data analysis..
If you are doing work on a dataset already, use that data. If you don’t have a dataset in mind, start searching the ICPSR archives, http://www.icpsr.umich.edu/icpsrweb/landing.jsp
You can also check ipums, at http://www.ipums.org/
And there are lots of project-specific data websites out there; I have a project on How Couples Meet with data here: http://data.stanford.edu/hcmst
1) In-Class Presentation:
* The in-class presentation should be a 10 minute presentation. It is important to stick to the allotted time, so practice and time yourself before hand.
* The presentation will consist of one empirical question, which should be stated clearly at the beginning of the presentation.
* The empirical question must be tested with a dataset. The dataset can be CPS data, or any other dataset. Other publicly available datasets are available via ipums. You may use your own data, even proprietary data, as long as you explain, very briefly in the presentation, where the data come from.
* A proper test of the empirical question can be made with two tables, or two slides [soc 381 can use up to 5 substantive slides].
*You can email me your slides before the presentation, and I can put them up on screen for you.
a) The first slide will include summary statistics. If the question were, for instance, whether women were healthier than men, you would show average self-reported health scores for men and women, perhaps for a few different age or education categories. In this first slide, if appropriate, present some univariate statistical tests of your main hypothesis.
b) The second slide will include some type of statistical test of your hypothesis, with a couple of control variables if they are appropriate. You can do this either with regression, or with T-tests and partitioning the dataset.
* A brief conclusion, and that’s it.
* A small bit of the presentation grade will be for the presentation style. By presentation style, I mean: don’t read from printed text. You may refer to notes, but please look up and make eye contact with your audience. Speak loud enough to be heard. Try to limit the use of space-filling words and phrases like “I mean,” and “Umm.” A few of these are unavoidable, just try to keep them to a minimum. Also, please avoid saying “sorry.”
* Your presentation slides should list clearly what dataset is being used, what the relevant (unweighted) sample sizes are, and precisely what variables are being considered or compared.
* Follow the advice of Edward Tufte and make your slides as clear as possible, and “above all else show the data.”
* Remember to make slides and tables self-explanatory. Label variables and comparisons in a way that would be clear to a general reader. Don’t use ipums variable names or Stata jargon in your tables.. Be sure to include units for every variable, and indicate the excluded category for categorical variables in regression output.
* Are your data a random or representative sample of some larger population? If so, identify and define the larger population. If your data are not a random and representative sample (for instance, a convenience sample or an entire population set), explain why not, and explain whether or how you think this lack of representativity limits your ability to do inferential statistics and hypothesis testing.
2) The presentation outline comes before the presentation, but I list it here second because the purpose of the presentation outline is to get you working on the presentation, and so you need to think about the presentation as the goal, and the outline as a step along the way.
*One week before the date of your in-class presentation, you should email professor Rosenfeld approximately two pages of text and two substantive slides [for Soc 381, this can be up to 6 pages of text, and up to 3 substantive slides]. See the Presentation description above for a description of what the slides should be. The text should deal with the following questions:
a) What is the question?
b) What is the data? How was it gathered? Define the sampling frame. Define the key variables, and explain their relationship to the key concepts you want to test.
c) What do your analyses show?
d) What is your conclusion?
e) What limitations do the data impose on your hypotheses or your conclusions?