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1754 andrew gelman stats-2013-03-08-Cool GSS training video! And cumulative file 1972-2012!


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Introduction: Felipe Osorio made the above video to help people use the General Social Survey and R to answer research questions in social science. Go for it! Meanwhile, Tom Smith reports: The initial release of the General Social Survey (GSS), cumulative file for 1972-2012 is now on our website . Codebooks and copies of questionnaires will be posted shortly. Later additional files including the GSS reinterview panels and additional variables in the cumulative file will be added. P.S. R scripts are here .


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1 Felipe Osorio made the above video to help people use the General Social Survey and R to answer research questions in social science. [sent-1, score-0.815]

2 Meanwhile, Tom Smith reports: The initial release of the General Social Survey (GSS), cumulative file for 1972-2012 is now on our website . [sent-3, score-1.048]

3 Codebooks and copies of questionnaires will be posted shortly. [sent-4, score-0.489]

4 Later additional files including the GSS reinterview panels and additional variables in the cumulative file will be added. [sent-5, score-1.669]


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Introduction: Felipe Osorio made the above video to help people use the General Social Survey and R to answer research questions in social science. Go for it! Meanwhile, Tom Smith reports: The initial release of the General Social Survey (GSS), cumulative file for 1972-2012 is now on our website . Codebooks and copies of questionnaires will be posted shortly. Later additional files including the GSS reinterview panels and additional variables in the cumulative file will be added. P.S. R scripts are here .

2 0.22193687 1458 andrew gelman stats-2012-08-14-1.5 million people were told that extreme conservatives are happier than political moderates. Approximately .0001 million Americans learned that the opposite is true.

Introduction: A Brooks op-ed in the New York Times (circulation approximately 1.5 million): People at the extremes are happier than political moderates. . . . none, it seems, are happier than the Tea Partiers . . . Jay Livingston on his blog (circulation approximately 0 (rounding to the nearest million)), giving data from the 2009-2010 General Social Survey, which is the usual place people turn to for population data on happiness of Americans: The GSS does not offer “bitter” or “Tea Party” as choices, but extreme conservatives are nearly three times as likely as others to be “not too happy.” Livingston reports that the sample size for “Extremely Conservative” here is 80. Thus the standard error for that green bar on the right is approx sqrt(0.3*0.7/80)=0.05. So how could Brooks have made such a mistake? I can think of two possibilities: 1. Brooks has some other data source that directly addresses the happiness of supporters of the Tea Party movement. 2. Brooks looked a

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Introduction: Since we’re on the topic of nonreplicable research . . . see here (link from here ) for a story of a survey that’s so bad that the people who did it won’t say how they did it. I know too many cases where people screwed up in a survey when they were actually trying to get the right answer, for me to trust any report of a survey that doesn’t say what they did. I’m reminded of this survey which may well have been based on a sample of size 6 (again, the people who did it refused to release any description of methodology).

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Introduction: Journalism in the age of data is a video report including interviews with many visualization people. It’s also a great example of how citations, and further information appear alongside with the video – showing us the future of video content online.

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Introduction: See, for example, this report by Deborah Carr on changing attitudes about marital infidelity: Two great things about the General Social Survey are: (1) the data are freely available online , and (2) the same questions have been asked since 1972 so you get a nice long series.

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Introduction: Maria Wolters writes: The parenting club Bounty, which distributes their packs through midwives, hospitals, and large UK supermarket and pharmacy chains, commissioned a fun little survey for Halloween from the company OnePoll . Theme: Mothers as tricksters – tricking men into fathering their babies. You can find a full smackdown courtesy of UK-based sex educator and University College London psychologist Petra Boynton here . (One does wonder how a parenting club with such close links to the UK National Health Service thought a survey on this topic was at all appropriate, but that’s another rant.) So far, so awful, but what I [Wolters] thought might grab your attention was the excuse OnePoll offered for their work in their email to Petra. (Petra is very well known in the UK, and so was able to get a statement from the polling company.) Here it is in its full glory, taken from Petra’s post: As the agency which commissioned this research and distributed the resulting new

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Introduction: A couple years ago we had an amazing all-star session at the Joint Statistical Meetings. The topic was new approaches to survey weighting (which is a mess , as I’m sure you’ve heard). Xiao-Li Meng recommended shrinking weights by taking them to a fractional power (such as square root) instead of trimming the extremes. Rod Little combined design-based and model-based survey inference. Michael Elliott used mixture models for complex survey design. And here’s my introduction to the session.

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