Posts Tagged ‘ Sociology ’

Workshop on German national educational panel study

February 16, 2017
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Jutta von Maurice of the Leibniz Institute for Educational Trajectories in Germany writes: In August this year, we plan to hold a user workshop in New York. We have data on educational processes and competence development from early childhood till late adulthood (n=60.000) and these data might be of special interest for international comparisons. Within […] The post Workshop on German national educational panel study appeared first on Statistical Modeling,…

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Cry of Alarm

February 16, 2017
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Cry of Alarm

Stan Liebowitz writes: Is it possible to respond to a paper that you are not allowed to discuss? The question above relates to some unusual behavior from a journal editor. As background, I [Liebowitz] have been engaged in a long running dispute regarding the analysis contained in an influential paper published in one of the […] The post Cry of Alarm appeared first on Statistical Modeling, Causal Inference, and Social…

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Identifying Neighborhood Effects

February 14, 2017
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Identifying Neighborhood Effects

Dionissi Aliprantis writes: I have just published a paper (online here) on what we can learn about neighborhood effects from the results of the Moving to Opportunity housing mobility experiment. I wanted to suggest the paper (and/or the experiment more broadly) as a topic for your blog, as I am hoping the paper can start […] The post Identifying Neighborhood Effects appeared first on Statistical Modeling, Causal Inference, and Social…

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Measurement error and the replication crisis

February 11, 2017
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Measurement error and the replication crisis

Alison McCook from Retraction Watch interviewed Eric Loken and me regarding our recent article, “Measurement error and the replication crisis.” We talked about why traditional statistics are often counterproductive to research in the human sciences. Here’s the interview: Retraction Watch: Your article focuses on the “noise” that’s present in research studies. What is “noise” and […] The post Measurement error and the replication crisis appeared first on Statistical Modeling, Causal…

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I was gonna write a post entitled, “Unlocking past collaboration: student use affects mood and happiness,” but it didn’t seem worth the bother

February 8, 2017
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I was gonna write a post entitled, “Unlocking past collaboration: student use affects mood and happiness,” but it didn’t seem worth the bother

Ivan Oransky points us to this hilarious story of a retracted paper in Psychological Science. The hilarious part is not the article itself (a dry-as-dust collection of small-N experiments with open-ended data-exclusion and data-analysis rules, accompanied by the usual scattering of statistically significant p-values in the garden) or even the reason for the retraction: A […] The post I was gonna write a post entitled, “Unlocking past collaboration: student use…

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Theoretical statistics is the theory of applied statistics: how to think about what we do (My talk at the University of Michigan this Friday 3pm)

February 7, 2017
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Theoretical statistics is the theory of applied statistics: how to think about what we do (My talk at the University of Michigan this Friday 3pm)

Theoretical statistics is the theory of applied statistics: how to think about what we do Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University Working scientists and engineers commonly feel that philosophy is a waste of time. But theoretical and philosophical principles can guide practice, so it makes sense for us to […] The post Theoretical statistics is the theory of applied statistics: how to think about…

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The “What does not kill my statistical significance makes it stronger” fallacy

February 6, 2017
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The “What does not kill my statistical significance makes it stronger” fallacy

As anyone who’s designed a study and gathered data can tell you, getting statistical significance is difficult. Lots of our best ideas don’t pan out, and even if a hypothesis seems to be supported by the data, the magic “p less than .05” can be elusive. And we also know that noisy data and small […] The post The “What does not kill my statistical significance makes it stronger” fallacy…

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Criticism of bad research: More harm than good?

January 31, 2017
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Criticism of bad research:  More harm than good?

We’ve had some recent posts (here and here) about the research of Brian Wansink, a Cornell University business professor who’s found fame and fortune from doing empirical research on eating behaviors. It’s come out that four of his recent papers—all of them derived from a single experiment which Wansink himself described as a “failed study […] The post Criticism of bad research: More harm than good? appeared first on Statistical…

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No guru, no method, no teacher, Just you and I and nature . . . in the garden. Of forking paths.

January 30, 2017
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No guru, no method, no teacher, Just you and I and nature . . . in the garden.  Of forking paths.

Here’s a quote: Instead of focusing on theory, the focus is on asking and answering practical research questions. It sounds eminently reasonable, yet in context I think it’s completely wrong. I will explain. But first some background. Junk science and statistics They say that hard cases make bad law. But bad research can make good […] The post No guru, no method, no teacher, Just you and I and nature…

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Age period cohort brouhaha

January 29, 2017
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Age period cohort brouhaha

Hi everybody! In August, I announced a break from blogging. And this is my first new post since then. (not counting various interpolated topical items on polling, elections, laughable surveys comparing North Carolina to North Korea, junk science on pizza prices, etc) I’m still trying to figure out how to do this; I have a […] The post Age period cohort brouhaha appeared first on Statistical Modeling, Causal Inference, and…

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