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    Review of 'Look Who's Talking : Gender Differences in Academic Job Talks'

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    Look Who's Talking : Gender Differences in Academic Job TalksCrossref
    Interesting article but needs a little bit more context
    Average rating:
        Rated 3.5 of 5.
    Level of importance:
        Rated 4 of 5.
    Level of validity:
        Rated 3 of 5.
    Level of completeness:
        Rated 4 of 5.
    Level of comprehensibility:
        Rated 3 of 5.
    Competing interests:
    None

    Reviewed article

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    • Abstract: found
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    Look Who's Talking : Gender Differences in Academic Job Talks

    The "job talk"is a standard element of faculty recruiting. How audiences treat candidates for faculty positions during job talks could have disparate impact on protected groups, including women. We annotated 156 job talks from five engineering and science departments for 13 categories of questions and comments. All departments were ranked in the top 10 by US News & World Report. We find that differences in the number, nature, and total duration of audience questions and comments are neither material nor statistically significant. For instance, the median difference (by gender) in the duration of questioning ranges from zero to less than two minutes in the five departments. Moreover, in some departments, candidates who were interrupted more often were more likely to be offered a position, challenging the premise that interruptions are necessarily prejudicial. These results are specific to the departments and years covered by the data, but they are broadly consistent with previous research, which found differences of comparable in magnitude. However, those studies concluded that the (small) differences were statistically significant. We present evidence that the nominal statistical significance is an artifact of using inappropriate hypothesis tests. We show that it is possible to calibrate those tests to obtain a proper P-value using randomization.
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      Review information

      10.14293/S2199-1006.1.SOR-STAT.AC19AL.v1.RBVZHE
      This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

      Applications,Statistics
      randomization tests,type III error,job talk,nonparametric,permutation,gender,academia

      Review text

      This is an interesting article looking at gender differences in questions asked at job talks. I think the article could be improved in several ways. Firstly, more time could be devoted to in the Introduction/Background section to talking about the context -- a more indepth discussion of previous work, and perhaps more on the sociological/cultural mechnisms underlying various hypotheses about why different types of questions would create environments or situations of gender inequality. At the moment the conclusion is that the effects weren't significant --- and maybe that doesn't matter to gender inequality --- but it would be nice to see more of this discussion up front. 

       

      Other points/questions:

      - a few things need to be better clarified. For example, the terms rating/rater, 'events' are used early on but not very well defined

      - The test statistic is chosen based on the median number of questions. I was wondering if any analysis was done based on the tone/types of questions asked

      - in the regression, did you consider for controlling for other covariates? for example, number of publications, whether or not the speaker was trained in the same discipline as the department?

       

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