Assessment, Statistics, and Research

The  Ambivalent Sexism Inventory (ASI)  can be found in a publication by Peter Glick and Susan T. Fiske (1996). The scale is not a general sexism inventory. Instead, the ASI measures sexist attitudes toward women using two subscales: Hostile Sexism and Benevolent Sexism.  Hostile sexism  is the familiar negative prejudice that overtly harms women. The analysis suggested a unitary construct marked by dominance or women.      Example:  Most women interpret innocent remarks or acts as being sexist. Benevolent sexism  is also harmful but is not always recognized by men. Three components are Protective paternalism, Complementary Gender Differentiation, and Heterosexual Intimacy.      Example: Women, compared to men, tend to have a superior moral sensibility. Men who are sexist in this dual sense do not appear to experience tension. For example, they may view women as incompetent for certain work yet feel women ought to be protected. In their article, the authors examined the f

 In a previous post, I reported the value of reporting polling data using averages of many polls for the leading candidates. I mentioned that national polls are interesting but the US chooses a president based on the electoral college. Because the electors are chosen by states, it makes sense to predict winners by observing how the population of a state is likely to vote and thereby decide how many electors "won" by a candidate. This assumes an elector does not go rogue and vote for their preferred candidate. This map can of course change with every new poll, but has the potential for a more accurate prediction than charts of national polls. The chart map video is from NBC News . How do you create map charts? Microsoft Excel has you covered-- see Create a Map chart in Excel .   In Excel, you will find the map option labeled Geography under the Data tab. You can download examples with several map charts from Microsoft . Learn more about surveys in Creating Surveys available o

An excellent example of presenting two sets of data from multiple sources over time can be found in the presentation of polling data on FiveThirtyEight .* The point of  this post is to identify a useful way to present data from multiple sources over time. The charts are continually updated as data from new polls are received*. The data for each of the two main candidates are plotted and a trend line shows the averages for each candidate. From left to right we see the progress based on the dates of each poll. Notes about the chart and the data 1. Percentages can be averaged and yield a meaningful and easy way to interpret multiple sets of data. 2. The narrowing and widening of the trend lines offers a quick glance at what is happening for each candidate or data source. 3. Averaging polls from multiple sources helps avoid bias due to emphasizing preferred outcomes. 4. Below the chart are tables of data showing important information useful to research methods    4.1 Dates are listed and a