Gender bias in teacher ratings

I think if you asked most students if they think women professors are worse teachers than men professors, they’d say “no” emphatically. None of us wants to be biased–we want our ratings of faculty members to reflect their actual teaching ability.

That’s why this study might come as a (disappointing) surprise. The research was covered by PsyPost here.(The empirical article is linked here.) You’ll see that the study’s purpose emerged out of the context of Italian University philosophy professors:

Here is a description of the results:

  1. Re-read the text above and focus on identifying the main variables of the study. Classify each variable on the table below. Here’s a hint: The study had two IVs (that is, two factors) and several dependent variables. In addition, one of the two IVs (one of the factors) was a Participant Variable–a variable that acts like an IV but whose levels are actually not manipulated. 
Variable nameLevels of this variableWere the levels of this variable manipulated or measured? Was this an Independent variable (IV)? A participant variable (PV)? Or a dependent variable? For IVs and PVs: was it independent groups or within groups? 

b. This was a 2×2 factorial design. Consult your table above and decide: Was it a 2×2 independent groups factorial? A 2×2 within groups factorial? Or was it a 2×2 mixed factorial? Explain your answer.

c. In this design, take a look at the gender factors. There are two!  One of them is a true IV and one is a PV.  Can you explain why?It might help to label one of them, ‘Target Gender” and the other one “Perceiver Gender”.  

d. Sketch a graph of the results, using “clarity” as your DV. Put gender of professor on the x-axis and gender of participant as two different colors/line types.

Let’s keep going: There was a second study. Here is the description:

e. Make sure you know the difference in method between the first and second study. Which one do you think has a better method? Why?

f. This was also 2×2 factorial design. Same as before, decide: Was it a 2×2 independent groups factorial? A 2×2 within groups factorial? Or was it a 2×2 mixed factorial? Explain your answer.

g. Sketch a graph of the results, using “clarity” as your DV again. Put gender of professor on the x-axis and gender of participant as two different colors/line types.

h. Speculate: Why might the two studies have produced different results?

i. Which of these studies has more ecological validity—that is, which is more similar to the real world, and why?

j. The study was conducted on Italian students—do you think this matters? Why or why not?

k. A skeptical reader might say the following: “Maybe the women professors really were less clear than the men professors, and that’s why they were rated lower?” What do you say in response—how does the study’s design rule out this critique? Which of the four Big Validities is this question getting at?

l. Similarly, a critical reader might say, “Maybe the students who rated the male professors as being more clear were just smarter students—could that explain their ratings?”  How does the study’s design rule out this critique?

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