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Men vs. Women Bias Test

Implicit Association Tests (IATs) were developed at Harvard University as a way to test for subconscious associations in people’s mentality. Today, IATs are widely used to check for stereotypes, biases, and unconscious representations.

Do you have implicit associations in favor of women or men? To take the test, follow the instructions below.


Round 0 of 0

Tap the left side of the screen for %s or %s.

Tap the right side of the screen for %s or %s.

If you make a mistake, a red X will appear. Click the other side of the screen to continue.

Go as fast as you can while being accurate.



Item of

The IDRlabs Men vs. Women Implicit Association Test was compiled from various studies in Implicit Association Tests. The quiz provides an informed indication of your mental representation of each religion’s characteristics, extracted from standard Implicit Association theory. The test is merely a first glance related to unconscious mental biases and should not take the place of familiarizing oneself with gender characterization in depth.

The test measures whether you are biased in favor of Men or Women by using the well-known framework of implicit associations. The idea is to measure the test taker’s latency time in associating pleasant and unpleasant connotations of the gender being tested—in this case, the traditional genders of male and female.

Implicit Association Tests measure reaction times. They do not purport to be exhaustive or normative, especially when it comes to disabled or neurotypical test subjects. The test gives you the most plausible interpretation of your results. It does not contend to be correct in every case.

The point of Implicit Association Tests is to reveal unconscious biases in people’s cognition. This site does not endorse biases or discrimination of any kind. The site does not hold, advocate, or encourage the adoption of any political or social stances deemed hateful or threatening to human rights. Any comments, associations, or actions condoning hate speech made by users do not concur with the aims of the site.

The present test is based on the following materials and publications: Greenwald, Anthony G.; McGhee, Debbie E.; Schwartz, Jordan L.K. (1998), "Measuring Individual Differences in Implicit Cognition: The Implicit Association Test", Journal of Personality and Social Psychology, 74 (6): 1464–1480, CiteSeerX Greenwald, A. G.; Banaji, M. R. (1995). "Implicit social cognition: Attitudes, self-esteem, and stereotypes". Psychological Review. 102 (1): 4–27. CiteSeerX Nosek, B. A.; Greenwald, A. G.; Banaji, M. R. (2005). "Understanding and using the Implicit Association Test: II. Method variables and construct validity". Personality and Social Psychology Bulletin. 31 (2): 166–180. Thomas, Gregory (June 2016). "The Development and Validation of an Implicit Measure Based on Biospheric Values" (PDF). Environment & Behavior. 48 (5): 659–685.

The authors of this free online Men vs. Women Implicit Association Test are certified in the use of various personality tests and have worked professionally with psychology, political psychology, and personality testing. Before using our free online test, please note that the results are provided "as-is", for free, and should not be construed as providing professional or certified advice of any kind. For more on our Men or Women Implicit Association Test, please consult our Terms of Service.

Why Use This Test?

1. Free. This online Implicit Association Men or Women Test is delivered to you free of charge and will allow you to obtain an indication of your implicit associations related to women and men.

2. Based on university research. This test was created using research from Harvard University.

3. Statistical controls. Test scores for the present test are entered into an anonymized database. Statistical analysis of the test is performed to ensure maximum validity and accuracy of the results.

4. Developed by professionals. The Implicit Association Men vs. Women Test was created by researchers and psychology professionals who work with psychometrics.