Highlights of Primitive Quotient Data

Overview of the survey

  • Randomized national sample of adults, collecting data between May __ and __, 2020.

  • Survey allowed for the development and testing of a reliable Primitive Quotient instrument.

  • Primitive Quotient instrument entails 28 questions that determine an individual’s degree of primitiveness, according to the model developed by Marco Greenberg in his book Primitive

  • 48.4% of the sample identified as male; 50.3% identified as female; 1.3% didn’t share their gender

  • Average age in the sample was between 45-49 years old and the average annual income was approximately $75,000

  • In line with national data, approximately 64% of the sample hold a college degree, with 18% also holding a Masters, 8% holding an advanced professional degree (MD, JD, etc.), and 3% holding a doctorate

  • Respondents work in at least 23 different industries, with the common reported industries being Education (10.5%), Healthcare (7.4%), and Information Technology (5.2%).


Key findings

Entrepreneurship

  • Those high in Primitive Quotient are around 2.5 times more likely than those low in PQ to start an entrepreneurial venture.

  • Those high in PQ report their entrepreneurial ventures were successful at nearly 3 times the rate of those low in PQ.

  • Overall, 28.2% of respondents have launched entrepreneurial ventures at one point and 72.8% have not.

  • Men are 60% more likely to report launching an entrepreneurial venture than women

COVID Reaction

  • Those high in PQ are 2 times more likely than those low in PQ to report being motivated to reevaluate professional priorities as a result of the COVID crisis.

  • Those low in PQ are around 2 times more likely than those high in PQ to feel that the COVID situation is no big deal.

  • 11% of the respondents reported losing their job due to the COVID crisis

  • Overall, the distribution of reactions to the COVID crisis was:

    • Fearful: 33.4%

    • No big deal: 11.8%

    • Distracted: 16.1%

    • Risk averse: 13.6%

    • Motivated to reevaluate my professional priorities: 7.1%

    • Grateful to spend time with my family: 18.0%

Gender differences in COVID Reaction

  • Men are 47% more likely than women to report being motivated to reevaluate professional priorities

  • Women are 56% more likely than men to report feeling grateful to spend more time with family

  • Women are 34% less likely than men to report feeling risk averse

Work location preference

  • High PQs are 1.7 times more likely than low PQs to prefer to work in an open office.

  • High PQs are 2 times more likely than low PQs to prefer to work in a shared co-working space.

  • Together, high PQs are 1.8 times more likely than low PQs to prefer an open office or a shared workspace.

  • Overall, the distribution of work location preference in the sample was:

    • Home office: 28.7%

    • Closed door office: 22.6%

    • Cubicle: 7.3%

    • Open office: 18.8%

    • Shared co-working space: 8.6% (Total open office + shared space = 27.4%)

    • Nomadic (frequently changing locations): 14.0%

Gender differences in work location preference

  • Men are more likely than women to prefer a Closed door office (10% more likely), Open office (34%), and Nomadic (24%)

  • Women are more likely than men to prefer a Shared co-working space (51% more likely) and Home office (27%)

Regional differences

  • People living in the Northeast are 22% more likely to have High PQ vs. Low PQ

  • People living in the Midwest are 72% more likely to have Low PQ vs. High PQ

  • There’s no significant difference in the distributions of High and Low PQ among people in the South and West.

Age

  • There is a significant, negative correlation between PQ and age

  • Those in their 20s are around 1.6 times (157%) more likely to have High PQ vs. Low PQ

  • Those in their 50s are 52% more likely to have Low PQ vs. High PQ

Gender

  • Overall, men score higher on PQ than women

  • Men are 22% more likely to have High PQ vs. Low PQ; women are 25% more likely to have Low PQ vs. High PQ  

Income

  • There is a significant, positive correlation between PQ and income

  • Those earning under $50,000 are 36% more likely to have Low PQ vs. High PQ

  • Those earning over $125,000 are 23% more likely to have High PQ vs. Low PQ 

Education (Good to highlight with graduation season upon us?)

  • Those with more formal education are more likely to have High PQ

  • Those without a college degree are 58% more likely to have Low PQ vs. High PQ

  • Those with a Bachelor’s degree are 18% more likely to have High PQ vs. Low PQ; those with Master’s degree are also 18% more likely to have High PQ vs. Low PQ


Note: “High PQ” is defined as those in the top quartile/25% of all respondents and “Low PQ” is defined as those in the bottom quartile/25%.