Two weeks ago I claimed that women report higher job satisfaction when they work in countries where tech is more male-dominated. And then instead of backing up my claim last week, I got sidetracked by questions of sample size and statistical power. In a previous blog post I introduced the Kaggle survey on women in tech and I did some basic data cleaning for that survey. To save time and get to the point, I now pick up where I left off.
Last week I ended the blogpost saying I would share results from the Kaggle survey this week, but actually there’s something else I want to talk about first Sample size In social science research we are mostly working with data collected by someone else. That’s because the scale of the survey data we need to be representative of a country or multiple countries is too big and too expensive for one person to collect by themselves.