Category: Data

Graduate Surveys We’d Like to See

If there’s one type of Canadian educational survey where complete and utter stasis has set in, it’s graduate surveys. Questions like “are you employed,” “what are your earnings,” and “were you satisfied with your education” aren’t just boring, I think they’re actively making us stupider. There seems to be a general view that because the answers to these questions don’t change very much from year to year, that we’re doing as good a job as we ever have. But labour

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No More Boring Surveys

As most of you probably know, we at HESA spend a lot of our time working on surveys. While doing so, we see a lot of different types of survey instruments, especially from governments and institutions. And we’ve come to a major conclusion: Most of them are really boring. There was a time – say fifteen years ago– when doing surveys of applicants, graduates and alumni was relatively rare. There weren’t any surveys of satisfaction, or engagement, or anything else,

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Comparative Salary Data – Canada vs. U.S.

Yesterday, we looked at trends in Canadian faculty salary data. But how does our compensation stack up again the United States? Here, I take 2009-10 U.S. salary data for professors at four-year institutions from the AAUP’s Report on the Status of the Academic Profession. For Canada, I use the same data as yesterday but add professors in medical fields. I do not adjust for currency since the dollar is roughly at par. The comparison looks like this: Canada vs. U.S.

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A Good Decade for Profs

I was browsing through some Statistics Canada data on university salaries the other day, and I rapidly came to the conclusion that there have been few decades in which it was better to be a prof than the last one. As the following table shows, over the years 2001 to 2009 (the years for which I could get good-quality data from Statscan for free – this email’s not paying a paying gig unfortunately), pay for full professors in non-medical disciplines

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Fun with Class Size Data

Yesterday, I promised to show you some of the data on our alternative measure of class size (see here for more details). Some preliminaries, though: Our measure of “average number of classmates” may be a bit crude (it depends on student estimates of class sizes), but it is robust. Institutional averages bounce around by a few percent each year, but long-term averages – which at most institutions involve between two and four thousand observations – are pretty stable. To avoid

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