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Russel-Research-Method-in-Anthropology

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Direct and Indirect Observation 433<br />

those beepers, you can collect spot-observation data from lots of people at<br />

once.<br />

In anthropology, Garry Chick used ES <strong>in</strong> his study (1994) of a small<br />

mach<strong>in</strong>e-tool company <strong>in</strong> Pennsylvania. Chick wanted to test Marx’s theory<br />

that automation would elim<strong>in</strong>ate the need for skilled labor by turn<strong>in</strong>g complex<br />

tasks <strong>in</strong>to a series of rout<strong>in</strong>e steps that could be performed by drones. Drones<br />

should f<strong>in</strong>d their work bor<strong>in</strong>g, unsatisfy<strong>in</strong>g, and unimportant.<br />

There were 11 mach<strong>in</strong>ists, all men, <strong>in</strong> the small shop. Four of them worked<br />

on traditional, manually controlled lathes <strong>in</strong> turn<strong>in</strong>g out mach<strong>in</strong>e tools. Three<br />

worked only on a newly <strong>in</strong>stalled, computer-controlled lathe (you program it<br />

to do a job and then you more-or-less stand by while it executes your <strong>in</strong>structions).<br />

And four worked on both types of lathes, depend<strong>in</strong>g on the job.<br />

Each man was beeped 30 times—six times a day over a 5-day week—and<br />

at each beep, he stopped what he was do<strong>in</strong>g with<strong>in</strong> 10 m<strong>in</strong>utes and filled out<br />

a 2-m<strong>in</strong>ute questionnaire. (Each man kept a spiral-bound booklet of questionnaires<br />

handy <strong>in</strong> the shop.) There should have been 330 questionnaires (11 men<br />

fill<strong>in</strong>g out 30 each), but one man was beeped while he was <strong>in</strong> the bathroom<br />

and one was beeped while he was fill<strong>in</strong>g out a questionnaire (hav<strong>in</strong>g been<br />

beeped two m<strong>in</strong>utes before). That’s what happens when you collect data at<br />

random po<strong>in</strong>ts, but random means random and no t<strong>in</strong>ker<strong>in</strong>g with it.<br />

For each of the experience samples, workers <strong>in</strong>dicated what they were<br />

do<strong>in</strong>g. If they were operat<strong>in</strong>g a mach<strong>in</strong>e (or more than one), they <strong>in</strong>dicated<br />

which one(s). Then they answered 14 attitude questions. Here they are:<br />

On a scale from 1–10, where 1 means ‘‘def<strong>in</strong>itely not’’ and 10 means ‘‘def<strong>in</strong>itely<br />

yes,’’ what I was do<strong>in</strong>g:<br />

1. was enjoyable.<br />

2. was <strong>in</strong>terest<strong>in</strong>g.<br />

3. was complex/technical.<br />

4. was fun.<br />

5. was under my control.<br />

6. was monotonous.<br />

7. was mach<strong>in</strong>e paced.<br />

8. was tricky.<br />

9. held my attention.<br />

On a scale from 1–10, where 1 means ‘‘def<strong>in</strong>itely not’’ and 10 means ‘‘def<strong>in</strong>itely<br />

yes,’’ at the time I was signaled, I was:<br />

10. pressed for time.<br />

11. work<strong>in</strong>g on my own.<br />

12. th<strong>in</strong>k<strong>in</strong>g about th<strong>in</strong>gs other than work.<br />

13. do<strong>in</strong>g someth<strong>in</strong>g that I felt was important.<br />

14. do<strong>in</strong>g someth<strong>in</strong>g that required a lot of skill.

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