The Hawthorne Effect - Case Notes

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Notes
Author - Tim Brazill - Summer
1998
Background - The Hawthorne Effect refers
to the tendency of human subjects to modify their behavior (from what might otherwise be
expected) when they know (or believe) that they are part of an experiment (or are simply
under observation). The name of the effect stems from the locale of the original research
that first brought the problem to light: The Hawthorne Works (Chicago) branch of the
Western Electric Co. The management of this plant began research in 1924 to discover ways
to improve employee productivity (and later, morale). The first segment of the research
(which lasted until 1927) focused on the effects of illumination in the work place
(Roethlisberger & Dickson, 1941, 14-18). They discovered that changes in illumination,
generally (though somewhat unpredictably) produced increases in production, regardless of
whether the light was increased or decreased. They initially attributed these results to a
variety of uncontrolled factors, and thus sought to refine their techniques. They
replicated the study in another department, and this time introduced a control group.
Both the treatment and control groups showed the same increase once again. The
researcher's realized that they thus could not attribute the increase for the treatment
group to the changes in illumination, but did not yet realize the source.
This brings us to their next step (and the principal focus of
the case study), which was to further control the environment by isolating a very small
(n=5) group of workers for an intensive period of study. The workers were recruited for
their cooperative nature (ibid., 21-22), and then were told of the importance of the
experiment (though they were urged to work at their "natural rate", ibid.
32-33). You should note once again that this is not ideal research protocol any
longer. Anyway, they then subjected these five women (two of which were replaced
after the first seven months) to two years of various test periods, each incorporating a
variety of rest periods, breaks, and changes in schedule. As is clear from the results
(ibid. 76), their output showed the same general increase over the course of the study.
The researchers proposed and tested five new hypotheses (ibid., 87-89) to explain the
results, each of proved somewhat unsatisfactory. Finally, after intensive interviews with
the women it became clear that what they were responding to was the fun, excitement,
and/or unusualness of the experimental situation itself. Thus, an interesting facet of
human behavior (see also: social facilitation), and a major potential source of bias in
human behavior research was discovered serendipitously.
Important Notes:
- This case is essentially an object lesson in what NOT to do when
experimenting with (or obtrusively observing) human beings. This point should be driven
home at the end of the case (using discussion of their findings on Group Worksheet #3).
- In setting the background for the case, I would NOT discuss the
earlier illumination studies, as it gives away the solution (the use of control groups,
even though Roethlisberger and Dickson didn't realize it).
- It might be helpful to point out how the workers were paid (see
pages 12-14), and that the pay rate change alluded to in Period 3 was meant to make sure
they were NOT getting any more than what they had gotten in the regular shop floor (see
pp. 34-36).
- It might also be helpful to describe their normal working
conditions as specified in Period II (page 33). Note that they were provided with a
noon-time 45 minute meal each day. The "lunches" referred to in Table III
in the initial reading are actually what we would call snacks.
- Some students will want to claim that the increases might just be
a result of increasing skill over the study period, but the women had been working at or
near the shop average output for two years or so (on average) prior to the experiment. See
pace 23.
- While students are completing worksheet #1
- You might want to try to tease out of them the reasons for the
strict control of the environment (to rule out the effects of extraneous variables that
might intrude on the cause-effect relationship we're trying to establish).
- The importance of the first two periods is, of course, to
establish a baseline of behavior against which you can judge the effects of the testing
periods. You're setting them up here, of course, because what is also needed is a
control group.
- The second question is a little vague. "Increasing or
decreasing" compared to what? The baseline or the previous period? I leave that up to
the user to clarify as you see fit.
- I'd discuss their predictions as a class, prior to moving on.
- While students are completing worksheet #2
- Students might point out that the sample is small, and so the
study is flawed from the beginning. This might be true if the researchers were trying to
generalize from this ONE study to a much larger population. You might bring up the
importance of replication. More to the point though, try to keep them on the track of just
seeking to explain the behavior of these 5 individuals.
- Hopefully, their predictions will NOT match well, and thus they
will be surprised by the results, and their curiosity piqued.
- I'd also talk about their potential explanations before giving
them the punchline.
- Group Worksheet #3
- You might want to have them work on this at home or as a second
class-day assignment (brainstorming without the Carey text might be fun, but I don't know
if they will come up with the control group idea on their own).
- Some solutions include
- more unobtrusive observation or field experiments (but this
lessens control)
- deliberate deception or the use of a cover story (but this raises
ethical concerns)
- asking the subjects to be "faithful" (but note,
Roethlisberger and Dickson did this and it didn't work)
- the use of a control group that experiences all the same
attention but none of the independent variable manipulations (this is the preferred
method).
- Note the inclusion of the related idea of the "placebo
effect"
- And you can wrap it all up with the role of serendipity in
science