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Hawthorne effect

Hawthorne effect is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hawthorne effect rather than just read about it. In short: The Hawthorne effect is a type of behavioral reactivity in which individuals modify an aspect of their behavior in response to their awareness of being observed. The effect was discovered in the context of research conducted at the Hawthorne Western Electric plant; however, some scholars think the descriptions are fictitious.

Hawthorne effect — main illustration
Hawthorne effect — illustration

Key takeaways

  • Hawthorne effect belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hawthorne effect to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hawthorne effect from memory before moving on to harder problems.

Reference excerpt

The Hawthorne effect is a type of behavioral reactivity in which individuals modify an aspect of their behavior in response to their awareness of being observed. The effect was discovered in the context of research conducted at the Hawthorne Western Electric plant; however, some scholars think the descriptions are fictitious. The original research involved workers who made electrical relays at the Hawthorne Works, a Western Electric plant in Cicero, Illinois. Between 1924 and 1927, the lighting study was conducted, wherein workers experienced a series of lighting changes that were said to increase productivity. This conclusion turned out to be false. In an Elton Mayo study that ran from 1927 to 1928, a series of changes in work structure were implemented (e.g. changes in rest periods) in a group of six women. However, this was a methodologically poor, uncontrolled study from which no firm conclusions could be drawn. Elton Mayo later conducted two additional experiments to study the phenomenon: the mass interviewing experiment (1928–1930) and the bank wiring observation experiment (1931–32). Henry Landsberger, a sociology professor at UNC-Chapel Hill, later suggested that the novelty of being research subjects and the increased attention from such could lead to temporary increases in workers' productivity. This interpretation was dubbed "the Hawthorne effect".

History The term "Hawthorne effect" was coined in 1953 by John R. P. French after the Hawthorne studies were conducted between 1924 and 1932 at the Hawthorne Works (a Western Electric factory in Cicero, outside Chicago). The Hawthorne Works had commissioned a study to determine if its workers would become more productive in brighter or dimmer levels of light. The workers' productivity seemed to improve when changes were made but returned to their original level when the study ended. It has been alternatively suggested that the workers' productivity increased because they were motivated by interest being shown in them. This effect was observed for minute increases in illumination. In these lighting studies, light intensity was altered to examine the resulting effect on worker productivity. When discussing the Hawthorne effect, most industrial and organizational psychology textbooks refer almost exclusively to the illumination studies as opposed to the other types of studies that have been conducted. Although early studies focused on altering workplace illumination, other changes such as maintaining clean work stations, clearing floors of obstacles, and relocating workstations have also been found to result in increased productivity for short periods of time. Thus, the Hawthorne effect can apply to a cause or causes other than changing lighting.

Illumination experiment The illumination experiment was conducted from 1924 to 1927. The purpose was to determine the effect of light variations on worker productivity. The experiment ran in two rooms: the experiment room, in which workers went about their workday under various light levels; and the control room, in which workers did their tasks under normal conditions. The hypothesis was that as the light level was increased in the experiment room, productivity would increase. However, when the intensity of light was increased in the experiment room, researchers found that productivity had improved in both rooms. The light level in the experiment room was then decreased, and the results were the same: increased productivity in both rooms. Productivity only began to decrease in the experiment room when the light level was reduced to about the level of moonlight, which made it hard to see. Ultimately it was concluded that illumination did not have any effect on productivity and that there must have been some other variable causing the observed productivity increases in both rooms. Another phase of experiments was needed to pinpoint the cause.

Relay assembly experiments In 1927, researchers conducted an experiment where they chose two female workers as test subjects and asked them to choose four other women to join the test group. Until 1928, the team of women worked in a separate room, assembling telephone relays. Output was measured mechanically by counting how many finished relays each worker dropped down a chute. To establish a baseline productivity level, the measurement was begun in secret two weeks before the women were moved to the experiment room, and then continued throughout the study. In the experiment room, a supervisor discussed changes in their productivity. Some of the variables were:

Giving the workers two 5-minute breaks (which they said they preferred beforehand) and then switching to two 10-minute breaks. Productivity increased, but when they were given six 5-minute breaks, productivity decreased because many rests broke the workers' flow. Providing soup or coffee with a sandwich in the morning and snacks in the evening. This increased productivity. Changing the end of the workday from 5:00 to 4:30 and eliminating the Saturday workday. This increased productivity. Changing a variable usually increased productivity, even if the variable was just a change back to the original condition. It is said that this reflects natural adaptation to the environment without knowing the objective of the experiment. Researchers concluded that the workers worked harder because they thought that they were being monitored individually. Researchers hypothesized that choosing one's own coworkers, working as a group, being treated as special (as evidenced by working in a separate room), and having a sympathetic supervisor were the real reasons for the productivity increase. One interpretation, mainly due to Elton Mayo's studies, was that "the six individuals became a team and the team gave itself wholeheartedly and spontaneously to cooperation in the experiment". Further, there was a second relay assembly test room study whose results were not as significant as the first experiment.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hawthorne effect

Start with the simplest possible case. Write down what Hawthorne effect claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hawthorne effect before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hawthorne effect ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hawthorne effect

In research
Hawthorne effect appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hawthorne effect in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hawthorne effect is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1932 in science, 1950s neologisms, Cognitive biases, so understanding it makes those chapters shorter.
In everyday life
Look for Hawthorne effect outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hawthorne effect in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hawthorne effect means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hawthorne effect out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hawthorne effect in simple terms?

The Hawthorne effect is a type of behavioral reactivity in which individuals modify an aspect of their behavior in response to their awareness of being observed. The effect was discovered in the context of research conducted at the Hawthorne Western Electric plant; however, some scholars think the…

Why does Hawthorne effect matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hawthorne effect?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hawthorne effect.

Tags

  • 1932 in science
  • 1950s neologisms
  • Cognitive biases
  • Human behavior
  • Industrial and organizational psychology
  • Observational study
  • Social phenomena

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