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Uncertainty management theory

Uncertainty management theory 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 Uncertainty management theory rather than just read about it. In short: Uncertainty management theory (UMT), developed by Dale Brashers, addresses the concept of uncertainty management. Several theories have been developed in an attempt to define uncertainty, identify its effects and establish strategies for managing it.

Uncertainty management theory — main illustration
Uncertainty management theory — illustration

Key takeaways

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

Reference excerpt

Uncertainty management theory (UMT), developed by Dale Brashers, addresses the concept of uncertainty management. Several theories have been developed in an attempt to define uncertainty, identify its effects and establish strategies for managing it. Uncertainty management theory was the first theory to decline the idea that uncertainty is negative. It was developed and has been applied considering uncertainty neutral; neither positive nor negative. Although viewed as neutral, researchers of uncertainty management propose that uncertainty can be utilized strategically for beneficial purposes while also acknowledging that the effects of uncertainty can be harmful, espousing an approach that requires examination of each situation, the parties involved, the issues at stake and the desired objectives for determining the best method for managing uncertainty, with reduction being one of the many management techniques.

Background

Uncertainty Management Theory (UMT) was developed by Dale Brashers, an associate professor of Speech Communication at the University of Illinois at Urbana Champaign. Brashers died in 2010 after spending more than 20 years researching uncertainty management. Before Brashers' work, the most prominent literature in the field of uncertainty management was that of Charles Berger. Berger's Uncertainty Reduction Theory (URT) continues to be the dominant theory of uncertainty management, with much of the additional work on this topic being a continuation of Berger's research. This includes the work of William Gudykunst, who continued with Berger's line of thinking, partnering together with him on Anxiety-Uncertainty Management (AUM) theory. Both of these theories focus on the idea that uncertainty produces anxiety. Because of the anxiety produced by heightened levels of uncertainty, individuals are highly motivated to reduce uncertainty. Uncertainty Reduction posits that individuals would rather receive bad news than continue in a state of uncertainty. This thinking was widely accepted, with uncertainty being studied almost exclusively through this lens before the introduction of UMT. With UMT, Brashers established that to fully understand the effects of uncertainty and how uncertainty contributes to various aspects of human life humanity must first move away from the idea that all uncertainty is negative. Brashers approached uncertainty as neutral (neither good nor bad), acknowledging that uncertainty reduction is one of many possible responses to situations that are lacking in the information necessary for full understanding. Brashers notes, however, that individuals will sometimes choose to remain in a state of uncertainty even though reduction opportunities are available.

Aspects of uncertainty Uncertainty is an unavoidable aspect of everyday life. The degree to which it is felt in a given situation varies among individuals. Because uncertainty is dependent upon perspective, "a person who believes himself or herself to be uncertain is uncertain." However, people have different appetites and tolerances for uncertainty. For some, the existence of uncertainty is stimulating or perhaps even exhilarating, whereas others can be highly motivated to reduce even the slightest degree of uncertainty. The idea of exhilarating uncertainty could best be illustrated by an individual's decision to participate in an extreme recreational activity such as skydiving, bungee jumping or parasailing. Personal tolerance for uncertainty will determine how willing a person is to invest when the likelihood of the desired outcome is unclear; whether this investment is monetary, relational or otherwise. Babrow (1992) applied this principle to research around uncertainty and probability, stating that uncertainty is at its peak when the probability of the outcome is at or near 50%; while extremely low or extremely high probability reduces uncertainty.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Uncertainty management theory

Start with the simplest possible case. Write down what Uncertainty management theory 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 Uncertainty management theory 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 Uncertainty management theory 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 Uncertainty management theory

In research
Uncertainty management theory 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 Uncertainty management theory 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
Uncertainty management theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Communication theory, Cultural studies, Mindfulness (psychology), so understanding it makes those chapters shorter.
In everyday life
Look for Uncertainty management theory 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 Uncertainty management theory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Uncertainty management theory 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 Uncertainty management theory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Uncertainty management theory in simple terms?

Uncertainty management theory (UMT), developed by Dale Brashers, addresses the concept of uncertainty management. Several theories have been developed in an attempt to define uncertainty, identify its effects and establish strategies for managing it.

Why does Uncertainty management theory 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 Uncertainty management theory?

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 Uncertainty management theory.

Tags

  • Communication theory
  • Cultural studies
  • Mindfulness (psychology)

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