Chapter 1 Flashcards
illusory correlation (Intuition and Anecdote heading)
a cognitive bias that occurs when we focus
on two events that stand out and occur together. Although this is a natural thing for us to do, it is not scientific. A scientific approach requires much more
evidence before conclusions can be drawn.
The scientific approach rejects the notion that one
can accept on faith the statements of any authority (Authority heading)
more evidence is needed before we can draw
scientific conclusions.
skepticism
ideas must be evaluated on the basis of careful logic and results from scientific investigations
The fundamental characteristic of the scientific method is
empiricism
empiricism
All of these:
1) the idea that knowledge comes from observations. Data are collected that form the basis of conclusions about the nature of the world. The scientific method embodies a number of rules for collecting and evaluating data
2) Use of objective, verifiable observations to answer questions and draw conclusions.
Goodstein’s evolved theory of science
All of these:
1) Data play a central role
2) Scientists are not alone
3) Science is adversarial
4) Scientific evidence is peer reviewed
Data play a central role
For scientists, knowledge is primarily based on observations. Scientists
enthusiastically search for observations that will verify or reject their ideas about the world. They
develop theories, argue that existing data support their theories, and conduct research that can increase
our confidence that the theories are correct. Observations can be criticized, alternatives can be
suggested, and data collection methods can be called into question. But in each of these cases, the role
of data is central and fundamental. Scientists have a “show me, don’t tell me” attitude.
falsifiability
The principle that a good scientific idea or theory should be capable of being shown to be false when tested using scientific methods.
peer review
The process of judging the scientific merit of research through review by other scientists with the expertise to evaluate the research.
Pseudoscience
The use of seemingly scientific terms and demonstrations to substantiate claims that have no basis in scientific research.
The boundaries separating science, nonscience, and pseudoscience are much fuzzier and more permeable than most scientists would have us believe” Here are a few things to look for when evaluating claims:
All of these:
1) Claims are untestable and therefore cannot be refuted.
2) Claims rely on imprecise, biased, or vague language.
3) Evidence is based on anecdotes and testimonials rather than scientific data.
4) Evidence is from experts with only vague qualifications who provide support for the claim without sound scientific evidence.
5) Only confirmatory evidence is presented; conflicting evidence is ignored.
6) References to scientific evidence lack information on the methods that would allow independent
verification.
General rules to follow when reading Internet sites are
All of these:
1) be highly skeptical of scientific assertions that are supported by only vague or improbable evidence
2) take the time to do an Internet search for supportive evidence. At www.snopes.com and www.truthorfiction.com, you can check many of the
claims that are on the Internet.
Scientific research on behavior has four general goals:
1) to describe behavior
2) to predict behavior
3) to determine the causes of behavior
4) to understand or explain behavior.
The scientist begins with careful observation, because the first goal of science is to describe behavior—which
can be something directly observable (such as running speed, eye gaze, or loudness of laughter) or
something less observable (such as self-reports of perceptions of attractiveness).
A second goal of behavioral science is to predict behavior. Once it has been observed with some regularity that two events are related to one another (e.g., that greater attractiveness is associated with more lenient sentencing), it becomes possible to
make predictions. We can anticipate events. If you read about an upcoming trial of a very attractive defendant, you can predict that the person will likely receive a lenient sentence. Further, the ability to make accurate predictions can help us make better decisions.