Psychology Research Methods

What distinguishes a field experiment from a lab experiment?

• It is done in a natural setting with less control over variables.

• It manipulates both IV and DV under controlled conditions.

• Participants are randomly allocated to conditions.

• It is the result of a naturally occurring event.

In a true experiment, what is a key feature regarding participants?

• Participants are randomly allocated to conditions.

• No IV is manipulated.

• The experiment is done in a natural setting.

• The experiment is the result of a naturally occurring event.

What is the dependent variable in an experiment?

• The variable that is manipulated by the researcher

• The variable that is measured by the researcher

• The variable that is kept constant

• The procedure followed by all participants

In a true experiment, what is the purpose of random allocation to conditions?

• To manipulate the independent variable

• To avoid sampling bias

• To measure the dependent variable

• To keep variables constant

If a study gives all participants the same instructions and conditions, which term best describes this approach?

• Random allocation

• Controlled variables

• Standardized procedure

• Dependent variable

Why might opportunity sampling not be representative of a target population?

• The groupings tend to be relatively homogeneous

• The sample is always too large

• The sample is always too expensive

• The sample is always too random

What is a random sample?

• A sample in which everyone in the target population has the same probability of being chosen.

• A sample chosen only from volunteers.

• A sample selected based on convenience.

• A sample where only experts are chosen.

Which of the following is a limitation of random sampling?

• It is impossible if the target population is too large.

• It always produces a biased sample.

• It only works for homogeneous populations.

• It guarantees perfect representation.

If a teacher puts all students' names in a hat and draws one, replacing the name each time, what is being ensured?

• Everyone has the same probability of being chosen.

• Only the first name has a chance to be chosen.

• The process is biased.

• Only the last name is chosen.

Why might random sampling still generate a biased sample?

• If the target population is heterogeneous.

• If the sample size is too small.

• If only volunteers are chosen.

• If the sampling is done quickly.