Confounds
Designs
Avoiding Confounds
Factorial Interactions
You Say the Null is True?
100

A reduction in participant numbers from pretest to posttest.

Attrition threat

100

one group of participants is measured on a pretest, exposed to a treatment, intervention, or change, and then measured on a posttest.

One-group pretest/posttest design

100

How are maturation threats prevented?

Add a control group

100

An experiment in which there are two or more IVs

Factorial design

100

The independent variable did not affect the dependent variable, so there is no significant covariance between the IV and the DV.

Null effect

200

When an extreme finding is caused by a combination of random factors that are unlikely to happen in the same combination again, so the extreme finding becomes less extreme over time

Regression threat

200

Researchers stagger their interventions across situations, times, or contexts.

Multiple-baseline designs

200

Daily Double!

How are history threats avoided?

200

An _______ effect occurs when the effect of one IV depends on the level of another IV.

interaction

200

(Error Variance) too much unsystematic variability within groups.

Noise

300

Bias caused by researchers’ expectations influencing how they interpret the results.

Observer bias

300

One IV is manipulated as independent-groups and the other is manipulated within-groups.

Mixed Factorial Design

300

How can attrition threats be prevented?

When participants drop out of a study, remove their scores from the pretest average.

300

The IVs in a factorial design are also called

factors

300

The participants’ scores on the DV are clustered at the high end

Ceiling effect

400

A change in behavior that emerges spontaneously over time.

Maturation threats

400

Participants are not randomly assigned to groups and are tested only once, after exposure to either one level of the independent variable or the other.

nonequivalent control group posttest-only design

400

How can instrumentation threats be prevented?

–Use a posttest-only design

–counterbalance the order of the pretest and posttest forms

400

This is the overall effect of one IV on the DV, averaging over levels of the other IV, and it identifies a simple difference.

Main effect

400

The participants’ scores on the DV are clustered at the low end.

Floor effect

500

What is the key difference between Instrumentation threats versus Testing threats

Instrumentation threats are when the instruments change over time. Testing threats are when participants change over time.

500

a special comparison group is used that is receiving the placebo therapy or placebo medication, but neither the people working with the participants nor the participants know who is in which group

Double-blind placebo control study

500

How can testing threats be prevented?

Use a Posttest design (no pretest)

Use alternative forms of the test at pretest and posttest

500

Are the differences in differences different?

Three-way interactions

500

Any factor that can inflate or deflate a person’s true score on the DV.

Measurement error