Threats
Confounds
Avoiding Confouds
Designs
You say the Null is True?
100

extremely low or extremely high performance at Time 1 is likely to be less extreme at Time 2

Regression threat

100

Free points

you're welcome

100

How are maturation threats prevented?


Add a control group

100

participants know which group they’re in but observers don’t.

masked study

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

A change in behavior that emerges spontaneously over time.

Maturation threats

200

when people receive a treatment and improve, but only because they believe they are receiving a valid or effective treatment.

Placebo effect

200

How are history threats prevented?

Use a pretest/posttest design with a control group

200

neither the participants nor the experimenters working with the participants know who is in the treatment group and who is in the control group

double-blind study

200

(Error Variance) too much unsystematic variability within groups.

Noise

300

A reduction in participant numbers from pretest to posttest.

Attrition threat

300

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

Observer bias

300

How can attrition threats be prevented?

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

300

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

300

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

Ceiling effect

400

when some external or “historical” event affects most members of the treatment group at the same time as the treatment.

History threat

400

Occurs when a measuring instrument changes over time.

Instrumentation threat (aka instrumentation decay)

400

How can instrumentation threats be prevented?

–Use a posttest-only design

–counterbalance the order of the pretest and posttest forms

400

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

400

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

Floor effect

500

A type of order effect in which there is a change in participants as a result of experiencing the DV (the test) more than once.

Testing threat

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

How can testing threats be prevented?

Use a Posttest design (no pretest)

Use alternative forms of the test at pretest and posttest

500

second DV included in a study to make sure the IV manipulation worked.

Manipulation check

500

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

Measurement error

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