Bias in experimental research: threats to internal validity Flashcards

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1
Q

Selection

A

This occurs if for some reasonthe groups are not equivalent: apart from the planned IV-related difference, they differ in some other variable.

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2
Q

History

A

This refers to the outside events that happen in the course of the experiment. These outside events become a problem when they can potentially influence the DV or is not constants in both groups.

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3
Q

Maturation

A

In the course of the experiment participants go through natural development processes such as fatigue or simply growth. The DV might be influenced by a confounding variable (e.g aging)

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4
Q

Testing effect

A

The first measurement of the DV may affect the second (and subsequent) measurements: the repetition of of experiments could skew the results because of gained experience.

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5
Q

Instrumentation

A

This effect occurs when the instrument measuring the DV changes slightly. For psychology, this becomes relevant when you consider that an ”instrument of measurement is often a human observer. It could be called the ”researcher maturation”.

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6
Q

Regression to the mean

A

A bias that becomes a concern when the initial score on DV is extreme (either low or high). Extreme scores have a purely statistical tendency to become more average on subsequent trials.

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7
Q

Experimental mortality

A

This refers to the fact that some participants drop out during an experiment, which may become a problem if dropouts are not random.

For example, ethical questions cause more of the experimental groups participants to dropout than from the control group

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8
Q

Demand characteristics

A

This refers to a situation in which participants understand the purpose of the experiment and change their behaviour subconsiously to fit that interpretation: they behave in a way they believe the experimenter expects them to behave in

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9
Q

Experimenter bias

A

This refers to situations in which the researcher unintentionally exerts an influence on the results of the study.

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