Chapter 6: Basics of Experimentation Flashcards

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1
Q

This refers to the stimulus variable that the experimenter intentionally manipulates.

A

Independent variable.

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2
Q

This refers to the response variable; the behavior that we expect to change because of the experimental treatment.

A

Dependent variable.

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3
Q

Other terms for this are: treatments, manipulations, interventions, conditions.

A

Independent variables.

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4
Q

Other terms for this are: measures, effects, outcomes, results.

A

Dependent variables.

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5
Q

This specifies the precise meaning of a variable within an experiment. It tells others how to carry out an experiment.

Example: “anxiety” in an experiment could be a test score, or withdrawal from a situation.

A

Operational definition.

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6
Q

This describes exactly what was done to create the various treatment conditions of the experiment.

A

Experimental operational definitions.

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7
Q

This describes exactly what procedures we follow to assess the impact of different treatment conditions.

A

Measured operational definitions.

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8
Q

This refers to consistency and dependability. Good operational definitions need to have this quality.

A

Reliability.

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9
Q

This type of reliability is when different observers take measurements of the same responses and their agreement between their measurements are taken.

A

Interrater reliability.

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10
Q

This type of reliability is when scores of people who have been measured twice with the same instrument are compared.

A

Test-retest reliability.

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11
Q

This is an example of a test that has excellent test-retest reliability.

A

Wechsler Adult Intelligence Scale (WAIS-III).

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12
Q

This type of reliability refers to the extent to which different parts of a questionnaire, test, or other instruments designed to assess the same variable attain consistent results.

A

Inter-item reliability.

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13
Q

This refers to factors that are not the focus of the experiment but can influence the findings.

A

Extraneous variable.

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14
Q

This refers to any variable that has the POTENTIAL to influence the dependent variable (DV) in an experiment and bias the results.

A

Extraneous variable.

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15
Q

A variable that DOES have an unwanted effect on the dependent variable (DV) in an experiment. The results become biased as it cannot be determined whether results are caused by the independent variable (IV) or this kind of variable.

A

Confounding variable.

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