exam 3 research psych

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Last updated 1:39 AM on 5/1/26
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13 Terms

1
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What are control variables?

Control variables are variables that are kept constant in a research study to prevent them from influencing the outcome.

2
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What is internal validity?

Internal validity refers to the degree to which an experiment accurately establishes a cause-and-effect relationship between variables.

3
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What are order effects?

Order effects occur when the sequence in which participants experience conditions affects their performance.

4
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What is random assignment?

Random assignment is a technique used to randomly allocate participants to different groups in an experiment to minimize group differences.

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What are the different types of research design?

Different types of research design include experimental, correlational, observational, and case study designs.

6
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What is a pretest?

A pretest is an assessment given before an experimental treatment to evaluate the initial status of participants.

7
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What is a posttest?

A posttest is an assessment given after an experimental treatment to evaluate the effects of the treatment.

8
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What are null and alternative hypotheses?

The null hypothesis states there is no effect or relationship; the alternative hypothesis states there is an effect or relationship.

9
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What is a floor effect?

A floor effect occurs when scores cluster at the lower end of the scale, limiting the ability to detect differences.

10
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What is a ceiling effect?

A ceiling effect occurs when scores cluster at the upper end of the scale, limiting the ability to detect differences.

11
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What is factorial design?

Factorial design is an experimental setup that involves two or more independent variables, allowing for the examination of their interactions.

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How do you calculate marginal means?

Marginal means are calculated by averaging the dependent variable scores across levels of an independent variable.

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What does the number of independent variables represent?

The number of independent variables is equal to the number of main effects; for example, 50 main variables equate to 50 main effects.