Chapter 7 - Experimental Designs I: Single Factor Design Flashcards

1
Q

Single-Factor Designs

A

An experimental design with a single independent variable.

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2
Q

Independent Group Designs

A

A between‐subjects design that uses a manipulated independent variable and has at least two groups of participants to which subjects are randomly assigned.

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3
Q

Matched Group Designs

A

A between‐subjects design that uses a manipulated independent variable and has at least two groups of participants; subjects are matched on some variable assumed to affect the outcome before being randomly assigned to the groups.

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4
Q

Ex Post Facto Design (NonEquivalent Groups Design)

A

A between‐subjects design with at least two groups of participants that uses a subject variable or that creates nonequivalent groups.

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5
Q

Repeated Measures Design

A

Another name for a within‐subjects design; participants are tested in each of the experiment’s conditions.

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6
Q

Inter-rater Reliability

A

The degree of agreement between two or more observers of the same event.

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7
Q

Single-Factor Multilevel Designs

A

An experimental design with a single independent variable and more than two levels of the independent variable.

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8
Q

Non-Linear Effects

A

An outcome that does not form a straight line when graphed; can occur only when the independent variable has more than two levels.

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9
Q

Systematic Variance

A

Variability that can be attributed to an identifiable source, either the systematic variation of the independent variable or the uncontrolled variation of a confound.

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10
Q

Error Variance

A

Nonsystematic variability in a set of scores due to random factors or individual differences.

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11
Q

Homogeneity of Variance

A

One of the conditions that should be in effect in order to perform parametric inferential tests such as a t-test or ANOVA; refers to the fact that variability among all the conditions of a study ought to be similar.

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12
Q

Independent T-test

A

An inferential statistical analysis used when comparing two samples of data in either an independent groups design or a nonequivalent groups design.

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13
Q

ANOVA

A

Short for ANalysis Of VAriance, the most common inferential statistical tool for analyzing the results of experiments when dependent variables are measured on interval or ratio scales.

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14
Q

ANOVA Source Table

A

A standardized method for displaying the results of an analysis of variance; includes sources of variance, sums of squares, degrees of freedom, mean squares (variance), F ratios, and probability values.

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15
Q

Placebo

A

In medicine, an inert substance said to have medicinal effect (from Latin meaning “I shall please”); in research, a condition in which subjects believe a treatment is in effect, but it is not.

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16
Q

Placebo Control Groups

A

Control group in which some participants believe they are receiving the experimental treatment, but they are not.

17
Q

Waitlist Control Groups

A

Control group in which participants aren’t yet receiving treatment but will eventually; used to ensure that those in the experimental and control groups are similar (e.g., all seeking treatment for the same problem).

18
Q

Yoked Control Groups

A

Control group in which the treatment given a member of the control group is matched exactly with the treatment given a member of the experimental group.