Chapter Nine: Multigroup Design Flashcards

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1
Q

Chi-Square Test of Independence

A

A statistical test in which both variables are categorical. This test generally examines if the distribution of participants across categories is different from what would happen if there were no difference between the groups

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2
Q

Confound

A

A variable that the researcher unintentionally varies along with the manipulation

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3
Q

Empty Control Group

A

A group that does not receive any form of the treatment and just completes the dependent variable

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4
Q

Exploratory Analyses

A

Statistical tests that examine potential differences that were not anticipated or predicted prior to conducting the study

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5
Q

Hypothesis-Guessing

A

When a participant in a study actively attempts to identify the purpose of the research

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6
Q

Methodological Pluralism

A

The use of multiple methods or strategies to answer a research question

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7
Q

Multigroup Design

A

An experimental design with three or more groups

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8
Q

Nonlinear (or functional) relationships

A

Any association between variables that the use of just two comparison groups cannot uncover. These relationships, often identified on a graph as a curved or curvilinear line, help provide us with a clearer picture of how variables relate to one another

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9
Q

One-Way Analysis of Variance (One-Way ANOVA)

A

A statistical test that determines whether responses from the different conditions are essentially the same or whether the responses from at least one of the conditions differ from the others

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10
Q

Placebo Group

A

A group where participants believe they are getting the treatment, but in reality they are not

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11
Q

Planned Contrasts

A

Statistical tests that examine comparisons between groups that were predicted ahead of time. These test have the added benefit of allowing the comparison of combined conditions to other conditions in the study

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12
Q

Post-Hoc Tests

A

Statistical tests that examine all possible combinations of conditions in a way that statistically accounts for the fact that not all of them were predicted ahead of time

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13
Q

Power

A

A study’s ability to find differences between groups when there is a real difference (i.e., when the null hypothesis is false); the probability that a study will yield significant results

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