Questions Refer to Table 12-4 SOURCE TABLE -Refer to Table 12-2

question 115

Multiple Choice

Questions refer to Table 12-4. A researcher is interested in determining just how much negative interactions with strangers affect our sense of well-being. In this example, participants completed a scale of positive affect. Later, either a pleasant or unpleasant confederate is randomly assigned to interact with each participant. At the end of the experiment, participants’ positive affect is again assessed. Positive affect scores could range from 1 (low positive affect) to 15 (high positive affect) .
Table 12-4
TABLE OF MEANS:

$\begin{array}{c}\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\text { TIME POSITIVE AFFECT ASSESSED }\\\begin{array} { l l c c r } & & \text { BEFORE EXPERIMENT } & \text { AFTER EXPERIMENT } & \text { ROW M } \\ \text { Confederate } & \text { Pleasant } & 11.10 & 13.30 & 12.20 \\ \text { Demeanor } & \text { Unpleasant } & 10.60 & 3.50 & 7.05 \\ & \text { COLUMN M } & 10.85 & 8.40 & \\ & & & \text { Pop. } \mathrm { M } = 9.63 \end{array} \end{array}$

SOURCE TABLE


$\begin{array}{lcccccc}\text { SOURCE } & \text { SS } & \text { df } & \text { MS } & \text { F } & p \\\text { Between subjects effects } & & & & & & \\\quad \text { Confederate Demeanor } & 265.23 & 1 & 3705.63 & 420.43 & .000 \\\quad \text { Error } & 158.65 & 18 & 8.81 & & \\& & & & & \\\text { Within subjects effects } & & & & & & \\\quad \text { Time } & 60.03 & 1 & 60.03 & 18.14 & .000 \\\text { Confederate } x \text { Time } & 216.23 & 1 & 216.23 & 65.69 & .000\\\\\text { Error }& 59.25 & 18 & 3.29\end{array}$
-Refer to Table 12-2. This example represents a

• A) one-way ANOVA for independent samples.
• B) two-way ANOVA for independent samples.
• C) two-way ANOVA for correlated samples.
• D) two-way ANOVA for mixed samples.

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Definitions:

Groups Examined

Refers to the specific collections of individuals, objects, or data points that are being studied or analyzed in research.

First Grouping Factor

The primary variable used to categorize or group data points in an analysis or experiment.

4 × 3 Factorial Design

An experimental design method that involves two independent variables, where one has 4 levels and the other has 3 levels, leading to 12 different experimental conditions.

Levels

Distinct values or categories of a categorical variable.