A psychologist was interested in gauging the success of a mood manipulation during one of her experiments. She had three groups of participants who underwent different types of mood induction: disgust mood induction, negative mood induction and positive mood induction. After the mood induction, participants were asked to endorse nine statements relating to their mood (on a 5-point Likert scale from 1 = disagree to 5 = agree).
- A discriminant function analysis was performed on the data. The output is below. Which statement best sums up the results?

\begin{array}{l}\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\text { Wilks' Lambda }\\\begin{array} { | l | r | r | r | r | } \hline \text { Test of Function(s) } & \begin{array} { c } \text { Wilks' } \\\text { Lambda }\end{array} & \text { Chi-square } & \text { df } & \text { Sig. } \\\hline 1 \text { through 2 } & .615 & 30.128 & 18 & .036 \\2 & .901 & 6.452 & 8 & .597 \\\hline\end{array}\end{array}

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Eigenvalues

\begin{array}{|l|r|r|r|r|}\hline \text { Function } & \text { Eigenvalue } & \% \text { of Variance } & \text { Cumulative } \% & \begin{array}{c}\text { Canonical } \\\text { Correlation }\end{array} \\\hline 1 & .465^{\mathrm{a}} & 80.9 & 80.9 & .563 \\2 & .110^{\mathrm{a}} & 19.1 & 100.0 & .314 \\\hline\end{array}

a. First 2 canonical discriminant functions were used in the analysis.
$A psychologist was interested in gauging the success of a mood manipulation during one of her experiments. She had three groups of participants who underwent different types of mood induction: disgust mood induction, negative mood induction and positive mood induction. After the mood induction, participants were asked to endorse nine statements relating to their mood (on a 5-point Likert scale from 1 = disagree to 5 = agree). - A discriminant function analysis was performed on the data. The output is below. Which statement best sums up the results? \begin{array}{l} \quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\text { Wilks' Lambda }\\ \begin{array} { | l | r | r | r | r | } \hline \text { Test of Function(s) } & \begin{array} { c } \text { Wilks' } \\ \text { Lambda } \end{array} & \text { Chi-square } & \text { df } & \text { Sig. } \\ \hline 1 \text { through 2 } & .615 & 30.128 & 18 & .036 \\ 2 & .901 & 6.452 & 8 & .597 \\ \hline \end{array} \end{array} \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad Eigenvalues \begin{array}{|l|r|r|r|r|} \hline \text { Function } & \text { Eigenvalue } & \% \text { of Variance } & \text { Cumulative } \% & \begin{array}{c} \text { Canonical } \\ \text { Correlation } \end{array} \\ \hline 1 & .465^{\mathrm{a}} & 80.9 & 80.9 & .563 \\ 2 & .110^{\mathrm{a}} & 19.1 & 100.0 & .314 \\ \hline \end{array} a. First 2 canonical discriminant functions were used in the analysis. A)There were two significant underlying functions that differentiated the mood induction groups: one seems to reflect disgust, whereas the other reflects depression. B)There was one significant underlying function that differentiates the mood induction groups: it seems to represent disgust. C)There were two significant underlying functions that differentiated the mood induction groups, but it's unclear what these functions represent. D)There were no significant underlying functions that could discriminate the mood induction groups.$ $A psychologist was interested in gauging the success of a mood manipulation during one of her experiments. She had three groups of participants who underwent different types of mood induction: disgust mood induction, negative mood induction and positive mood induction. After the mood induction, participants were asked to endorse nine statements relating to their mood (on a 5-point Likert scale from 1 = disagree to 5 = agree). - A discriminant function analysis was performed on the data. The output is below. Which statement best sums up the results? \begin{array}{l} \quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\quad\text { Wilks' Lambda }\\ \begin{array} { | l | r | r | r | r | } \hline \text { Test of Function(s) } & \begin{array} { c } \text { Wilks' } \\ \text { Lambda } \end{array} & \text { Chi-square } & \text { df } & \text { Sig. } \\ \hline 1 \text { through 2 } & .615 & 30.128 & 18 & .036 \\ 2 & .901 & 6.452 & 8 & .597 \\ \hline \end{array} \end{array} \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad Eigenvalues \begin{array}{|l|r|r|r|r|} \hline \text { Function } & \text { Eigenvalue } & \% \text { of Variance } & \text { Cumulative } \% & \begin{array}{c} \text { Canonical } \\ \text { Correlation } \end{array} \\ \hline 1 & .465^{\mathrm{a}} & 80.9 & 80.9 & .563 \\ 2 & .110^{\mathrm{a}} & 19.1 & 100.0 & .314 \\ \hline \end{array} a. First 2 canonical discriminant functions were used in the analysis. A)There were two significant underlying functions that differentiated the mood induction groups: one seems to reflect disgust, whereas the other reflects depression. B)There was one significant underlying function that differentiates the mood induction groups: it seems to represent disgust. C)There were two significant underlying functions that differentiated the mood induction groups, but it's unclear what these functions represent. D)There were no significant underlying functions that could discriminate the mood induction groups.$
A)There were two significant underlying functions that differentiated the mood induction groups: one seems to reflect disgust, whereas the other reflects depression.
B)There was one significant underlying function that differentiates the mood induction groups: it seems to represent disgust.
C)There were two significant underlying functions that differentiated the mood induction groups, but it's unclear what these functions represent.
D)There were no significant underlying functions that could discriminate the mood induction groups.

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