A Psychologist Was Looking at the Effects of an Intervention $\quad$

Multiple Choice

A psychologist was looking at the effects of an intervention on depression levels. Three groups were used: waiting list control, treatment and post-treatment (a group who had had the treatment 6 months before) .
-The SPSS output is below. Based on this output, what should the researcher report? $\quad$$\quad$ Test of Homogeneity of Variances

BDIDIF
$\begin{array}{|c|r|r|r|}\hline\begin{array}{c}\text { Levene } \\\text { Statistic }\end{array} &{\text { df1 }} &{\text { df2 }} & \text { Sig. } \\\hline 4.246 & 2 & 45 & .020\\\hline\end{array}$ $\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$ ANOVA
BDIDIF
$\begin{array}{l|c|r|r|l|l|}\hline & \begin{array}{c}\text { Sum of } \\\text { Squares }\end{array} &{\text { df }} & \text { Mean Square } & {\mathrm{F}} & \text { Sig. } \\\hline \text { Between Groups } & 529.437 & 2 & 264.719 & 5.110 & .010 \\\text { Within Groups } & 2331.135 & 45 & 51.803 & & \\\text { Total } & 2860.572 & 47 & & & \\\hline\end{array}$ $\quad$$\quad$$\quad$$\quad$$\quad$$\quad$$\quad$ Robust Tests of Equality of Means
BDIDIF
$\begin{array}{|l|r|r|r|r|}\hline & \text { Statistic }^{\mathrm{a}} & {\text { df1 }} & \text { df2 } & \text { Sig. } \\\hline \text { Welch } & 4.345 & 2 & 26.436 & .023 \\\text { Brown-Forsythe } & 5.110 & 2 & 35.104 & .011 \\\hline\end{array}$
a. Asymptotically $\mathrm { F }$ distributed.

A) The treatment groups did not have a significant effect on depression levels, F(2, 26.44) = 4.35.
B) The treatment groups had a significant effect on depression levels, F(2, 45) = 5.11.
C) The treatment groups did not have a significant effect on the change in depression levels, F(2, 35.10) = 5.11.
D) The treatment groups had a significant effect on the depression levels, F(2, 26.44) = 4.35.