A principal components analysis was done on these variables. Here are some of the results. How many components/factors does this suggest might be useful? It may help to make a scree plot to answer this question.
Importance of components:
Comp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6
Standard deviation 9.0945941 7.3488015 5.7974591 4.65682297 4.62559118 2.03515823
Proportion of Variance 0.3801942 0.2482401 0.1544949 0.09968236 0.09834977 0.01903861
Cumulative Proportion 0.3801942 0.6284343 0.7829293 0.88261162 0.98096139 1.00000000
a. Definitely one factor. The first component accounts for the largest proportion of variance.
b. Definitely two factors. There are six components, and 1/6 is 17%, and only components
account for more than this (so only two have an eigen value greater than 1).
c. Definitely three factors because the elbow in the screen plot is after three components.
d. It is not clear from this how many factors there are. The researcher should try EFA with several numbers of factors.
d. It is not clear from this how many factors there are. The researcher should try EFA with several numbers of factors.
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Most forms of abnormal behavior are thought to be caused by
A. genetics. B. learning. C. a single cause. D. multiple factors.
Which of the following describes the function of a confidence interval?
A) ?It uses a sample mean to estimate the corresponding population mean. B) ?It uses a population mean to predict a sample mean. C) ?It uses a level of confidence to estimate a sample mean. D) ?It uses the sample mean to determine a level of confidence.