Stress and Symptoms This research tested the hypotheses that

Results of the Test of Hypothesis 1

The correlation coefficient describing the relationship between the level of stress experienced and the number of physical symptoms experienced was r = .5255, statistically significant at p<0001. The null could not be rejected, and by inference the hypothesis was supported.

The correlation coefficient describing the relationship between the level of stress experienced and the number of behavioral symptoms experienced was r = .4840, statistically significant at p<0001. The null could not be rejected, and by inference the hypothesis was supported.

The correlation coefficient describing the relationship between the level of stress experienced and the number of emotional symptoms experienced was r = .3961, statistically significant at p<0001. The null could not be rejected, and by inference the hypothesis was supported.

The correlation coefficient describing the relationship between the level of stress experienced and the number of cognitive symptoms exper

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egression analysis. Purpose A factor analysis was performed to determine the characteristics, traits, behaviors, perceptions, and events that best describe or explain a handicapping condition for a child. Orthogonal rotation was the procedure applied in this factor analysis. A total of eight characteristics, traits, behaviors, perceptions, and events were assessed. These items were (1) age when handicap condition was first observed, (2) age when assistance was first sought for this condition, (3) care giver rating of the quality of information received from the family of the handicapped child, (4) age when child first received instruction from care givers, (5) rating of the appropriateness of instruction received from care givers, (6) overall satisfaction by care givers with the level and quality of parental involvement, (7) age at which the handicapped child was first tested, and (8) rating of the satisfaction by care givers with the outcome of the testing. Initial Correlation Analysis and Factor Identification The initial correlation analysis yielded product moment coefficients meeting the inclusion criterion (>p.4) for each of the eight variables in relation to three of the other variables in each instance. The acc
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