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Narrative Qualities

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Narrative Qualities of Bad Dreams and Nightmares Construct Validity. This research design conceptually operationalized constructs through defining dream types, based on past research. Dream content was operationalized through the DDL, providing a tally of dream types, and written narratives of disturbed dreams. The DDL was based on past research which, due to its conceptual nature, provided an acceptable foundation of validity. The LIWC, was a computer construct which identified words related to predictor variables. As the foundation for all prospective analysis, existing face validity is insufficient, and the provision of convergent or discriminant validity and associated correlations is desirable. The HVC operationalized …show more content…

The remaining variables had simultaneous manipulators, as outlined forthwith. Negative and positive emotion variables were also operationalized through a 9-point Likert scale with face validity, measuring the degree of emotionality linked to each dream. The severity of aggression variable was operationalized by converting physical and non-physical aggression HVC categories into an ordinal scale. Face validity notwithstanding, correlation with a second measure and provision of related coefficients is desirable. The intensity of aggression variable was measured through a researcher designed 9-point Likert scale, having face validity. Statistical validity. There was more negative emotional content, t(283) = 2.19, p < .03, and positive emotional content, t(347) = 2.15, p < .03, in bad dream narratives, as indicated by t-tests. A standardized measure of effect was independently calculated. Although statistically significant, the effect sizes, (r = 0.13 and r = 0.11, respectively), indicate the difference in emotionality between dream types is very small and may not be practically …show more content…

Each of these findings reports a high level of statistical significance, indicating that it is unlikely the described differences between bad dream types is due to chance; yet, the size of difference remains unclear without a measure of effect. This research is well powered with sample size ranging from 635 to 638, raising the question as to how much of the statistical significance is related to the large sample. Without a measure of effect the answer is not forthcoming, and all practical significance is

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