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We do not recapitulate the detailed discussions provided elsewhere [ 3], but give the main results and some additional descriptive interpretations.
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Qualitative descriptive interpretation analysis [ 22] extends beyond description to make practical use of the data.
The qualitative interpretive research approach used semi-structured interviews to develop the descriptive interpretation of the intergenerational playgroup experience.
In general, public justification theorists all feel the pull of the normative and the descriptive, though some are more inclined toward a purely normative interpretation (Quong 2011) and others toward a more descriptive interpretation (arguably Rawls 2005).
The dual theme of these works involved both a descriptive interpretation of the perversity, malice and imperfectability of human nature, as well as an ontological or meta-ethical thesis about the need for a non-natural, that is, religious or rational-intuitionist basis and source for moral imperatives in human society and history.
Exploratory statistical data analysis was performed with descriptive interpretation of intra-individual comparisons using simple univariate statistics.
ID methodology was selected for its emphasis on pattern recognition and its aim to provide descriptive interpretation across cases for complex experiential health care questions [ 19].
No formal adjustment was made for multiple comparisons and, therefore, the 99% CIs have descriptive interpretation rather than being used for hypothesis testing.
No statistical inference was planned or applied to these data, which are presented in summary form for descriptive interpretation only within the context of a qualitative and exploratory study.
Exploratory statistical data analysis was performed with descriptive interpretation of intra-individual comparisons using simple univariate statistics (mean, standard deviation, median, minimum, maximum, differences to baseline; paired t test percentages and confidence intervals if applicable).
This type of descriptive interpretation of time series trends is often misleading because of the potential spuriousness of a correlation between aggregated variables trending over time, as well as the lack of a counterfactual comparison in the analysis (e.g., poverty in the absence of tree plantation expansion).
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