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When comparing similar results across different groups or conditions in a research report, it is crucial to use parallel construction. This writing technique involves formatting comparable statistical findings using the exact same sentence structure. Presenting data with parallel phrasing makes it significantly easier for the reader to quickly contrast the numbers and understand the overall pattern without getting confused by varying grammatical structures.

Parallel Construction in Reporting Results

To illustrate parallel construction, consider the clear, parallel phrasing: 'The treatment group had a mean of $$23.40$$ ($$SD = 9.33$$), while the control group had a mean of $$20.87$$ ($$SD = 8.45$$).' This consistent formatting allows readers to easily compare the means and standard deviations. In contrast, a nonparallel and confusing alternative would be: 'The treatment group had a mean of $$23.40$$ ($$SD = 9.33$$), while $$20.87$$ was the mean of the control group, which had a standard deviation of $$8.45$$.'

Example of Parallel Construction in Reporting Results

What is the primary reason for using parallel construction when reporting comparable statistical findings across different conditions in a research report?

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