  We present Swift/Ultraviolet Optical Telescope (UVOT) integrated light
photometry of the Spitzer Infrared Nearby Galaxies Survey (SINGS) and the Key
Insights on Nearby Galaxies: A Far-Infrared Survey with Herschel (KINGFISH)
samples of nearby galaxies. Combining the Swift/UVOT data with archival
photometry, we investigate a variety of dust attenuation curves derived using
MCSED, a flexible spectral energy distribution fitting code. We fit the
panchromatic data using three different star formation history (SFH)
parameterizations: a decaying exponential, a double power law, and a piecewise
function with breaks at physically motivated ages. We find that the average
attenuation law of the sample changes slightly based on the SFH assumed.
Specifically, the exponential SFH leads to the shallowest attenuation curves.
Using simulated data, we also find the exponential SFH fails to outperform the
more complex SFHs. Finally, we find a systematic offset in the derived bump
strength between SED fits with and without UVOT data, where the inclusion of
UVOT data leads to smaller bump strengths, highlighting the importance of the
UVOT data. This discrepancy is not seen in fits to mock photometry.
Understanding dust attenuation in the local universe is key to understanding
high redshift objects where rest-frame far-infrared data is unavailable.
