Common Problems with
Literature
Critiques
The most common mistake is to spend too much
time summarizing the paper, and not enough time assessing or thinking
about the paper (see the literature critique
point allocation page for grading breakdown). These
should be weighted almost equally.
- Do not just cut
and paste bits of the paper together for your summary – even if you are
changing enough words so that you are not plagiarizing, I’ll be much
more convinced that you understood the paper if you summarize it in
your own words. Try to write the summary
without looking at the paper – then go back to check that you didn’t
leave anything out.
- In the past,
many people made generalized statements like, “the authors didn’t
support their conclusions,” without giving specific examples. You will be much more convincing if you back
up your critique/evaluation of the paper with specific examples. Be persuasive!
- A lot of
students tend to describe “proving” a hypothesis. One
of the main aspects of science that distinguishes it from other types
of knowledge, is that we never really prove our hypotheses – we are
never absolutely certain that they are correct. There
could always be an alternative hypothesis that we haven’t thought of
that better describes our results or observations (e.g., Newtonian
physics describes many observations quite well and was long considered
‘proven,’ but Einstein demonstrated that quantum mechanics supercedes
much of Newtonian physics, despite its predictive power.)
So, we only ‘support’ our hypotheses and disprove alternatives. Once
a hypothesis is supported many, many times, it may be elevated to a
theory – something we are pretty certain about. Still,
the whole key to the advancement of science is that even our most
cherished theories can be subject to being disproved; thus we can avoid
being permanently stymied by an incorrect idea.
- Some people
misuse the word, ‘experiment.’ Strictly
speaking, an experiment requires manipulating/controlling for certain
factors, so that you can adequately separate out different potential
causes and mechanisms. Many people try to
support or disprove hypotheses by examining trends in nature –
basically making observations. These are
more accurately termed ‘studies,’ because they are not truly
experiments – many parameters are varying naturally, and there is no
strict control for potential confounding factors. This
type of study can still be useful, but is not truly an experiment.
Common grammatical errors:
(Style
and grammar matter!)
- Mixing affect
and effect:
In
general, in scientific applications, affect
is a verb – to affect – as in, “Manipulating light affected primary
production,”, and effect is a noun –
the effect – as in, “The effect of manipulating light was a change in
primary
production.”
- “It’s” means “it
is” (or “it has”)! “Its” is its own
possessive.
- Their/there –
although some people didn’t seem realize it in their
papers, there is a difference between these words!
- ‘Data’ is a
plural word
- Less/fewer – use
fewer if you can actually count the objects (e.g., 10 items or fewer in
the supermarket line.) Use less if
something isn’t countable (e.g., there is less air in the supermarket
than outside).
- Latin names --
Underline or italicize genus/species names. Capitalize
the genus name. For example, Spartina
alterniflora.
- Some people seem
to capitalize random Nouns J For example, “the Authors…” or “Sampling was
performed in a Boat.” We speak English,
not German (except for ‘Aufwuchs,’ maybe) – common nouns (non-names)
should not be capitalized.