1. Keep them
simple.
2. Do not cram
too much on one sheet.
3. Make them
large and dark enough to see them.
4. If you use
more than one sheet, number the
sheets.
5. Label your
figures and tables. Cite sources.
6. Summarize the
important points in the graphic.
–
Explain what the visual aid means.
7. Use visual
aids to emphasize data, to emphasize
main points.
 |
–Do
not place large amounts of text on the screen. |
 |
–Do
not plan to read the oral report from the text
on the screen. |
8. If you use
PowerPoint, use bullets and lists
 |
–Do
not put large amounts of text on the screen. |
 |
–Bad
example:
The
Rocky Mountain bighorn sheep (Ovis Canadensis) population in the Big Creek
drainage of the Frank Church-River of No Return Wilderness in Central
Idaho experienced a sudden and dramatic population decline from 1988 to
1990 as a result of a Pasteurella spp. related die-off. Extensive
monitoring of the population during that period provided information on
lamb production and survival during the die-off phase of a Pasturella
die-off. After ten years of minimal monitoring a lamb production, a
survival survey was conducted on the Big Creek population during the
summer of 2001. The results of this survey established the average number
of lambs:100 ewes for three different lambing areas across three different
time periods. These were compared to similar data collected during the
summers of 1989 and 1990. Chi-square analysis of the data showed
significant differences between total die-off and 2001 ratios (p <.001)
but not between lambing areas in each of the die-off and 2001 periods (p
>1, p >1, respectively). Results show a high survival ratio through the
beginning of August 2001(avg. 86:100) compared with a significantly lower
ratio in August 1989 (avg. 19:100) and August 1990 (avg. 12:100). This
suggests that the 2001 Big Creek bighorn sheep population is not
experiencing late-summer Pasteurella mortality.
Rather, mortality is occurring at a different time of the year and
continued monitoring is needed to make an accurate determination of the
time period and cause. |