| R1. What was seen |
-
-
Geographic distribution of information (n=10)
-
-
Color (n=8)
-
-
“where I live” [map location] (n=7),
-
-
Geographic trends (n=7)
-
-
Reported seeing meaning (n=6) e.g. seeing
•“areas where it is unsafe”.
|
|
-
-
Number of samples exceeding 10 ppb (n=10)
-
-
Alphabetical township names (n=8)
-
-
Percentage of samples over 10 ppb (n=7)
-
-
Column headings (n=7)
-
-
“where I live” [based on township name] (n=3)
|
| R2. Illustrative quotes |
“I'm assuming that whatever I'm looking for is the dark
red. The darker the red, the more toxic.” “I'm a little confused. But generally, I would look at this and
say based on the color, this is a bad thing. You know what? The color helps me figure this out more
than the numbers do. So even if I didn't get the numbers, I would think I was getting it by
the color.“
|
“It looks busy when you first look at it, then when you take it in,
it’s busy because it’s giving you the information you wanted. You wanted to know
where these tests were taking place.” “it would take some time [to read], while here [township map] it just
jumped right out at me.” ”In this version of the map it looks to me like there's a much
greater number of wells that tested ok, frankly. That's the effect of the way these dots
are.”
|
“That one with all the dots on it made me a little nervous saying oh
man! Look at all these wells with all the problems, so maybe it was the visual.… But with
this one [table] it’s like, ok, I'm fine, and I don't like numbers anyway so
I wouldn't study it much.” “The [township] map made it seem serious, the red, but here 8 of 23, oh,
that's not so serious, but it still is 35%.”
|
| R3. Trends and causal explanations |
Township patterns as county trends:
|
Dot patterns as local trends: • “like
the red line through here I would say there's a water crevice or something in that
area”
|
Numerical trend: townships with more testing had higher rates
of exceedances. (n=1) |
| R4. Meaning of uncertainty |
Comments show multiple interpretations: • “I
wonder what that's all about - only two private wells in Blue Mounds?”
• “I'm wondering why the four [townships] have insufficient data -
there shouldn't be bad access [to water] there.” •
“I'd think they're not finding the substance. It isn't that
they haven't looked enough or asked enough, it’s that it’s not
there” • “Um, just that whatever testing was done, was
insufficient statistically”
|
“And it’s nice here for the townships that said insufficient
data, you can really see why; because there weren't many tests done, and I would say ok,
well why not? Why isn't there any sampling…what were the choices in terms of why the
data were collected where it was?”
|
Easy to understand the meaning of insufficient
data because this term was in the percent column and exceedances per sample size was
provided in an adjacent column. |
| R5. Format preference |
3 of 13 participants chose the township map:
|
7 of 13 participants chose the dot map: “Definitely the one with the dots… it gives me a little more
idea of the incidence … you can track the problems. It tells me that the whole township is
not an issue. I think it’s easier to understand, and it also tells me, you know, I would say
that's a pretty fair sampling in Springfield.”
|
3 of 13 preferred the table: •“Not that one
[Township], even though I like the color on there it didn't give me as much information.
Isn't that interesting, I think I'd prefer that one. I can just go straight to the
table and it’s clear. This one [dot] I kind of had to study for a bit to figure out what was
going on.” •“The other thing you lose here is the
distribution.”
|
