As interesting things come in over the transom, I put them in a pile--right next to the transom--marked "to read."
At this point, the pile is taller than the transom itself! I'm not joking!
And just this second I have descended the ladder after placing this newly arrived item on top of the pile:
Trust in science and scientists can greatly influence consideration of scientific developments and activities. Yet, trust is a nebulous construct based on emotions, knowledge, beliefs, and relationships. As we explored the literature regarding trust in science and scientists we discovered that no instruments were available to assess the construct, and therefore, we developed one. Using a process of data collection from science faculty members and undergraduate students, field testing, expert feedback, and an iterative process of design, we developed, validated, and established the reliability of the Trust in Science and Scientist Inventory. Our 21-item instrument has a reliability of Cronbach's alpha of .86, and we have successfully field-tested it with a range of undergraduate college students. We discuss implications and possible applications of the instrument, and include it in the appendix.
At the present rate, I should be able to read it by April 22, 2019.
But I'm sort of eager to know what it says sooner than that. That's because of all the recent discussion arising from recent posts (e.g., here, here, here, & here) on "trust in science"/"confidence in science"/"anti-science"/"we all love science!" measures.
The upshot of all that discussion seems, in my mind at least, to be this: there just isn't any validated measure of "trust in science/scientists" item or scale of the sort that one could use to support reliable inferences in a correlational study.
There are, on the one hand, a bunch of "general science affect measures" ("on a scale of 1 to a billion, how 'cool' is science?"; "on a scale of 10^45 to 10^97, how much do you love science?") that all seem to show that everyone, including "anti-science" conservatives and religious fundamentalists who deny the earth goes around the sun, reveres science.
On the other, there are "domain-specific science affect measures" that ask "how much do you trust scientists who say things like global warming is happening/gm foods are yummy/what's good for 'GM' [i.e., General Motors] is good of Amerika" etc. These find, not surprisingly, that the answer depends on what one's attitude is toward global warming/gm foods, industry etc. That's because domain-specific trust items are measuring the same thing as items that measure attitudes toward (including "risk perceptions of") the thing in question: namely, some general affective, yay-or-boo orientation toward whatever it is (global warming, gm foods, industry, etc).
People who are passionate about the hypothesis that "distrust in science" explains controversy over science-informed policy issues such as, oh, global warming, distrust the "general affect" measures; they are "missing" some more subtle form of ambivalence, they conjecture, that people won't admit to or necessarily even be able to detect through self-inspection.
A reasonable reaction, certainly.
But there's a problem if those same people then whip out data using the "domain-specific affect" measures to support their view. Because in that case, the evidence that "distrust in science or scientists" causes one or another science-informed policy controversy among "Hierarchs" & "egalitarians," "Republicans" & "Democrats," "born again Christians" & "atheists" -- persons who all swear they love science-- will consist of a correlation between two measures of one and the same thing.
That's called a tautology, which can be useful for some things but not for drawing causal inferences.
So is there anyway out of this dilemma?
Anway to solve this crisis of confidence/erosion of trust in measures of "distrust" in science/scientists?
Maybe this study is the solution!
But like I said, it'll be years before I can figure that out on my own (if I ever do; it's only a matter of time before the pile of materials sitting next to the transom topples over and crushes me . . . ).
Can any of you, the 14 billion readers of this blog, help out me & all the others too busy to get to this interesting looking study right now by taking a look & filing a report in the comments?
Thanks, fellow citizens!