Injustice, misbehavior, and the scientist’s social identity (part 3).

Let’s wrap up our discussion on the Martinson et al. paper, “Scientists’ Perceptions of Organizational Justice and Self-Reported Misbehaviors”. [1] You’ll recall that the research in this paper examined three hypotheses about academic scientists:

Hypothesis 1: The greater the perceived distributive injustice in science, the greater the likelihood of a scientist engaging in misbehavior. (51)

Hypothesis 2: The greater the perceived procedural injustice in science, the greater the likelihood of a scientist engaging in misbehavior. (52)

Hypothesis 3: Perceptions of injustice are more strongly associated with misbehavior among those for whom the injustice represents a more serious threat to social identity (e.g., early-career scientists, female scientists in traditionally male fields). (52)

We’ve already looked at the methodological details of the study. We’ve also examined the findings Martinson et al. reported. (In short, they found that early-career and mid-career scientists reported more procedural injustice than distributive injustice; that early-career scientists who perceived high levels of distributive injustice were somewhat more likely to report engaging in misbehavior than those who did not; that misbehavior was most likely from mid-career scientists with high intrinsic drive who perceived a high level of procedural injustice; and that female scientists were less likely to engage in misbehavior than male scientists.)

In this post, we’re going to consider what these findings mean, and what larger conclusions can be drawn from them.

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Schwarzenegger signs Researcher Protection Act of 2008.

The past couple years in California have been scary ones for academic researchers who conduct research with animals (as well as for their neighbors), what with firebombs, home invasions, significant intentional damage to their properties and threats to their safety.
In response to a ratcheting up of attacks from animals rights groups, universities have lobbied for the Researcher Protection Act of 2008, which Governor Arnold Schwarzenegger signed into law on September 28.

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Injustice, misbehavior, and the scientist’s social identity (part 2).

Last week, we started digging into a paper by Brian C. Martinson, Melissa S. Anderson, A. Lauren Crain, and Raymond De Vries, “Scientists’ Perceptions of Organizational Justice and Self-Reported Misbehaviors”. [1] . The study reported in the paper was aimed at exploring the connections between academic scientists’ perceptions of injustice (both distributive and procedural) and those scientists engaging in scientific misbehavior. In particular, the researchers were interested in whether differences would emerge between scientists with fragile social identities within the tribe of academic science and those with more secure social identities. At the outset, the researchers expected that scientists at early career stages and female scientists in male-dominated fields would be the most likely to have fragile social identities. They hypothesized that perceptions of injustice would increase the likelihood of misbehaving, and that this link would be even greater among early-career scientists and female scientists.

We started with a post walking through the methodology of the study. In this post, we’ll examine the results Martinson et al. reported. Part 3 will then consider what conclusions we might draw from these findings.

First, how much injustice did the study participants report?

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Injustice, misbehavior, and the scientist’s social identity (part 1).

Regular readers know that I frequently blog about cases of scientific misconduct or misbehavior. A lot of times, discussions about problematic scientific behavior are framed in terms of interactions between individual scientists — and in particular, of what a individual scientist thinks she does or does not owe another individual scientist in terms of honesty and fairness.

In fact, the scientists in the situations we discuss might also conceive of themselves as responding not to other individuals so much as to “the system”. Unlike a flesh and blood colleague, “the system” is faceless, impersonal. “The system” is what you have to work within — or around.

Could scientists feel the same sort of loyalty or accountability to “the system” as they do to other individual scientists? How do scientists’ views of the fairness or unfairness of “the system” impact how they will behave toward it?

It is this last question that is the focus of a piece of research reported by Brian C. Martinson, Melissa S. Anderson, A. Lauren Crain, and Raymond De Vries in the paper “Scientists’ Perceptions of Organizational Justice and Self-Reported Misbehaviors” . [1] Focusing specifically on the world of the academic scientist, they ask, if you feel like the system won’t give you a fair break, is your behavior within it more likely to drift into misbehavior? Their findings suggest that the answer to this question is “yes”:

Our findings indicate that when scientists believe they are being treated unfairly they are more likely to behave in ways that compromise the integrity of science. Perceived violations of distributive and procedural justice were positively associated with self-reports of misbehavior among scientists. (51)

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Freelance chemistry for fun and (illegal) profit.

You know how graduate students are always complaining that their stipends are small compared to the cost of living? It seems that some graduate students find ways to supplement that income … ways that aren’t always legal. For example, from this article in the September 8, 2008 issue of Chemical & Engineering News [1]:

Jason D. West, a third-year chemistry graduate student at the University of California, Merced, was arraigned last month on charges of conspiring to manufacture methamphetamine, manufacturing methamphetamine, and possessing stolen property. West allegedly stole approximately $10,000 worth of equipment and chemicals from the university to make the illegal drug.
West, 36, pleaded not guilty to the charges and as of press time was in jail on $1 million bail. Police have found materials traced to West at three different meth labs and in one vehicle, says Tom MacKenzie of the Merced County Sheriff’s Department.

The police ended up arresting West following an investigation by UC-Merced campus police of the whereabouts of a vacuum pump that went missing from West’s graduate lab. Graduate students take note: your advisor will miss that expensive piece of lab equipment.

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How scientists see research ethics: ‘normal misbehavior’ (part 2).

In the last post, we started looking at the results of a 2006 study by Raymond De Vries, Melissa S. Anderson, and Brian C. Martinson [1] in which they deployed focus groups to find out what issues in research ethics scientists themselves find most difficult and worrisome. That post focused on two categories the scientists being studied identified as fraught with difficulty, the meaning of data and the rules of science. In this post, we’ll focus on the other two categories where scientists expressed concerns, life with colleagues and the pressures of production in science. We’ll also look for the take-home message from this study.

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How scientists see research ethics: ‘normal misbehavior’ (part 1).

In the U.S., the federal agencies that fund scientific research usually discuss scientific misconduct in terms of the big three of fabrication, falsification, and plagiarism (FFP). These three are the “high crimes” against science, so far over the line as to be shocking to one’s scientific sensibilities.
But there are lots of less extreme ways to cross the line that are still — by scientists’ own lights — harmful to science. Those “normal misbehaviors” emerge in a 2006 study by Raymond De Vries, Melissa S. Anderson, and Brian C. Martinson [1]:

We found that while researchers were aware of the problems of FFP, in their eyes misconduct is generally associated with more mundane, everyday problems in the work environment. These more common problems fall into four categories: the meaning of data, the rules of science, life with colleagues, and the pressures of production in science. (43)

These four categories encompass a lot of terrain on the scientific landscape, from the challenges of building new knowledge about a piece of the world, to the stresses of maintaining properly functioning cooperative relations in a context that rewards individual achievement. As such, I’m breaking up my discussion of this study into two posts. (This one will focus on the first two categories, he meaning of data and the rules of science. Part 2 will focus on life with colleagues and the pressures of production in science.)

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Important advice for academic job-seekers at all levels.

Do not claim to have earned a degree (or degrees) that you did not in fact earn.
Degree-granting institutions maintain records of degree recipients. Eventually, chances are good that someone will check.
And even if your talents are worth more to your position than a degree could be, your dishonesty will be held against you.
Go with talent and integrity over talent and pretend credentials. Those who employ you will appreciate not being played for chumps.

What’s up with the market?

Not the financial market, but the market for highly trained folks in science, technology, engineering, and mathematics (STEM). In particular, why do people keep talking about the need for a larger talent pool in STEM when so many Ph.D.s and postdocs are having a rough time finding permanent positions?
Today, Inside Higher Ed has an article about what demographer Michael S. Teitelbaum of the Alfred P. Sloan Foundation makes of this apparently paradoxical state of affairs:

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Assorted hypotheses on the science-humanities divide.

Reading the comments on my post and Chad’s post about the different societal attitudes towards humanities and arts and math and science (especially in terms of what “basic” knowledge a well-educated person ought to have), I get the feeling that some interesting assumptions are at play. Since I don’t want to put words in anyone’s mouth, I’m just going to lay out some of the hypotheses that have occurred to me as I’ve read through these discussions:

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