This is the first part of a four-part series of articles about the bias against men and boys in psychological research. There is a video companion to this series that summarizes the contents of these articles. A link to this video will appear at the end of the article.
Most of us are familiar with the male bashing we see on television. Men are portrayed as buffoons and helpless ne’er do wells who consistently need others (women and sometimes children) to problem solve and do the right thing. Most people are tired of this ridiculous bias yet it continues unabated. What most don’t realize is that a very similar male bashing exists in mental health research. The past 40 years has brought us a powerful respect and admiration of women and girls. The problem is that we seem unable to hold both men and women in the highest esteem. As we hold our women up we seem to tear our men down. It’s as if we can only see women as “good” and men as considerably less than good. This binary vision of the sexes gets played out in the male bashing we see on television. It also gets played out in numerous other venues including mental health research.
This collection of articles will offer you an inside glimpse into the workings of several studies and show how the anti-male bias plays out. We have all grown to trust “research” and when we hear that a study shows that “X is correct“ we tend to automatically believe that “X” is correct. Research has taken on an almost divine ethos that carries the seal of approval of correctness. If science says it, it must be so. The problem of course is that science, especially social science, is less than concrete and is much more slippery than measuring a distance or the tensile strength of a bar of steel. Mental health research is much more vulnerable to values and the ideologies of the researchers. If a scientist believes a certain thing it usually has little impact on his measurements of the tensile strength of the bar of steel. No matter what he believes the measurement will likely be the same.
But what about issues in social sciences where researchers come to the table with a large amount of preconceived ideas, allegiances to ideologies that espouse strong opinions about those being studied or have traumatic life histories that bias them against certain groups? Can those sorts of things influence the “findings” of a social science study? You bet they can. Gone is the impartial judge weighing the evidence and sifting through the data to find the truth. In today’s world of social science research the opposite is happening: researchers are starting at their pre-conceived bias’s and then designing research to prove that bias. As bizarre as that sounds it is demonstrably true in some social science research. You will see some of that within this group of articles.
This sort of bias is not new to social science research. In the early 20th century social science researchers claimed blacks were the perpetrators and creators of social pathology. (see Death of White Sociology) There was something wrong with blacks and because they were “the problem” they were not seen as “worthy” victims. Numerous studies were done that “proved” blacks inferiority and this influenced the media and the general public reinforcing the prevailing stereotypes. Since blacks were seen as the problem it was a simple step to suspend any inclination to provide them with services. Why offer compassion and assistance for a group that so obviously simply needed to change their ways? In today’s world it seems that men have replaced blacks as the group that are blamed for social problems and then not expected to be deserving of services not unlike the way Blacks were portrayed in years prior.
We will see this negative framing of men and boys in all three of the studies we will be examining. Each of the three studies portrays men or boys as the source of the problem. They go on to simply omit any opportunity for men to be in need of, or recipients of, services. The third inventory actually takes a more aggressive approach and labels men as “normally” violent, seeking power over women and a couple of other doozies. A few years ago Paul Elam did a related article on the similarity between social science research on black people and now on men.
In the next section we start off with a short summary of a very important paper by Murray Straus titled “Processes explaining the Concealment and Distortion of Evidence on Gender Symmetry in Partner Violence.” Straus leads us through seven ways that feminist researchers hid or distorted the data of their studies in order to insure their results would reflect the pre-conceived ideology of females being the victims of domestic violence and men being the perpetrators. Straus’s explanations make very clear how an ideological bias can impact the results of social science research. He describes in detail exactly how they accomplished this. One technique he describes is simply ignoring your own data that contradicts your ideology. Another is to simply not ask questions that might risk obtaining answers that would contradict your thesis. After reading this piece you will have a better understanding of the ways this subterfuge has been accomplished.
The next section describes a 2009 study from Great Britain on teen violence. You will see how the researchers follow Straus’s descriptions by ignoring their own data. The original survey showed that boys were about 40% of the victims of violence but by the time the research was done and the recommendations made the ad campaign that followed was designed to help only girls and to teach the boys how to better treat the girls. Boys were the problem, girls deserved the services.
The following section features a study on “reproductive coercion.” It will show how the omission of the details about the sample of those surveyed had huge repercussions down stream. In a nutshell the study was done on impoverished African American and Hispanic females. This fact was not reported in the research article, nor reported in the press release, and never showed up in any of the national media articles that followed. It is well known that interpersonal violence is about three times as likely in an impoverished population. By omitting that little bit of data, that the sample was largely impoverished women of color, the ramifications of their study changed drastically from one that applied only to a poor population of women of color to a study that applied to the population at large. This shift resulted in millions of people reading about the study in the national media and being led to believe a message that simply wasn’t justified by the study itself.
The last section looks at the Conformity to Masculine Norms Inventory (CMNI). This inventory claims to measure men’s degree of conforming to what it calls “masculine norms.” There are multiple problems with this inventory but the most obvious is its choice of very negative descriptions for what masculine norms are in this culture. The norms include such descriptors as “violence” ”disdain for homosexuality” ”power over women” and ”playboy.” Simply choosing these words to describe men in this country is misandry. This is male bashing. There’s more.
It’s important to see the ways these studies try to influence the public and promote their own ideological biases. Each of these studies was done by researchers who appeared to have strong ideas about men and women and their research conveniently harmonized with their pre-conceived notions. With “science” holding so much power and ability to sway opinions it is critical that we watch carefully how the social sciences use their studies to proliferate their own ideological viewpoints.
The spreading of misinformation has a very negative effect on the population at large but there is no place in more danger of this than in the halls of congress. Our legislators are easily influenced by studies such as those described herein and the likelihood of laws being written based on one sided viewpoints becomes alarmingly high. To make matters even worse our legislators are largely unaware of their own unconscious chivalry and combine that with hysterical research that claims damsels in distress need funding and what you see is billions of taxpayers dollars being spent in a very questionable manner.
Combine these studies with the media, and then the blogs and you get a system that is fed by erroneous data that accepts it as fact and acts on it. One needs to only notice the fact that great majority of people in the US are convinced that women are the sole victims of domestic violence to understand the power of the media and particularly the media in combination with “studies” that are used more for propaganda than for gaining an understanding of the truth. The next section will explain exactly how feminist researchers told only half the story about domestic violence and in doing so have left the majority of people in the U.S. believing only women are victims of domestic violence.
There are millions of compassionate and loving people in the United States who have been given erroneous information about domestic violence. Over the years the media and academia have offered a steady stream of information that indicates that women are the only victims of domestic violence and men the only perpetrators. We have all been deceived. What most don’t know is that a part of that deception has been intentional and has come from the scientific community. As hard as it is to believe it is indisputable. Most of us had no idea of this deception until recently. More and more is now coming out about the symmetry of victimization in domestic violence. Men and women are both victims of domestic violence and also perpetrators.
One of the breakthroughs that have helped us identify this deception was the journal response of Murray Straus Ph.D. Straus has been an acclaimed researcher of family and interpersonal violence for many years. In his article he unveils the ways that this misinformation has been intentionally spread via “research.” He shows the seven ways that the truth has been distorted. It is a fascinating yet sobering article that shows how, without actually lying, the researchers were able to distort things and make it appear that it was something that is was not. We all know that once a research study is published the media will latch on and print the results as gospel truth so the media became the megaphone to spread the misinformation once it was inked in the scientific journal. I would highly recommend your reading the full report by Straus.
Let’s go through the seven ways one by one.
1. Suppress evidence. The first type of deceit that Straus describes is suppressing evidence. The researchers would ask questions about both men and women but only report on the answers from women. The half-story would leave readers with the impression that it was only women who were victims even though the researcher had the surveys of male victims on hand they simply didn’t report it. The data on male victims was simply buried while the data on female victims was reported. Straus discusses the Status on Women report from Kentucky in the late 1970’s that was the first to use this strategy.
They collected data on both male and female victims but only the female victims were discussed in the publications. Scientific method is dependent upon creating a hypothesis and testing it. If you get data from your test that is contrary to your original hypothesis this is just as important as getting data that affirms the hypothesis and can be used to adjust your original hypothesis. To ignore ones own data that contradicts the hypothesis is the epitome of disregard to the foundations of scientific inquiry. It leaves the realms of research and enters the realms of propaganda and shaping the outcome to mislead.
2. Avoid Obtaining Data Inconsistent With the Patriarchal Dominance Theory. The second method described by Straus was that of simply not asking the questions when you didn’t want to hear the answers. The surveys would ask the women about their victimhood and ask men about their perpetration but failed to inquire about women’s violence or men’s victimhood. If you ask questions that address only half the problem you are certain to conclude with only half the answers. Straus highlights a talk he gave in Canada where he evaluated 12 studies on domestic violence. Ten out of the twelve only asked questions about female victims and male perpetrators. If you don’t ask the questions you will never get the answers. Publishing half the truth is intentionally misleading.
3. Cite Only Studies That Show Male Perpetration Straus reveals a number of situations where studies or official documents would cite only studies that showed female victims and male perpetrators. He uses the Department of Justice press release as just one example where they only cite the “life- time prevalence” data because it showed primarily male perpetration. They omitted referencing the “past-year” data even though it was more accurate since it showed females perpetrated 40% of the partner assaults. Straus shows journal articles and names organizations such as the United Nations, World Health Organization, the US Department of Justice and others who used this tactic to make it appear that women were the primary victims of domestic violence and men the primary perpetrators.
4. Conclude That Results Support Feminist Beliefs When They Do Not Straus showed an example of a study by Kernsmith (2005) where the author claimed that women’s violence was more likely to be in self defense but data to support the claim didn’t exist. Apparently he had made the claim even without any supporting evidence. Straus shows that the self defense category was primarily about anger and coercion and not about self-defense at all but this didn’t stop the researcher from claiming the erroneous results which of course could be quoted by later studies as proof that such data does indeed exist.
5. Create “Evidence” By Citation The “woozle” effect is described by Straus as when “frequent citation of previous publications that lack evidence mislead us into thinking there is evidence.” He lists the Kernsmaith study and a report from the World Health Organization as examples. Both made claims (without evidence to back it up) that women’s violence was largely in self-defense. The claims were quoted repeatedly and people eventually started to believe that the claims were correct.
6. Obstruct Publication of Articles and Obstruct Funding Research that Might Contradict the Idea that Male Dominance is the Cause of Personal Violence Straus mentions two incidents that illustrate this claim. One was a call for papers on the topic of partner violence in December of 2005 from the National Institute of Justice where it was stated that “proposals to investigate male victimization would not be eligible.” Another was an objection raised by a reviewer of one of his proposals due to its having said that “violence in relationships was a human problem.” He also stated that the “more frequent pattern is self-censorship by authors fearing that it will happen or that publication of such a study will undermine their reputation, and, in the case of graduate students, the ability to obtain a job.”
7. Harass, Threaten, and Penalize Researchers who Produce Evidence That Contradicts Feminist Beliefs Straus provides details of a number of incidents where researchers who found evidence of gender symmetry (that both men and women were victims and perpetrators) in domestic violence were harassed or threatened. He described a number of instances such as bomb scares at personal events, being denied tenure and promotions, or “shouts and stomping” meant to drown out an oral presentation. He relates being called a “wife-beater” as a means to denigrate both himself and his previous research findings.
Straus concludes that a “climate of fear has inhibited research and publication on gender symmetry in personal violence.” His words help us to understand the reasons that our public is so convinced that women are the sole victims of domestic violence and men the only perpetrators. It has been years and years of researchers telling only half the story and when we get only half the story and consider it the whole truth we are likely to defend our limited version of the truth and ostracize those who may offer differing explanations.
The matter is further complicated due to the media having acted as a megaphone for the half story that has emerged so the “common knowledge” that has emerged from the media for many years has been half the story and due to its not telling both sides of the story, it is basically misinformation.
What this tells us is that we need to stay on our toes when it comes to social science research. Straus’s paper has helped us immensely in seeing how research can be set up to appear to tell the truth but fail miserably in doing so. While the researchers are not technically lying, the end product is similar since it produces only a partial image of the reality of domestic violence and leaves people without the details to fill in the reality of the situation. It is likely a good idea to have a look at the way each study gets its data, the exact nature of the people being used as subjects, and the conclusion drawn and if they are congruous with the data that was gathered. Next, in Part Two we will look at a study that uses Straus’s first example, ignoring ones own data.