ADHD: Medicate or Nature Walk?

From a New York Times article on the importance of recess, an interesting assertion regarding the effectiveness of medication v. nature  walks for ADHD:

A small study of children with attention deficit hyperactivity disorder last year found that walks outdoors appeared to improve scores on tests of attention and concentration. Notably, children who took walks in natural settings did better than those who walked in urban areas, according to the report, published online in August in The Journal of Attention Disorders. The researchers found that a dose of nature worked as well as a dose of medication to improve concentration, or even better.


When Testing is Damaging: “Stereotype Threat”

From a Washington Post article by Shankar Vedantam “How a Self-Fulfilling Stereotype Can Drag Down Performance” on some research that suggests that standardized tests themselves effect their outcome. Make sure to read the last two paragraphs. The story was brought to my attention by and excerpted by Ken Pope:

Sociologist Min-Hsuing Huang recently decided to ask whether the race of the person administering the survey mattered: He found that when black people and white people answered 10 vocabulary questions posed by a white interviewer, blacks on average answered 5.49 questions correctly and whites answered 6.33 correctly — a gap typical of the ones found on many standardized tests.

Huang then examined the performance of African Americans who interacted with black interviewers: He found that black respondents then answered 6.33 questions correctly — the same as white ones. The reason African Americans scored more poorly on tests administered by white interviewers, Huang theorized, is that these situations can make the issue of race salient and subtly remind the test-takers of the societal stereotype that blacks are intellectually inferior to whites.

Huang’s findings, recently published in the journal Social Science Research, are only the latest in a body of research that has gone largely unnoticed by policymakers, parents and managers: Dozens of field experiments have found that reminding African Americans and Latinos about their race before administering academic tests, or telling them that the tests are measures of innate intelligence, can hurt their performance compared with minorities who were not reminded about race and not told that the results reflect inherent ability.

Psychologists such as Claude Steele at Stanford University came up with the term “stereotype threat” for the phenomenon:  When people are threatened by a negative stereotype they think applies to them, they can be subtly biased to live out that stereotype.

The threats do not have to take place at a conscious level: When volunteers in experimental studies that have found huge stereotype-threat differences in performance are told about the phenomenon afterward, they invariably tell researchers that the theory is interesting but does not apply to them.

Nor are the findings limited to blacks and Latinos. The same phenomenon applies to women’s performance in mathematics.


In a soon-to-be-published study, researchers Gregory M. Walton at Stanford and Steven J. Spencer at Waterloo University in Ontario explored a question with even thornier implications.  What does stereotype threat tell you if you are a college admissions officer debating between a man and a woman who both have an SAT score of 1200?


But in two meta-analyses involving nearly 19,000 students, Walton and Spencer found that when schools and colleges go out of their way to ameliorate stereotype threats, the performance of women and minorities soars — it’s as if these students are athletes who have been running against a headwind.  Without the headwind, Walton and Spencer found that minorities, and women in math and science, do not just do as well as whites and men with the same SAT scores — they outperform them.

“We would argue if you simply use test scores, you are building in discrimination into a system,” Spencer said.  “The test scores underrepresent what minorities, and women in math and science, can do.”