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Report mostly inconclusive on Leadership Academy effects

We’re on staycation, but we wanted to share what just popped into our inbox: The long-awaited evaluation of principals who graduated from the city’s controversial Leadership Academy.

The report concludes that graduates of the Leadership Academy took especially tough jobs, stopped their schools from getting worse, and posted reading test score gains that outpaced those made at other schools with new principals. In math, schools led by Leadership Academy graduates improved but not significantly more than other schools. And the study looked at too few high schools to conclude anything about the effect of Leadership Academy principals there.

The report’s authors, three professors at New York University, say more research is needed to identify what about the Leadership Academy graduates allowed their schools to make comparatively more progress in reading. They emphasize that the Leadership Academy, which fast-tracks educators into school administration, selects applicants that it believes will make successful principals, so the study could not cast light on how well the program prepares the average prospective principal.

The report was paid for by foundations that helped fund the academy before it moved onto the public dollar last year, Broad and Dell.

EdWeek has more detail about the report, which is posted in full after the jump:

  • Jack

    Sorry for not reading the whole article yet, so please excuse me if this has been answered in the study…

    …I have to wonder if the study included principals who were terminated before the study could take place. In other words, there is a positive effect because the crummy principals who failed their LA assignments were not able to have their data included?

    I know there’s a statistical/research effect term for this. Professor Pallas to the rescue!

  • jacob

    good question. I haven’t read it either, but from the Edweek article:

    “The study—the first independent examination of the program’s effectiveness—includes principals who remained at the same school for three or more years. Using the data from those years, researchers compared the scores of the average student in each of those schools with the citywide grade-level average.”

  • Aaron Pallas

    Jack, the term you are looking for is selection bias, which occurs when a sample is selected in a way that it is not representative of the population it is intended to represent. If, for example, Leadership Academy principals left before three years because they were incompetent, then examining the school outcomes for those who persisted for three years would run the risk of selection bias, as those who persisted would not be representative of those who started. The report does address this issue, and I’ll have a bit more to say about it in a day or two.

  • http://homepages.nyu.edu/~sc129/ Sean Corcoran

    Hi everyone -
    I’m one of the co-authors of the Leadership Academy study, and would just like to contribute my two cents to this discussion.

    First off, the headline above is probably not the best choice of words to describe our study — we actually do have conclusions. The “inconclusive” part of the study relates primarily to high schools. We had hoped to do as thorough an analysis of high school achievement, but at the end of the day there were too few eligible HS principals to say much with confidence. At the elementary and middle level, a better word to describe our results might be “mixed.” After a few years, APP schools were improving at a slightly faster rate than comparison schools in ELA, but in math they improved at comparable rates.

    On the subject of selection bias, this is always an important issue. There are several varieties of selection bias, and we were not able to address them all in this study. For example, those who sign up to participate in the APP program are not a random draw from those who might become principals, and principals are definitely not randomly assigned to schools.

    In addition, we focused only on principals who stayed in place 3 years or more. It could be that those who stay are more (or less) effective than those who leave early, as Prof. Pallas said. One could call this “attrition bias.” The question is whether this was more or less true for APP principals than comparison principals. We don’t address this in the study, but it’s not obvious to me that it should work one way or the other. It’s also not obvious to me that the least effective are the most likely to leave their school early. It could be that more effective leaders are hired away by other schools, are promoted to district positions, or are charged with phasing out a closing school (which some did–they had to be excluded from the study).

    Unfortunately, I can only speculate. We didn’t look specifically at these questions in the study, and doing so is probably harder than it sounds. It’s important to know if/when principals stay in place for only a year or two (or less). But when they do, they don’t leave much of a track record behind for us to assess.

    As is true for all research, this study should not be considered the last word on the APP program. There is much in the study we did not (or could not) address, and still much to learn.

    Thanks to everyone for their interest -
    Sean Corcoran
    New York University

  • http://homepages.nyu.edu/~sc129/ Sean Corcoran

    Hi again -
    A quick clarification to my last comment. I said “There are several varieties of selection bias, and we were not able to address them…”

    I should have made clear that I was speaking generally–that there are potential sources of selection bias that one should be aware of in *any* study, including our own. I didn’t mean to suggest that our study *is* biased in these ways. It is often difficult to know whether all sources of bias have been accounted for in a study, and if not, how important they are to the study’s conclusions. The job of the researcher is to address these questions as best he or she can.

    That’s what I get for using too much technical jargon in my post…
    Sean

  • Jack

    Thank you to Drs. Pallas and Corcoran for contributing on a public website and your comments on this study in particular.

    I’ll throw an anecdotal piece of information into the statistical stuff just to bring the overall findings into street-level view. P.S. 194, which has been in recent news for its potential closing and reopening under the Harlem Success Charter School banner, had a revolving door at the top of the school several years ago. One such principal was from the Leadership Academy. He lasted less than one year. His next destination? The rubber room. In research terms it’s “n=1″ but to those who worked at the school it was another failure – one which didn’t make the cut in the study.

    I appreciate the hard work that goes into number crunching. This is a difficult area to study and it’s even harder to practice in a politically charged atmosphere. However, my instinct tells me that there is a lot of data that is missing from the conclusions, and that missing data renders the findings highly suspect…or unreliable if I may use a statistical term. Knowing what I’ve observed in other schools I’d be hard pressed to find a LA principal who could demonstrate a significant advantage above what other principals without LA training might show. True, current data from Dr. Corcoran’s study yields the opposite conclusion, and I’m just objective enough to give it credence, but I’ve yet to note a difference at the locations I’ve seen with my own eyes.

    As an aside, please throw all the wonkiness at us. It may be obvious that your educational and professional credentials are unassailable in the academic world but in the blogosphere it always helps to establish street cred. And it’s extra motivation to dust off my old stats books to get a better feel for the real meaning underlying the narrative.

    OK, I’ll let the wonks draw their SPSS swords and watch the battle from afar. :)

  • Diana Senechal

    According to the study, of the 147 APP graduates of cohorts 2004-05 and 2005-06, only 88 were eligible for the study. True, the principals of comparison schools had to meet the same selection criteria, but it is not clear how many were ineligible or why. I too appreciate the work that went into this study and hope that it raises further questions.

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