National Data Archive on Child Abuse and Neglect. okay everyone it is noon so I will kick things off first welcome to the second annual NDACAN or National Data Archive on Child Abuse and Neglect summer training series. We’re really excited to have you all here today this is the second year they were doing this and we’re focusing each training series or webinar series over the summer on particular issues so welcome back to those who were with us last summer when we were focusing specifically on the NYTD data set. The summer we’re going to be focusing on our whole administrative cluster and this was an idea that came out in the survey that we sent people who participated last Time, they wanted to know more about the entire administrative data cluster. Please turn your video off and use your line and just as an FYI the session is being recorded because we’re going to be turning it into a video series which will be posted on our website after we do some formatting and transcription. And then just some cleaning up work at the beginning, throughout the session if you have a question that comes up, you can type it into the chat box. We’re gonna keep everyone muted just so we don’t have the kind of echoing issues that you sometimes have with lots of people on muted. And then at the end of the session I will moderate the question-and-answer so I’ll read the questions out loud and then John or whoever the question is directed at will answer. So thank you for that and there’s just a little chat button so hopefully everyone can see that. And we’re gonna kick it off so again thank you all for being here today. This is the National Data Archive on Child Abuse and Neglect summer training series that’s run through the Bronfenbrenner Center for Translational Research at Cornell University. And we are very lucky to have a whole host of wonderful presenters the summer. This is kind of an overview of what our summer’s going to look like. So today we are doing that first session so it’s an introduction to The National Data Archive on Child Abuse and Neglect, the type of services that we offer, the data that we have, and that will be done today by Dr. John Eckenrode who is very well renowned researcher of child abuse and neglect and child welfare coming from the Human Development and Family Studies Program at Cornell. He is also the former director of the National Data Archive, and then throughout the summer were going to be moving through sessions that are specifically focused on three of our data sets, and then strategies for secondary data analysis and kind of how to use administrative data some tricks of the trade. We’re then going to be talking about linking these three data sets which is a really unique offering of our data, and then in our concluding session we’ll be hearing a conference style presentation of the study that used some of our data. So today I’m going to be passing over we’re really lucky to have Beth and Malcolm here from Children’s Bureau, they are going to be introducing the session and our series this summer. So Beth, Malcolm, take it away! Welcome everyone! My name is Beth Claxon and I am one of the assigned federal staff working with the data archive. I work within the Children’s Bureau and so on behalf of the children’s Bureau we appreciate your interest in in the data. We’re grateful for your time and we are hopeful that your efforts will produce products that influence policies and funding to support and enhance the well-being of our children and families. So again we we all have a part to play and we are thrilled at the response to this summer series. As Holly referenced the data archive is interested in your feedback state to collect your feedback and that is does play a major role in how future sessions and topics are identified. So we encourage you to provide feedback and suggestions for future opportunities as part of the data archive. So I’m going to turn it over to Malcolm Hale. So I think Beth mostly covered it I would just again stress the point on feedback I know that people in the archive are very excited and very familiar with this material so if there’s something that you don’t feel like you’re getting, you know, give them the feedback so they can improve their job, you know what they’re doing. And you know help you do what you want to do better and you know the goals are pretty clearly laid out and hopefully we’ll get there in the end of this different webinar series. That’s it thank you. Wonderful, thank you for that and I realized I forgot to introduce myself, I hi everyone I am Erin McCauley. I’m a graduate researcher in the data archive and I’m gonna be hosting this summer, so I won’t be doing any specific presentations but you will hear from me each week during the introduction, wrapping up, and previewing the following week and then you’ll also get an email from me at the end of the summer series requesting feedback. So as Beth and Malcolm both emphasized we really value feedback at the data archive and that’s why we’re here right now so I’m gonna pass it over to John who’s gonna start us off. Thank you very much welcome everyone. Thank you very much for taking a little bit of time out of your summer to join this series. I hope you can join all the sessions but if you can only join a few that’s that’s fine too. We welcome all levels of participation. And as Beth and Malcolm and Erin said we really encourage follow-up from you if you have more detailed questions that can’t be answered on the online series, please get in touch with the archive and and one of the staff members who can can answer your questions. Okay well the goal of today’s session really is an overview of the archive which includes the administrative data sets will be the focus of the other sessions but obviously we have a broader mission and a broader set of data that we distribute so I want to make sure that you are aware of those. Those functions that we perform and again encourage you to interact with us in whatever way is most helpful to you. So the mission of the archive is basically to promote secondary analysis of child abuse and neglect data and we do this by providing researchers with data sets, documentation, technical support, and by doing so we hope to encourage also collaboration with the within the scientific community’s so people get to know each other and share ideas with each other. So that’s our overall mission. I just a quick background information about the archive we are located as Erin said at Cornell in the Bronfenbrenner center which is part of the College of human ecology. And the archive was founded in 1988 I was the founding director that was then the through some grants from the National Center on Child Abuse and Neglect and we’ve had continuous funding ever since from the federal government and now we’re within Children’s Bureau. And we’re very happy for that support and it’s been great long-term relationship so we appreciate our federal partners and a very much I think we do hopefully a good service for the field child welfare, child welfare field. So we are now under a contract with the Children’s Bureau. It’s for those of you who have had federal contracts versus grants or cooperative agreements we’ve had all of those over our years but we are now in a contract mechanism. Even though we’re national Center we are a fairly small shop. We have about five FTE positions within the archive. Some of the our folks are part-time we have some full-time folks. So we’re we’re not a huge operation but I think we serve an important function within the field of child welfare research as part of the research infrastructure for the field. So we hope you’ll take full advantage of our services. Just a little bit of background. As many of you know there’s there’s been of much more emphasis on data sharing, secondary analysis, in a variety of fields including child welfare but also including psychology, sociology, demography, certainly in economics and those fields which depend very heavily on the use of secondary data. It’s a bit of a newer phenomena for the child welfare field and for a field like American psychology but a number of associations and and groups have now sort of gotten on board with the value of secondary data and the value of data sharing. As many of you know who publish in various journals there is now often requirements around data sharing within the scientific community, also. Also federal funders many now require data sharing that includes any research that gets sponsored by the children’s Bureau. So if you’ve gotten grants, research grants from the federal government you will often	have a data sharing requirement attached to that. So a couple years ago a few years ago American psychological Association put out a document that kind of outlined at least their view of the value of of data sharing and I put it on this slide we don’t have to go over it in great detail. But the idea is that data sharing kind of promotes scientific progress. It’s also a kind of a way to encourage transparency and openness within the scientific community, and it allows people who don’t have access to, or have limited resources in terms of collecting data to investigate important scientific questions, replicate findings of others, and so forth. And ultimately the data sharing process hopefully promotes the aggregation of our knowledge in the form of syntheses and meta-analyses and so forth. So it a number of benefits to data sharing that have been talked about in various fields over the years and these are just a few. You might ask, does data sharing result in more publications? This ultimately that’s the sort of end result of what we’re trying to do in making data available to people to researchers in the field is to increase the scientific output. We could measure that if you will in terms of publications. And there’s actually been some research on this and I’ve listed a study here on by Pienta and colleagues back in 2010. And what they did is looked at over 7000 research awards from NIH and NSF in the social and behavioral sciences that were awarded between ‘85 and 2001 and then they surveyed those PI’s the 1200 PI’s of those awards. And what they found is that the great majority of awards are not at that point in time it’s probably a little better now, were not archived publicly, and that a large number of those awards yielded no secondary publications. However there was a number obviously awards that did share the data and when they looked at the mean median number publications from grants with and that were or were not data archived, they found that the median number of publications was 4 from grants that were not archived and 10 from grants that were archived. So in a way as a data contributor the potential data contributor as well as the data user what what happens when when you archive your data and there’s secondary analysis facilitated it results in more scientific output and more publications from that grant and from that data’s data collection effort. So it’s good for the field as well as for the individual investigators who have access to the data and it helps, we would argue, the original contributors the people who collected the data as well because they it opens up avenues for collaboration and certainly gets more attention to the dataset that they worked so hard to collect. So what do we do? We obviously acquire and assess data sets and we get those data sets from a variety of places. The ones we’ll talk about in this series are federally-administered data sets that are that involve data that’s been collected by the federal government from states and agencies. So that simply one one aspect of of what we do is we manage those data sets after they’ve been collected by the federal government. Obviously Children’s Bureau and HHS has their own use and needs for those data including in terms of quality control issues. But we then get the data for distribution at researchers like yourself for secondary analysis. And I’ll talk a little bit about other data sets that we have on board as well. And there’s obviously a list of all that on our website. An important part of what we do is protect confidentiality so there’s a disclosure review that occurs in any data that we receive. Obviously be very concerned not to have identifying information in those data whether it’s primary identifiers like names and addresses and so forth but also we look at secondary identifiers age, race, sex and so forth and try to make sure that we minimize disclosure review. We’ve really had very little issue with in that regard it’s still important to be sort of en garde and then be very judicious in that regard. An important part of what we do is document the data sets. So as part of every data set we distribute we develop a user’s guide we hope it’s a very family user’s guide and guides you through the process of what the data set is, what it contains, any special issues with regard to using the data as a user and so forth and then the codebook which obviously talks about individual variables and value labels and that kind of thing. Part of our role over the long term we’ve been in business now for over 30 years is to preserve data sets. And for those of you who collect your own data and store your own data for a long period of time you know that that can prevent some issues as immediate changes. When we first started as an archive we were receiving data on big data tapes, for those of you old enough to remember those things. I don’t quite go back to the punch card era also I do as an individual researcher. But as you know things change over time and so part of what we do is have to migrate data occasionally into the new media that people are using and storage requirements and so forth. So that’s part of our goal as well. So things don’t go out of date and become inaccessible because of not having kept up. Important part obviously of what week to is to license data to eligible researchers. Based on the nature of the data that we collect around child welfare, child abuse and neglect, foster care and so forth with don’t just put data up on the web for people to download. We require that you apply to get the data. Different data sets have slightly different requirements but there is a lot of similarities across that. It’s not a terribly onerous process but it’s one we require to keep some control over that process. And then obviously then we disseminate data sets in whatever format you as a researcher need. And so those are the sort of important data set activities that we do. So let me just focus, as I said you can go on our website and look at all the data sets that we collect and I don’t have time to go through them all but let me just summarize very quickly. The federal data collection efforts that we are involved in and the data [inaudible] by. This series will deal with the administrative data sets: NCANDS, AFCARS and NYTD. And those still get a lot of detail about that and have a lot of opportunity to have back and forth on those data sets. We do have other federally- supported data collection efforts, big ones and important ones like the NSCAW data, LONGSCAN Longitudinal Studies of Child Abuse and Neglect, all the national incidence studies the four National Incidence Studies. So those were big and important data set data collections that we also distribute. And then as I said there’s a number of others that we also survey data and so forth that we also distribute. So in addition to getting data in and cleaning it, documenting it and distributing its to users we also we we never wanted to be just a passive repository of data where sort of like a library where it’s sort of sits there and you come get it. We also knew right from the beginning that we needed to be involved with sort of actively doing user support and user communication and obviously this training series is an example of one of those efforts. So we do a fair amount of training whether it’s now online or at conferences we and so forth and we do a lot of on-demand technical assistance probably a major part of our staff time is spent on one on one technical assistance with users. So we try not to let people sort of out there on their own to long struggling with the data set and we encourage people to get back in touch with us if you get it data set and your kind of stuck on something you can’t figure it out. So we do a lot of that kind of thing. We also occasionally review proposals and manuscripts for folks who are using where that data we distributed to them are major part of their proposal. They may for example have a secondary data analysis proposal they’re submitting and have questions about the data set that they are or data sets that they are focusing on. So sometimes we help people answer questions in that in regard to proposals and manuscripts. We do do special data analysis requests for people who need to do have that for and maybe don’t have to technical capacity at their home institution for the kind of data analysis they want to do. Those requests go back through the children’s Bureau and we we always we have a discussion with Beth or Malcolm about that before we get engaged with that kind of thing. But it is a possibility and so we do a some of those each year as well. As I mentioned we do conference workshops and webinars and finally there’s a summer research Institute that we do we’ve been doing for over 25 years. Originally it was an in person summer Institute, it’s now migrated to be an online event starting in 2016. Some of you on the line may have participated in one of these and so we encourage you to look at that as well. And that’s basically the goal of that is for you to advance your own research agenda. So rather than be an sort of an online classroom where you’re sitting and taking notes and learning something about the data set, you already have the data set you’re you’ve been in you’re familiar with it and now have a data analysis plan and you want to execute that plan. And so it’s basically a way for you to make may be a little bit faster progress on your own data analysis agenda with technical support in the background during that those four days of the Institute. So so folks like Erin and another archive staff will be available so and the statistical analysis help and so forth. So take a look at that if you are interested in that kind of thing. Sort of the complement to what we are doing through this series. We do other activities they we could call supports and communication activities. We do have an electronic mailing list the CMRL has about 1500 folks subscribe to that and that’s a place to post information like if you have an upcoming conference that you are posting, you have a job in a child welfare area research area that you want to get out there a job ad out there, or just a question about the data set or that you think might be of general interest to the general child welfare research community. It’s not intended for kind of clinical issues it’s we try to keep it more to the kind of research and evaluation type questions. It’s a moderated list so I actually moderated and so so I look at every post before it’s put up. It’s not a terribly active list so don’t be afraid that you’ll be getting you know 20 messages from the listserv every day that would be annoying so we try to keep it’s a fairly modest level of activity. So if you’re interested in that you can go to the website and sign up. We do an occasional E-newsletter just to give you some updates about what’s going on in the archive, new data sets coming out and so forth. An important part of what we do and something I’d encourage you as users or potential users to take a look at is our child abuse and neglect digital library. And what we do their is essentially save you the trouble of combing the literature to find publications related to a particular data set. So if you are interested in AFCARS and you are new to AFCARS and you want to do a particular study, set of analyses but you don’t know if other people have already done those kinds of things. We try to collect and keep up to date all the publications we can find related to that data set and all our data sets in the archive. So you can go in and browse those publications. If your library subscribes say, you’re in a university and your library subscribes to that journal you can get access to the actual paper. So it’s this is the service I think that saves you a lot of time and effort and also it’s an important part of getting started as a secondary analyst is to obviously to know what has happened before. These are all data sets that other people have probably used. There’s maybe and depending on the data set a fair amount of literature already out there so the first task as secondary analyst is to become familiar with that and build off what other people have done and tried to prevent you know duplication of effort. So it’s a so we tried to make it a little easier for you so that you can find those publications pretty readily. We also have a measures index. We put a little less time and that but it’s still useful tool I think if you’re interested in knowing, for example, which of our data sets which of the studies that we distribute have used the CBCL index or something. Or a particular depression scale, or a particular usually it’s multi-item scales and that kind of thing. You can go in there and search and at least get started on that process again it will save you some time. And then obviously we do the online training and we try to then post those to the website so that you can go back and look at things. One again the question that we get asked is well what what’s the result of having a data archive? Is it really increase scientific productivity in the field and we’ve tried to do a little bit of work on this. There’s this figure’s a few years old now so we need to update it but it basically tells the story. And what we try to do is go through the candL and classify all the publications related to the data sets we have in terms of whether it was the original user the original data collectors the people who ran the studies. They’re obviously publishing off of the studies that they were PI’s on and researchers on. And then how many publications could we find from you secondary users, people that were not part of the original team but got the data from us and did their own studies. And what we found basically is the so far that the archive that the number of publications from secondary users is about equal to the number of publications from the primary data collectors, the original PI’s on those projects. So we’re basically in a shorthand we’re sort of doubling the productivity as an archive of those data sets. And so I think that’s gratifying that that we’re sort of having some impact on the field. We have other plans we’re doing other kinds of analyses like these like this is a sort of overview of that. Different data sets have had different levels of activity. NSCAW is a big one. Those of you familiar with the national survey there’s now two in: there’s NSCAW one, there’s NSCAW two and that has produced a large number of publications. The administrative data sets AFCARS and NCANDS are certainly have produced a fair number of publications as well somewhere between 75 and 100 publications that we have been able to find from those. LONGSCAN is also a popular one. NYTD is just getting started so I didn’t put that on here because it’s our newest administrative data set so the number of publications is still fairly modest but it’s a it’s it’s picking up steam fairly quickly so people are using NYTD and are starting to publish from it. Here I just list a few sample publications and I won’t go through these all. But just to give you an idea of some of that titles and fees you can all find and many more in our canDL digital library. If you just glance at some of these you can see if they are interesting and important issues for. These are all secondary users and the they’re appearing in good journals for and that’s some of the top child welfare journals and also other journals such as Pediatrics JAMA. And again just a few more examples with NSCAW, LONGSCAN and so forth so again these are all archived within the canDL and I think we have pretty good coverage there we try to keep that fairly up to date so that it’s picking up the new for newest things as well. I thought I’d use a little after 12:30 I thought I would just use dives into a one example of a study that we conducted here using the NCANDS data. This was published a few years ago in Pediatrics and it’s just a as an example of an analysis again looking at a sort of the big picture question. In this case whether income inequality in the United States is related to rates of child maltreatment. So that was our question as you know there’s been a lot of discussion about income inequality as it relates to a whole variety of outcomes. Child health outcomes and so forth. So we were interested in whether income inequality over and above poverty which is a obviously a related issue is related to rates maltreatment in the United States. So to do that we examined county level data. There’s almost 3000 counties there is 3000 counties in the United States great county level data from almost all of those. Our outcome was number of substantiated victims over a five-year period. We used the sort of standard or one of the standard indexes for income inequality and we got that from census data. So again this is an example of pulling data from a few different places and creating a data set to answer particular question. So it’s not all within the NCANDS data we didn’t have the inequality measure obviously in the NCANDS data so we had to go to census to find that which has that data at the county level. And we had other county-level predictors from census data as well: child poverty rates, race/ethnicity, education of adults, public assistance rates and so forth. We are interested in these analyses to look at both linear and nonlinear effects so that that helped drive the analysis strategy. So I said there’s sort of a there’s been a long tradition of linking poverty to child maltreatment and a lot of you on the call are quite familiar with that work going back to Pelton and others folks back in the 70s and moving forward. So it’s you’ll find a fair amount of work on on poverty and poverty rates at the aggregate level whether it’s county or or neighborhood or state level maltreatment rates but there have been very little related to income inequality. So a so as I said there’s been much more attention in recent years around income inequality and much more discussion at the policy level so we thought that was an important thing to look at. So the data as I say came from NCANDS, this is case-specific information on all US investigations for maltreatment during that time period. Other data came from the American Community Surveys maintained by the Census Bureau. And again this is sort of summaries of demographic and demographic and economic information for individuals, families, and households. So our outcome variable is rates of substantiated maltreatment and then we aggregated this to the county level. You could do a similar analysis at the state level but obviously you’d be dealing with an N of 50 then which limits obviously the power to look at some of these issues. And to get a better stable aver a stable measure we averaged over five years in case there’s some there is some year-to-year fluctuations so we wanted to stabilize that out there. Our predictive variables are the Gini coefficient, at the state level we had we wanted to account as many of you know work in child welfare and whether it’s on the practice side or on the administrative side or the research side, you get a fair amount of state-level variation in child welfare systems, rates of maltreatment across states and so and so we wanted to account for state state effects because state variability in maltreatment rates we had that as a variable, we had poverty rate this is child poverty rates and then a maltreatment variable and then other demographics as I said before. Those of you who have looked into inequality or looked at these kind of maps this just give you an idea of the variability and income inequality in the United States this is county level information. The higher the number that is the darker this the square if you will the higher the inequality. For there a fair amount of variability you can see a sort of some clustering of any quality in certain parts of the country. And so this is sort of what we wanted to look at this take advantage of that variability to see if it had also some relationship to variability in maltreatment rates. I won’t go too much into this but we used general additive models so we could look at nonlinear as well as linear effects. So this is sort of a nonparametric technique so they we can look at nonlinear relationships. So this just looks at the model and the model terms and so we don’t have to get too much into that. But its basic message is that we want to look at both linear and nonlinear and be able to represent those. So this is what we found, this is a relationship between inequality on the x-axis and a kind of log of maltreatment rates on the y-axis. The mean inequality in the United States is about 42 or three and so that happens to be right where this curve tends to tends to break if you will. There seems to be before that there seems to be a fairly linear relationship but there is a strong linear relationship overall but it’s very apparent in the low to medium levels of inequality then it sort of levels out a bit but still goes up after that. We found basically both linear and nonlinear effects and I don’t have time to go into a lot of possibilities around that but just to show you what the overall pattern looks like we looked at a number of hypotheses about why there is this curve issue in the data. And that’s kind of a talked about a bit in the paper if you’re interested. And then next is we looked at whether since poverty has been such an important predictor of maltreatment in a whole variety of studies, and we wanted to look at whether poverty levels in counties moderated the effect of any quality and what we found was that in high high poverty counties that is 30% or above child poverty the relationship between inequality and maltreatment was the highest. And then you have sort of mid-levels of poverty, 20% poverty and then lower levels of child poverty still a positive impact even at the low levels of poverty but you can see there’s a sort of there’s a significant interaction between poverty and inequality. So it’s sort of a double whammy in a sense if you’re and live in a if the child’s in a poor county and also there’s high levels of inequality the rates are highest in those counties. While that’s that sort of wraps up that’s just example I wanted to take that 10 or 15 minutes just to sort of dive into that little bit just to give you an idea of how we took data from a couple different sources and combined them so we could address what we thought was an important not only research question but a policy question as well. And there’s lots of other obviously things you can do and later in the series the folks leaving the series will talk about how you can combine for example AFCARS and NCANDS link AFCARS and NCANDS data or AFCARS and NYTD data to again boost the possibilities for a variety of questions that you might want to answer. So for my part to wrap up I want to just quickly say something about next steps for our archive. We will be developing more online tools for data exploration and analysis. For example with the AFCARS data we are building out some of those tools now so you could go online and ask some questions and produce some tables basic tables from the data and we’re still in conversation with Children’s Bureau about that before we can launch that online data analysis tool. So we hope to increase access to data increase its public its visibility if you will without so people who don’t have to actually get AFCARS data and loaded on their own computer. It will open up to a wider audience if you will if they have just certain basic questions about like a simple 2 x 2 table or something that they want from AFCARS they could run that themselves. We want to continue we always have to be aware what’s going on out there in the data archive world and there’s there’s always activity in that regard in terms of developing national and international standards for archiving data and things like metadata documentation and so forth so we try to be in step with what’s going on out there and work with folks to make sure that we’re at least trying to align ourselves with what recommendations there are from national and international bodies with regard to secondary analysis and data archiving. We always wants to expand our holdings we’re open to suggestions if you know of it data set that you’d love to get your hands on and it’s you think it’s a really good data set that we don’t have this child welfare data set you can always contact us and ask us about it and it may be something that is in the possession of an individual investigator or set of investigators that that are not archiving their data with us but we are happy to do some of that leg work if you want to contact us and and have that kind of conversation. And then again expand our virtual training opportunities like these that you’re sitting in today. We hope to do more of that and I thank the staff, I thank Erin in particular and Andres Arroyo for helping get these these kind of training opportunities organized and really glad we have a number of people signed on today. So I’m going to and there and leave plenty of time in case anyone has any questions that I could answer for that Erin could answer and so I’m going to turn it back to Erin at this point to kind of help moderate those question and answers. So thank you very much thanks for coming and enjoy the rest of your summer.
Yes thank you John very much for that presentation that is an overview of the archive and throughout the rest of the summer will be going in depth in our three administrative data sets. Yeah just open up so if anyone has a question please just type it into that chat box. All right so John has sent a question in saying have weights been added to the NYTD 2011 and 2014 and honestly I’m not sure but I can follow up with you. And I’m sure that that question will be answered in session 3 so so there seems to be a lot of interest in NYTD and so the NYTD session will be our third session next week were going to be doing NCANDS and will have AFCARS and NYTD and so in that session will be able to give you more information about that. We don’t have a training planned on the NSCAW data at this point but at the end of the summer series anyone who attended I’m going to send you the survey just asking for feedback. And so if you’d like to see a training on NSCAW that’s a really good place to put it in. That’s actually how we came up with the topic for this summer session was that people really enjoyed the NYTD one but wanted to know more about the other administrative data sets and how we could kind of leverage the linking capacities. So that would be great feedback for us. We’ve another question do you have any teams that that somebody can join and do good data analysis if writing is not their thing. So that’s I would really suggest using our listserv. So if you have research idea and you want to recruit people to work on it with you especially if at an institution where there might be less people focusing on child abuse and neglect or child welfare, so I’d suggest emailing out through that system. We have another question if we want to be part of an AFCARS users group to trade notes on how to do things like append data sets is there something already existing that we can join? Not that I’m aware of again I would use the listserv but I will write that feedback down because that might be a really good idea. Sounds like some people on the chat group should connect up. So the next question is the data that exists regarding why children are removed from their foster care placements appears to focus on adoption, reunification etc. but is there information available regarding experiences maltreatment in their foster placement? Again I’m not 100% sure, this session is just focused on the overview of the archive but in the third session again the AFCARS session it’s both AFCARS in NYTD will focus very specifically on on that data. And so that would be a good place to ask that question Michael Dineen would be the best person to answer that. Yeah I mean if there’s if you want answers before that too you could always send a question to the archive but you can always go online and look at the user guide and the codebook for AFCARS and you might get your question answered sooner if you want it sometime before the session. Yes and both the codebook and the user’s guide that are posted with the data on our website have been written by the archive and they’re pretty thorough so I definitely would suggest looking there thank you John. Has there been thought to merging AFCARS into a longitudinal file versus the time and point file now that we have the six month file? I don’t think so. But again that is a good idea so if you have any suggestions those are the type of things that we can take I mean I’m writing them down right now but also at the end when we send out our survey just a good area. Can you post the link to the listserv here in the chat I will but I’ll take a second so I’ll have to close out of the PowerPoint presentation. To better learn about NYTD and AFCARS should we download and review the data sets before attending session 3. I think if you’re interested in using them and you want to have a well-crafted questions you certainly can. But even before you you download data sets as John suggested I really think that’s the codebook and user’s guide that are written by the archive are very thorough and that would be a  really good kind of first place to look. And then come armed with questions but we also through our website which is also where the email listserv can be found we have an area where you can ask specific questions and so if you put a question through there we create a tickets and then we’ll make sure the best person is linked to answer it. And I’m giving the website broadly and then I’m going to put it into our chat. And this is also where the listserv will be located. And we also have information about the Summer Research Institute which is one of the services that we provide that John talked about which I think is a really fantastic opportunity. I know this session this summer’s session went really well and the general idea is that people have the data are familiar with the data and have started playing in it and then come in and we offer an intense support around the data and then also give people access to the Cornell statistical consulting center. And so that’s obviously it’s in the summer so that would be kind of a next summer plan but for people who are really interested in getting deep into the data that’s a really unique service that we offer. Yet both websites are now posted just our overall link to our website which has information about the data sets we also have videos so like for those who are interested in linking which is a later session we also already have a video and a PDF of how to do that so I really suggest checking out the resources there. Perfect so Andres just posted for the person who asked about NSCAW our user support section of the website has NSCAW specific information and posted that link. Okay seems like questions are wrapping up so I’ll just do a little preview of next week’s. Next week we have Kristen Stafford and Michael Dineen were going to be doing a presentation about the NCANDS data. And so we hope to see you then. And for the have the weights been added to the NYTD 2011 and 14 file the answer is yes and that was our presenter from week three who chimed in with our answer. And for Holly if you are having difficulty finding the videos I’m not sure which video you’re referring to but they we have videos that do the linking and then the majority of them are we have PDF so we have user guides and codebooks that are PDFs. So that might be what you’re referring to so if you go to our data and then click the individual data link it will have information about the data, a link for how you can asked download the data and then also the user’s guide and the codebook so I suggest diving in there. And just a big thank you again to John Eckenrode for being here and for Beth Claxon and Malcolm Hale for introducing us to this series. It’s been great our and I look forward to seeing you guys next week. The National Data Archive on Child Abuse and Neglect is a project of the Bronfenbrenner Center for Translational Research at Cornell University. Funding for NDACAN is provided by the Children's Bureau.