WEBVTT 1 00:00:36.690 --> 00:00:53.430 Amanda Stein: Oh, it's open, that's the open one, not the authors. Only one. Okay. 2 00:00:53.430 --> 00:01:18.610 Amanda Stein: Host. Disable participants screen sharing 3 00:01:18.860 --> 00:01:29.389 Amanda Stein: didn't really check before I answered. 4 00:01:30.160 --> 00:01:31.800 Amanda Stein: Provide 5 00:01:32.370 --> 00:01:36.020 Amanda Stein: screen sharing privileges 6 00:01:36.880 --> 00:01:58.010 Amanda Stein: or the zoom link on housing and security. 7 00:01:58.160 --> 00:02:09.670 Amanda Stein: We just submitted something to based on these analyses. But this is sort of an ongoing project. 8 00:02:37.690 --> 00:03:00.399 Amanda Stein: Did you become the screener? Why, became Rachel? That's who we want to be. The host 9 00:03:00.750 --> 00:03:25.159 Amanda Stein: like 10 00:03:54.630 --> 00:04:12.299 Amanda Stein: we also know that they are associated with homelessness. Family outcomes, negative outcomes ranging from social, emotional difficulties 11 00:04:12.300 --> 00:04:31.260 Amanda Stein: and thinking. We're taking a more homelessness, a lot of different research, including that network 12 00:04:37.620 --> 00:05:25.389 Amanda Stein: and at the same time really think about, how can this point to better understanding inequities for families who experience homelessness compared to those who have not potential predictors or contributing factors. So we really took that, how can we 13 00:05:25.390 --> 00:05:52.230 Amanda Stein: address 14 00:05:52.230 --> 00:06:05.730 Amanda Stein: dosage? 15 00:06:05.740 --> 00:06:30.119 Amanda Stein: We specifically looked at caregivership, quality and experience as well. So we thought, you know, what could be the buffering factor that could potentially increase. Maybe it's the relationships. And then 16 00:06:30.220 --> 00:06:36.849 Amanda Stein: I'm sorry about number 4. By the way, yeah, I apologize. 17 00:06:36.860 --> 00:06:45.690 Amanda Stein: Yeah. So those are the general ones we looked at. And we want to continue looking at associations with other family top characters. 18 00:07:14.010 --> 00:07:33.470 Amanda Stein: Interesting thing about the variable 19 00:07:33.470 --> 00:07:58.850 Amanda Stein: limitation. 20 00:07:59.040 --> 00:08:11.199 Amanda Stein: Well, it's not. It's interesting, because the way that the data are collected on the family survey is not the way that they are that. 21 00:08:11.670 --> 00:08:26.390 Amanda Stein: No, it's not within the data sense. So maybe this is where we like pull over an Fpg person dated like somebody managing their data because, frankly, we are supposed to do an annual 22 00:08:26.390 --> 00:08:49.610 Amanda Stein: parent interview, slash survey, because sometimes it gets done as the survey that asked these same 3 questions, 2 or 3, 2 questions, 2 questions about homelessness and housing and security. One is like in the last 12 months of view, urban, homeless. These are not the exact words. And then the next question. Next question is about level of worry or concern about it. If they say Yes, we've, you know, been on house or and or we've had 23 00:08:49.610 --> 00:09:10.499 Amanda Stein: a large level of worry about this, then it gets lapsed into this dichotomous variable that says yes, they were housing insecure, read either truly did not have housing, or were unhoused and recorded that, and or said that they had a high level of concern about becoming unhoused. 24 00:09:10.720 --> 00:09:38.270 Amanda Stein: Now, the other thing that's challenging in the way the data Sensor Bill is that even although that is asked potentially on an annual basis for every year that a child or family is enrolled in the program. They should be asked that question again. So presumably it should be time variant. The way it's in the data set is, it's not. It's like a if you ever answered that question. Yes, once, even if you were in the program for 4 years year, then 25 00:09:38.270 --> 00:09:58.649 Amanda Stein: you're always you're considered part of the in this analysis, if ever cause you're not always, but an if ever. So, it's like when they ever, at some point during their time you're in that data set is what I'm saying, regardless of whether you can come out of it. Yes, yes. You're then grouped into that group. It's not a data set. It's a group. 26 00:09:59.070 --> 00:10:24.700 Amanda Stein: Yeah. So I'm assuming somewhere in the data. I mean, when we're entering the data, we're entering it at 5 at a person at a family level on a annual basis. So it exists somewhere like that. 27 00:10:24.700 --> 00:10:47.720 Amanda Stein: like a point in time, language spoken, or something like that. 28 00:10:47.720 --> 00:11:14.809 Amanda Stein: Any who that's a limitation as is the fact that any this is likely an under count right? And it doesn't necessarily the way the questions are asked don't necessarily mess. I don't think they perfectly align with them. Mckinney vento. Definition of housing. 29 00:11:14.810 --> 00:11:18.010 Amanda Stein: you know. So so this is an under California. Yeah. 30 00:11:18.800 --> 00:11:40.109 Amanda Stein: which is the case for any data? So let me show you what we found, and just tell you the different measures that we use. So you can get a sense together. Really so. This was the sample. 14,000 children and families 31 00:11:40.500 --> 00:11:42.710 Amanda Stein: is something insecure and not 32 00:11:42.740 --> 00:12:05.799 Amanda Stein: when you break it down to just those who are homeless. It's about 900 something, I think. You'll see it in a minute. And we looked at homelessness, status, primary language, life, events so like significant life events, experienced food and security. 33 00:12:05.820 --> 00:12:07.970 Amanda Stein: Allison current status. 34 00:12:08.220 --> 00:12:32.470 Amanda Stein: language learners. And then for the school engagement families experiencing homelessness. That's the the relationship quality specifically from the Ft. Fetrq family provider into relationship quality services staff. 35 00:12:33.100 --> 00:12:53.899 Amanda Stein: And we pulled 4 specific questions from this measure, asking, you know, does family services. Staff encourage me to be involved sharing information about your parenting style, family culture 36 00:12:54.020 --> 00:13:10.540 Amanda Stein: my family services, judges my family financial situation. How often do they work with you to develop strategies that can be used at home to support your your child learning. 37 00:13:11.860 --> 00:13:12.790 Amanda Stein: This 38 00:13:13.370 --> 00:13:17.229 Amanda Stein: also speaks to an issue in the data set where 39 00:13:17.580 --> 00:13:28.859 Amanda Stein: we have data from 2,016 to 2023. But the questions were asked differently between 2016 and 18, and then from 18 to 23. 40 00:13:28.940 --> 00:13:32.540 Amanda Stein: So there was a point where 41 00:13:32.630 --> 00:13:50.999 Amanda Stein: the questions were broken up into 2 separate questions for those first 2 measure years, which means, since they were asking different things. Starting in 20 email. The the 2 separate parts were collapsed into one. So let me give you an example. You can see in that green box. 42 00:13:51.000 --> 00:14:11.010 Amanda Stein: The question was separate. First part was, A family services worker encourages me to be involved in all aspects. He or she shows that they care about my family. That was in 2,01628, 43 00:14:11.070 --> 00:14:12.390 Amanda Stein: and then.