1 00:00:01,710 --> 00:00:31,430 Hi, we at Homer have created a tool called the Illinois School District report card data comparison tool that allows assessment of various Illinois school report card measures metrics and shows them in context of all the other schools and or districts in the state to kind of understand how you stack up. Whether you're a school or district with other school districts in the state. So to access this, please start at the Homer schools website. 2 00:00:31,430 --> 00:00:39,490 that's www.Homerschools.org. Again, www.Homerschools.org, and that will bring you to essentially this site here. 3 00:00:40,010 --> 00:00:46,410 Then from the top, under our district, click on the Illinois School Report Card Data Comparison Tool, 4 00:00:47,190 --> 00:00:51,770 and eventually that will load, and you should get to a page that looks like this. 5 00:00:52,530 --> 00:00:59,090 So the current version of the tool is version 28. You'll see the version numbers will increment when accessing them from this site. 6 00:00:59,930 --> 00:01:05,770 Occasionally the site is actually a little bit overloaded, and when that happens, we've 7 00:01:05,770 --> 00:01:10,070 been trying to find a place to mirror the site as well, so we may mirror it someplace 8 00:01:10,070 --> 00:01:12,390 else, may give you additional links at some point. 9 00:01:12,990 --> 00:01:16,630 But for the most part, that's how you get access to the website. 10 00:01:16,930 --> 00:01:20,430 So once there, you have a number of choices. 11 00:01:20,610 --> 00:01:24,090 So the first thing we want to look at is the different metrics that are available and I'll 12 00:01:24,090 --> 00:01:24,830 just go over them quickly. 13 00:01:24,830 --> 00:01:41,110 So we have from the metrics pull down here, we have ELA proficiency, math proficiency, growth, ELA growth and math growth for both the IAR, as well as high school assessment, which for this year 2025 happens to be the ACT. 14 00:01:41,790 --> 00:01:54,810 And then in addition to those, we also have the composite index scores, which are the actual scores that the state calculates that determines whether or not you would be a commendable exemplary or targeted. 15 00:01:54,810 --> 00:01:59,430 or other indicator in terms of higher school fairs 16 00:01:59,430 --> 00:02:02,850 in terms of a designation, a summative designation. 17 00:02:04,090 --> 00:02:05,930 Right now we're looking at ELA proficiency. 18 00:02:06,430 --> 00:02:09,390 We currently have three years of data, 2025, 2024, 19 00:02:09,850 --> 00:02:12,510 and 2023 in the, in the cycle. 20 00:02:13,370 --> 00:02:15,550 And then we have a couple of options for entities 21 00:02:15,550 --> 00:02:17,670 so we can look at things in terms of either districts 22 00:02:17,670 --> 00:02:19,890 or schools, we'll get into the details a little bit later. 23 00:02:20,450 --> 00:02:22,930 And then these checkboxes at the bottom are essentially filters. 24 00:02:22,930 --> 00:02:31,890 So by default, they're all turned on, so we would be seeing all districts that are marked as elementary districts, high school districts, unit districts, and then other. 25 00:02:32,530 --> 00:02:41,410 In other, there's only a few of those and essentially we're talking about things like the Illinois Math and Science Academy, the University of Illinois Lab School. 26 00:02:41,950 --> 00:02:45,690 I think there's a small number of entities that in this case fall under other. 27 00:02:45,690 --> 00:02:51,950 and then the other the other filter here has to do with locations so by default we have all counties turned on 28 00:02:51,950 --> 00:02:58,370 which is a superset of will county and cook in the color counties. If we turn off all counties for instance by clicking on that 29 00:02:58,370 --> 00:03:05,410 then we can still filter out by will county or cooking the other colors we can turn off will county which would then just give us 30 00:03:05,410 --> 00:03:10,430 cook county and the other colors aside from will or we turn everything off in which case we have no entries. 31 00:03:10,430 --> 00:03:16,090 So, since Homer isn't at Will County, this was an interesting filter to us, and then 32 00:03:16,090 --> 00:03:20,010 also our neighboring counties that we basically see as cook in the other 33 00:03:20,010 --> 00:03:25,190 colors, and then including Will, so that's kind of this, you know, Chicago's 34 00:03:25,870 --> 00:03:30,790 surrounding area that we use. If we turn those off, then basically we see all the 35 00:03:30,790 --> 00:03:36,250 districts or entities that would be in other counties throughout the state. 36 00:03:36,510 --> 00:03:40,370 I'm sorry, all counties throughout the state, so it doesn't matter, these are 37 00:03:40,370 --> 00:03:44,830 on or off at this particular point when all counties are turned on because that overrides 38 00:03:44,830 --> 00:03:45,790 and shows everybody. 39 00:03:47,090 --> 00:03:52,590 Underneath that, we have the highlight district pull down menu and in this case, by default, 40 00:03:52,750 --> 00:03:58,830 when we first load the page, it will go to Homer Glenn, Homer 33c, that's us. 41 00:04:00,090 --> 00:04:05,970 And that actually highlights our location, whatever district you pick in the grid so you can 42 00:04:05,970 --> 00:04:07,150 see as I scroll down the grid. 43 00:04:07,150 --> 00:04:10,730 There's Homer CCSD-33C looking at ELA proficiency. 44 00:04:11,370 --> 00:04:15,690 You can see that our actual proficiency percentage over here is 77.3%. 45 00:04:16,310 --> 00:04:21,570 If you rank these items in order in the grid that's shown, so this is a calculated number 46 00:04:21,570 --> 00:04:25,050 based on the entities that are shown here, there's 858 entities. 47 00:04:25,790 --> 00:04:32,550 In this list of 858 entities, that puts us at the 92nd percentile in terms of ELA proficiency 48 00:04:32,550 --> 00:04:36,890 for essentially all of the districts in the state of Illinois. 49 00:04:38,490 --> 00:04:41,130 That's how you can interpret this percentile rank. 50 00:04:41,230 --> 00:04:43,330 It's calculated on the fly, it doesn't come from data, 51 00:04:43,750 --> 00:04:47,630 and it's based on only what's actually in this grid of districts here. 52 00:04:48,230 --> 00:04:52,370 So if we were to minimize the number of districts we're comparing against, 53 00:04:52,510 --> 00:04:54,550 so right now again we're looking at all districts in the state, 54 00:04:54,650 --> 00:04:58,730 you can see 858 rows, 858 different districts are shown in this list. 55 00:04:58,730 --> 00:05:04,890 If we were to take that off and just look at, for instance, school districts and will, 56 00:05:05,450 --> 00:05:10,510 then our ELA proficiency ranking goes up to the 96 percentile. 57 00:05:10,990 --> 00:05:15,290 And you can see that we're only behind Frankfurt in this particular case in terms of 58 00:05:15,290 --> 00:05:22,570 will county only school districts, whether they be elementary or unit schools or high school districts. 59 00:05:22,570 --> 00:05:26,050 You can see the different school types in this section over here. 60 00:05:27,610 --> 00:05:29,910 So that's what the various filters do. 61 00:05:30,190 --> 00:05:33,490 So turning all this back on, let's just talk about the actual metrics here. 62 00:05:34,490 --> 00:05:37,630 So when you're looking at one of the metrics, whatever it happens to be, 63 00:05:37,890 --> 00:05:41,130 the results of that particular filtering 64 00:05:41,950 --> 00:05:45,270 for that metric is displayed in the table at the bottom. 65 00:05:45,450 --> 00:05:47,670 You can see the metric is over here in the far right column, 66 00:05:48,030 --> 00:05:50,910 along with the bar graph that kind of shows you how they stack up 67 00:05:52,470 --> 00:05:53,990 and from top to bottom. 68 00:05:53,990 --> 00:05:55,770 Now this table is actually 69 00:05:56,610 --> 00:06:02,210 Sortable so you might have noticed accidentally clicked on the LA proficiency, which immediately changed the sort order from 70 00:06:02,210 --> 00:06:06,070 Highest to lowest to lowest highest and click on it again to change that 71 00:06:06,070 --> 00:06:12,790 I can also change things based on for instance enrollment if I wanted to see the highest enrolled district 72 00:06:12,790 --> 00:06:16,110 So there's you know cps followed by sd 73 00:06:16,710 --> 00:06:21,470 You 46 you can kind of see how the enrollment of the districts is sortable here 74 00:06:22,350 --> 00:06:26,990 counties as well if I wanted to say everything just in Adams County. For instance 75 00:06:26,990 --> 00:06:31,370 they're the hour right there, the top ones. District type so I can sort by unit 76 00:06:31,370 --> 00:06:37,490 district going down through elementary and then probably in the middle here. There's 77 00:06:37,490 --> 00:06:40,770 high school districts and then there's the few others that we were talking about 78 00:06:40,770 --> 00:06:46,590 before that fall into a different category themselves. Obviously year for 79 00:06:46,590 --> 00:06:51,190 this particular case is going to be L 2025 so there's no reason to sort. It's 80 00:06:51,190 --> 00:06:52,250 It's all going to be the same. 81 00:06:52,710 --> 00:06:57,010 The one thing I should mention about the sorting as well is it builds upon itself. 82 00:06:57,210 --> 00:07:01,630 So if I were to sort for instance by ELA proficiency highest to lowest, and then I were to 83 00:07:01,630 --> 00:07:07,990 sort by for instance county, then I can see my highest to lowest in Adams County because 84 00:07:07,990 --> 00:07:09,230 of the order that I did it in. 85 00:07:09,650 --> 00:07:13,870 So with the Adams to county, those are the one, two, three, four, five school districts, 86 00:07:14,230 --> 00:07:17,850 and you can see how they rank highest to lowest in terms of ELA proficiency. 87 00:07:17,850 --> 00:07:25,450 see. Same for any other county, so here's Boone County, right? Just looking through this and we 88 00:07:25,450 --> 00:07:31,930 should be getting. I'm sorry, there's Boone County. There we go. Highest to lowest and then here's 89 00:07:31,930 --> 00:07:35,890 Bureau County. Apparently there's more schools in Bureau County. I don't know my counties that well, 90 00:07:36,070 --> 00:07:40,770 but you can see how it all goes highest to lowest. So if you wanted to do a kind of staggered sorting 91 00:07:40,770 --> 00:07:45,510 or want to top of another, pick the first area you want to sort by and then pick the second. So if I 92 00:07:45,510 --> 00:07:51,190 want to do see all the how the low income percentages stack up for all the 93 00:07:51,190 --> 00:07:55,090 districts in Bureau County. I can click on low income first and then sort by 94 00:07:55,090 --> 00:07:59,870 county second and then within Bureau right here, there's Bureau, there's my 95 00:08:00,930 --> 00:08:06,690 low income percentages from highest to lowest 80 down to 26.32 and then you can 96 00:08:06,690 --> 00:08:11,350 also see the the various ELA proficiency metrics that are tied with each of 97 00:08:11,350 --> 00:08:15,010 those over here on the right. So that's one way to use the sorting abilities 98 00:08:15,010 --> 00:08:19,170 within the grid. Again, by default, it shows up with ELAPE or the 99 00:08:19,170 --> 00:08:23,150 proficiency, whatever the metric is, sorted highest to lowest. And the other thing I 100 00:08:23,150 --> 00:08:26,290 should mention is you'll notice the percentile rank is calculated, but it 101 00:08:26,290 --> 00:08:30,170 follows the sort. So it's calculated once and it doesn't change on the sort. So if 102 00:08:30,170 --> 00:08:35,770 I change the low income rankings here, right, you see that the percentile 103 00:08:35,770 --> 00:08:42,390 rank is no longer, it's no longer sorted the way it was before. It's not like 104 00:08:42,390 --> 00:08:46,970 the top item is always going to be the 100 percent. It's showing the percentile rank as it was in 105 00:08:46,970 --> 00:08:52,090 that first list when we first pulled up the screen, which is in this particular order here by 106 00:08:52,090 --> 00:08:57,050 ELA proficiency. So the other piece I should mention is that when you're looking at a district like 107 00:08:57,050 --> 00:09:02,610 Homer CCSD-33C here, we have this histogram up at the top, which you can turn on and off with this 108 00:09:02,610 --> 00:09:07,030 little button here. If you don't want it, you can turn it off or turn it back on. By default, it will 109 00:09:07,030 --> 00:09:10,030 I will show all of the items ranked in terms of frequency, 110 00:09:10,450 --> 00:09:12,850 how many appear in each of these bands 111 00:09:12,850 --> 00:09:15,290 in terms of ELA proficiency, 112 00:09:15,910 --> 00:09:17,010 and this is the number of districts. 113 00:09:17,270 --> 00:09:18,810 So the height of the bar is the number of districts. 114 00:09:19,610 --> 00:09:21,830 And then I have the average mark on the histogram 115 00:09:21,830 --> 00:09:25,130 to give you an idea where the central tendency of that histogram is. 116 00:09:25,470 --> 00:09:28,170 54.16 in this particular case, 117 00:09:28,570 --> 00:09:31,810 for basically everybody that isn't in cooker or collar county, 118 00:09:31,970 --> 00:09:33,290 so all counties in Wilk County. 119 00:09:34,190 --> 00:09:35,330 I'm sorry, all counties. 120 00:09:35,330 --> 00:09:42,270 I should say all counties overrides everything and then where that particular selected district is in this case the highlighted 121 00:09:42,270 --> 00:09:50,650 District is 77.3 and if we scroll down the list here to 77.3 you can see there it is right there and it allows you to 122 00:09:50,650 --> 00:09:57,450 compare see who's right above you next to you above and below to kind of give you an idea of how you relate and then the 123 00:09:57,450 --> 00:10:03,570 gap here between the average and where you're actually at gives a good idea in terms of how maybe you're 124 00:10:03,570 --> 00:10:08,050 fairing in terms of the overall state average of districts. 125 00:10:09,370 --> 00:10:12,790 So that's ELA proficiency at the district level. 126 00:10:14,130 --> 00:10:18,730 The other metrics that we have in here, math proficiency, same situation. 127 00:10:19,310 --> 00:10:23,370 One thing you probably noticed is that when we changed from ELA proficiency here, looking 128 00:10:23,370 --> 00:10:27,910 at the histogram to math proficiency, you'll notice how it slid far to the left. 129 00:10:28,470 --> 00:10:32,750 That's because overall the district is a little bit, the state is a little bit lower in terms 130 00:10:32,750 --> 00:10:38,470 a math proficiency, the NELA proficiency. And what's interesting even more is that this is with the 131 00:10:38,470 --> 00:10:46,990 new cut scores and the new proficiency level benchmarks that came in for 2025. So if we look at 132 00:10:46,990 --> 00:10:51,950 2024 to get an idea of how things used to look, for instance, noticed that math was even further 133 00:10:51,950 --> 00:10:58,570 skewed to the left than it was for 2025 when they kind of eased up on the benchmark cut points 134 00:10:58,570 --> 00:11:03,170 for proficiency and the same is true for ELA if we looked at ELA for 2025 135 00:11:03,170 --> 00:11:08,510 versus 2024. You'll notice that the entire histogram skews significantly to 136 00:11:08,510 --> 00:11:13,310 the left for 2024 and it's not that different for 2023 it even goes a little bit 137 00:11:13,310 --> 00:11:19,290 further left but it's closer to 2024 than it is for 2025 which 138 00:11:19,290 --> 00:11:24,190 you jump significantly over to the right. In other words more districts are 139 00:11:24,190 --> 00:11:30,270 proficient in 2025 under the new cut points then they were in 2024 using the older ones, 140 00:11:30,270 --> 00:11:36,090 which makes sense. That was the purpose of the change. That would be true for any of the metrics 141 00:11:36,090 --> 00:11:42,890 that we basically use. Growth metrics as well. So here is IAR, HLA growth. So this is not high school 142 00:11:43,510 --> 00:11:49,070 high school metric. This is an elementary metric because it's only IAR. And you can see LLA growth 143 00:11:49,070 --> 00:11:53,690 and then kind of where the selected district shows that's the green bar and you can see it matches 144 00:11:53,690 --> 00:11:59,430 is down here, so there's the 62.8%. And always keep in context how many schools we're comparing 145 00:11:59,430 --> 00:12:05,810 against, they're looking at their 762 items in this particular list. And in this case, just for 146 00:12:05,810 --> 00:12:13,010 Homer, it's 18th out of 7.62. If we were going to look at, for instance, 2024, we still have 147 00:12:13,010 --> 00:12:20,250 an IAR growth metric. For 2023, however, we come up with zero because the data files from 2023 148 00:12:20,250 --> 00:12:28,530 three did not provide a ELA IR growth metric and a previous version of this tool I had incorporated 149 00:12:29,250 --> 00:12:35,450 the growth metric file that the state had provided on their website to try and basically 150 00:12:35,450 --> 00:12:42,110 figure this in. However, I have since found some concerns with the various growth files 151 00:12:42,110 --> 00:12:48,130 that were provided. So I decided just to work with the data that comes from the actual data 152 00:12:48,130 --> 00:12:52,270 data files that are supposed to mirror the Illinois Interactive Report Card data that 153 00:12:52,270 --> 00:12:53,410 are found on the website. 154 00:12:54,210 --> 00:12:58,490 So right now there is no growth data for 2023 at the district level for sure. 155 00:12:59,070 --> 00:13:00,670 So we have it for 2024, 2025. 156 00:13:00,930 --> 00:13:04,850 So if you ever run into a situation where something's missing, it's likely that that data wasn't 157 00:13:04,850 --> 00:13:07,350 in the main data files for that purpose. 158 00:13:08,050 --> 00:13:08,630 So there's growth. 159 00:13:08,890 --> 00:13:11,250 By the way, these are both cohort growth and baseline growth. 160 00:13:11,490 --> 00:13:12,910 There's two options in terms of growth. 161 00:13:12,910 --> 00:13:19,490 and the information that's reported on the IRC website is generally cohort growth, not baseline growth, 162 00:13:19,890 --> 00:13:23,690 but you can find the baseline growth numbers if you want. Again, it's in those other data files 163 00:13:23,690 --> 00:13:30,070 that I mentioned that are available on the state website. But I didn't incorporate those because 164 00:13:30,070 --> 00:13:36,030 of some complications that I found with them. So that's IR growth. We have the same thing for high 165 00:13:36,030 --> 00:13:42,050 school. In this case we only have 2025 data. If we go back to 2024 that was actually the SAT 166 00:13:42,050 --> 00:13:47,830 and at the ACT and the data that was provided at the time did not include growth benchmark 167 00:13:47,830 --> 00:13:52,710 for those schools. So it's not there. So the growth benchmarks are only there for 2025 for high 168 00:13:52,710 --> 00:13:58,930 school as opposed to some previous years for IAR benchmarks. The other thing I should mention 169 00:13:58,930 --> 00:14:04,710 is going back to the proficiency scores. So these are the overall ELA proficiency scores in terms of 170 00:14:04,710 --> 00:14:09,670 how the state categorizes or counts, all ELA proficiency. 171 00:14:09,990 --> 00:14:12,150 So in the case of the typical elementary school district, 172 00:14:12,670 --> 00:14:14,650 this would include high R proficiency 173 00:14:14,650 --> 00:14:16,570 as well as DLM proficiency. 174 00:14:17,110 --> 00:14:19,170 And then those are factored in and weighted 175 00:14:19,170 --> 00:14:21,610 to give you the overall ELA proficiency. 176 00:14:21,850 --> 00:14:22,950 So that's what we're looking at here. 177 00:14:23,550 --> 00:14:26,090 It's a combination combined proficiency 178 00:14:26,090 --> 00:14:27,990 against whatever tests they're used to measure that. 179 00:14:28,310 --> 00:14:32,330 It's not specific to just IAR or ACT for instance. 180 00:14:32,330 --> 00:14:38,990 it includes both of them. So the other score that's available on this in this 181 00:14:38,990 --> 00:14:45,970 tool is the composite index score. So in terms of a composite index score, they 182 00:14:45,970 --> 00:14:49,610 only exist at the school level so we have to change our entity type instead of 183 00:14:49,610 --> 00:14:53,990 looking at districts into schools. And the composite index score is actually that 184 00:14:53,990 --> 00:14:59,970 score which then equates to a particular designation, the exemplary commendable 185 00:15:01,780 --> 00:15:29,240 The composite index score is not available in the main IR data files. For our purposes, it had to actually be obtained via FOIA from the state, but they were actually obliging enough to provide that information. So that's how this information guide in here. It's based on some data files that we were able to obtain from the state. And you can see that, again, the percentile rank is not given. 186 00:15:29,240 --> 00:15:31,960 and it's calculated based on the data that's in this grid. 187 00:15:32,960 --> 00:15:34,960 So looking through, for instance, the exemplary, 188 00:15:34,980 --> 00:15:37,040 now we're looking at composite index scores, 189 00:15:38,180 --> 00:15:40,020 schools only, and this is for elementary. 190 00:15:40,300 --> 00:15:43,240 So this is essentially the elementary score, 191 00:15:43,320 --> 00:15:44,060 not for high schools. 192 00:15:44,780 --> 00:15:46,820 But looking through the list, you can see that these, 193 00:15:46,920 --> 00:15:49,000 so these are all your comparison schools, right? 194 00:15:49,120 --> 00:15:50,480 And then the composite index score. 195 00:15:50,600 --> 00:15:52,120 So these are the scores over here on the right, 196 00:15:52,620 --> 00:15:56,320 the 98.47, the ES index score, elementary school index score. 197 00:15:56,620 --> 00:15:57,980 And then this is the percentile rank 198 00:15:57,980 --> 00:16:01,160 if you actually use that formula to get a percentile rank for these. 199 00:16:03,040 --> 00:16:07,620 So going through, you can see, well, there's our particular, that's our junior high, right 200 00:16:07,620 --> 00:16:12,360 there, our own junior high, which we're very proud of, it's a relatively well ranked 201 00:16:12,360 --> 00:16:12,740 school. 202 00:16:13,120 --> 00:16:18,280 And then if we continue on, though, looking through exemplaries, going down to, for instance, 203 00:16:20,160 --> 00:16:22,360 where we basically change to commendable. 204 00:16:22,360 --> 00:16:29,040 So, in my calculations, as soon as we hit 90, that's where we basically wind up with 205 00:16:29,040 --> 00:16:32,200 our first commendable designation in schools. 206 00:16:33,480 --> 00:16:40,860 Arguably, the calculation should possibly have been under 90, but the way that the formula 207 00:16:40,860 --> 00:16:45,180 is working for me right now, at 90, basically is where we have that break. 208 00:16:46,300 --> 00:16:48,580 So that's how these two things equate. 209 00:16:48,580 --> 00:16:51,420 The exemplary and the commendable are not calculated. 210 00:16:51,640 --> 00:16:53,200 Those have been given to us by ISB. 211 00:16:53,880 --> 00:16:56,380 And then this percentile rank score, however, 212 00:16:56,600 --> 00:16:59,220 is calculated from the items that appear in this list. 213 00:16:59,860 --> 00:17:03,500 And all of these scores as well as these, 214 00:17:03,500 --> 00:17:06,100 I'm sorry, these designations as well as these scores 215 00:17:06,100 --> 00:17:08,540 were all obtained basically by FOIA 216 00:17:08,540 --> 00:17:10,760 from the Illinois State Board of Education. 217 00:17:12,020 --> 00:17:14,460 So looking through, you can basically get an idea 218 00:17:14,460 --> 00:17:17,320 of how a particular school or district ranks. 219 00:17:17,920 --> 00:17:21,640 I'm sorry, it wouldn't be a district because index scores are only available for schools. 220 00:17:22,200 --> 00:17:24,480 But a school ranks in comparison to other schools. 221 00:17:25,120 --> 00:17:28,520 And in this particular case, these would be all of the comparable schools, right? 222 00:17:28,600 --> 00:17:31,740 All of the schools that you actually were ranked against to come up with a designation. 223 00:17:32,440 --> 00:17:37,380 And there are 3,049 items in this particular data table. 224 00:17:37,960 --> 00:17:43,640 In, for instance, right now, once we change our entity type to schools, we get a new little 225 00:17:43,640 --> 00:17:46,960 option over here where it's a selected school and you can see right now we have 226 00:17:46,960 --> 00:17:51,800 homer junior high selected and that's actually why homer junior high I'm 227 00:17:51,800 --> 00:17:56,720 sorry on my list here it is not only highlighted but highlighted in red with 228 00:17:56,720 --> 00:18:02,540 red writing for the words. Our other district schools because the highlight 229 00:18:02,540 --> 00:18:06,720 district is still set for home of 33 C. Our other district schools are also 230 00:18:06,720 --> 00:18:09,340 highlighted but they don't have the red letters and they have a slightly 231 00:18:09,340 --> 00:18:12,780 different shade of green so as you're scrolling through this list you can find 232 00:18:12,780 --> 00:18:16,600 other schools that are in your district so you can see exactly where they jump out and rank 233 00:18:16,600 --> 00:18:22,780 is compared to others but the one that's currently highlighted and shown is this one here 234 00:18:24,760 --> 00:18:30,320 and that one will always have the red letters associated with it right there and also that particular 235 00:18:30,320 --> 00:18:34,460 school is the one that's reflected in the histogram and again this histogram is showing a 236 00:18:34,460 --> 00:18:39,680 representation of what's in the data table beneath and you can see the 88.73 there's our composite 237 00:18:39,680 --> 00:18:44,800 at index score at 30.73 matches, what's in the histogram here, and the average across 238 00:18:44,800 --> 00:18:50,380 all schools is 64.89, so it gives you an idea of how far you're deviating from the average, 239 00:18:50,380 --> 00:18:58,640 essentially, for a particular index score and school. So the school composite index scores are there. 240 00:18:59,200 --> 00:19:03,740 High school composite index scores are also available here. What's interesting is that, 241 00:19:03,740 --> 00:19:10,340 they point this out. For elementary schools, you would think that high schools would be excluded, 242 00:19:10,520 --> 00:19:15,460 but if we pull off unfiltered elementary districts, for instance, when we're looking at 243 00:19:15,460 --> 00:19:19,260 the elementary school index scores, and we turn off, I'm sorry, not elementary districts, 244 00:19:19,780 --> 00:19:25,080 let's turn off elementary school, and let's turn off mid-June high school, and we're left with 245 00:19:25,080 --> 00:19:33,140 a list of high schools that actually fall into our ranking for index scores, which is interesting. 246 00:19:33,140 --> 00:19:38,420 The reason for it is if you look at the grade bands for these schools, 6, 12, 7, 12, 6, 12, 247 00:19:38,580 --> 00:19:43,040 PK through 12, what it basically means is they have grade levels that are both elementary, 248 00:19:43,500 --> 00:19:48,140 up to eighth grade, and then they have grade levels in that same building that go 9, 10, 11, and 12. 249 00:19:49,280 --> 00:19:55,880 So there's actually two actual separate index scores that exist for each of these schools. 250 00:19:56,520 --> 00:20:01,280 Everybody in this list actually has two. On the Illinois Interactive Report Card website, 251 00:20:01,280 --> 00:20:04,820 that you won't see the one that represents their elementary ranking. 252 00:20:05,080 --> 00:20:08,240 You'll only see the one that represents their high school ranking, 253 00:20:08,560 --> 00:20:10,180 which is an interesting thing. 254 00:20:10,820 --> 00:20:13,840 So for instance, let's say we're looking at this one at 255 00:20:13,840 --> 00:20:14,860 Wood Middle High School, right? 256 00:20:15,440 --> 00:20:18,960 That one has a 68.06, but if we were to, for instance, 257 00:20:18,960 --> 00:20:23,260 pull up the Illinois Interactive Report card. 258 00:20:24,360 --> 00:20:29,080 And let me grab that school name again, this one right here. 259 00:20:29,640 --> 00:20:32,680 And we were to pull that up and look and 260 00:20:35,460 --> 00:20:36,240 all 261 00:20:43,060 --> 00:20:45,160 would little high school there it is. 262 00:20:47,440 --> 00:20:52,400 What we'll see is if we go into the summative designation, we'll see an 89.22. 263 00:20:52,980 --> 00:21:00,080 But if we go back to the report card, we have a 68.06 when we're looking at it in terms of elementary rankings. 264 00:21:00,740 --> 00:21:04,900 So they only show the high school index score, the 89.22. 265 00:21:04,900 --> 00:21:16,560 I haven't been able to find the other one anywhere in here in terms of the elementary ranking for this particular school. I was unable to find that. I don't think they're there. 266 00:21:18,280 --> 00:21:26,280 So to verify that this is correct, however, if we go into the high school rankings 89.22. So if we go up here and change it to high school, 267 00:21:27,020 --> 00:21:32,480 And then we find that same school, right, which actually is still highlighted. 268 00:21:32,480 --> 00:21:37,100 There it is right there, and then I move this up so I can scroll over a little bit. 269 00:21:37,980 --> 00:21:39,420 There is our 89.22. 270 00:21:39,820 --> 00:21:45,280 So that composite index score is actually the high school only version of this, and then 271 00:21:45,280 --> 00:21:50,700 the elementary school version is the other number, which is interesting, and I don't think most 272 00:21:50,700 --> 00:21:52,660 people are aware of the fact that there's two of them. 273 00:21:52,660 --> 00:21:55,400 and when schools are ranked one against the other, 274 00:21:55,640 --> 00:21:58,180 they're actually included depending on which grade levels 275 00:21:58,180 --> 00:22:00,280 of particular school services. 276 00:22:00,880 --> 00:22:04,360 So, the last piece I'd like to kind of go over here 277 00:22:04,360 --> 00:22:06,900 is again, ELA proficiency. 278 00:22:07,480 --> 00:22:09,020 So oftentimes the question comes, 279 00:22:09,360 --> 00:22:11,460 and let's just go back to our district again, 280 00:22:11,580 --> 00:22:12,340 Homer, for instance. 281 00:22:14,700 --> 00:22:15,780 Homer, where are you? 282 00:22:16,680 --> 00:22:19,740 Homer, do do do do do, minus not seeing it. 283 00:22:20,180 --> 00:22:21,860 Oh, because I'm still looking at high schools. 284 00:22:22,660 --> 00:22:23,880 Let's turn all these back on. 285 00:22:30,810 --> 00:22:34,750 There we go. And now we'll find Homer and 286 00:22:37,050 --> 00:22:39,490 if we're now looking at 287 00:22:39,490 --> 00:22:43,750 Homer schools, we have our let's look at the junior high, that'll be the main highlighted one. 288 00:22:44,250 --> 00:22:52,210 So you can see our junior high is essentially at 85% for ELA proficiency, which is pretty darn good. 289 00:22:52,330 --> 00:22:59,550 It's up here near the top of schools in the area. However, you always wonder well. 290 00:23:00,530 --> 00:23:04,650 How does that really compare, like are we okay, are we doing okay, that's a very difficult 291 00:23:04,650 --> 00:23:05,530 question to answer. 292 00:23:06,250 --> 00:23:10,130 And I'm not saying that this is the end all be all answered to the question, but it's 293 00:23:10,130 --> 00:23:17,330 often times interesting to look at what arguably is the most correlating indicator, which I found 294 00:23:17,330 --> 00:23:20,870 to be the low income amounts for a particular building. 295 00:23:21,470 --> 00:23:26,750 So if you click this little disclosure triangle about the low income comparison filter, what 296 00:23:26,750 --> 00:23:31,310 What you'll see is basically a graph, a scatter plot, of all the data points that are shown 297 00:23:31,310 --> 00:23:38,770 in the table below, so 3,406 scatter points in this plot right here, along with a line 298 00:23:38,770 --> 00:23:42,970 of best fit or a rational line that's kind of put across them, and we're looking basically 299 00:23:42,970 --> 00:23:47,830 a low income across the x-axis, and a percent ELA proficiency or whatever metric we picked 300 00:23:47,830 --> 00:23:50,350 here on the left across the y-axis. 301 00:23:51,010 --> 00:23:53,710 And we have a couple of relevant metrics here. 302 00:23:53,710 --> 00:24:00,490 So we have an r, which is a correlation of the two metrics to each other, of 0.77, which 303 00:24:00,490 --> 00:24:01,510 is pretty good. 304 00:24:01,590 --> 00:24:07,310 A 1.0 would be a perfect correlation, and a 0 would be a no-correlation at all. 305 00:24:07,910 --> 00:24:14,050 And then negative 1.0 would be a perfect correlation, but in the opposite direction instead of decreasing 306 00:24:14,050 --> 00:24:16,470 like this one, on this graph it would be increasing. 307 00:24:16,670 --> 00:24:21,970 So a 0.77 is pretty good, and then the r squared, which is the 0.6, kind of gives you an idea 308 00:24:21,970 --> 00:24:25,710 of how much of the variance between scores 309 00:24:25,710 --> 00:24:27,910 can be attributed to this particular factor. 310 00:24:28,490 --> 00:24:31,650 So about 60% of the variance could be attributed 311 00:24:31,650 --> 00:24:32,250 to this factor. 312 00:24:32,390 --> 00:24:34,750 So by no means is this the perfect metric, 313 00:24:35,110 --> 00:24:37,790 but it does seem to be about the closest one 314 00:24:37,790 --> 00:24:41,170 in terms of trying to find some way to gauge 315 00:24:42,230 --> 00:24:44,330 where districts should be in comparison 316 00:24:44,330 --> 00:24:46,830 to other districts on a similar metric, right? 317 00:24:47,170 --> 00:24:49,110 So that's why this comparison filter was built. 318 00:24:49,370 --> 00:24:50,850 So this is the explanation. 319 00:24:50,850 --> 00:24:54,650 and this is a live graph by the way if we were to change things like for instance take off 320 00:24:56,010 --> 00:24:59,930 high school districts because we're just an elementary district so let's say we were to take off 321 00:24:59,930 --> 00:25:06,550 all high schools right you'll notice that the plots change now we're only a 2800 and actually 322 00:25:06,550 --> 00:25:13,390 our correlation you know went up a little bit to 0.786 sorry 0.78 and 0.61 on the R squared so it's 323 00:25:13,390 --> 00:25:20,050 even a little bit better now if we want to actually use that to kind of see how we rank with our 324 00:25:20,050 --> 00:25:25,230 a peer group that would be a low-income comparison peer group. If you just click this checkbox here, 325 00:25:25,930 --> 00:25:32,530 it immediately pulls out all of the districts except those that actually fall into a low-income 326 00:25:32,530 --> 00:25:38,770 category, above or beneath us, by essentially 14 on top, 14 on the bottom, so 29 total entries. 327 00:25:39,090 --> 00:25:43,210 We have 29 rows here, so we're trying to be the median in terms of low income, 328 00:25:43,990 --> 00:25:48,670 and then we're looking to see where we fall in that peer group. So in this particular case, out 329 00:25:48,670 --> 00:25:54,950 of 29 rows we're kind of falling in eighth and you can see that we just scroll us up a little bit 330 00:25:55,550 --> 00:26:00,970 that in general you know we're we're we're right up there within five points of essentially the 331 00:26:00,970 --> 00:26:06,490 highest and it goes down to the 60% here down the lower side. You can also see the representation 332 00:26:06,490 --> 00:26:11,430 here in the histogram at the top kind of where the average is and how we're on to the side 333 00:26:11,430 --> 00:26:18,410 to the high side of the average. Again not a perfect correlation but it's a good a good way 334 00:26:18,410 --> 00:26:21,990 to get an idea of whether you're kind of doing an average, 335 00:26:22,090 --> 00:26:24,590 what everybody else is doing, or whether it may be a little bit above 336 00:26:24,590 --> 00:26:26,550 in a particular building, or maybe a little bit below, 337 00:26:27,050 --> 00:26:31,110 what a similar peer group based on low income would actually be. 338 00:26:31,790 --> 00:26:36,110 So to sort by low income, you'll see that that puts us right into the middle. 339 00:26:36,230 --> 00:26:39,070 Again, we're trying to be the median in this list of peers, 340 00:26:39,630 --> 00:26:43,110 and in this case, we are. And by looking at that, it gives us, 341 00:26:43,390 --> 00:26:45,290 you know, a good idea kind of how we're doing. 342 00:26:45,290 --> 00:26:51,430 So in this particular case it's it's above average and then you can get into the question of well is it above average enough 343 00:26:51,430 --> 00:26:55,410 So those are those are questions you can have after kind of making this initial analysis 344 00:26:55,890 --> 00:26:57,550 So I'll turn that back off 345 00:26:57,550 --> 00:27:01,090 But that's the purpose and the use of the low income comparison filter 346 00:27:01,090 --> 00:27:07,130 It defines you a peer group of low income districts or schools that are similar to the one that you're comparing 347 00:27:07,130 --> 00:27:12,110 Against and puts that one right in the middle in terms of low income percentage 348 00:27:12,110 --> 00:27:16,790 makes it the median and then you can see how the actual metric plays out and where 349 00:27:16,790 --> 00:27:23,250 you fall into the overall hierarchy. So anyway, hopefully this can be useful. 350 00:27:23,470 --> 00:27:27,330 It was written for Homer but obviously it can be used for any school district 351 00:27:28,830 --> 00:27:33,890 and if there are any questions my contact information is at the bottom of the 352 00:27:33,890 --> 00:27:39,990 page here. The code, all of the code in terms of this tool as well as how the 353 00:27:39,990 --> 00:27:46,410 The actual data files were sourced and then modified to make them usable in this tool is 354 00:27:46,410 --> 00:27:50,310 all available here in this Google Colab IPython notebook. 355 00:27:51,150 --> 00:27:55,250 The data is actually accessible here except for the FOIA data that I have to get directly 356 00:27:55,250 --> 00:27:55,850 from ISB. 357 00:27:56,370 --> 00:27:59,690 I'm as accessible here in the Illinois Report Card Data website. 358 00:28:00,310 --> 00:28:03,390 And then my contact information, my phone number and my email address are here. 359 00:28:03,390 --> 00:28:08,590 And the entire tool is basically copyrighted under Creative Commons license. 360 00:28:10,230 --> 00:28:14,310 Basically, it can be used pretty much done with whatever you want, just the 361 00:28:14,310 --> 00:28:20,330 attribution is required, and yeah, that's it. So if you have any questions, please 362 00:28:20,330 --> 00:28:24,510 contact me about the tool. I'm happy to help. If there is good ideas that are 363 00:28:24,510 --> 00:28:27,970 brought on that maybe other people want to see, I could incorporate them into 364 00:28:27,970 --> 00:28:32,110 future versions. And the idea is that I just kind of keep this going into the 365 00:28:32,110 --> 00:28:37,170 future as long as I can and it allows for you know some healthy discussions hopefully to be had 366 00:28:37,760 --> 00:28:43,850 in terms of how districts are all performing relative to one another. So thank you for your time. 367 00:28:44,190 --> 00:28:44,790 Have a great day.