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Great question! To do that you can use what Stata calls "factor notation." This means that you tell Stata that a given variable is categorical. To do that, use the prefix "i." before a variable. Say that your variable is called "age." You would enter "i.age" in the command and it will then create a separate line in the table for each category. This video walks gives an example starting at around the 6:00 mark.

you can use the command "tab1 [varlist]" to generate a frequency distribution table

You can download a copy of the data from my website at www.jasonburnsphd.com/new-jersey-school-performance-data but you will need your own copy of Stata

A limitation of a chi-square test is that it does not reveal whether, or which, specific value of either variable is driving the result. Looking at the descriptives could give you some insight about where differences are greater, but can't be used to draw any conclusions about what drives the p-value/difference. If you have a strong (theoretical) reason to hypothesize that specific values/groups are important then other tests could be used. For instance, one may not really be interested in counties, but just the difference between traditional public schools and charter schools. In that case, one could create some new variables that group all public schools together and all the charter schools together and then calculate the proportion of schools from each group that are high, medium, and low poverty, which would allow one to run 3 t-tests (using charter/tps as the independent variable in all three and then using proportion low poverty, proportion, medium poverty, and proportion high poverty as the dependent variables) to investigate whether charter/tps schools are more/less/equally likely to be low, medium, or high poverty.

Without seeing the menus or errors that you are seeing, my guess is that it may have something to do with your account. It is possible that your account "tier" or "package" has limited options for customizing the appearance of your survey. FWIW, I recommend not making many changes to the appearance of your survey throughout to avoid potentially confusing or distracting respondents. Hope that helps!

@@birdsandbutterflies-uu5wf Ah I see. To do that I would break the table up over a few pages. Some reasons for that are that it will help to break things up a little bit like you are trying to do. That will also make sure that you get more data. The way Qualtrics works, no responses are saved until the respondent hits the "next" button at the bottom of the page. If you have a matrix with 32 items and a person responds to 16 of them and then exits the survey, none of those 16 responses will be saved. If you have those 32 items spread across 4 pages (8 per page) and the person responds to all 8 on the first page and then goes to the next page, you will have those first 8 responses. If the person then responds to the 8 on the second page but doesn't click next, you would lose responses for items 9-16 but keep responses 1-8. If they click next on the bottom of the second page, then you'd have all 16 of those responses. Lastly, consider how your respondents will be interacting with your survey. Most of the time the way that matrix items render on mobile devices can be a little clunky in a way that I think increases response burden. Most of the time it presents each item and the scale individually rather than in grid form like it does on desktop. Just something to think about.

@@birdsandbutterflies-uu5wf Ha, no problem to ask here, but I've also had good luck with Qualtrics customer support! Depending on how important it is to keep track of that, there are a few ways you could go about it. If you are doing your own translations across the three languages (such as if you don't trust the AI translation), then you could design 4 instruments: 1 for each of the three languages, and then 1 that serves to route respondents to the correct instrument. The routing survey would then be what is sent out to participants so that all contacts can run through one survey. Another would be to include the "User Language" field in the responses. By default, that is collected but not displayed. To look at the language, just go to the Data & Analysis tab within your survey, hover over any column heading and click the blue plus sign, then highlight "Survey Metadata" and scroll down to "User Language." I think that pulls from whatever language is set on the operating system, but it may also be based on the font displayed in the survey tab (not 100% sure, but how big of a deal that would be depends on how many respondents would have their computer set to one language, say English, but take the survey in another language, say Spanish). If you need more detailed information, you may be able to get it from embedded data by going into the survey flow and creating an Embedded Data element at the beginning of the survey. There, you can collect the user agent (information about the operating system and browser collected by web servers) and the User Language (which according to Qualtrics is "the language the respondent takes the survey in," not sure if that is the same as what you'd get by adding the language field in the Data & Analysis tab). Hope this helps!

Changing the background picture wouldn't impact data collection in a strict sense, meaning that variables wouldn't be added, deleted, or recorded differently, but it may affect some things in a relevant way. One is that in theory, a different background image may lead respondents to provide slightly different answers subconsciously (you could investigate this further by looking into modal effects in surveys). That could happen if the image distracts the respondent or if the image conveys some sort of message like a desirable response. Another is that a different appearance may lead some respondents to think that it is a different survey, though for that, context matters a lot. If, say, it is a survey of people at a workplace where many people would be invited to participate and know each other, one person seeing the new survey on another person's screen may lead them to think that they need to participate in what they think is a new survey or data collection. That part wouldn't impact the data but could wind up in a number of emails related to survey administration. Overall, a small change is probably fine and for any change it would be worth thinking through the extent to which a change in appearance may lead to any of these issues. Hope this helps!