Project Implicit has developed MinnoJS to program web studies. The main instrument that we use in Project Implicit is the Implicit Association Test (IAT). The IAT is a commonly used indirect measure of social cognition (read more about such measures here). If you reached this blog post, you probably know what the IAT is and you want to use it in your own study. In this blog post, I will explain how you can use our script in a Qualtrics study.
We will use a modification of an IAT MinnoJS script that Project Implicit has developed. In Project Implicit, we use that script to run the study from Open Minno Suite, our platform for running web studies. Before you decide to use that script in Qualtrics, please consider using our free platform as an alternative to Qualtrics (you can read more about it here).
The script that we created for building IATs is an extension, implemented as a function that creates an IAT from a few arguments (i.e., parameters) that the researcher defines. You can read more about the basic idea of using extensions in Minno on this page.
To run an IAT on Qualtrics study, I followed the guide from an earlier post. The IAT will run from a single question in your survey, separated from any other question by a Page Break, like this:
Please Don’t forgot: The question’s type should be “Text Entry”, and you would need to set it up as a multiline question (in the setting box on the right). We need a multiline question because we are going to use a CSV format to save the data, and single line questions do not save new lines.
Then, click the JS icon in the IAT question, and add the following code:
Qualtrics.SurveyEngine.addOnload(function () {
// hide question and next button
var container = this.getQuestionContainer();
container.querySelector('.Inner').style.display = 'none';
this.hideNextButton();
// load MinnoJS from the CDN (you probably don't need to change this)
var scriptTag = document.createElement('script');
scriptTag.src = 'https://cdn.jsdelivr.net/gh/minnojs/minno-quest@0.3/dist/pi-minno.js';
scriptTag.onload = onLoad;
scriptTag.onreadystatechange = onLoad;
container.appendChild(scriptTag);
// create the root element for Minno
var canvas = document.createElement('div');
container.appendChild(canvas);
// function to proceed to next question
var proceed = this.clickNextButton.bind(this);
// This function gets activated only after MinnoJS is loaded
function onLoad() {
// Run your study (just set the correct URL)
minnoJS(canvas, 'https://cdn.jsdelivr.net/gh/baranan/minno-tasks@0.*/IAT/qualtrics/exampleQIAT.js');
// MinnoJS doesn't know about Qualtrics, we pass a function to inject the results into the question
// For some reason `piGlobal` isn't available so we attach it to `minnoJS`
minnoJS.logger = function (value) {
var el = container.querySelector('textarea');
el.value = value;
}
// At the end of the study let MinnoJS proceed to the next question
// We need to wait a few miliseconds for Qualtrics to register the value that we entered
minnoJS.onEnd = function () { setTimeout(proceed, 100); }
}
});
This code will run our example Qualtric IAT from this page. Start with that example. After you verify that it runs fine on your Qualtrics survey, replace it with your own IAT (we’ll get to that shortly).
IMPORTANT NOTE: to skip blocks when you’re testing the IAT, use the key combination: Esc, Enter.
If you go to our example, you will see how simple it can be to define your own IAT:
define(['pipAPI', 'https://cdn.jsdelivr.net/gh/baranan/minno-tasks@0.*/IAT/qualtrics/quiat9.js'], function(APIConstructor, iatExtension){
var API = new APIConstructor();
return iatExtension({
category1 : {
name : 'Black people', //Will appear in the data.
title : {
media : {word : 'Black people'}, //Name of the category presented in the task.
css : {color:'#31940F','font-size':'2em'}, //Style of the category title.
height : 4 //Used to position the "Or" in the combined block.
},
stimulusMedia : [ //Stimuli content as PIP's media objects
{image : 'black1.jpg'},
{image : 'black2.jpg'},
{image : 'black3.jpg'},
{image : 'black4.jpg'},
{image : 'black5.jpg'},
{image : 'black6.jpg'}
],
//Stimulus css (style)
stimulusCss : {color:'#31940F','font-size':'1.8em'}
},
category2 : {
name : 'White people', //Will appear in the data.
title : {
media : {word : 'White people'}, //Name of the category presented in the task.
css : {color:'#31940F','font-size':'2em'}, //Style of the category title.
height : 4 //Used to position the "Or" in the combined block.
},
stimulusMedia : [ //Stimuli content as PIP's media objects
{image : 'yf1.jpg'},
{image : 'yf4.jpg'},
{image : 'yf5.jpg'},
{image : 'ym2.jpg'},
{image : 'ym3.jpg'},
{image : 'ym5.jpg'} ],
//Stimulus css
stimulusCss : {color:'#31940F','font-size':'1.8em'}
},
base_url : {//Where are your images at?
image : 'https://baranan.github.io/minno-tasks/images/'
}
});
});
In the first line, we tell Minno where the full IAT script is:
define(['pipAPI', 'https://cdn.jsdelivr.net/gh/baranan/minno-tasks@0.*/IAT/qualtrics/quiat9.js'], function(APIConstructor, iatExtension){
At the beginning of that script, you can see all the possible arguments (i.e., parameters for the IAT). The arguments are provided in a JavaScript JSON object. If you don’t want to change the default value of an argument, you don’t need to include that argument in your own script. If you change even one parameter within a child object (i.e., within a property that is an object, such as the property category2), you must define the whole object in your own code (as we did with category1 and category2 in the example above). The only parameters that we changed in the example above are the categories (labels and stimuli) and the url for the folder that hosts the images.
Next, it’s time to create your own IAT. For that, you need to create a script like the example script, and post it online. If you have your own website (e.g., a home directory hosted by your university), you can put that script on that website. It is a static file so pretty much any server will suffice. Or, you can use a free online service for that. My example is hosted on GitHub Pages, which is free and easy to setup.
First, just copy my code and put it on your server. Change the url in the JavaScript code you entered to Qualtrics earlier, and see that the IAT runs fine.
Now, change your code to build the IAT you need. If you’re using photos, put them in your own directory and change your IAT script to search for images there: base_url: {image:’YOUR URL GOES HERE’}. If you’re using words rather than photos, you need to update the media object of the categories. For instance: {word: ‘Tyrone’}.
If you want to update the attributes, see how the attributes are defined in the extension script and override them by defining your own attributes in your IAT script.
Although our IAT script supports touch devices, the IAT does not detect automatically whether the participant is using a touch device (e.g., mobile). Therefore, if you want your participants to run the IAT on a mobile device or a tablet, you will need to create an IAT version specifically for those participants (in your script, set isTouch:true in the IAT parameters).
The original post about running MinnoJS scripts from Qualtrics explains the how to process the data saved by Qualtrics. Here ([download from here] is an R (well, rmd) script that you can use to analyze the IAT data. If you don’t feel comfortable using R, here is how to create a csv file with the IAT data, using Excel.
The steps in an animated gif:
Please note: The data in the csv will include a D score. This D score is sometimes used in Project Implicit’s website, for internal reasons. However, it is not recommended to use it as the score in your own research. It does not use the currently recommended algorithm
We posted online, most of Project Implicit’s IATs.
You can duplicate them to your own server, or just call them directly from Qualtrics. That is, in the code you enter in Qualtrics, when you define what task to launch using MinnoJS, use the URL to the demo task that you want to use. For instance, for our race IAT:
minnoJS(canvas, 'https://cdn.jsdelivr.net/gh/baranan/minno-tasks@0.*/IAT/qualtrics/demoRace0005.js');
A couple of notes about these IATs:
To run the IAT in full-screen, add to the IAT’s parameter the parameter fullscreen:true
In Project Implicit, for eductional purpopses, at the end of many of our studies, participants see the common interpertation of their IAT result (e.g., ‘your result suggests a strong automatic preference for Christians over Jews’). In experiments in other settings (e.g., in the lab), I usually don’t do that. When we present feedback in Project Implicit’s website, we provide much context to the participant, to make sure they don’t think that the feedback is more than an educational tool. The IAT (like all the other “implicit measures”) is not accurate enough to provide a reliable estimate of attitudes for each participant. Therefore, I strongly recommend not to present feedback to your participants.
Further, in Qualtrics, we cannot save the feedback in a way that would allow you to present the common interpertation of the result at the end of the study, as a part of a long and detailed debriefing. Despite my strong recommendation not to show your participants an interpertation of their IAT result, many researchers have asked us to allow presenting the feedback to their participants. Therefore, we added that feature to our Qualtrics version of the IAT.
Here are the relevant parameters you should add to your IAT parameters, in order to enable presenting feedback in your Qualtrics IAT. The comments explain the parameters.
showDebriefing:false, //Show feedback in the last trial? Relevant only in a Qualtrics IAT because in Qualtrics we cannot access the saved feedback and IAT score later in the survey.
//Texts for the trials that show the debriefing.
preDebriefingText : 'Press space to see your result', //Text in the trial that comes before showing the debriefing.
preDebriefingTouchText : 'Touch the bottom green area to see your result', //Touch version for the text in the trial that comes before showing the debriefing.
debriefingTextTop : 'Your result:', //Will be shown above the feedback text.
//ATTENTION: We do not recommend showing participants their results. The IAT is a typical psychological measure so it is not very accurate.
//In Project Implicit's website, you can see that we added much text to explain that there is still much unknown about the meaning of these results.
//We strongly recommend that you provide all these details in the debriefing of the experiment.
debriefingTextBottom : 'This result is not a definitive assessment of your attitudes. It is provided for educational purposes only.', //Will be shown below the feedback text.
If you have any questions, you post questions in our MinnoJS Google Group, here.
You used MinnoJS platform, which is cited like this:
Zlotnick, E., Dzikiewicz, A. J., & Bar-Anan, Y. (2015). Minno.js (Version 0.3) [Computer software].
To cite our Qualtrics-IAT script, cite this blog post:
Bar-Anan, Y. (2020, March 3). Running Project Implicit’s IAT from Qulatrics [Blog post]. Retrieved from https://minnojs.github.io/minnojs-blog/qualtrics-iat/