I need to use Qualtrics to elicit responses of a group of two subjects. Participants should be randomly assigned into Participant A and Participant B.
Basically, participant A would play rock-paper-scissors game against the computer. Participant B need to place a bet on player A's final outcome of the game. Survey questions would be asked to investigate the different reaction of two players.
At the END of each participants survey, player A would be informed about whether player B placed the bet or not. ie. I need to display the previous answer of a DIFFERENT survey participant in the Qualtrics survey.
There are two way I'm thinking of doing this: randomize and assign people into two survey streams, use quota counts for survey stream A and B. Compare the number of quota. If the number of quota counts for stream B is greater than stream A, then the next participant would be assigned into survey stream A. However, I do not know how to compare quota counts.
Could someone please help me with this?
You don't need to compare quota counts. Just check the "Evenly Present Elements" box on your randomizer and Qualtrics will keep the A & B counts equal for you.
Related
This is for longitudinal human subjects biomedical research. The basic flow of the enrollment process is this:
Enter clinic & scan QR code OR click email link
Read informed consent form and check I consent [survey]
Pass study screener question (are you 18 yo) [survey]
Contact form - enter your name, phone, email [survey w/ workflow to create XM
directory from this data]
Baseline survey [survey w/ ID number attached]
I have it set up right now that survey 2,3,4 all flow together assuming you meet all the criteria. This study is longitudinal so for every survey I want their ID number attached so we can track changes over time at the person-level. We are also collecting blood samples so I will need their participant ID number on their blood tubes so we know who's who when we process and analyze them. Therefore the nurse will need to know their ID number between steps 4 & 5.
I've seen on the community boards that assigning a random number does not guarantee unique values and that unless you make the number long you might have a duplicate. Can't have that. The numbers must be unique and 4 digits so the clinic staff doesn't get bogged down writing a 10-digit number on a blood tube.
I'd love for this number to be sequential, but beggars can't be choosers.
Any ideas on how to do this?? Here are my thoughts thus far
In step 4 (the contact sheet) set a quota larger than the participants I plan to enroll and then save the quota count as embedded data. Then in the workflow where I create the contact directory, save the quota number into an ID number field. DRAWBACK: if multiple people are enrolling at once, Quatrics Customer Service said they can't guarantee that two people won't have the same quote number but couldn't give details about how to define "at the same time". like clicking it at the same milisecond? second? few seconds?
Use the Qualtrics generated unique Person ID field, which is very long and alphanumeric and somehow re-code it with.... python magic?
Thank you!!!
In a survey participants are supposed to solve computational tasks and their payment should differ by their rank. How can I compare the scores of the participants within a survey/during a session to determine who has done best, etc.? Is this even possible?
Data exampleThis is my first time working in R studio.
I have a database of 36 participants but it has 150600 entries.
There is a column for the participants:
A column for the probes Activityprobe/ Screenprobe, SMSprobe and CallLogprobe
A column for the Activity Level High/low/none, screenon/off etc.
I need a code that helps me count the activity level of all the participants
High activity level. No activity level and Low activity level.
And to help me find out for every Participant what the percentages are of all their high/no/low activity.
For screenprobe I need to count how many times the participant turned their screen on and how many times they turned it off and the percentage of screen on/off.
For callLog I need to count how many times each participant got called and the percentage.
For SMS I need to count the number of SMS for each participant and their percentage.
I also need to categorize the probes. So that my database shows all the activity levels first, organized by none/high/low and then all the screenprobes, organized by on and off etc.
I hope that my description is clear
I want to run a study that recruits Mechanical Turk workers to take a survey on Qualtrics. But the survey itself is pretty long, and I want to make sure I get a good number of respondents from hard-to-find groups on MTurk (such as Latino men) without having to pay for thousands and thousands of respondents. So my idea is this: I'll first recruit many people to take a short demographic survey where they answer a few questions about themselves. Then, I'll load all those survey responses into R and, using MTurkR, I'll select a subset of those people to recontact (they'll be my sample for the real survey) and assign them some qualification, then send them a message asking them to sign up for my second HIT.
Okay, so then hopefully a bunch of people from my selected sample will go on to take my second (longer) survey. The challenge is that I'd like some of the questions in this second survey to include demographic data from the first survey. So if you said in the first survey that your religion is Catholic, I'd like there to be a question on the second survey that goes "As a Catholic...". But I don't see an obvious way to pull respondents' answers from the first survey into the second survey. Ideally, I'd have them put in their MTurk worker ID in both surveys, and that ID would serve as a link between surveys. But practically, how do I do this?
After you select the subset of people you want, save the recontact data to a CSV then upload it into a Qualtrics panel.
At the beginning of your Qualtrics survey flow, define the recontact fields as embedded variables that will be populated from the panel. Then you can use them in your survey as piped text (e.g. ${e://Field/religion}) or in logic (if embedded variable religion = Catholic).
In Qualtrics, create an email invite, then invite the people in your panel to take the survey. They will receive an email invite with a link that ties them to their panel data.
GA Unique Visitors data isn't making sense to me. From the GA FAQ we get the following definition for 'Visits vs. Visitors'
"The initial session by a user during any given date range is considered to be an additional visit and an additional visitor. Any future sessions from the same user during the selected time period are counted as additional visits, but not as additional visitors. "
The part that I can't resolve with the GA graph is "Any future sessions from the same user during the selected time period are counted as additional visits, but not as additional visitors". For the graph below covering a 30-day period, I would understand the GA definition to mean that the data represents uniqueness across all 30 days, right? But if you look at the screen shot below, you see a regular pattern for each week over the 30-day period the report covers. From that, it seems the numbers we are seeing associated with each of the days of the graph (e.g. 3.92% (4142) for Tuesday, September 8) is a count of unique visitors just in the context of that one day - i.e. without correlating their uniqueness to the rest of the days in the 30-day period. If the graph actually showed uniqueness across the 30-day period, I would expect the daily numbers to start high in the early days of the period and decrease over the 30-day period as the number of already-seen visitors (i.e. returning visitors) increases, no?
What am I missing here?
UPDATE
Helpful clue from Jonathan S. below got me on the right track.
I think I understand now what the daily bar graph values mean, but it's a little counter-intuitive and I'd bet not what some others might be assuming as well. The reports states "39,822 Absolute Unique Visitors" at the top, which means just that: over the 30-day period we saw this many uniques. Fair enough. The confusing part is that the daily (or weekly) bar values in the graph below are not mutually exclusive uniques as I had assumed, but are values relative only to the 39,822 total - i.e. there is overlap between the unique visitor counts across any group of days. This means the sum of the daily % values > 100% and the sum of the daily count values > 39,822. The algorithm is: when you visit for the first time in the 30-day period, call that "today", you add 1 to the total (39,822) and 1 to the "today" bar value. When you show up again "tomorrow", you are NOT counted again in the total, but ARE counted as 1 in the "tomorrow" bar value.
alt text http://img.skitch.com/20090922-djti81ejj5gqn575ibf8cj1e8x.jpg
I believe it's just an issue of grouping. The top right of the graph has 3 icons to group by day, week, or month. It's currently grouping by day. So if I visit your site today and come back tomorrow, I'll be counted once for each day.
I tried looking at the month view for one of my sites but it didn't give me much meaningful data. I believe the above should answer your original confusion though.
Is it possible that you're searching for something what isn't existing anymore? Unique Visitors/Visits is old terminology. Check: https://www.seroundtable.com/google-analytics-sessions-users-18424.html
Then check how sessions and users are defined:
Sessions ("ex-visits", it's very detailed): https://support.google.com/analytics/answer/2731565?hl=en&ref_topic=1012046
Users in Google Analytics reporting are defined as "Users who have initiated at least one session during the date range". So IMHO it's not about 30 days, it's about the SELECTED date range.
I hope this helps.