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Danielle Jones

Cognitive neuroscientist interested in identifying systematic measurement error in self-report and neurobehavioral methods.

danielle
  • Area: Cognition and Cognitive Neuroscience
  • Position: Graduate Student
  • Institution: Florida State University
01.

About Me

Sign Shop to Scientist

I didn't grow up dreaming of being a scientist.

I didn’t grow up dreaming of being a scientist. Honestly, I didn’t even know what one was. My parents ran small sign businesses, and by the time I was a teenager, I was helping out—assembling vinyl and electric signs, crawling through attics to wire installations, handling invoices and paperwork. My world was practical, hands-on, and local.

At sixteen, I dual-enrollmed in a psychology course at my local college. One assignment asked us to research a mental illness using peer-reviewed sources. That was the first time I encountered a journal article. It felt like discovering a hidden world—one where people spent their lives trying to understand the human mind. I was captivated. I didn’t just want to read those articles—I wanted to write them. At the time, I was especially drawn to the question of why people engage in antisocial or harmful behavior.

I finished my AA at Indian River State College and applied to Florida State University with no real plan—just a vague understanding that if I wanted to get a PhD, I needed to get research experience.

Discovering My Interests

How do we even measure a "psychological construct"?

I joined my first lab in my second semester, spending nearly 20 hours a week running sessions for online internalizing treatments in Dr. Jesse Cougle’s lab. Drawn to criminal behavior, I later joined Dr. Christopher Patrick’s lab, running EEG sessions focused on psychopathy and externalizing disorders.

But the more I learned, the more I realized how much we don’t know. My curiosity shifted—from what causes behavior, to how we even define and measure these elusive psychological constructs. I became fascinated with measurement itself: how latent traits like depression or disinhibition manifest across self-report, brain responses, and task performance—and how those tools often disagree.

During my post-bacc years, I trained under Dr. Keanan Joyner in advanced quantitative methods, working on scale development and multi-modal assessment. I became especially interested in how time shapes what we observe—how repeated measures across days, trials, or contexts offer different insights into psychological phenomena.

Current Research

The role of time, systematic measurement error, and participant engagement.

Today, my work revolves around three core aims:

1. Capturing dynamics at the trial level. I focus on breaking down averaged signals in cognitive tasks to examine trial-level fluctuations in performance and brain activity. I'm especially interested in the stability of a construct across time and trials, and have developed a method for estimating trial response consistency (tRC): a within-subject measure of variability that quantifies how reliable a metric is for an individual, on any given trial.

2. Understanding systematic measurement error. I’m investigating why daily symptom reports often diverge so dramatically from retrospective self-reports. How much of that gap is noise, and how much is telling us something meaningful about the limitations of our measurement tools?

3. Improving recruitment and data quality. I also study how we recruit and engage research participants. What draws people from different backgrounds to participate in our studies? What keeps them engaged? And what can we do to make participation feel more like collaboration than extraction?

02.

My Research

Updated March 27, 2025

0
Published
Published
Berluti, K., Ploe, M. L., Doherty, H., Jones, D. N., Patrick, C. J., & Marsh, A. A. (2025). Prevalence and correlates of psychopathy in the general population. Journal of personality disorders39(1), 1–21. https://doi.org/10.1521/pedi.2025.39.1.
Santopetro, N. J., Jones, D. N., Garron, A., Meyer, A., Joyner, K., & Hajcak, G. (invited revision). Examining a fully automated mobile-based behavioral activation intervention in depression: Randomized controlled trial. JMIR mental health11, e54252. https://doi.org/10.2196/54252
Stewart, R. A., Jones, D., Joyner, K. J., McDermott, K. A., Cougle, J. R., & Patrick, C. J. (2023). Evidence for a transdiagnostic factor underlying disorder-specific measures of physical appearance concerns. Journal of Psychopathology and Behavioral Assessment. http://dx.doi.org/10.1007/s10862-023-10101-4
Gebru, N. M., Jones, D., Murphy, J., & Joyner, K. (2023). A hypothetical lottery task to assess relative resource allocation towards alcohol and cannabis. Psychology of addictive behaviors: journal of the Society of Psychologists in Addictive Behaviors, 37(1), 144–155. https://doi.org/10.1037/adb0000888
Yancey, J. R., Bowyer, C. B., Roberts, K. E., Jones, D., Joyner, K. J., Foell, J., McGlade, E. C., Yurgelun-Todd, D. A., Boot, W. R., & Patrick, C. J. (2022). Boldness moderates cognitive performance under acute threat: Evidence from a task-switching paradigm involving cueing for shock. Journal of Experimental Psychology: Human Perception and Performance, 48(6), 549–562. https://doi.org/10.1037/xhp0000995
0
Under Review
Under Review
Patel, T. A., Garron, A,, Jones, D. N., & Cougle, J. R. (under review) Effects of Reducing Social Media Use in Women with Depressive Symptoms.
0
Symposia
Symposia
Joyner, K. J., Jones, D. N., & Watts, A. L. (2025, April). Uncovering the Mechanisms of the Co-occurrence of Substance Misuse with Broad Psychopathology. In Joyner, K. J. (Chair), Matching Theory to Data: Leveraging Longitudinal Designs to Explicitly Test Core Theories of Addiction. Symposium presented at the 2025 Collaborative Perspectives on Addiction Annual Meeting, Providence, RI.
Joyner, K. J., Lowe, G. D., Jones, D. N., Waller, R., & Perkins, E. R. (2024, October). A Practical Approach to Overcoming the Technical Limitations of Electroencephalogram for Individuals with Coarser and Curlier Hair. In Figuracion, M. (Chair), Enhancing Inclusivity in EEG Methodology: Considerations for Employing Equitable Research Practices with Black and Latine Participants. Symposium presented at the 2024 Annual Meeting for the Society of Psychophysiological Research in Prague, Czech Republic
Joyner, K. J., Dellett, K., & Jones, D. N. (2024, October). Understanding the Impact of Contextual Influences on Etiological Mechanisms of Cannabis Use and Problems. In Watts, A. L. (Chair), Unraveling Substance Use Disorder’s Complexity: Contemporary Insights into its Assessment, Classification, and Etiology. Symposium presented at the 2024 Annual Meeting for the Society of Research in Psychopathology in Montreal, Quebec, Canada.
Joyner, K. J. & Jones, D. N. (2023, October). Connecting Psychophysiological Measures to Within- and Between-Subject Hierarchical Models of Psychopathology. In Cooper, S. (Chair), Psychophysiology’s Role in Advancing Mental Health Nosology: Integration with the Hierarchical Taxonomy of Psychopathology. Symposium presented at the 2023 Annual Meeting for the Society of Psychophysiological Research in New Orleans, LA.
Joyner, K. J. & Jones, D. N. (2023, September). Trial-Level Dynamics of Event-Related Potentials Reveal Unique Patterns of Risk for Externalizing and Substance Misuse. Invited symposium talk at the 2023 Flux Conference, Santa Rosa, CA.
0
Posters
Posters
* Indicates mentored student under my primary supervision for project
Gilmore, A.*, Beliard, B.*, Jones, D. N., Martin, C., & Joyner, K. J. (2025, February) Does the order of questionnaire administration affect the covariance of socioeconomic indicators? Poster presented at the 2025 Florida Undergraduate Research Conference, Tampa, FL.
Beliard, B.*, Gilmore, A.*, Jones, D. N., & Joyner, K. J. (2025, February) Impact of Racial Representation in Mental Health Advertisements. Poster presented at the 2025 Florida Undergraduate Research Conference, Tampa, FL.
Beliard, B.*, Gilmore, A.*, Jones, D. N., & Joyner, K. J. (2024, November) Effects of Racial Representation in Advertisements for Mental Health Studies. Poster presented at Florida State University’s Fall 2025 Undergraduate Research Day, Tallahassee, FL.
Beliard, B.*, Gilmore, A.*,  Jones, D. N., & Joyner, K. J. (2024, November). Effects of racial representation in advertisements for mental health studies. Poster presented at the McKnight Doctoral Fellowship Annual Fellows Meeting in Tampa, FL.
Jones, D. N., Joyner, K. J., Patrick, C. J., & Martin, C. (2024, October). The predicted residual method of calculating trial response consistency (tRC): trial-by-trial variability in the flanker stimulus P3 predicts behavioral performance. Poster presented at the 2024 Annual Meeting of the Society of Psychophysiological Research in Prague, Czech Republic.
Franck Love, S., Shah, R., Jones, D. N., Patrick, C. J., Venables, N., & Joyner, K. J. (2024, October). Evaluating individual differences in inhibitory control using drift diffusion modeling compared to traditional behavioral performance metrics. Poster presented at the 2024 Annual Meeting of the Society of Psychophysiological Research in Prague, Czech Republic.
Shah, R., Franck Love, S., Jones, D. N., Patrick, C. J., Venables, N., & Joyner, K. J. (2024, October). Inhibitory control performance as revealed by delta plot parameters: associations with self-reports, brain potential response, and other task performace measures of disinhibition. Poster presented at the 2024 Annual Meeting of the Society of Psychophysiological Research in Prague, Czech Republic.
Kapoor, G., Jones, D. N., & Joyner, K. J. (2024, April). Diurnal Rhythm in Reward Processing Peaks Late-Afternoon in Adults. Poster presented at the Annual Meeting of the Western Psychological Association Conference in San Francisco, CA.
Johnson, C. E., Bowyer, C. B., Jones, D. N., Pauley, A. C., Brown, J. S., Dewan, A. K., & Patrick, C. J. (2024, April). Affective odors modulate neural processing of emotional visual stimuli. Poster presented at the Association for Chemoreception Sciences Annual Meeting in Bonita Spring, Florida
Stewart, R.A., Jones, D., Joyner, K.J., McDermott, K.A., Cougle, J.R., & Patrick, C.J. (2023, April). The general appearance concerns scale: Development of a model-based transdiagnostic measure using item-response theory. Poster presented at 2023 FSU Graduate Research Day, Tallahassee, FL.
Brown, J. S., Jones, D. N., Bowyer, C. B., Hammock, E. A. D., & Patrick, C. J. (2023, October). Alexithymia predicts increased P300 in cyberball social exclusion paradigm. Poster presented at the 2023 Annual Meeting for the Society of Psychophysiological Research in New Orleans, LA.
Johnson, C. E., Bowyer, C. B., Jones, D. N., Pauley, A. C., Dewan, A. K., & Patrick, C. J. (2023, October). Modulating emotional visual stimuli with salient odor cues: A novel approach to assessing face processing. Poster presented at the 2023 Annual Meeting for the Society of Psychophysiological Research in New Orleans, LA.
Jones, D. N., Joyner, K. J., & Patrick, C. J. (2023, October). Reduced variability in the ERN response predict greater externalizing psychopathology and traits. Poster presented at the 2023 Annual Meeting for the Society of Psychophysiological Research in New Orleans, LA.
McDonald, M., Brown, J. S., Jones, D. N., Hammock, E. A. D. & Patrick, C. J. (2023, April). A proposed relationship between racial microaggressions, stress susceptibility, and mental health disparities. Poster presented at Florida State University’s Undergraduate Research Symposium in Tallahassee, FL.
Adea-Swanston, N., Brown, J. S., Jones, D. N., Hammock, E. A. D. & Patrick, C. J. (2023, April). Internal state-dependent social interaction, emotional reactivity, and oxytocin. Poster presented at Florida State University’s Undergraduate Research Symposium in Tallahassee, FL.
Stewart, R.A., Jones, D., Joyner, K.J., McDermott, K.A., Cougle, J.R., & Patrick, C.J. (2022, November). The Structure of Physical Appearance Concerns: Evidence for Transdiagnosticity. Poster presented at the Association for Behavioral and Cognitive Therapies (ABCT) 2022 Annual Convention, New York, NY.
Jones, D. N., & Joyner, K. J. (2022, September). Contextual influences on the relationship between substance-free reward and substance misuse. Poster presented at the 2022 Annual Meeting of the Society for Research in Psychopathology, Philadelphia, PA.
Yancey, J., Jones, D., Roberts, K., & Patrick, C. (2022, October). Threat differentially affects alerting and executive control networks: evidence from event related potentials during an attention network test under threat of shock. Poster presented at the 2022 Society for Psychophysiological Research Annual Meeting.
Levine, E., Jones, D. N., & Joyner, K. J. (2022, May). Exploring differential relationships between objective and subjective measures of SES and alcohol and cannabis use. Poster presented at the 2022 Association for Psychological Science Annual Meeting, Chicago, IL.
Jones, D. N., & Joyner, K. J. (2022, April). Differentiating the roles of socioeconomic and subjective social status in alcohol and cannabis use. Abstract accepted at the 2022 Collaborative Perspectives on Addiction Annual Meeting.
Gebru, N., Jones, D. N., & Joyner, K. J. (2022, April). Validation of a hypothetical lottery task to assess resource allocation to alcohol and cannabis. Poster presented at the 2022 Collaborative Perspectives on Addiction Annual Meeting.
Jones, D. N., Taylor, S., Joyner, K. J., & Patrick, C. J. (2021, October). Alcohol intoxication induces heterogeneity in P300 response to novel affective pictures. Poster presented at the 2021 Society for Psychophysiological Research Annual Meeting.
Beach, H. R., Thomas, J. T., Jones, D. N., Joyner, K. J., & Patrick, C. J. (2021, October). Gender differences in the N170 response to emotional faces. Poster presented at the 2021 Society for Psychophysiological Research Annual Meeting.
King, B. T., Jones, D. N., & Joyner, K. J. (2021, April). The investigation of substance problems, meaning and purpose in life, and externalizing traits. Poster presented at the 2021 Center for Addiction Research & Education Annual Symposium.
Jones, D. N., King, B. T., & Joyner, K. J. (2021, April). An exploration of the effort valuation construct and its relationship to substance use. Poster presented at the 2021 Center for Addiction Research & Education Annual Symposium.
Thomas, J. T., Beach, H. R., Jones, D. N., Joyner, K. J., & Patrick, C. J. (2021, October). Threat of shock may interrupt neural processes implicated in face processing in a task-switch paradigm. Poster presented at the 2021 Society for Psychophysiological Research Annual Meeting.
King, B. T., Jones, D. N., Petscher, Y., & Joyner, K. J. (2021, March). A preliminary investigation of a new scale assessing meaning and purpose in life and its relation to alcohol use. Poster presented at the 2021 Collaborative Perspectives on Addiction Annual Meeting.
Jones, D. N., King, B. T., & Joyner, K. J. (2021, March). Preliminary psychometric evaluation of an effort valuation scale and its relation with alcohol use. Poster presented at the 2021 Collaborative Perspectives on Addiction Annual Meeting.
03.

My Funding

0
Training Awards
Training Awards
Dean's Scholarship for the Integrated Clinical Neuroscience Program
The Effect of Episodic Memory on Retrospective Recall Bias of Self-Reported Psychopathology
Tuition, Stipend, $2,000 in Research Funds
0
Travel Awards
Travel Awards
Barbara H. Wasik Student Travel Award
$600
04.

My Skills

Statistics & Data Processing
R
85%
SPSS
80%
MATLAB (EEGLAB/ERPLAB)
50%
Brain Vision Analyzer (BVA)
50%
Mplus
30%
Programming Languages
Javascript
50%
PHP
40%
CSS
85%
HTML
95%
Python
30%
Data Acquisition
Qualtrics
95%
Actiview
80%
Curry8
60%
PsychoPy
80%
E-Prime
40%
eeg-notebooks
25%
EEG Systems
BioSemi
90%
Neuroscan
85%
ActiChamp
25%
Other
ChatGPT
50%
Photoshop
50%
05.

My Research Positions

 C.R.E.A.M. LAB 
 UNIVERSITY OF CALIFORNIA, BERKELEY 

Principal Investigator: Keanan Joyner, PhD

 Research Engineer 
 January 2022 - Present 

General Duties

  • Prepare and manage IRB documentation at Florida State University and Berkeley data collection sites
  • Hire, train, and supervise team of undergraduate research assistant conducting EEG data collection at both study sites
  • Spearheaded initial set-up of Berkeley lab space, including Biosemi EEG system
  • Create and manage lab website
Randomized controlled trial for peer support intervention

  • Collaborated on study design
  • Built automated workflow to recruit, screen, and track study participants through a fully online protocol
  • Oversaw recruitment and participant management
  • Managed study advertisement on Facebook and Snapchat
Electroeceophalography (EEG) study investigating strategies to accomodate Black hairstyles

  • Mentored undergraduate summer intern on creation of experimental task using PsychoPy
  • Collaborated with a cosmetologist to design braiding pattern for cap application
Combined electroeceophalography (EEG) and ecological momentary assessment (EMA) study investigating substance-free reward, reward processess, and substance problems

  • Utilized open-source template to create study recruitment website
  • Created and oversaw recruitment advertisement through Facebook
  • Built automated workflow to screen, track, recruit, and schedule community participants
  • Enrolled and documented participant enrollment in TigerAware EMA software
  • Maintained detailed records of participant enrollment, study materials, EMA completion, and payment
  • Prepared reimbursement forms for participant payments and raffle prizes
Online study investigating factors related to socioeconomic status

  • Built surveys using Qualtrics
  • Oversaw and managed study enrollment through SONA
Online study investigating factors related to substance misuse

  • Built surveys using Qualtrics
  • Oversaw and managed study enrollment through SONA

 CLINICAL NEUROSCIENCE LAB 
 FLORIDA STATE UNIVERSITY 

Principal Investigator: Christopher J. Patrick, PhD

 Lab Manager 
 May 2020 - May 2023 

General Duties

  • Hire, train, and supervise team of over 20 undergraduate research assistants collecting data on multiple protocols
  • Maintain supply inventory
  • Prepare IRB documents for initial submissions and revisions
  • Write detailed Standard Operating Procedure documents for study protocols for undergraduate research assistants
  • Process EEG data using MATLAB and Brain Vision Analyzer (BVA)
  • Troubleshoot lab equipment (e.g., shock box, button box, head boxes) and data collection software (e.g., Curry8, E-Prime)
  • Clean, document, and organize study data
  • Build automated workflows for study recruitment and participant scheduling
  • Perform health screening interviews via phone
  • Led efforts to organize and create secure backups of data contained on lab servers to protect against data loss and file corruption

 Undergraduate Research Assistant 
 January 2019 - April 2020 

EEG Data Collection

  • Explained study procedures, answered participant questions, obtained informed consent, administered computerized and paper questionnaires, and debriefed participants according to protocol
  • Applied 64-channel EEG caps and other biometric sensors (EMG, SCR, EKG) and recorded psychophysiological data using Neuroscan Curry8 program
  • Instructed participants on how to complete experimental tasks and supervised practice trials
  • Calibrated harmless shocks to participant’s tolerance to be administered in experimental tasks
  • Recorded behavioral observations during task completion and kept detailed logs of study visits

Other Involvement

  • Digitized and entered archival data
  • Evaluated and documented image quality of MRI scans using MRIcron
  • Assisted in the training of new undergraduate research assistants, instructing them on study protocol, participant interaction, EEG cap application, and data collection software
Electroencephalography (EEG) study investigating reward and emotion processing, olfactometry, and biological factors

  • Assist in task design and creation of counterbalanced run orders
  • Built automated recruitment system
  • Programmed and piloted study tasks
  • Carried out recruitment of community and student sample
  • Managed Facebook advertisements
  • Wrote initial IRB application and assisted in revisions
Electroeceophalography (EEG) study investigating the relationship between oxytocin, social rejection, and callous-unemotional traits

  • Centrifuge and aliquot blood samples
  • Oversaw the design and testing of new study tasks built in PsychoPy
Electroeceophalography (EEG) study investigated neural, behavioral, and self-reported correlates of optimal performace under threat

  • Recruited study participants
  • Maintained detailed records of expenditures
Online study investigating factors related psychopathy and mental health

  • Oversee and manage study enrollment through SONA

 COUGLE LAB 
 FLORIDA STATE UNIVERSITY 

Principal Investigator: Jesse Cougle, PhD

 Lab Manager 
 May 2020 - April 2021 

General Duties

  • Monitored online data collection progress and answered participant questions
  • Recreated lab website utilizing open-source template and custom code
  • Created curriculum for undergraduate research assistants to keep them engaged with the lab and provide consistent research-related learning opportunities despite all lab operations being remote
  • Cleaned, scored, and merged self-report data from multi-timepoint assessments
  • Created automated workflows for screening, recruitment, and participant scheduling

 Undergraduate Research Assistant 
 May 2018 - April 2020 

General Duties

  • Data collection
Randomized controlled trial for social anxiety

  • Created automated workflow that utilized participant responses on a baseline assessment to customize display on daily behavior checklist assessments
  • Created automated workflow that assigned participant to treatment group at baseline and automatically scheduled and sent links to group-specific interventions and assessments via text message
Randomized controlled trial for clinically-significant anger

  • Revised IRB materials to adapt in-person protocol for remote data collection in response to pandemic-related campus closures
  • Created automated workflow that assigned participant to treatment group at baseline and automatically scheduled and sent links to group-specific interventions and assessments via text message
  • Created detailed tracking documents to monitor participant compliance
Randomized controlled trial for depression, examinng the effects of reducing social media use

  • Revised IRB materials to adapt in-person protocol for remote data collection in response to pandemic-related campus closures
  • Created automated workflow that assigned participant to treatment group at baseline and automatically scheduled and sent links to group-specific interventions and assessments via text message
  • Created detailed tracking documents to monitor participant compliance
Online study investigating factors related to clinically-significant appearance-related concerns

  • Oversaw and managed study enrollment through SONA
Randomized controlled trial testing intervention for clinically-significant lonliness

  • Scored online community screeners and sent out recruitment emails to those who met eligibility for the study
  • Scheduled emails with links to online study interventions and future assessments
  • Posted recruitment advertisements on Craigslist and other websites
  • Performed data entry tracking participant completion of study interventions and assessments
Study investigating factors related to broad mental health diagnoses

  • Explained study procedures, answered participant questions, obtained informed consent, and debriefed participants according to protocol
  • Interviewed participants using materials adapted from the MINI
Randomized controlled trial for appearance-related concerns treatment

  • Explained study procedures, answered participant questions, obtained informed consent, and debriefed participants according to protocol
  • Administered SCID-5 module for Body Dysmorphic Disorder
  • Administered MINI modules for Social Anxiety Disorder, Anorexia Nervosa, and Bulimia Nervosa
  • Administered behavioral task measuring anxiety-related factors
  • Scheduled follow-up lab visits and dates for participants to take at-home assessments
06.

Consulting

 Behavioral Activation for Depression Study 
 October 2022 | PI: Greg Hajcak, PhD 

Automatic screening, group assignment, and individualized daily assessments that were customized based on participant responses on baseline questionnaire in Qualtrics. Automatic group-based text messages with personalized links to assessments using SlickText.

 Exposure-Based Intervention for Perfection Study 
 August 2022 | PIs: Sarah Redden, MS & Jesse Cougle, PhD 

Automatic screening, group assignment, and individualized daily assessments that were customized based on participant responses on baseline questionnaire in Qualtrics. Automatic group-based text messages with personalized links to assessments using SlickText.

 Social Anxiety Treatment Study 
 Janaury 2022 | PIs: Nora Mueller, MS & Jesse Cougle, PhD 

Automatic screening, group assignment, and individualized daily assessments that were customized based on participant responses on baseline questionnaire in Qualtrics. Automatic group-based text messages with personalized links to assessments using SlickText.

 EDEN Lab 
 February 2024 | PI: Rebecca Waller, PhD, University of Pennsylvania 

Set up Biosemi data collection laboratory and trained key personnel on data collection.
07.

My Other Positions

 Assitant to the Director of Clinical Training 
 PSYCHOLOGY DEPARTMENT | FLORIDA STATE UNIVERSITY 
 August 2022 - Present 

  • Collate laws, rules, and regulations from all states and territories related to licensure as a clinical psychologist to determine if the clinical program meets education requirements
  • Collect and organize field placement data for the clinical program
  • Organize and disseminate resources on applying for internship to graduate students in the clinical program
  • Collected and prepared data for the APA’s Annual Report Online (ARO)

 Project Manager 
 DIVERSITY PROJECT | FLORIDA STATE UNIVERSITY 
 August 2022 - March 2023 

  • Hired, trained, and supervised research assistants to code variables from application materials (i.e., curriculum vitae, personal statements, transcripts) to psychology graduate programs at Florida State University
  • Managed, cleaned, and merged data in preparation for analyses
08.

Infrastructure Projects

The administration of complex research protocols can be made easier with automated processes. I build webapps that integrate with things like Google Drive and Qualtrics to simplify data collection.

Text-message based ecological momentary assessment (EMA) studies that use Qualtrics for data collection have no native solution for tracking the number of surveys completed. This is a time-consuming problem for researchers who are monitoring participant compliance over the assessment period.

Using GoogleAppscript, I have created a method to track participant responses in Qualtrics. The webapp sends this compliance information back to Qualtrics which can then be used to:

  • Restrict participants to only complete the assigned assessment one time.
  • Display compliance/incentives earned to participants at the beginning of their survey.
Text-message based ecological momentary assessment (EMA) studies that use Qualtrics for data collection have no native solution for personalizing fine-grain restrictions on the time and date a participant completes a survey. This poses challenges for researchers using Qualtrics for EMA data collection, especially who recruit participants on a rolling basis - as due dates for each participant will be different. This is further complicated by timezone changes for national studies.

Using Qualtrics features, I have created a system to assign response date/time windows based on a participant's time zone and the date they complete their enrollment. For example, a researcher could specify that a participant will take a survey for the next 7 days between 9am and 9pm. If the participant opens the survey at the wrong time or the wrong day, they will receive an error message.

Typical sliding scale quantities can be useful for a variety of things, but are best when the typical quantities a participant is reporting on is known. For drug researchers, especially those researching cannabis or other drugs with multiple routes of administration, coming up with a standardized measurement that allows for everyone can be challenging.

In Qualtrics, I have developed a way to collect information about people's typical quantification (e.g., typically take 3 puffs of a cannabis vape pen) and apply that to a sliding scale - allowing participants to respond to the question proportional to their typical use. Moving the slider results in scaling the numeric value of their custom response.

While Qualtrics has built in solutions to assign random codes to participants, there is no native solution to assign a code from a pre-generated list of codes. This is challenging for researchers who need to integrate accross multiple platforms or assign pre-purchased gift card codes for payment.

Using Google Appscript, I have developed a method to assign external codes to participants, ensuring that the same code is never given out twice. This has a wide variety of possible applications.

It's not uncommon for participants to attempt to sign up for studies twice - either purposely or on accident. While Qualtrics has some native solutions to check for duplicate responses, there is currently no native solution to check if someone has signed up using the same email address or phone number.

Using Google Appscript, I created a solution that checks for duplicate entries using the same identifying information and prevents the participant from progressing through the survey if they had previously completed it.

Sometimes researchers need to mail study materials to their participants - but a free response text field is a researcher's worst nightmare for getting accurate information.

Using freely available API, I developed an address validator that can be integrated into Qualtrics surveys to ensure that the address a participant provides is both real and in the proper format.

While Qualtrics contains some native support for limiting the number of surveys that are completed, it does not have a way to limit that based on the number of survey initiated and currently active.

Using Google Appscript, I created a way to track the number of surveys initiated, still in progress and within the allowed time period, and completed.

09.
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