Stephanie Lane
Biographic Data
| ID | 6093486 |
|---|---|
| NAME | Stephanie Lane |
| GIVEN NAMES | Stephanie |
| FAMILY NAME | Lane |
| SIGNATURE | LANE S |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0000-0002-5267-5611 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Reaching youth and young adult audiences online with tobacco prevention messaging
Introduction As part of its comprehensive tobacco control program , the Bureau of Tobacco Free Florida (BTFF) conducts a statewide campaign called The Facts Now that primarily uses digital and social media to reach youth and young adults. The campaign disseminates messages about the harms of tobacco and nicotine via paid ads and organic posts on digital and social media platforms, and has a campaign website, TheFactsNow.com. The campaign is strat…
Content analysis of conversations on Reddit
Introduction: On January 2, 2020, the FDA announced a policy focused in part on prioritizing enforcement of flavored (other than tobacco- or menthol-flavored) cartridge-based electronic nicotine delivery systems (ENDS) without premarket authorization. Methods: We used a query to identify Reddit conversations relevant to the policy from January 2 to May 6, 2020. Our sample included 576 posts (46 posts and 530 accompanying comments). Two analysts c…
Changes in industry marketing of electronic nicotine delivery systems on social media following FDA's prioritized enforcement policy
Background In February 2020, FDA prioritized enforcement of flavored (other than tobacco- or menthol-flavored) cartridge-based electronic nicotine delivery systems (ENDS) without premarket authorization. To explore potential marketing changes, we conducted a content analysis of brands' social media posts, comparing devices and flavors before/after the policy. Methods We sampled up to three posts before (November 6, 2019–February 5, 2020) and afte…
Initial validation of the trust of automated systems test (Toast)
Trust is a key determinant of whether people rely on automated systems in the military and the public. However, there is currently no standard for measuring trust in automated systems. In the present studies, we propose a scale to measure trust in automated systems that is grounded in current research and theory on trust formation, which we refer to as the Trust in Automated Systems Test (TOAST). We evaluated both the reliability of the scale str…
Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data
"Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data." Multivariate Behavioral Research, 52(1), pp. 126–127
Unsupervised Classification During Time-Series Model Building
Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in tha…
The separation of between-person and within-person components of individual change over time
OBJECTIVE: Although recent statistical and computational developments allow for the empirical testing of psychological theories in ways not previously possible, one particularly vexing challenge remains: how to optimally model the prospective, reciprocal relations between 2 constructs as they developmentally unfold over time. Several analytic methods currently exist that attempt to model these types of relations, and each approach is successful t…
Defining Engagement in Adolescent Substance Abuse Treatment
Youth engagement in substance use treatment is an important construct for research and practice, but it has been thinly and inconsistently defined in the literature. Most research has measured engagement by initiation, attendance, and retention in treatment. Because youth generally enter substance use treatment as a result of compliance with external requirements, defining engagement in this way might be insufficient. This qualitative participato…
Defining Engagement in Adolescent Substance Abuse Treatment
Youth engagement in substance use treatment is an important construct for research and practice, but it has been thinly and inconsistently defined in the literature. Most research has measured engagement by initiation, attendance, and retention in treatment. Because youth generally enter substance use treatment as a result of compliance with external requirements, defining engagement in this way might be insufficient. This qualitative participato…
Defining Engagement in Adolescent Substance Abuse Treatment
Youth engagement in substance use treatment is an important construct for research and practice, but it has been thinly and inconsistently defined in the literature. Most research has measured engagement by initiation, attendance, and retention in treatment. Because youth generally enter substance use treatment as a result of compliance with external requirements, defining engagement in this way might be insufficient. This qualitative participato…
The separation of between-person and within-person components of individual change over time
OBJECTIVE: Although recent statistical and computational developments allow for the empirical testing of psychological theories in ways not previously possible, one particularly vexing challenge remains: how to optimally model the prospective, reciprocal relations between 2 constructs as they developmentally unfold over time. Several analytic methods currently exist that attempt to model these types of relations, and each approach is successful t…
Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data
"Evaluating the Use of the Automated Unified Structural Equation Model for Daily Diary Data." Multivariate Behavioral Research, 52(1), pp. 126–127
Unsupervised Classification During Time-Series Model Building
Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in tha…
Initial validation of the trust of automated systems test (Toast)
Trust is a key determinant of whether people rely on automated systems in the military and the public. However, there is currently no standard for measuring trust in automated systems. In the present studies, we propose a scale to measure trust in automated systems that is grounded in current research and theory on trust formation, which we refer to as the Trust in Automated Systems Test (TOAST). We evaluated both the reliability of the scale str…
Changes in industry marketing of electronic nicotine delivery systems on social media following FDA's prioritized enforcement policy
Background In February 2020, FDA prioritized enforcement of flavored (other than tobacco- or menthol-flavored) cartridge-based electronic nicotine delivery systems (ENDS) without premarket authorization. To explore potential marketing changes, we conducted a content analysis of brands' social media posts, comparing devices and flavors before/after the policy. Methods We sampled up to three posts before (November 6, 2019–February 5, 2020) and afte…
Content analysis of conversations on Reddit
Introduction: On January 2, 2020, the FDA announced a policy focused in part on prioritizing enforcement of flavored (other than tobacco- or menthol-flavored) cartridge-based electronic nicotine delivery systems (ENDS) without premarket authorization. Methods: We used a query to identify Reddit conversations relevant to the policy from January 2 to May 6, 2020. Our sample included 576 posts (46 posts and 530 accompanying comments). Two analysts c…
Reaching youth and young adult audiences online with tobacco prevention messaging
Introduction As part of its comprehensive tobacco control program , the Bureau of Tobacco Free Florida (BTFF) conducts a statewide campaign called The Facts Now that primarily uses digital and social media to reach youth and young adults. The campaign disseminates messages about the harms of tobacco and nicotine via paid ads and organic posts on digital and social media platforms, and has a campaign website, TheFactsNow.com. The campaign is strat…
Computer Science (6 works) · Data mining (3 works) · Machine learning (3 works) · Mental Health Research Topics (3 works) · Political science (3 works) · Psychology (3 works) · Smoking Behavior and Cessation (3 works) · Advertising (2 works) · Applied Psychology (2 works) · Artificial Intelligence (2 works)