Special Call for Papers

Special Issue of Research on Child and Adolescent Psychopathology

Special Issue Title

Novel Insights into the Externalizing Psychopathology Spectrum in Childhood and Adolescence from Intensive Longitudinal Data

Guest Editors

Yao Zheng, Ph.D. (University of Alberta; yao.zheng@ualberta.ca)

Natalie Goulter, Ph.D. (Simon Fraser University; ngoulter@sfu.ca)

Overall Aims of the Special Issue

  • Demonstrate the state-of-the-art knowledge gleaned through intensive longitudinal data on various dimensions of the externalizing psychopathology spectrum
  • A collection of rigorous empirical studies using innovative statistical analytic techniques suitable for intensive longitudinal data
  • A theoretical discussion of the implications of intensive longitudinal data and corresponding analytic techniques for the development of externalizing psychopathology spectrum across different timescales

Overview of the Special Issue

The externalizing psychopathology spectrum during childhood and adolescence is highly prevalent; however, current understanding is predominantly founded on cross-sectional research or conventional longitudinal research with retrospective reporting or long-term intervals (e.g., 1-year). Recent research has leveraged advances in technology that now allows us to conduct intensive assessments over a relatively shorter time period. Broadly termed intensive longitudinal data, these data are collected through ecological momentary assessments, experience sampling, or daily diary designs, as well as through other formats (e.g., neuroimaging data, behavioral observations). Intensive longitudinal data can minimize recall bias and enhance ecological validity relative to traditional assessments. In addition, these data also offer the unique opportunity to examine short-term developmental processes and dynamics, their changes over the long-term, as well as links with long-term developmental outcomes.

In this Special Issue, Novel Insights into the Externalizing Psychopathology Spectrum in Childhood and Adolescence from Intensive Longitudinal Data, we will bring together a selection of original and rigorous empirical papers to demonstrate the unique and value-added benefits of intensive longitudinal data for understanding the externalizing psychopathology spectrum during childhood and adolescence, especially through the use of innovative statistical modeling techniques.

All proposed manuscripts in this Special Issue will provide original empirical research on the externalizing psychopathology spectrum during childhood and/or adolescence with intensive longitudinal data. The externalizing psychopathology spectrum is broadly defined and may include conduct problems, disruptive behaviors, callous-unemotional traits, conduct disorder symptoms, oppositional defiant disorder symptoms, attention-deficit/hyperactivity disorder symptoms, irritability, impulsivity, sensation seeking, antisocial behavior, and substance use. Intensive longitudinal data can be collected through various designs (e.g., ecological momentary assessments, experience sampling, daily diary, measurement burst design, behavioral observation, dyadic design) and timescales (e.g., second-to-second, hour-to-hour, day-to-day, week-to-week). Studies with other intensive longitudinal measures (e.g., parent-child and peer relationships), multiple levels of analysis (e.g., neural, genetic, physiological), or clinical trials designs (e.g., pre- vs. post-, randomized controlled trial) are also welcome; however, we would prefer studies where the externalizing psychopathology spectrum is measured repeatedly (multiple times longitudinally in conventional designs). We strongly welcome submissions with various designs and different timescales, as well as state-of-the-art statistical analytic techniques. These would include (but not limited to) vector autoregressive modeling (VAR), longitudinal network analysis, dynamical systems modeling, mixture modeling (e.g., multilevel latent class/profile model), group iterative multiple model estimation (GIMME), person-specific and idiographic approaches, and psychometric works employing multilevel exploratory/confirmatory factor analyses. Undergraduate samples will be considered; however, authors should provide a strong developmental justification and rationale. We particularly encourage submissions from authors and with samples of diverse backgrounds, represented by countries, cultural, racial/ethnic, LGBTQ2+ and other diversities. Pre-registration and inclusion of code and data is strongly encouraged.

Authors interested in contributing a manuscript for this Special Issue should submit a letter of intent by February 15, 2022, including the following: (1) tentative title; (2) brief description of 500 words or less (structured as Background, Methods/Sample, Proposed Analyses); (3) brief justification of how the proposed submission contributes to one or more of the aims of the Special Issue; and (4) author affiliations and contact information for the Corresponding Author. The Guest Editors will review the letters of intent for fit with the Special Issue and work to provide an inclusive set of papers that best advances theoretical and empirical knowledge regarding the externalizing psychopathology spectrum in childhood and adolescence with intensive longitudinal data.

Letters of intent should be sent electronically as a PDF or word file to Yao Zheng (yao.zheng@ualberta.ca) and Natalie Goulter (ngoulter@sfu.ca) with the subject line noted as "Special Issue on ILD and Externalizing." All letters of intent will be reviewed by March 15, 2022, and invited contributors will be asked to submit a full manuscript through the online review system by August 1, 2022. Invited contributors may be asked to serve as reviewers for other invited manuscripts.

Questions concerning letters of intent can be directed to Yao Zheng and/or Natalie Goulter.