Intensive Longitudinal Designs Research Articles

Dynamic links between daily anxiety symptoms and young adults’ daily well-being

ABSTRACT Background Anxiety disorders are prevalent among youth and adults. Increasing studies examined the dynamic associations between momentary fluctuations of anxiety and well-being, primarily focusing on the severity of general anxiety. Scant research has explored the co-fluctuations between different anxiety symptoms and mental health outcomes. Method The current study evaluated the multi-level factor structure and assessed the subclinical symptoms of generalized anxiety disorder (GAD), social phobia (SP), and panic disorder (PD) in a sample of non-clinical young adults (N = 271, Mage = 18 years, 72% female, 68% non-White) who participated in a 30-day daily diary study. Results Between persons, GAD, SP, and PD were positively correlated with depressive symptoms, stress, as well as emotional and peer problems. Within persons, both SP and PD were positively associated with stress, peer and emotional problems on the same day. Across days, there was positive reciprocal relation between PD and stress, whereas negative reciprocal link was observed between SP and emotional problems. Conclusions Current findings showed dynamic and distinct patterns in the associations between different anxiety symptoms and several mental health outcomes, which emphasizes the need to disentangle between- and within-person variation of anxiety symptoms with intensive longitudinal designs.

An Integrative Model of Alcohol-Facilitated Intimate Partner Aggression Perpetration in Sexual and Gender Diverse Couples.

Sexual and gender diverse (SGD) individuals are at heightened risk for intimate partner aggression (IPA) perpetration relative to their heterosexual and cisgender peers. Alcohol is a well-established cause of IPA perpetration in cisgender, heterosexual couples; however, minimal research has investigated the alcohol-IPA perpetration link in SGD couples. The relative lack of work in this area is a major barrier to addressing this health disparity. SGD individuals experience unique stressors related to their and/or their partner's intersecting minoritized identities that are critical to understanding alcohol-IPA etiology and informing culturally affirming intervention programming. We advance prior work by members of the authorship team (see Parrott et al., 2023a; Shorey et al., 2019) to propose an integrative theoretical model that invokes (1) the I3 Model to organize risk and resilience factors at the individual and dyadic level, and (2) Alcohol Myopia Theory to explain the mechanism by which proximal alcohol use facilitates IPA as a function of individual differences in those factors. This integrative model provides a framework to understand how the confluence of stigma, minority stressors, proximal alcohol use, and other factors contribute to IPA perpetration in SGD couples. Application of this integrative model has potential to facilitate more rigorous research (e.g., intensive longitudinal designs, dyadic analysis) focused on putative risk and resilience factors across the social ecology. Further, the model provides guidance for intervention development by identifying how individual (e.g., minority stress), relationship (e.g., relationship functioning), and structural factors (e.g., SGD stigma) interactively contribute to alcohol-facilitated IPA perpetration.

Enabling analytical power calculations for multilevel models with autocorrelated errors through deriving and approximating the precision matrix.

To unravel how within-person psychological processes fluctuate in daily life, and how these processes differ between persons, intensive longitudinal (IL) designs in which participants are repeatedly measured, have become popular. Commonly used statistical models for those designs are multilevel models with autocorrelated errors. Substantive hypotheses of interest are then typically investigated via statistical hypotheses tests for model parameters of interest. An important question in the design of such IL studies concerns the determination of the number of participants and the number of measurements per person needed to achieve sufficient statistical power for those statistical tests. Recent advances in computational methods and software have enabled the computation of statistical power using Monte Carlo simulations. However, this approach is computationally intensive and therefore quite restrictive. To ease power computations, we derive simple-to-use analytical formulas for multilevel models with AR(1) within-person errors. Analytic expressions for a model family are obtained via asymptotic approximations of all sample statistics in the precision matrix of the fixed effects. To validate this analytical approach to power computation, we compare it to the simulation-based approach via a series of Monte Carlo simulations. We find comparable performances making the analytic approach a useful tool for researchers that can drastically save them time and resources.

Towards a dynamic, idiographic approach to describing, explaining, and enhancing the development of SEL

Human development involves intraindividual changes across the life span. Developmental changes may involve instances of change common to all individuals (nomothetic change), change common to only some groups of individuals (differential change), and change specific to an individual (idiographic change). All three types of change must be measured to obtain a holistic and integrated understanding of any facet of human development. To date, most studies of the development of social and emotional learning (SEL) skills have focused on assessing nomothetic and differential change. The analysis of data derived from this research is variable-focused, and longitudinal studies with such a focus typically do not have enough time points to model intraindividual trajectories with sufficient power. Such trajectories require analysis wherein each individual is compared to themselves across time (ipsative analyses). Change-sensitive measures used within intensive longitudinal designs and analyses are suitable for ipsative analyses of participants and enable direct comparisons of whether intraindividual trajectories are reflected in group data. We discuss research findings reflecting that meaningful idiographic changes are not reflected in group data. We also argue that future studies of SEL should integrate idiographic data with differential and nomothetic data in the service of understanding the holistic development of SEL.

Secrecy in Everyday Life.

Secrecy is common, yet we know little about how it plays out in daily life. Most existing research on secrecy is based on methods involving retrospection over long periods of time, failing to capture secrecy "in the wild." Filling this gap, we conducted two studies using intensive longitudinal designs to present the first picture of secrecy in everyday life. We investigated momentary contextual factors and individual differences as predictors of mind-wandering to and concealing secrets. Contextual factors more consistently predicted secrecy experiences than person-level factors. Feeling more negative about a secret predicted a greater likelihood of mind-wandering to the secret. Interacting with the secret target was linked with a greater likelihood of secret concealment. Individual differences were not consistently associated with mind-wandering to secrets. We conclude that daily experiences with secrets may be better predicted by momentary feelings rather than individual differences such as personality traits.

Nocturnal hypoglycemia is associated with next day cognitive performance in adults with type 1 diabetes: Pilot data from the GluCog study

Objective: Individuals with type 1 diabetes (T1D) have increased risk for cognitive dysfunction and high rates of sleep disturbance. Despite associations between glycemia and cognitive performance using cross-sectional and experimental methods few studies have evaluated this relationship in a naturalistic setting, or the impact of nocturnal versus daytime hypoglycemia. Ecological Momentary Assessment (EMA) may provide insight into the dynamic associations between cognition, affective, and physiological states. The current study couples EMA data with continuous glucose monitoring (CGM) to examine the within-person impact of nocturnal glycemia on next day cognitive performance in adults with T1D. Due to high rates of sleep disturbance and emotional distress in people with T1D, the potential impacts of sleep characteristics and negative affect were also evaluated. Methods: This pilot study utilized EMA in 18 adults with T1D to examine the impact of glycemic excursions, measured using CGM, on cognitive performance, measured via mobile cognitive assessment using the TestMyBrain platform. Multilevel modeling was used to test the within-person effects of nocturnal hypoglycemia and hyperglycemia on next day cognition. Results: Results indicated that increases in nocturnal hypoglycemia were associated with slower next day processing speed. This association was not significantly attenuated by negative affect, sleepiness, or sleep quality. Conclusions: These results, while preliminary due to small sample size, showcase the power of intensive longitudinal designs using ambulatory cognitive assessment to uncover novel determinants of cognitive fluctuation in real world settings, an approach that may be utilized in other populations. Findings suggest reducing nocturnal hypoglycemia may improve cognition in adults with T1D.

Examining the Joint Factor Structure of Mania, Internalizing, and Thought Disorder Symptoms in a Large Online Sample

The optimal classification of mania symptoms within dimensional models of psychopathology remains unclear, due in part to most prior research using composite categorical ratings of mania/bipolar disorder rather than ratings of specific symptoms. We addressed this gap by examining the structure of self-reported symptom-level ratings of mania, internalizing, and thought disorder in adults (N = 1,112) recruited online who self-identified as having significant mental health histories. Although prior research suggests that mania symptoms overlap strongly with both internalizing and thought disorder, our results indicated much closer alignment with thought disorder than internalizing when examining a two-factor structure. Even when examining a three-factor structure, manic symptoms such as grandiosity loaded strongly onto a common factor with positive psychosis symptoms. However, symptoms such as racing thoughts and excessive energy loaded strongly onto a separate Agitation factor potentially representing a subspectrum within thought disorder. Agitation showed some unique correlates (e.g., with stimulant medication use), indicating heterogeneity within the broader thought disorder spectrum. Future directions extending this research include incorporating assessment of other psychopathology (e.g., externalizing), examining the cross-method consistency of results (e.g., when using interviews), and determining symptom course and interrelations using intensive longitudinal designs.

Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach.

The relationship between emotional states and immune system activity is characterized by bidirectional influences; however, limited information is available regarding the temporal dynamics of these effects. The goal of this investigation was to examine how these psychoimmunological interdependencies unfold over time under conditions of "life as it is lived". For this purpose, three healthy women collected their entire urine over a period of approximately two months at 12-h intervals (8 am-8 pm, 8 pm-8 am), resulting in a total of 112 to 126 consecutive measurements per subject. In addition, among other regular psychological assessments, the subjects completed the EWL-60-S, an emotional state questionnaire, each morning and evening. To assess the extent of T-helper type 1 immune activation, the neopterin per creatinine concentration was measured in the urine samples using high-pressure liquid chromatography. The dynamic relationships between the time series of the six emotional states (performance-related activity, general inactivity, extraversion/introversion, general feeling of comfort, emotional irritation, anxiety/depressiveness) and urinary neopterin levels were estimated in vector-autoregressive models and evaluated using Granger-causality tests, impulse-response functions and forecast error variance decompositions. The findings showed that emotional states explained up to 20% of the variance of urinary neopterin per creatinine levels, whereby most of the effects occurred within a period of approximately three days. Across all subjects, increases in anxiety/depressiveness and extraversion led to increases in neopterin levels, while a general feeling of comfort led to decreases in neopterin. These results emphasize the importance of the interdependencies between emotional states and immune system activity and showcase the potential that intensive longitudinal study designs offer for psychoneuroimmunology.

4 Associations Between Glycemia and Cognitive Performance in Adults with Type 1 Diabetes (T1D) using Continuous Glucose Monitoring (CGM) and Ecological Momentary Assessment (EMA)

Objective:Despite associations between hypoglycemia and cognitive performance using cross-sectional and experimental methods (e.g., Insulin clamp studies), few studies have evaluated this relationship in a naturalistic setting. This pilot study utilizes an EMA study design in adults with T1D to examine the impact of hypoglycemia and hyperglycemia, measured using CGM, on cognitive performance, measured via ambulatory assessment.Participants and Methods:Twenty adults with T1D (mean age 38.9 years, range 26-67; 55% female; 55% bachelor’s degree or higher; mean HbA1c = 8.3%, range 5.4% - 12.5%), were recruited from the Joslin Diabetes Center at SUNY Upstate Medical University. A blinded Dexcom G6 CGM was worn during everyday activities while completing 3-6 daily EMAs using personal smartphones. EMAs were delivered between 9 am and 9 pm, for 15 days. EMAs included 3 brief cognitive tests developed by testmybrain.org and validated for brief mobile administration (Gradual Onset CPT d-prime, Digit Symbol Matching median reaction time, Multiple Object Tracking percent accuracy) and self-reported momentary negative affect. Day-level average scores were calculated for the cognitive and negative affect measures. Hypoglycemia and hyperglycemia were defined as the percentage of time spent with a sensor glucose value <70 mg/dL or > 180 mg/dL, respectively. Daytime (8 am to 9 pm) and nighttime (9 pm to 8 am) glycemic excursions were calculated separately. Multilevel models estimated the between- and within-person association between the night prior to, or the same day, time spent in hypoglycemia or hyperglycemia and cognitive performance (each cognitive test was modeled separately). To evaluate the effect of between-person differences, person-level variables were calculated as the mean across the study and grand-mean centered. To evaluate the effect of within-person fluctuations, day-level variables were calculated as deviations from these person-level means.Results:Within-person fluctuations in nighttime hypoglycemia were associated with daytime processing speed. Specifically, participants who spent a higher percentage of time in hypoglycemia than their average percentage the night prior to assessment performed slower than their average performance on the processing speed test (Digit Symbol Matching median reaction time, b = 94.16, p = 0.042), while same day variation in hypoglycemia was not associated with variation in Digit Symbol Matching performance. This association remained significant (b = 97.46, p = 0.037) after controlling for within-person and between-person effects of negative affect. There were no significant within-person associations between time spent in hyperglycemia and Digit Symbol Matching, nor day/night hypoglycemia or hyperglycemia and Gradual Onset CPT or Multiple Object Tracking.Conclusions:Our findings from this EMA study suggest that when individuals with T1D experience more time in hypoglycemia at night (compared to their average), they have slower processing speed the following day, while same day hypoglycemia and hyperglycemia does not similarly impact processing speed performance. These results showcase the power of intensive longitudinal designs using ambulatory cognitive assessment to uncover novel determinants of cognitive variation in real world settings that have direct clinical applications for optimizing cognitive performance. Future research with larger samples is needed to replicate these findings.

Approaching academic adjustment on multiple time scales

In educational research, the process of socioemotional adaptation is often examined using panel studies with repeated assessments across months or years. Intensive longitudinal designs (e.g., daily diaries or experience sampling methods) allow to target this process on a shorter time scale (e.g., from day to day or week to week). In this contribution, we demonstrate that these two approaches yield similar but not interchangeable information about the process of socioemotional adaptation in university students. Results of an intensive longitudinal study with 250 university students revealed (a) mean level differences in reported study satisfaction depending on the time frame of the assessment, (b) differential change in study satisfaction for daily vs. weekly ratings across seven weeks in one semester, and (c) the prognostic utility of repeated weekly assessments of study satisfaction for retrospective assessments of study satisfaction. Findings illustrate the benefit of combining panel studies with intensive longitudinal studies. Implications for the assessment of experiences, memories of experiences, and global self-beliefs are discussed.

Dynamic structural equation models with binary and ordinal outcomes in Mplus.

Intensive longitudinal designs are increasingly popular, as are dynamic structural equation models (DSEM) to accommodate unique features of these designs. Many helpful resources on DSEM exist, though they focus on continuous outcomes while categorical outcomes are omitted, briefly mentioned, or considered as a straightforward extension. This viewpoint regarding categorical outcomes is not unwarranted for technical audiences, but there are non-trivial nuances in model building and interpretation with categorical outcomes that are not necessarily straightforward for empirical researchers. Furthermore, categorical outcomes are common given that binary behavioral indicators or Likert responses are frequently solicited as low-burden variables to discourage participant non-response. This tutorial paper is therefore dedicated to providing an accessible treatment of DSEM in Mplus exclusively for categorical outcomes. We cover the general probit model whereby the raw categorical responses are assumed to come from an underlying normal process. We cover probit DSEM and expound why existing treatments have considered categorical outcomes as astraightforward extension of the continuous case. Data from a motivating ecological momentary assessment study with a binary outcome are used to demonstrate an unconditional model, a model with disaggregated covariates, and a model for data with a time trend. We provide annotated Mplus code for these models and discuss interpretation of the results. We then discuss model specification and interpretation in the case of an ordinal outcome and provide an example to highlight differences between ordinal and binary outcomes. We conclude with a discussion of caveats and extensions.

2023 ABM Annual Meeting Abstracts Supplement

Objective: Changing individuals’ beliefs about the consequences of experiencing stress, stress mindset, has emerged as a technique for promoting adaptive outcomes under stress. This technique may be particularly valuable given the potential malleability of stress mindset through brief non-clinical interventions. However, there is limited data on the effect of these interventions on the management of “real-world” ecological stressors. The current pre-registered study aimed to evaluate the effectiveness of a novel imagery-based intervention for changing stress mindset, and for improving key stress-related outcomes. Methods: University students visited a research lab twice over a two-week period (N = 150). The intervention was delivered following baseline measures in Session 1, and follow-up measures were taken in Session 2. Measures were perceived distress, psychological wellbeing, positive and negative affect, perceived physical health, proactive coping behavior, perceived somatic symptoms, and academic engagement. Objective academic performance data were also retrieved from university records. The intervention was pilot tested prior to the trial and was delivered using videos that provided information about stress, followed by guided imagery exercises. The control group received only a practice guided imagery exercise not related to stress. Data were analyzed using mixed design ANOVAs. Results: The intervention had a large effect on stress mindset immediately postintervention, and at the two-week follow-up, relative to the control group. There were no effects of the intervention on the stress-related outcomes for the preregistered analyses of the whole sample. Further theory-guided analyses revealed robust effects of the intervention on positive and negative affect, perceived distress, proactive coping behavior, and academic performance at the follow-up in participants who had high levels of perceived distress at the baseline. Conclusions: Findings reveal that the intervention is a promising approach for changing stress mindset, and that stress mindset can improve wellbeing and performance in those experiencing high levels of perceived distress. Future research should seek to replicate these findings and employ intensive longitudinal designs to examine momentary activation of stress mindset and its relationship with key stress-related outcomes following the intervention.

Integrating multiple time-scales to advance relationship science

It is widely acknowledged that social relationships unfold across multiple time-scales. For example, social interactions that take place over moments, hours, or days also shape relationship change and outcomes over months, years, and even decades. These processes likely unfold in the reverse direction as well: experiences over longer-term timeframes may shape how people interact on a moment-to-moment basis. The increasing availability of intensive longitudinal data and measurement burst designs, as well as creativity in the contexts and modes of data collection--including social media, text messages, and event-contingent sampling--have exploded the possibilities for advancing knowledge on social relationships across multiple time-scales. The aim of this issue is to forward methodological innovations, empirical findings, and future directions in relationship science through the study of social and personal relationships across multiple time-scales.

Development, validation, and comparison of self-report measures for positive and negative affect in intensive longitudinal research.

Affect is central to human functioning. Due to its dynamic nature, it is often studied with intensive longitudinal designs, yet the development and validation of measures for this purpose have received little systematic attention. In the present study, we review theoretical and methodological conceptualizations of affect that are relevant for repeated momentary positive and negative affect measurement. We developed a questionnaire including six dimensional affect and 22 discrete emotion items that allowed us to measure alternative momentary affect constructs with single- and multi-item scores. The items were operationalized into two bipolar, six positive, and six negative momentary affect measures. We compared the measures with three quantifiable criteria of construct validity: the amount of within-person variance, within-person sensitivity to emotional events, and between-person relations to depression and neuroticism. The criteria were empirically investigated with a preregistered experience sampling study (N = 153). We identify the measures with the strongest validity evidence across all criteria and evaluate their suitability for specific research questions, by looking at individual criteria. The overall findings provide strong evidence supporting the use of single-item measures of momentary affect. Furthermore, single items provide an efficient low-burden assessment tool that is comparable across studies. For multi-item scales, it is recommended to combine discrete emotion items of similar intensity, while simply selecting and averaging discrete emotion items is problematic concerning our validity criteria. In the future, we encourage the field to conduct systematic research on the use and interpretation of scores that aggregate different emotion items together. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

"I Know Myself Again, Which Makes Me Motivated for Life": Feasibility and Acceptability of Using Experience Sampling Methods With Trauma-Exposed Sexual Minority Women.

Intensive longitudinal designs (e.g., experience sampling methods [ESMs]) hold promise for examining the dynamic interplay between daily adversity, coping strategies, and behavioral and mental health issues among marginalized populations. However, few studies have used intensive longitudinal designs with sexual minority women (SMW), an understudied and at-risk population. We assessed feasibility and acceptability of using once-daily, interval-contingent ESM with 161 trauma-exposed SMW (Mage = 29.1, SD = 7.57); 20.5% nonbinary; 32.3% queer; 52.2% people of color; 14.3% with annual incomes ≤$9,999; and 30.4% in Southern United States (U.S.). SMW completed one comprehensive online baseline assessment and once-daily brief online assessments for 14 days. Daily surveys assessed past-24-hour stressors, stress responses, and behavioral and mental health symptoms. At the end of the 14-day ESM period, SMW answered three open-ended questions about participating in this study and about research with SMW. Regarding feasibility, 151 participants (94.0%) initiated the post-baseline ESM study portion and 72 (45.0%) completed all 14 daily surveys. An average of 11.70 (median = 13, SD = 3.31) daily surveys (83.5%) were completed by those who initiated the ESM. ESM completion level varied by race/ethnicity and U.S. region. Qualitative acceptability data revealed several themes, namely that SMW (1) enjoyed participating and felt positively about the ESM experience, (2) felt supported to reflect on impacts of early and ongoing stressors, (3) appreciated the chance to self-reflect and challenge existing thought patterns and coping behaviors, (4) recognized their capacity to tolerate trauma-related distress, (5) recommended that researchers focus on SMW's diverse stressors and daily experiences, (6) wanted a rationale for providing sensitive information and more space to narrate their experiences, and (7) recognized the need for affirmative treatment and policies. Findings could inform modifications to ESM protocols to improve their feasibility and acceptability among trauma-exposed SMW and promote ongoing utility of this valuable method.

Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones.

The development of mobile technology with substantial computing power (ie, smartphones) has enabled the adaptation of performance-based cognitive assessments to remote administration and novel intensive longitudinal study designs (eg, measurement burst designs). Although an "ambulatory" cognitive assessment paradigm may provide new research opportunities, the adaptation of conventional measures to a mobile format conducive to intensive repeated measurement involves balancing measurement precision, administration time, and procedural consistency. Across 3 studies, we adapted "complex span" tests of working memory capacity (WMC) for ultra-brief, smartphone-based administration and examined their reliability, sufficiency, and associations with full-length, laboratory-based computerized administrations. In a laboratory-based setting, study 1 examined associations between ultra-brief smartphone adaptations of the operation span, symmetry span, and rotation span tasks and full-length computerized versions. In study 2, we conducted a 4-day ecological momentary assessment (EMA) study (4 assessments per day), where we examined the reliability of ultra-brief, ambulatory administrations of each task. In study 3, we conducted a 7-day EMA study (5 assessments per day) involving the ultra-brief rotation span task, where we examined reliability in the absence of extensive onboarding and training. Measurement models in study 1 suggest that comparable estimates of latent WMC can be recovered from ultra-brief complex span task performance on smartphones. Significant correlations between the ultra-brief tasks and respective full-length versions were observed in study 1 and 2, ranging from r=0.4 to r=0.57. Results of study 2 and study 3 suggest that reliable between-person estimates of operation span, symmetry span, rotation span, and latent WMC can be obtained in 2-3 ultra-brief administrations (equivalent to <1 day of testing in an EMA study design). The results of study 3 replicated our findings, showing that reliable between-person estimates of rotation span may be obtained in as few as 2 ultra-brief administrations in the absence of extensive onboarding and training. In addition, the modification of task parameterization for study 3 improved the estimates of reliability of within-person change. Ultra-brief administration of complex span tasks on smartphones in a measurement burst design can generate highly reliable cross-sectional estimates of WMC. Considerations for future mobile cognitive assessment designs and parameterizations are discussed.

Intensive longitudinal mediation in Mplus.

Much of the existing longitudinal mediation literature focuses on panel data where relatively few repeated measures are collected over a relatively broad timespan. However, technological advances in data collection (e.g., smartphones, wearables) have led to a proliferation of short duration, densely collected longitudinal data in behavioral research. These intensive longitudinal data differ in structure and focus relative to traditionally collected panel data. As a result, existing methodological resources do not necessarily extend to nuances present in the recent influx of intensive longitudinal data and designs. In this tutorial, we first cover potential limitations of traditional longitudinal mediation models to accommodate unique characteristics of intensive longitudinal data. Then, we discuss how recently developed dynamic structural equation models (DSEMs) may be well-suited for mediation modeling with intensive longitudinal data and can overcome some of the limitations associated with traditional approaches. We describe four increasingly complex intensive longitudinal mediation models: (a) stationary models where the indirect effect is constant over time and people, (b) person-specific models where the indirect effect varies across people, (c) dynamic models where the indirect effect varies across time, and (d) cross-classified models where the indirect effect varies across both time and people. We apply each model to a running example featuring a mobile health intervention designed to improve health behavior of individuals with binge eating disorder. In each example, we provide annotated Mplus code and interpretation of the output to guide empirical researchers through mediation modeling with this increasingly popular type of longitudinal data. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Examining the within- and between-person structure of a short form of the positive and negative affect schedule: A multilevel and dynamic approach.

Increasing research uses intensive longitudinal designs to examine antecedents and consequences associated with dynamic affective processes. These studies often rely on the Positive and Negative Affect Schedule (PANAS) to measure affect. Studies assessing the structure of the PANAS are largely cross-sectional in nature and cannot always disentangle within-person variability from between-person differences in affect. A paucity of studies examines structural similarities and differences in affect at the between- and within-person levels, and few have done so with short-form versions of the PANAS. This study investigates the multilevel factor structure of the 10-item PANAS-short-form in a sample of young adults (n = 272) measured daily consecutively over 1 month. Additionally, dynamic relations between positive and negative affect, depressive symptoms, stress, and physical symptoms were examined. Results support a three factors within and two factors between multilevel structural model. Distinct dynamic relations were observed among positive affect, negative affect, stress, and physical symptoms at the within level. Positive and negative affect were correlated with depressive symptoms, stress, and physical symptoms at the between level. Findings indicate the need to disentangle structural components of positive and negative affect when conducting intensive longitudinal studies to examine correlates linked to dynamic affective processes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Hours high as a proxy for marijuana use quantity in intensive longitudinal designs

BackgroundMeasuring marijuana use quantity in survey research is complicated due to wide variation in the types (e.g., flower, edibles) and potency of marijuana products and in the modes (e.g., smoking, dabbing) used to consume products. There is currently no gold standard marijuana use quantity measure for survey research. This study examined whether number of hours high can be used as a proxy for marijuana use quantity in survey research, particularly in intensive longitudinal designs. MethodsParticipants came from a community sample of young adults participating in a longitudinal study on simultaneous alcohol and marijuana use that used a longitudinal measurement-burst design in which participants completed surveys on up to 14 consecutive days in up to five bursts across nearly two calendar years. Those who reported using marijuana on at least one sampled day were included in present analyses (N = 379; Mage = 21.6; 50.7 % female). Hypotheses were tested using Poisson multilevel models and a logistic regression. ResultsWithin persons, mode-specific marijuana use quantity variables predicted same-day number of hours high indicating evidence of initial criterion validity. In turn, hours high predicted same-day negative marijuana-related consequences indicating evidence of proximal predictive validity. Between persons, participants’ average number of hours high was positively associated with their odds of possible cannabis use disorder following the last burst demonstrating distal predictive validity. ConclusionsNumber of hours high may be a parsimonious proxy for measuring marijuana use quantity (regardless of mode of use) in survey research, particularly in intensive longitudinal designs.

Examining the Concurrent and Predictive Validity of Single Items in Ecological Momentary Assessments.

Although single items can save time and burden in psychology research, concerns about their reliability have made the use of multiple-item measures the default standard practice. Although single items cannot demonstrate internal reliability, their criterion validity can be compared with multiple-item measures. Using ecological momentary assessment data, we evaluated repeated measures correlations and constructed multilevel cross-lagged models to assess concurrent and predictive validity of single- and multiple-item measures. Correlations between the single- and multiple-item measures ranged from .24 to .61. In 27 of 29 unique single-item predictor models, single items demonstrated significant predictive validity, and in one of eight sets of comparisons, a single-item predictor exhibited a larger effect size than its multiple-item counterpart. Although multiple-item measures generally performed better than single items, the added benefit of multiple items was modest in most cases. The present data provide support for the use of single-item measures in intensive longitudinal designs.