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Adolescent mental health and well-being have been adversely impacted by the COVID-19 pandemic. In this preregistered longitudinal study, we evaluated whether adolescents’ well-being improved after playing the multiplayer serious game app Grow It! During the first lockdown (May–June 2020), 1282 Dutch adolescents played the Grow It! app (age = 16.67, SD = 3.07, 68% girls). During the second lockdown (December–May 2020 onwards), an independent cohort of 1871 adolescents participated (age = 18.66, SD = 3.70, 81% girls). Adolescents answered online questionnaires regarding affective and cognitive well-being, depressive symptoms, anxiety, and impact of COVID-19 at baseline. Three to six weeks later, the baseline questionnaire was repeated and user experience questions were asked (N = 462 and N = 733 for the first and second cohort). In both cohorts, affective and cognitive well-being increased after playing the Grow It! app (t = − 6.806, p < 0.001; t = − 6.77, p < 0.001; t = − 6.12, p < 0.001; t = − 5.93, p < 0.001; Cohen’s d range 0.20–0.32). At the individual level, 41–53% of the adolescents increased in their affective or cognitive well-being. Adolescents with higher risk profiles (i.e., more depressive symptoms, lower atmosphere at home, and more COVID-19 impact) improved more strongly in their well-being. Positive user evaluations and app engagement were unrelated to changes in affective and cognitive well-being. This proof-of-concept study tentatively suggests that Grow It! supported adolescents during the pandemic.

Person–environment interactions might ultimately drive longer term development. This experience sampling study (Data collection: 2019/20 the Netherlands) assessed short-term linkages between parent–adolescent interaction quality and affect during 2281 interactions of 124 adolescents (Mage = 15.80, SDage= 1.69, 59% girls, 92% Dutch, Education: 25% low, 31% middle, 35% high, 9% other). Adolescents reported on parent–adolescent interaction quality (i.e., warmth and conflict) and momentary positive and negative affect five to six times a day, for 14 days. Preregistered dynamic structural equation models (DSEM) revealed within-family associations between parent–adolescent interaction quality and adolescent affect (concurrently: r = −.22 to.39; lagged effects: ß = −.17 to.15). These effects varied significantly between families. These findings stress the need for more person-specific research on parenting processes.

Item does not contain fulltext, Research has shown that some individuals benefit from using social media because it may help them to obtain social capital. This article questions who are most likely to benefit: the socially rich (i.e., individuals with a preference for social interaction, support, or without interpersonal problems) or the socially poor? It is hard to provide a definite answer to this question: Previous empirical studies have yielded mixed findings and were difficult to compare due to varying conceptualizations and analytic approaches. To better understand the complex interplay between individuals’ social media use and social capital, we discuss the added value of within-person analyses and person-specific designs.

This Dutch multi-informant study examined effects of the first COVID-19 lockdown (LD; e.g., school closure and social restrictions) on parent-adolescent relationships. Four biweekly measurements before and 4 biweekly measurements during the LD were collected among adolescents (N = 179, Mage = 14.26 years, 69% girls) and their parents (N = 144, Mage = 47.01 years, 81% female). Parents' educational level was relatively diverse: 12% low (high school or lower), 33% medium (vocational training), and 55% high (college or university). Adolescents and parents reported on parental support, parent-adolescent conflict, autonomy support, psychological control, behavioral control, and time spent on various activities. Adolescents spent more time with their parents during LD (before M = 8.6 hr, during M = 12.7 hr), but less time with friends (before M = 8.1 hr, during M = 2.1 hr), and reported on average 13 COVID-19-related rules. Preregistered piecewise growth models confirmed that autonomy support decreased immediately during the LD, but no mean level changes were observed in the other relationship dimensions. During the first 2 months of the LD, parents reported gradual increases in autonomy support and decreases in behavioral control. Moreover, significant differences between families were found in sudden and more gradual relationship changes, which correlated strongly with pre-LD characteristics of the relationship, and in some models with adolescent oppositional defiance and legitimacy beliefs. In sum, findings suggest resilience in most families, but also heterogeneity: Some families were negatively affected, and others were positively affected. A tailored approach is therefore needed to mitigate the impact of COVID-19 on family functioning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

28 oktober 2021, Item does not contain fulltext, A recurring hypothesis in the literature is that "passive" social media use (browsing) leads to negative effects on well-being. This preregistered study investigated a rival hypothesis, which states that the effects of browsing on well-being depend on person-specific susceptibilities to envy, inspiration, and enjoyment. We conducted a three-week experience sampling study among 353 adolescents (13-15 years, 126 assessments per adolescent). Using an advanced N = 1 method of analysis, we found sizeable heterogeneity in the associations of browsing with envy, inspiration, and enjoyment (e.g., for envy ranging from β = -.44 to ß = +.71). The Passive Social Media Use Hypothesis was confirmed for 20% of adolescents and rejected for 80%. More adolescents with browsing-induced envy experienced negative effects on affective well-being (25%) than adolescents with no browsing-induced envy (13%). Conversely, more adolescents with browsing-induced enjoyment experienced positive effects on affective well-being (47%) than adolescents with no browsing-induced enjoyment (9%). Lay summary: 'A recurrent question among academics is whether social media browsing negatively affects teens' well-being. Some scholars believe that this browsing can lead to envy and declines in well-being. Others think that it can also lead to inspiration and enjoyment, and to increases in well-being. To investigate which scholars are right, we asked 353 teens to report six times a day for a period of three weeks how often they had browsed Instagram and Snapchat in the past hour. Furthermore, we asked them how much envy, inspiration, and enjoyment they had experienced in that hour, and how well they felt at that moment. We found sizeable differences among teens in the effects of browsing on well-being at that moment. While one group of teens (20%) felt worse after browsing, another group (17%) felt better. More teens who had felt envy while browsing, experienced negative effects on well-being than teens who di

Item does not contain fulltext, The aim of this preregistered study was to compare and explain the effects of (a) time spent on social media (SM) and (b) the valence (positivity or negativity) of SM experiences on adolescents' self-esteem. We conducted a 3-week experience sampling (ESM) study among 300 adolescents (13-16 years; 126 assessments per adolescent; 21,970 assessments in total). Using an N = 1 method of analysis (Dynamic Structural Equation Modeling [DSEM]), we found that the within-person effects of time spent with SM on selfesteem ranged from strongly negative (ß = -.31) to moderately positive (β = +.27) across adolescents. Across all ESM observations of the valence of adolescents' SM experiences, 55% of these experiences were positive, 18% negative, and 27% neutral. Finally, 78% of adolescents experienced a positive within-person effect of the valence of SM experiences on self-esteem (β ≥ +.05), 19% no to a very small effect (-.05 < ß < +.05), and 3% a negative effect (ß <= -.05). These sizeable differences in person-specific effects could be explained by adolescents’ self-esteem level, self-esteem instability, and their tendency to base their self-esteem on peer approval.

13 december 2021, Item does not contain fulltext, This study investigated the effects of active private, passive private, and passive public social media use on adolescents’ affective well-being. Intensive longitudinal data (34,930 assessments in total) were collected through a preregistered three-week experience sampling method study among 387 adolescents. N = 1 time series were investigated, using Dynamic Structural Equation Modeling. Findings showed that different types of social media use very rarely yielded different effects within one and the same adolescent: 45% of adolescents experienced no changes in well-being due to any of the three types of social media use, 28% only experienced declines in well-being, and 26% only experienced increases in well-being. Only one adolescent experienced the theoretically expected effect pattern of a positive effect of active private and passive private use and negative effect of passive public use. Together, the findings suggest that the active-passive use dichotomy in social media research is less clear-cut than it might seem.

Item does not contain fulltext, Eighteen earlier studies have investigated the associations between social media use (SMU) and adolescents' self-esteem, finding weak effects and inconsistent results. A viable hypothesis for these mixed findings is that the effect of SMU differs from adolescent to adolescent. To test this hypothesis, we conducted a preregistered three-week experience sampling study among 387 adolescents (13-15 years, 54% girls). Each adolescent reported on his/her SMU and self-esteem six times per day (126 assessments per participant; 34,930 in total). Using a person-specific, N = 1 method of analysis (Dynamic Structural Equation Modeling), we found that the majority of adolescents (88%) experienced no or very small effects of SMU on self-esteem (-.10 < ß < .10), whereas 4% experienced positive (.10 <= ß <= .17) and 8% negative effects (-.21 <= ß <= -.10). Our results suggest that person-specific effects can no longer be ignored in future media effects theories and research

Contains fulltext : 239445.pdf (Publisher’s version ) (Closed access), The formation and maintenance of friendship closeness is an important developmental task in adolescence. To obtain insight in real-time processes that may underly the development of friendship closeness in middle adolescence, this preregistered experience sampling study [ESM] investigated the effects of social media use on friendship closeness. The study was conducted among 387 adolescents (54% girls; Mage = 14.11 years; 96% Dutch) from different educational tracks (44% lower prevocational secondary education, 31% intermediate general secondary education, 26% academic preparatory education). Adolescents reported six times per day for 3 weeks on their Instagram, WhatsApp, and Snapchat use in the previous hour and their momentary experiences of friendship closeness (126 assessments; 34,930 observations). Multilevel analyses revealed positive between-person associations of friendship closeness with general WhatsApp use and Instagram use with close friends. In contrast, at the within-person level, we found small negative overall associations of general WhatsApp use and Instagram use (with and without close friends) with friendship closeness. However, there was large heterogeneity in the person-specific effect sizes of the within-person associations of social media use with friendship closeness. For example, person-specific effect sizes of the association of Instagram use with close friends with friendship closeness ranged from ß = -.745 to ß = .697. These results underline the importance of acknowledging person-specific effects in developmental and media effect theories.

Contains fulltext : 231937.pdf (Publisher’s version ) (Open Access), Introduction: This study aimed at differentiating normative developmental turmoil from prodromal depressive symptoms in adolescence. Method: Negative and positive mood (daily) in different contexts (friends, home, school), and (subsequent) depressive symptoms were assessed in Dutch adolescents. Results & conclusion: Mixture modeling on one cross-sectional study, using a newly developed questionnaire (CSEQ; subsample 1a; n = 571; girls 55.9%; Mage = 14.17) and two longitudinal datasets with Experience Sampling Methods data (subsample 1b: n = 241; Mage = 13.81; 62.2% girls, sample 2: n = 286; 59.7% girls; Mage = 14.19) revealed three mood profiles: 18–24% "happy", 43–53% "typically developing", and 27–38% "at-risk". Of the "at-risk" profile between 12.5% and 25% of the adolescents scored above the clinical cut-off for depression. These mood profiles predicted later depressive symptoms, while controlling for earlier symptoms. In subsample 1b, parents were not always aware of the mental health status of their adolescent.

Contains fulltext : 239197.pdf (Publisher’s version ) (Open Access), Who benefits most from using social media is an important societal question that is centered around two opposing hypotheses: the rich-get-richer versus the poor-get-richer hypothesis. This study investigated the assumption that both hypotheses may be true, but only for some socially rich and some socially poor adolescents and across different time intervals. We employed a state-of-the-art measurement burst design, consisting of a three-week experience sampling study and seven biweekly follow-up surveys. Person-specific analyses of more than 70,000 observations from 383 adolescents revealed that 12% of the socially rich adolescents (high in friendship support or low in loneliness) felt closer to their friends after using social media, as opposed to about 25% of the socially poor adolescents (low in friendship support or high in loneliness). However, only 1 to 6% of all adolescents (socially rich and poor) felt closer both in the short- and longer-term. These results indicate that the rich-get-richer and the poor-get-richer hypotheses can hold both, but for different adolescents.

Introduction: This study aimed at differentiating normative developmental turmoil from prodromal depressive symptoms in adolescence. Method: Negative and positive mood (daily) in different contexts (friends, home, school), and (subsequent) depressive symptoms were assessed in Dutch adolescents. Results & conclusion: Mixture modeling on one cross-sectional study, using a newly developed questionnaire (CSEQ; subsample 1a; n = 571; girls 55.9%; Mage = 14.17) and two longitudinal datasets with Experience Sampling Methods data (subsample 1b: n = 241; Mage = 13.81; 62.2% girls, sample 2: n = 286; 59.7% girls; Mage = 14.19) revealed three mood profiles: 18–24% "happy", 43–53% "typically developing", and 27–38% "at-risk". Of the “at-risk” profile between 12.5% and 25% of the adolescents scored above the clinical cut-off for depression. These mood profiles predicted later depressive symptoms, while controlling for earlier symptoms. In subsample 1b, parents were not always aware of the mental health status of their adolescent.

Drawing inferences about dynamics of psychological constructs from intensive longitudinal data requires the measurement model (MM)-indicating how items relate to constructs-to be invariant across subjects and time-points. When assessing subjects in their daily life, however, there may be multiple MMs, for instance, because subjects differ in their item interpretation or because the response style of (some) subjects changes over time. The recently proposed "latent Markov factor analysis" (LMFA) evaluates (violations of) measurement invariance by classifying observations into latent "states" according to the MM underlying these observations such that MMs differ between states but are invariant within one state. However, LMFA is limited to normally distributed continuous data and estimates may be inaccurate when applying the method to ordinal data (e.g., from Likert items) with skewed responses or few response categories. To enable researchers and health professionals with ordinal data to evaluate measurement invariance, we present "latent Markov latent trait analysis" (LMLTA), which builds upon LMFA but treats responses as ordinal. Our application shows differences in MMs of adolescents' affective well-being in different social contexts, highlighting the importance of studying measurement invariance for drawing accurate inferences for psychological science and practice and for further understanding dynamics of psychological constructs.

Drawing inferences about dynamics of psychological constructs from intensive longitudinal data requires the measurement model (MM)—indicating how items relate to constructs—to be invariant across subjects and time-points. When assessing subjects in their daily life, however, there may be multiple MMs, for instance, because subjects differ in their item interpretation or because the response style of (some) subjects changes over time. The recently proposed “latent Markov factor analysis” (LMFA) evaluates (violations of) measurement invariance by classifying observations into latent “states” according to the MM underlying these observations such that MMs differ between states but are invariant within one state. However, LMFA is limited to normally distributed continuous data and estimates may be inaccurate when applying the method to ordinal data (e.g., from Likert items) with skewed responses or few response categories. To enable researchers and health professionals with ordinal data to evaluate measurement invariance, we present “latent Markov latent trait analysis” (LMLTA), which builds upon LMFA but treats responses as ordinal. Our application shows differences in MMs of adolescents’ affective well-being in different social contexts, highlighting the importance of studying measurement invariance for drawing accurate inferences for psychological science and pract

We identify the need for a new wave of research on adolescent secrecy in their relationship with parents that relinquishes the focus on the nomothetic objective of finding general principles. This third wave builds on novel insights on three fallacies committed in previous waves of research: (1) between-person effects do not necessarily provide insights into within-family processes (the ecological fallacy), (2) within-family processes are not necessarily homogeneous across adolescents and families (the one size fits all fallacy), and (3) longer-term effects are not necessarily identical to short-term processes (the galloping horse fallacy). This approach promises to provide us with a more person-specific understanding of adolescent secrecy from parents, which enables more tailored insights as to when and for whom secrecy is bad versus good.

Adolescence is often a period of onset for internalizing and externalizing problems. At the same time, adolescent maturation and increasing autonomy from parents push for changes in family functioning. Even though theoretically expected links among the changes in family functioning and adolescent internalizing and externalizing problems exist, studies examining this link on the within-family level are lacking. This longitudinal, pre-registered, and open-science study, examined the within-family dynamic longitudinal associations among family functioning, and internalizing and externalizing problems. Greek adolescents (N = 480, Mage = 15.73, 47.9% girls, at Wave 1) completed self-report questionnaires, three times in 12 months. Random-Intercept Cross-Lagged Panel Models (RI-CLPM) were applied; such models explicitly disentangle between-family differences from within-family processes, thereby offering a more stringent examination of within-family hypotheses. Results showed that family functioning was not significantly associated with internalizing or externalizing problems, on the within-family level. Also, alternative standard Cross-Lagged Panel Models (CLPM) were applied; such models have been recently criticized for failing to explicitly disentangle between-family variance from within-family variance, but they have been the standard approach to investigating questions of temporal ordering. Results from these analyses offered evidence that adolescents with higher internalizing and externalizing problems compared to their peers, tended to be those who later experienced worse family functioning, but not vice versa. Implications for theory and practice are discussed.

This 4-year longitudinal multi-informant study examined between- and within-person associations between adolescent social anxiety symptoms and parenting (parental psychological control and autonomy support). A community sample of 819 adolescents (46.1% girls; MageT1 = 13.4 years) reported annually on social anxiety symptoms and both adolescents and mothers reported on parenting. Between-person associations suggested that adolescent social anxiety symptoms were associated with higher adolescent- and mother-reported psychological control and lower mother-reported autonomy support. At the within-person level, however, mothers reported lower psychological control and higher autonomy support after periods with higher adolescent social anxiety symptoms. Our findings illustrate the importance of distinguishing among between-person and within-person associations and including perceptions of both dyad members in longitudinal research concerning parenting and adolescent mental health.

Item does not contain fulltext, One particular developmental task during adolescence is to regulate fluctuating moods to successfully transition through this period. The aim of this person-centered study was to identify distinct developmental trajectories of adolescent mood variability and to compare adolescents in different trajectories on changes in depressive symptoms, delinquency, and alcohol consumption in early to middle (ages 13-16) and middle to late adolescence (ages 16-20). Dutch adolescents (n = 482, 57.1% male) rated their daily emotions three weeks per year for five years using Internet daily diaries (ages 13-18). Day-to-day mood changes were calculated as an indicator of mood variability. Adolescents provided annual reports on depressive symptoms, delinquent acts, and alcohol consumption (ages 13-20). Results showed that most adolescents (88%) followed a trajectory characterized by decreases in mood variability (i.e., more stable moods). However, a minority (12%) followed a trajectory of increases in mood variability with a peak during middle adolescence. Adolescents with an increasing mood variability trajectory showed stable depressive and delinquency symptoms in early to middle adolescence compared with adolescents with a decreasing mood variability trajectory, who showed a decline in these symptoms. At age 16, there was a significant difference between the groups in depressive and delinquency symptoms, which stayed stable toward late adolescence. Although the two groups did not differ concerning alcohol consumption in early to middle adolescence, adolescents from the increasing mood variability class experienced less steep increases in alcohol use from middle to late adolescence compared with adolescents from the decreasing mood variability class.

The use of ambulatory assessment (AA) and related methods (experience sampling, ecological momentary assessment) has greatly increased within the field of adolescent psychology. In this guide, we describe important practices for conducting AA studies in adolescent samples. To better understand how researchers have been implementing AA study designs, we present a review of 23 AA studies that were conducted in adolescent samples from 2017. Results suggest that there is heterogeneity in how AA studies in youth are conducted and reported. Based on these insights, we provide recommendations with regard to participant recruitment, sampling scheme, item selection, power analysis, and software choice. Further, we provide a checklist for reporting on AA studies in adolescent samples that can be used as a guideline for future studies.

Contains fulltext : 198747.pdf (publisher's version ) (Open Access), Many longitudinal studies have investigated whether self-esteem predicts depressive symptoms (vulnerability model) or the other way around (scar model) in adolescents. The most common method of analysis has been the cross-lagged panel model (CLPM). The CLPM does not separate between-person effects from within-person effects, making it unclear whether the results from previous studies actually reflect the within-person effects or whether they reflect differences between people. We investigated the associations between self-esteem and depressive symptoms at the within-person level, using random intercept cross-lagged panel models (RI-CLPMs). To get an impression of the magnitude of possible differences between the RI-CLPM and the CLPM, we compared the results of both models. We used data from three longitudinal adolescent samples (age range: 7-18 years; study 1: N = 1948; study 2: N = 1455; study 3: N = 316). Intervals between the measurements were 1-1.5 years. Single-paper meta-analyses showed support for small within-person associations from self-esteem to depressive symptoms, but not the other way around, thus only providing some support for the vulnerability model. The cross-lagged associations in the aggregated RI-CLPM and CLPM showed similar effect sizes. Overall, our results show that over 1- to 1.5-year time intervals, low self-esteem may negatively influence depressive symptoms over time within adolescents, but only weakly so.

Many longitudinal studies have investigated whether self‐esteem predicts depressive symptoms (vulnerability model) or the other way around (scar model) in adolescents. The most common method of analysis has been the cross‐lagged panel model (CLPM). The CLPM does not separate between‐person effects from within‐person effects, making it unclear whether the results from previous studies actually reflect the within‐person effects or whether they reflect differences between people. We investigated the associations between self‐esteem and depressive symptoms at the within‐person level, using random intercept cross‐lagged panel models (RI‐CLPMs). To get an impression of the magnitude of possible differences between the RI‐CLPM and the CLPM, we compared the results of both models. We used data from three longitudinal adolescent samples (age range: 7–18 years; study 1: N = 1948; study 2: N = 1455; study 3: N = 316). Intervals between the measurements were 1–1.5 years. Single‐paper meta‐analyses showed support for small within‐person associations from self‐esteem to depressive symptoms, but not the other way around, thus only providing some support for the vulnerability model. The cross‐lagged associations in the aggregated RI‐CLPM and CLPM showed similar effect sizes. Overall, our results show that over 1‐ to 1.5‐year time intervals, low self‐esteem may negatively influence depressive symptoms over time within adolescents, but only weakly so.

Adolescents' secrecy is intertwined with perception of parents' behaviors as acts of privacy invasion. It is currently untested, however, how this transactional process operates at the within-person level-where these causal processes take place. Dutch adolescents (n = 244, Mage = 13.84, 38.50% boys) reported three times on perceived parental privacy invasion and secrecy. Cross-lagged panel models (CLPM) confirmed earlier findings. Privacy invasion predicted increased secrecy, but a reverse effect was found from increased secrecy to increased privacy invasion. Controlling for confounding positive group-level associations with a novel random intercept CLPM, negative within-person associations were found. Higher levels of secrecy predicted lower levels of privacy invasive behaviors at the within-person level. These opposing findings within- versus between-persons illustrate a Simpson's paradox.

Objective: To identify the early signs of mood disorder development, specifically bipolar disorder (BD), in a population at familial risk for BD.Method: The sample included 107 Dutch adolescent bipolar offspring (age 12-21) followed into adulthood (age 22-32). Lifetime DSM-IV axis I diagnoses were examined at baseline, 1-, 5-, and 12-year follow-up. Symptoms were assessed at baseline on a 3-point Likert scale at baseline with the K-SADS-PL and were analyzed using symptom and sum scores. As observed in previous studies, BD typically starts with other mood disorders. Therefore, the sample was stratified in offspring with a mood diagnosis (n = 29) and without (n = 78) at baseline.Results: Subthreshold manic experiences proved the strongest predictor of BD conversion (n = 10; HR2.16, CI95% 1.23-3.78). At symptom level, elated mood, decreased need of sleep, racing thoughts, suicidal ideation, and middle insomnia were significantly associated with BD conversion. Depressive symptoms proved the strongest predictor for first mood episode onset (n = 28; HR1.27, CI95% 1.02-1.58).Conclusion: This study extends our knowledge of prodromal manifestations of BD in a high-risk population. Although preliminary, findings of this study provide potential targets for early identification and underscore the importance of detailed assessment of manic symptomatology in bipolar offspring.

This six-wave multi-informant longitudinal study on Dutch adolescents (N = 824; age 12 18) examined the interplay of socioeconomic status with parental monitoring in predicting minor delinquency. Fixed-effects negative binomial regression analyses revealed that this interplay is different within adolescents across time than between adolescents. Between individuals, parental solicitation and control were not significantly associated with delinquency after controlling for SES: Adolescents whose parents exercised more monitoring did not offend less than others. Within individuals, higher levels of parental control were unexpectedly associated with more delinquency, but this relation was dependent on SES: Low-SES adolescents, but not high-SES adolescents, offended more during periods in which their parents exercised more control than during other periods with less control. In contrast to earlier work, this finding suggests that monitoring could be least effective when needed most. Low-SES parents might not use monitoring effectively and become overcontrolling when their child goes astray. (C) 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

This cohort-sequential longitudinal study among 1302 Dutch youths examined the dynamics of political identity (e.g., Democrat or Rightist) and issue attitudes between age 12 and 30. Some theories propose that voters form an identity early in life that subsequently determines attitudes. Other theories contrarily argue that attitudes are a cause of identity. However, research on this controversy has never focused on the crucial phase of adolescence. Results revealed that youths formed an identity consistent with prior attitudes more than vice versa. Highly educated youths most often adjusted their attitudes to their identity, which explained an emerging education gap in identity-attitude consistency. Finally, findings suggested that early cultural attitudes establish an identity that may subsequently determine economic attitudes. (C) 2017 Elsevier Ltd. All rights reserved.

The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals within a day are deliberately varied, andmeasurement continues over several days. This poses a problemfor discrete-time (DT) modeling approaches, which are based on the assumption that all measurements are equally spaced. Nevertheless, DT approaches such as (vector) autoregressive modeling are often used to analyze ESM data, for instance in the context of affective dynamics research. There are equivalent continuous-time (CT) models, but they are more difficult to implement. In this paper we take a pragmatic approach and evaluate the practical relevance of the violated model assumption in DT AR(1) and VAR(1) models, for the N = 1 case. We use simulated data under an ESM measurement design to investigate the bias in the parameters of interest under four different model implementations, ranging from the true CT model that accounts for all the exact measurement times, to the crudest possible DT model implementation, where even the nighttime is treated as a regular interval. An analysis of empirical affect data illustrates how the differences between DT and CT modeling can play out in practice. We find that the size and the direction of the bias in DT (V) AR models for unequally spaced ESM data depend quite strongly on the true parameter in addition to data characteristics. Our recommendation is to use CT modeling whenever possible, especially now that new software implementations have become available.

Music Marker Theory posits that music is relevant for the structuring of peer groups and that rock, urban, or dance music preferences relate to externalizing behavior. The present study tested these hypotheses, by investigating the role of music preference similarity in friendship selection and the development of externalizing behavior, while taking the effects of friends' externalizing behavior into account. Data were used from the first three waves of the SNARE (Social Network Analysis of Risk behavior in Early adolescence) study (N = 1144; 50% boys; M age = 12.7; SD = 0.47), including students who entered the first-year of secondary school. Two hypotheses were tested. First, adolescents were expected to select friends based both on a similarity in externalizing behavior and music genre preference. Second, a preference for rock, urban, or dance, music types was expected to predict the development of externalizing behavior, even when taking friends' influence on externalizing behavior into account. Stochastic Actor-Based Modeling indicated that adolescents select their friends based on both externalizing behavior and highbrow music preference. Moreover, both friends' externalizing behavior and a preference for dance music predicted the development of externalizing behavior. Intervention programs might focus on adolescents with dance music preferences.