Longitudinal Coupling of Self-concept and Mobile Phone Dependency in Adolescents: An Application of Latent Change Score Models

2020 ◽  
Vol 33 (2) ◽  
pp. 427-454
Author(s):  
Eun Hye Ham
2020 ◽  
Vol 11 ◽  
Author(s):  
Gerhard Gmel ◽  
Simon Marmet ◽  
Joseph Studer ◽  
Matthias Wicki

Objective: It is well known that certain personality traits are associated with alcohol use. Because less is known about it, we wished to investigate whether changes in alcohol use were longitudinally associated with changes in personality and in which direction the influence or causation might flow.Methods: Data came from the self-reported questionnaire answers of 5,125 young men at two time points during the Cohort study on Substance Use Risk Factors (C-SURF). Their average ages were 20.0 and 25.4 years old at the first and second wave assessments, respectively. Four personality traits were measured: (a) aggression–hostility; (b) sociability; (c) neuroticism–anxiety; and (d) sensation seeking. Alcohol use was measured by volume (drinks per week) and binge drinking (about 60+ grams per occasion). Cross-lagged panel models and two-wave latent change score models were used.Results: Aggression–hostility, sensation seeking, and sociability were significantly and positively cross-sectionally associated with both alcohol use variables. Drinking volume and these three personality traits bidirectionally predicted each other. Binge drinking was bidirectionally associated with sensation-seeking only, whereas aggression–hostility and sociability only predicted binge drinking, but not vice versa. Changes in alcohol use were significantly positively associated with changes in aggression–hostility, sensation seeking, and sociability. Associations reached small Cohen's effect sizes for sociability and sensation seeking, but not for aggression–hostility. Associations with neuroticism–anxiety were mostly not significant.Conclusion: The direction of effects confirmed findings from other studies, and the association between changes in personality and alcohol use support the idea that prevention programs should simultaneously target both.


2021 ◽  
pp. 216770262096593
Author(s):  
Brent I. Rappaport ◽  
Joshua J. Jackson ◽  
Diana J. Whalen ◽  
David Pagliaccio ◽  
Joan L. Luby ◽  
...  

Understanding longitudinal associations between problematic peer relations and psychopathology is needed to inform public health. Three models have been proposed: Poor peer relations (a) lead or are a risk factor for psychopathology, (b) lag or are a consequence of psychopathology, or (c) both lead and lag psychopathology. Another model is that poor peer relations lead or lag psychopathology depending on the developmental period. To test these models, youths’ peer relations and clinical symptoms were assessed up to six times between ages 3 and 11 in 306 children. Bivariate latent-change-score models tested leading and lagging longitudinal relationships between children’s peer relations (peer victimization/rejection, peer-directed aggression, social withdrawal, prosocial behavior) and psychopathology (depression, anxiety, and externalizing symptoms). Peer victimization/rejection was a leading indicator of depression from early childhood into preadolescence. Peer-directed aggression was a leading indicator of externalizing symptoms (in late childhood).


2019 ◽  
Author(s):  
Eduardo Estrada

Estrada, Hamagami, & Ferrer, (2019). Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2019.1647822. Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score models (LCS) provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.


2021 ◽  
Author(s):  
Tibor Zingora ◽  
Sylvie Graf ◽  
Martina Hrebickova ◽  
Jaroslav Tocik ◽  
David Lacko ◽  
...  

In the COVID-19 pandemic, it is vital to identify factors increasing behaviors that limit the transmission of COVID-19 (i.e., anti-COVID-19 behavior) and factors protecting against the negative consequences of the pandemic on societies (i.e., prejudice). A simultaneous investigation of a change in anti-COVID behavior and prejudice during the pandemic is essential because some factors (e.g., fear of COVID-19) could increase both outcomes, whilst other factors (e.g., norms in anti-COVID behavior or intergroup contact in prejudice) could bring desirable changes in one outcome without negatively affecting the other. In a three-wave longitudinal study (NT1 = 4275) in five European countries from April to October 2020, we employed a latent change score model to distinguish between intra- and inter-individual changes in anti-COVID-19 behavior and prejudice. On the intra-individual level, anti-COVID-19 behavior was increased by anti-COVID-19 norms; and prejudice against migrants from the Middle East was influenced by positive and negative direct and mass-media intergroup contact.


2020 ◽  
Vol 11 ◽  
Author(s):  
Sonia Zaccoletti ◽  
Ana Camacho ◽  
Nadine Correia ◽  
Cecília Aguiar ◽  
Lucia Mason ◽  
...  

The COVID-19 outbreak has ravaged all societal domains, including education. Home confinement, school closures, and distance learning impacted students, teachers, and parents’ lives worldwide. In this study, we aimed to examine the impact of COVID-19-related restrictions on Italian and Portuguese students’ academic motivation as well as investigate the possible buffering role of extracurricular activities. Following a retrospective pretest–posttest design, 567 parents (nItaly = 173, nPortugal = 394) reported on their children’s academic motivation and participation in extracurricular activities (grades 1 to 9). We used a multi-group latent change score model to compare Italian and Portuguese students’: (1) pre-COVID mean motivation scores; (2) rate of change in motivation; (3) individual variation in the rate of change in motivation; and (4) dependence of the rate of change on initial motivation scores. Estimates of latent change score models showed a decrease in students’ motivation both in Italy and in Portugal, although more pronounced in Italian students. Results also indicated that the decrease in students’ participation in extracurricular activities was associated with changes in academic motivation (i.e., students with a lower decrease in participation in extracurricular activities had also a lower decrease in motivation). Furthermore, students’ age was significantly associated with changes in motivation (i.e., older students had lower decrease). No significant associations were found for students’ gender nor for parents’ education. This study provides an important contribution to the study of students’ academic motivation during home confinement, school closures, and distance learning as restrictive measures adopted to contain a worldwide health emergency. We contend that teachers need to adopt motivation-enhancing practices as means to prevent the decline in academic motivation during exceptional situations.


2016 ◽  
Vol 2016 (1) ◽  
pp. 11621
Author(s):  
Zhenyu Liao ◽  
Ann Chunyan Peng ◽  
Wen-Dong Li ◽  
John Schaubroeck

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