Growth Model Analysis Research Articles

잠재성장모형을 활용한 대학생의 스트레스가 진로미결정에 미치는 종단적 영향관계 분석

This study examined the longitudinal effects of college students' stress on their career indecision using data from the 12th (2018), 13th (2019), and 14th (2020) rounds of the ｢Youth Panel Survey｣ conducted by the Korea Employment Information Service. A latent growth model analysis was conducted for the relationship. As a result of the study, first, the 12th, 13th, and 14th data of college students' stress and career indecision showed a tendency to gradually increase over time. Second, the initial value of stress had a significant positive effect on the initial value of career indecision. Third, the initial value of stress was not statistically significant in the change rate of career indecision. Fourth, the change rate of stress had a significant positive effect on the change rate of career indecision. Through this study, the longitudinal changes in college student stress and career indecision and the longitudinal effect of stress on career indecision were confirmed.

Exploring socio-economic externalities of development scenarios. An analysis of EU regions from 2008 to 2016

A great debate around development scenarios has come to define conversations around the economy and the environment, two dimensions that struggle to find a proper balance. In this paper we apply unconditional growth model analyses to a new and unique dataset of European regions between 2008 and 2016 and identify four development scenarios – green growth, green de-growth, black growth and black de-growth – characterized by different relationships between CO2 emissions and economic growth. We then map European regions across these four scenarios and describe the differences that occurred among regions in terms of socio-economic externalities, mainly competences, investments and well-being. Drawing on our analyses, we contribute to the debate on development scenarios and ecological macro-economics, as well as discuss implications for sustainability policy and research.

Predictors and trajectories of fear of cancer recurrence in Chinese breast cancer patients

ObjectiveFear of cancer recurrence (FCR) is one of the most common and aversive psychological phenomena among cancer patients. This study explored the trajectories of FCR over the 18 months following discharge, and evaluated the associations between baseline demographic and clinical variables and FCR trajectories among Chinese women treated for breast cancer. MethodsThis is a longitudinal prospective study. All participants were asked to completed a battery of questionnaires (FCR-7, PHQ-9, GAD-7 and MPQ-VAS) at baseline, 6, 12, and 18 months after discharge. Generalized linear mixed model and group-based trajectory analyses were conducted. ResultsThree hundred women with breast cancer were recruited. Latent class growth modeling analysis showed that three-group trajectory solution was the best fitting (i.e., ‘intermediate level-stable group’ (63.3%), ‘low level-increasing group’ (18.3%), and ‘high level-decreasing group’ (18.3%). Patients reported significant higher FCR at baseline assessment compared to other time points. Significant positive associations were found between anxiety, depression and FCR. Patients who had no baseline depression (estimate = −2.14, 95% CI: −2.78-(−1.51), P < 0.001) or anxiety (estimate = −2.77, 95% CI: −3.44-(−2.10), P < 0.001) tended to report significant lower FCRs over time. Women with none/mild life stress exhibited significant lower FCRs than those with moderate/high life stress, and participants with a family history of cancer or pessimism reported higher FCRs. Conclusion>60% of the breast cancer women showed intermediate level-stable FCRs over the 18 months after discharge. Baseline anxiety, depression, life stress, family cancer history and pessimism predicts higher FCR levels. Clinical teams responsible for continuing patient care following treatment should develop clearer strategies for management of FCR.

A Prospective Evaluation of the Effects of the COVID-19 Pandemic on Youth with Primary Headache Disorders

Alterations in certain academic and social/family routines during the COVID-19 pandemic have been speculated to be either a risk factor or buffer for poor health outcomes for youth with stress-sensitive health conditions such as primary headache disorders. The current study evaluated patterns and moderators of pandemic impacts on youth with primary headache disorders, with an aim of extending our understanding of the relationship between stress, resilience, and outcomes in this population. Children recruited from a headache clinic in the midwestern United States reported on their headaches, schooling, routines, psychological stress, and coping at four timepoints ranging from within a few months of the pandemic onset to a long-term follow-up 2 years later. Changes in headache characteristics over time were analyzed for association with demographics, school status, altered routines, and stress, and coping. At baseline, 41% and 58% of participants reported no change in headache frequency or intensity, respectively, relative to pre-pandemic levels, with the remainder almost equally divided between reporting an improvement or worsening. The results of multilevel growth model analyses indicated that headache intensity remained more elevated over time since the start of the pandemic for respondents whose stress scores were relatively higher (b = 0.18, t = -2.70, p = 0.01), and headache-related disability remained more elevated over time for older respondents (b = 0.01, t = -2.12, p = 0.03). The study results suggest, overall, that the outcomes of primary headache disorders in youth were not systematically altered by the COVID-19 pandemic.

일반계 고등학생의 학습자중심수업과 학업성취도의 관계

In order to analyze the longitudinal effect of learner-centered classes of general high school students on academic achievement through school happiness, this study conducted a univariate and multivariate latent growth model analysis using data of 1,833 general high school students in the 4th and 6th years of the BELS. First, looking at the development trajectory of each research variable, it was confirmed that the average and rate of change of all variables were statistically significant, and there was a difference between individuals in changes according to grades, and students with high initial values were likely to have a relatively high rate of change. However, as the grade went up, learner-centered classes and school happiness decreased, but there was a difference in academic achievement. Next, as a result of verifying the influence of each path of the multivariate latent growth model, statistically significant influence of all paths was confirmed, but there was a difference in static and negative influence. Finally, as a result of analyzing the longitudinal mediating effect of school happiness in the relationship between learner-centered class and academic achievement, statistically significant partial mediating effect was verified in each path of initial value and rate of change. In particular, the initial value of learner-centered classes was found to have a statistically significant negative effect on the initial value of academic achievement, but statistically significant static mediating paths were analyzed when school happiness was used as a parameter.

Developmental trajectories of Korean and heritage language proficiencies and their association with maladjustment among Korean multicultural adolescents.

This study identified changes in Korean and heritage language proficiencies across five waves (2011-2015) and examined the association between linguistic acculturation trajectories and adjustment (2016) among Korean adolescents with immigrant family backgrounds (N=1441; 51.21% female; Mage(baseline) =9.97). All adolescents were from multiethnic families with 91.65% comprising a non-Korean Asian mother (e.g., Japan, Philippines, China, Thailand) and Korean father. Parallel process latent class growth modeling and multivariate regression analysis were conducted to estimate the trajectories of linguistic acculturation and their effects on adolescents' future adjustment. Linguistic acculturation trajectories were classified into three latent groups. Bilingual adolescents demonstrated better adjustment over adolescents in other trajectories. Findings highlight the importance of considering patterns of change in linguistic acculturation for understanding Korean multicultural adolescents' adjustment.

Comparison and correlation between polymer modified asphalt binders and mastics in high- and intermediate-temperature rheological behaviors

Traditional evaluation parameters for multiple stress creep recovery (MSCR) test and linear amplitude sweep (LAS) test are difficult to deeply and theoretically characterize the high- and intermediate-temperature rheological behaviors of polymer modified asphalt (PMA) binders and mastics. In this paper, one neat asphalt and four types of PMA binders and mastics are selected (i.e., the rubber modified ones, SBS modified ones, thermoplastic elastomer modified ones and SBS/Rubber modified ones). Two new analysis methods, i.e. Burgers model and damage mechanics-based crack growth model, are applied in analyzing the high- and intermediate-temperature rheological behaviors of PMA materials respectively. The Burgers model results indicate adding filler decreases the viscous deformation, and leads to lower non-recoverable compliance in the MSCR test. The polymer modification transfers the delayed elastic deformation to elastic deformation, thus causing more excellent rutting resistance. The damage mechanics-based crack growth model analysis reveals that adding filler enhances the crack growth rate and crack length, thus sacrificing the fatigue resistance. By contrast, the polymer modification enhances the fatigue resistance regardless of polymer types. Notably, a two-stage pattern based on crack growth rate and energy release rate was further proposed to identify the crack initiation and propagation of PMA materials. Specifically, 30% rubber modified asphalt binders and mastics perform best in both rutting and fatigue resistance. Moreover, PMA binders and mastics have strong correlation based on the recovery percentage and delayed elastic deformation. The correlation of fatigue life between PMA binders and mastics is very significant, however there was no obvious correlation in terms of crack length.

Macroeconomic ingredients for a growth model analysis for peripheral economies: a post-Keynesian-structuralist approach

ABSTRACT The growth models approach (GMA) has become increasingly prominent in Comparative Political Economy over the last years. While it has originally been developed for advanced economies, there is a growing number of applications for developing countries. This raises the question of how readily transferable the GMA concepts are to the peripheral capitalist experience. This paper explores the analytical building blocks for an extension of the GMA to developing economies from post-Keynesian-structuralist perspective. It argues that in a developing country context supply-side considerations will be more important and build on structuralist theory to understand the ‘real’ constraints in the developing countries' growth process. It uses Minskyan theory to understand how currency hierarchy creates financial causes for international economic stratification. As a consequence, the role of the state is more crucial than in advanced economies, but at the same time states are more vulnerable. This paper concludes by reflecting on the key concepts of GMA, finance-led, export-led and state-led growth in the light of developing economies and identifying neoliberal as well developmentalist versions of these.

중학생 협동역량의 발달궤적과 부모양육태도, 또래관계, 교사관계의 동시효과와 지연효과

Purpose: This study investigated students‘ trajectory of cooperative competence in middle school and examined if time-varying covariates - parenting behavior, peer relationships, teacher-student relationships - predict contemporary and 1-year lagged cooperative competence. Methods: samples from 2,590 seventh-grade students drawn from the Korean Children and Youth Panel Survey 2018, Second-Order Latent Growth Modeling analysis were examined to ascertain to what extent the time-varying covariates (parenting behavior, peer relationship and teacher-student relationships) have on contemporaneous and lagged effects. Results: First, the cooperative competence of middle school students decreased over time, and the decrease rates were steeper for those who showed a higher level of initial cooperative competence. Second, the contemporaneous effects of three time-varying covariates on cooperative competence were significant, while only peer and student-teacher relationships were found to have lagged effects. Conclusion: The result of this study suggests the importance of positive relationships with parents, peers and teachers for the development of cooperative competence and calls for future interventions to promote students‘ cooperative competence.

A tale of housing cycles and fiscal policy, not competitiveness. Growth drivers in Southern Europe

ABSTRACT Southern European countries are widely considered a distinct type of capitalism, but they have experienced a varied growth performance, both over time and across countries. This paper investigates the growth drivers in southern Europe since the mid-1990s. We consider a broad set of potential growth drivers derived from the literature on Mediterranean capitalism and Comparative Political Economy more broadly. On the demand side, these include the role of house prices (as the main financial variable; highlighted in parts of the growth models approach); the ‘financial curse’ hypothesis (which posits that financial inflows caused house price booms and crowded out manufacturing activities); and Keynesian arguments on the impact of fiscal policy. On the supply side, these encompass the cost competitiveness argument (consistent with mainstream economics and the Varieties of Capitalism approach), research-led technological change; and neo-structuralist arguments regarding the productive capacity. We find strong evidence for the growth contributions of house prices and fiscal policy. While these findings are generally supportive of extant analysis of these economies as finance-led rather than export-led, they call for a more serious integration of house prices in growth model analysis and for a more systematic analysis of the growth impact of fiscal policy.

A Longitudinal Study Using Latent Growth Model and Latent Profile Analysis for Overall Happiness of Elementary School Students

본 연구는 학령기 아동(초등 3학년~5학년)의 전반적 행복감의 변화 궤적을 분석하고, 전반적 행복감의 변화 양상에 따른 잠재집단을 추정하였다. 이를 위해 육아정책연구소에서 제공하는 ‘한국아동패널조사'의 10차년도(2017년)~12차년도(2019년)의 3시점 자료를 사용하였다. 잠재성장모형과 잠재프로파일 분석을 적용한 결과는 다음과 같다. 첫째, 초등학교 3학년 아동의 전반적 행복감 평균은 학년이 올라갈수록 감소하는 것으로 나타났다. 둘째, 부모감독과 또래애착은 초등학교 3학년 시기 아동의 전반적 행복감에 유의한 영향을 미치는 것으로 나타났다. 셋째, 아동의 전반적 행복감 변화에 따라 ‘행복감-상’, ‘가족행복감-하락’, ‘가족행복감-상승’, ‘행복감-하’ 총 4개의 잠재프로파일로 분류되었다. 넷째, 잠재프로파일별 아동의 삶의 만족도, 자아인식, 학교 적응은 유의한 차이를 나타냈다. 연구 결과를 바탕으로 학령기 아동의 행복감 증진에 대한 이론적, 실천적 시사점을 제언하였다.

Factors associating with the changes in life satisfaction among individuals with intellectual disabilities: a latent class growth model analysis

Factors associating with the changes in life satisfaction among individuals with intellectual disabilities: a latent class growth model analysis

Developmental Models of Depression, Externalizing Problems, and Self-regulatory Processes: Integrated Data Analysis Across Four Longitudinal Studies of Youth.

Integrative data analysis (IDA) was used to derive developmental models of depression, externalizing problems, and self-regulatory processes in three prevention trials of the Family Check-Up and one longitudinal, community-based study of girls over a 10-year span covering early to late adolescence (N = 4,773; 74.9% female, 41.7% white). We used moderated nonlinear factor analysis to create harmonized scores based on all available items for a given participant in the pooled dataset while accounting for potential differences in both the latent factor and the individual items as a function of observed covariates. We also conducted latent growth model analyses to examine developmental trajectories of risk. Results indicated a bidirectional relationship between depression and externalizing problems, with greater baseline externalizing problems and depression predicting growth in inhibitory control difficulties. Furthermore, initial level of inhibitory control difficulties was associated with growth in depression. We did not, however, find a relationship between early inhibitory control difficulties and growth in externalizing problems. This work illustrates the utility of IDA techniques to harmonize data across multiple studies to identify risk factors for the development of depression and externalizing problems that can be targeted by prevention efforts.

Changes in Collective Efficacy's Preventive Effect on Intimate Partner Violence during the COVID-19 Pandemic.

Following the logic of studies showing that collective efficacy within neighborhoods deters intimate partner violence (IPV), the promotion of social distancing during the COVID-19 pandemic may have weakened that effect. To examine that possibility, we analyzed panel data from 318 adults in Japan regarding IPV victimization and perceived collective efficacy at four time points. A latent growth model (LGM) analysis for each measure revealed that informal social control, a subscale of collective efficacy, has declined since the pandemic began, whereas no significant changes have occurred in social cohesion and trust, another subscale of collective efficacy, and IPV victimization. Furthermore, two parallel LGM analyses revealed that although collective efficacy before the pandemic suppressed subsequent IPV victimization, changes in collective efficacy during the pandemic have been positively associated with changes in IPV. Those results suggest that collective efficacy’s protective effect on IPV is moderated by whether interactions between intimate partners and their neighbors are socially normative.

The Latent Growth Model of the Korean Language and Mathematics Academic Performance in Children aged 6-12

Objectives: This study is a foundation for preparing learning support measures for children with developmental language disabilities through research on the academic relationship development of the Korean language and mathematics. The degree and developmental relationship of Korean language and mathematics academic performance according to age from kindergarten before entering elementary school to 4th grade were examined. Methods: Latent Growth Model Analysis (LGMA) was conducted on the results of the evaluation of Korean language and mathematics academic performance from 2014 to 2018 (4th grade in elementary school). Results: Korean language and mathematics developed with significant influence on each other. It was confirmed that the basic ability to perform the Korean language has a significant effect on both the basic ability and the change in the academic ability in mathematics. It is a fact that Korean language ability is the basis of mathematical academic ability through the implementation of the mathematical sentence system. In addition, although Korean language ability and mathematics influence each other, in the case of mathematics, the cognitive ability of individual children played a more significant role compared to the Korean language in the academic performance results. Conclusion: Korean language ability and mathematics developed with a significant influence on each other. It was confirmed through the Latent Growth Model that Korean language ability has a significant effect on the basic ability and the change of mathematic academic performance.

Growth model analysis of wild hyacinth macaw (Anodorhynchus hyacinthinus) nestlings based on long-term monitoring in the Brazilian Pantanal

Studies on the breeding of vulnerable and endangered bird species are hindered by low numbers of individuals, inaccessible location of nests, unfavourable environmental conditions, and complex behavioural patterns. In addition, intraspecific variation may emerge only following long-term, systematic observations of little-known patterns and processes. Here, data collected over 30 years were used to determine growth model of hyacinth macaw (Anodorhynchus hyacinthinus) chicks in the Pantanal biome of Brazil. During this period, the speed of growth and body mass of chicks varied widely. Four growth models were tested: logistic, Gompertz, Richards, and cubic polynomial. They were fitted using three biometric measurements: body mass, total length, and tail length. The best-fitting growth curves were identified using Akaike’s information criterion. The best models were the cubic polynomial for body mass, Richards for total length, and Gompertz for tail length. We confirmed the occurrence of dwarf individuals, whose body mass, total length, and tail length were 20%, 22%, and 70% smaller, respectively, than in the overall population. The dwarfs remain small in size after having fledged and are easily identified as adults. We discuss the importance of long-term studies to identify windows of opportunity for further research that will help in the conservation of endangered macaw species.

Modern and generalized analysis of exogenous growth models

The work presents a critical analysis of the model that could replicate the dynamic of long-run economic growth by regarding the capital accumulation, the labor or the population growth and increases in productivity that depends on technological progress. In this case, we calculated the equilibrium point and gave the model’s existence and uniqueness conditions. We introduced an analysis of the Lyapunov function for the first and second derivatives. Infections point analysis was presented in detail, and a numerical scheme based on the Lagrange polynomial interpolation was used to derive the numerical solution of the classical model. To introduce into mathematical formulation nonlocal behaviors, four cases were considered, including the effect of the power-law, the impact of fading memory, the development of crossover from stretched exponential to power-law and crossover behaviors from power law to stochastic. For each case, Linear growth and Lipschitz conditions were used to establish the uniqueness of the exact solution. Further, different numerical techniques were used to prove convergence of the used numerical scheme. Finally, numerical simulations were performed for other cases.

Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model

Accurate and consistent information on the area and production of field crops is vital for national and state planning and ensuring food security in India. Satellite-based remote sensing offers a suitable and cost-effective technique for regional- and national-scale crop monitoring. The use of remote sensing data for crop yield estimation has been demonstrated using a semi-physical approach with reasonable success. Assimilating remote sensing data with the DSSAT model and spectral indices-based regression analysis are promising methods for spatially estimating rice crop yields. Rice area and yield in the Cauvery delta zone of Tamil Nadu, India was estimated during samba (August–January) season in the years 2020–2021 using Sentinel 1A Synthetic Aperture Radar satellite data with three different spatial yield estimation methods, namely a spectral indices-based regression analysis, semi-physical approach, and integrating remote products with DSSAT crop growth model. A rice area map was generated for the study area using a rule-based classifier approach utilizing parameterization with a classification accuracy of 94.5% and a kappa score of 0.89. The total classified rice area in Cauvery Delta Region was 379,767 ha, and the Start of Season (SoS) maps for samba season revealed that the major planting period for rice was between 22 September and 9 November in 2020. The study also aimed to identify promising spatial yield estimation techniques for optimal rice yield prediction over large areas. Regression models resulted in rice yields of 3234 to 3905 kg ha−1 with a mean of 3654 kg ha−1. The net primary product was computed using the periodical PAR, fAPAR, Wstress, Tstress, and maximum radiation use efficiency in a semi-physical approach. The resultant rice yields ranged between 2652 and 3438 kg ha−1 with the mean of 3076 kg ha−1. During the integration of remote sensing products with crop growth models, LAI values were extracted from dB images and utilized to simulate rice yields in the range of 3684 to 4012 kg ha−1 with the mean of 3855 kg ha−1. When compared to the semi-physical approach, both integrating remote sensing products with the DSSAT crop growth model and spectral indices-based regression analysis had R2 greater than 0.80, NRMSE of less than 10%, and agreement of more than 90%, indicating that these two approaches could be used for spatial rice yield estimation.

Spillover Effects of Peripheral Activity Visibility: Tests of the Reputation Development Process

Despite increased interest in organizational reputation, there is a lack of research on the reputation development process. We test a model in which the visibility of organizations’ peripheral activities spills over into the perceived quality of organizations’ core activities which, in turn, positively influences the economic outcome of price premiums. Moreover, we test whether the visibility of organizations’ peripheral activities positive influence on the perceived quality of organizations’ core activities comes at the cost of decreasing organizational access among key stakeholders, and whether decreased access among these stakeholders also influences price premiums. Using institutional-level time-lagged data from NCAA Division I institutions, we conducted growth modeling and bootstrap mediation analyses to test the effects of college athletics revenue (peripheral activity visibility) on admission rates (core activity perceived quality) and Black student enrollment (key stakeholder access) the following academic year, and student cohort mean earnings (economic outcome) six years after that. Results show that, over time, Black students have been displaced from institutions generating more athletic revenue to institutions generating less athletic revenue. Mediation results show a direct positive effect for college athletics revenue (Time 0) on mean earnings among cohorts of former students (Time 2) and indirect effects through higher admission standards and smaller proportions of Black students in those same cohorts of students when they were admitted at Time 1.

Peer Victimization, Peer Aggression and Depressive Symptoms over Time: A Longitudinal Study with Latent Growth Curves.

Most empirical research on the relationship between peer victimization, aggression, and mental health has been conducted with correlational designs. Much of this research has also focused primarily on linking peer victimization with either the potential aggressive behaviors of victims or a deterioration in their mental health. This study analyzes the relationship between peer victimization, peer aggression, and depressive symptoms in adolescents over time. The participants are 194 adolescents (49.2% boys, 50.8% girls) aged between 10 and 13 years (M = 10.88, SD = 0.84). The results of the growth modeling analysis indicate that the trajectories are interconnected: as victimization decreases, adolescent aggression and depressive symptoms also decrease. In addition, it is observed that victimization decreased in the same way in boys and girls, while aggression and depressive symptoms showed a smaller reduction in girls. Finally, the results and their potential practical implications are discussed.