scholarly journals Neuropsychological Trajectories Associated with Adolescent Alcohol and Cannabis Use: A Prospective 14-Year Study

2019 ◽  
Vol 26 (5) ◽  
pp. 480-491 ◽  
Author(s):  
M. Alejandra Infante ◽  
Tam T. Nguyen-Louie ◽  
Matthew Worley ◽  
Kelly E. Courtney ◽  
Clarisa Coronado ◽  
...  
Keyword(s):  
Hierarchical Linear Modeling ◽  
Verbal Memory ◽  
Neuropsychological Functioning ◽  
Block Design ◽  
Color Naming ◽  
Cannabis Use ◽  
Multiple Time ◽  
Linear Modeling ◽  
The Impact ◽  
Over Time

AbstractObjectives:Alcohol and cannabis remain the substances most widely used by adolescents. Better understanding of the dynamic relationship between trajectories of substance use in relation to neuropsychological functioning is needed. The aim of this study was to examine the different impacts of within- and between-person changes in alcohol and cannabis use on neuropsychological functioning over multiple time points.Methods:Hierarchical linear modeling examined the effects of alcohol and cannabis use on neuropsychological functioning over the course of 14 years in a sample of 175 adolescents (aged 12–15 years at baseline).Results:Time-specific fluctuations in alcohol use (within-person effect) predicted worse performance across time on the Wechsler Abbreviated Scale of Intelligence Block Design subtest (B = −.05, SE = .02, p = .01). Greater mean levels of percent days of cannabis use across time (between-person effect) were associated with an increased contrast score between Delis–Kaplan Executive Function System Color Word Inhibition and Color Naming conditions (B = .52, SE = .14, p < .0001) and poorer performance over time on Block Design (B = −.08, SE = .04, p = .03). Neither alcohol and/nor cannabis use over time was associated with performance in the verbal memory and processing speed domains.Conclusions:Greater cumulative cannabis use over adolescence may be linked to poorer inhibitory control and visuospatial functioning performance, whereas more proximal increases in alcohol consumption during adolescence may drive alcohol-related performance decrements in visuospatial functioning. Results from this prospective study add to the growing body of literature on the impact of alcohol and cannabis use on cognition from adolescent to young adulthood.

scholarly journals Rhythmic Features of Movement Synchrony for Bonding Individuals in Dyadic Interaction

2019 ◽  
Vol 44 (1) ◽  
pp. 173-193 ◽  
Author(s):  
Ken Fujiwara ◽  
Masanori Kimura ◽  
Ikuo Daibo
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dyadic Interaction ◽  
Wavelet Coherence ◽  
Linear Modeling ◽  
Theoretical Contribution ◽  
Bonding Effect ◽  
Slow Tempo ◽  
Movement Synchrony ◽  
The Impact

Abstract This study examined ways in which rhythmic features of movement contribute to bonding between individuals. Though previous studies have described synchrony as a form of social glue, this research extends those findings to consider the impact of fast versus slow tempo on movement synchrony. This two-part experiment examined dyadic interactions as they occurred between same-sex strangers (Study 1) and friends (Study 2). Participants were video-recorded as they engaged in 5- or 6-min chats, and synchrony was evaluated using wavelet transform via calculations of cross-wavelet coherence. Study 1 employed regression commonality analysis and hierarchical linear modeling and found that among various frequency bands, rapport between individuals was positively associated with synchrony under 0.025 Hz (i.e., slower than once every 40 s) and 0.5–1.5 Hz (i.e., once every 0.67–2 s). On the contrary, Study 2 determined that synchrony of 0.5–1.5 Hz was not impactful among friend dyads and only predictive of the motivation to cultivate a friendly relationship during interactions with strangers. These results indicate the existence of a distinctive rhythm for bonding individuals, and the role of pre-existing friendship as a moderator of the bonding effect of synchrony. However, the role of relative phase (i.e., timing of movement; same versus opposite timing) remains unclear, as the ratio of in- and anti-phase patterning had no significant influence on perceived rapport and motivation to develop relationships. On the basis of the research results, a theoretical contribution is proposed to the study of interpersonal coordination.

Knowledge Sharing, Organizational Climate, and Innovative Behavior: A Cross-Level Analysis of Effects

2013 ◽  
Vol 41 (1) ◽  
pp. 143-156 ◽  
Author(s):  
Chien Yu ◽  
Tsai-Fang Yu ◽  
Chin-Cheh Yu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Organizational Innovation ◽  
Positive Association ◽  
Innovative Behavior ◽  
Linear Modeling ◽  
Individual Level ◽  
Innovation Climate ◽  
The Impact

We investigated individual-level knowledge sharing and innovative behavior of employees, organizational innovation climate, and interactions between the individual level of knowledge sharing and the climate of innovation within the organization as a whole. Employees of public corporations in the Taiwanese finance and insurance industries participated in this study. Hierarchical linear modeling (HLM) indicated a positive association between knowledge sharing and innovative behavior and a positive association between organizational innovation climate and innovative behavior. According to the results of HLM organizational innovation climate did not act as a moderator on the impact of knowledge sharing on innovative behavior.

scholarly journals Core Self-Evaluations Over Time

2020 ◽  
Vol 41 (1) ◽  
pp. 1-7
Author(s):  
Michael C. Tocci ◽  
Patrick D. Converse ◽  
Nicholas A. Moon
Keyword(s):  
Hierarchical Linear Modeling ◽  
Self Concept ◽  
Linear Modeling ◽  
Fundamental Nature ◽  
Organizational Behaviors ◽  
Theoretical Perspectives ◽  
Time Periods ◽  
New Perspective ◽  
Core Self ◽  
Over Time

Abstract. Core self-evaluations (CSEs) represent a prominent construct with links to a number of important organizational behaviors and outcomes. Previous research on this variable appears to have assumed that CSE is a stable trait. However, very little research has examined this assumption, particularly over longer time periods. This study investigated this issue, focusing on within-person variability in CSE. Drawing from several theoretical perspectives related to self-concept, we examined the extent to which levels of this construct varied over several years as well as potential predictors of this variability. Hierarchical linear modeling analyses indicated there was substantial within-person variance in CSE over time and this variability was related to income and education. These findings shed additional light on the fundamental nature of CSE, contributing to a new perspective on this construct with potential implications for employees, organizations, and researchers.

Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

1997 ◽  
Vol 23 (6) ◽  
pp. 745-757 ◽  
Author(s):  
Diana L. Deadrick ◽  
Nathan Bennett ◽  
Craig J. Russell
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dynamic Performance ◽  
Individual Performance ◽  
Performance Criteria ◽  
Practical Significance ◽  
Linear Modeling ◽  
Modeling Analysis ◽  
And Performance ◽  
Over Time ◽  
Dynamic Criteria

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

A Hierarchical Linear Modeling Assessment of Dual-Addiction Status and Change in Sexual Compulsivity over Time

2010 ◽  
Vol 107 (1) ◽  
pp. 236-244 ◽  
Author(s):  
Paul J. Wright
Keyword(s):  
Hierarchical Linear Modeling ◽  
Sexual Compulsivity ◽  
Linear Modeling ◽  
Treatment Providers ◽  
Research Questions ◽  
Sexually Compulsive ◽  
Over Time

This study examined the association between dual-addiction status and sexual compulsivity over time in a sample of self-identified sexually compulsive males. Hierarchical linear modeling was utilized to address the study's research questions. Dually addicted sexually compulsive males exhibited lower rates of sexual compulsivity than their singularly addicted counterparts initially but displayed less precipitous declines in sexual compulsiveness over time. Implications for treatment providers are discussed.

Converting service encounters into cross-selling opportunities

2015 ◽  
Vol 49 (3/4) ◽  
pp. 491-511 ◽  
Author(s):  
Ting Yu ◽  
Paul Patterson ◽  
Ko de Ruyter
Keyword(s):  
Goal Orientation ◽  
Hierarchical Linear Modeling ◽  
Positive Impact ◽  
Positive Influence ◽  
Linear Modeling ◽  
Research Issues ◽  
Content Type ◽  
Joint Influence ◽  
The Impact ◽  
A Performance

Purpose – This paper aims to examine how the motivation and ability of individual employees to sell influences their units’ capability to align their service delivery with sales in a way that satisfies customers. It also addresses the potential influence of employees’ confidence in their supervisor’s ability to sell, such that they predict a joint influence of personal and proxy agency. Design/methodology/approach – This study uses hierarchical linear modeling to address the research issues. Findings – Employees’ learning orientation has a positive influence on service-sales ambidexterity, but the impact of a performance-avoidance goal orientation is negative, and a performance-prove orientation has no influence. Proxy efficacy enhances the positive impact of learning orientations due to the manager’s ability to lead by example, facilitate knowledge sharing and provide advice. However, it attenuates the impact of self-efficacy on service-sales ambidexterity, because skilled supervisors tend to take over and eliminate opportunities for employees to build their own skills. It also confirms the positive influence of service-sales ambidexterity on branch performance. Originality/value – To examine the emerging service-sales ambidexterity issues raised in frontline service units, this study adopts a motivation and capability paradigm. It is among the first studies to address service-sales ambidexterity issues by considering both individual and branch contextual factors.

scholarly journals The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling

2021 ◽  
Vol 12 ◽  
Author(s):  
Soyoung Kim ◽  
Yoonhwa Jeong ◽  
Sehee Hong
Keyword(s):  
Random Effects ◽  
Hierarchical Linear Modeling ◽  
Fixed Effects ◽  
Random Effect ◽  
Information Criteria ◽  
Linear Modeling ◽  
Random Effect Modeling ◽  
Error Bias ◽  
The Impact ◽  
Level 2

The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The targeted interests of the coefficients were four fixed effects and two random effects. The results showed that ignoring a crossed factor in cross-classified data causes a parameter bias for the random effects of level 2 predictors and a standard error bias for the fixed effects of intercepts, level 1 predictors, and level 2 predictors. Bayesian information criteria generally outperformed Akaike information criteria in detecting the correct model.

Abstract WP463: Moderator Role of Preparedness on the Association Between Depression and Quality of Life in Stroke Survivor-Caregiver Dyads

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Gianluca Pucciarelli ◽  
Karen S Lyons ◽  
Silvio Simeone ◽  
Rosaria Alvaro ◽  
Christopher S Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Hierarchical Linear Modeling ◽  
Longitudinal Design ◽  
Stroke Survivor ◽  
Linear Modeling ◽  
Rehabilitation Period ◽  
Over Time

Background: Although several studies have clearly shown that depressive symptoms in stroke survivors and caregivers decreases their quality of life (QOL), previous research has not yet analyzed the role of potential moderators in the relationship between the above two variables. Aims: To examine the moderating effect of caregiver preparedness between depressive symptoms and QOL in stroke survivor and caregiver dyads. Methods: Longitudinal design with 222 stroke survivor-caregiver dyads enrolled at survivor discharge from rehabilitation hospitals. Data collection was performed over 12 months. We measured survivor and caregiver QOL dimensions (physical, psychological, social and environmental), depression and preparedness. Hierarchical Linear Modeling was used to test four longitudinal dyadic moderation models (one for each QOL domain). Results: Survivors (50% males) and caregivers (65% females) were 70.8 (SD=11.9) and 52.5 (SD=13.1) years old, respectively. Controlling for baseline covariates, caregiver preparedness significantly moderated the association between survivor depressive symptoms and survivor psychological (B = 0.56, p < .01) and environmental (B = 0.58, p < .01) QOL at baseline and social QOL over time (B = 0.24, p < .05). In each case, higher levels of caregiver preparedness were protective and buffered the influence of survivor depressive symptoms on survivor QOL. Similarly, caregiver preparedness significantly moderated the association between caregiver depressive symptoms and caregiver physical (B = 0.25, p < .01) and environmental (B = 0.18, p < .05) QOL over time. Conclusions: Caregiver preparedness is a positive variable for both members of the dyad and the paper highlights the importance of implementing tailored intervention which could improve caregivers’ preparedness already during the rehabilitation period.

ALBUMIN, HEMOGLOBIN, AND THE TRAJECTORY OF COGNITIVE FUNCTION IN COMMUNITY-DWELLING OLDER JAPANESE: A 13-YEAR LONGITUDINAL STUDY

2016 ◽  
pp. 1-7 ◽  
Author(s):  
H. Murayama ◽  
S. Shinkai ◽  
M. Nishi ◽  
Y. Taniguchi ◽  
H. Amano ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Cognitive Function ◽  
Hierarchical Linear Modeling ◽  
Cognitive Change ◽  
Albumin Level ◽  
Community Dwelling ◽  
Health Examination ◽  
Linear Modeling ◽  
Function Design ◽  
Over Time

Background: Cognitive function can substantially decline over a long period, and understanding the trajectory of cognitive function is important. However, little is known about the linkage between nutritional biomarkers and long-term cognitive change. Objectives: We analyzed 13-year longitudinal data for older Japanese to examine the associations of serum albumin and hemoglobin levels with the trajectory of cognitive function. Design: Longitudinal study. Setting: Community-based. Participants: A total of 1,744 community-dwelling adults aged 65 years or older who participated in annual health examinations in Kusatsu town, Gunma Prefecture, Japan, from 2002–2014. Measurements: Cognitive function was assessed annually by the Mini-Mental State Examination (MMSE). Albumin and hemoglobin levels at baseline (the year when a respondent first participated in the health examination) were divided into quartiles. Hierarchical linear modeling was used to analyze intrapersonal and interpersonal differences in cognitive function. Results: Participants’ MMSE scores decreased at an accelerated rate over the 13-year period. Participants with the lowest baseline albumin level (below the first quartile line) showed a greater accelerated decline in MMSE scores over time, compared with those with the highest level (above the third quartile line). Moreover, MMSE scores in participants with a lower hemoglobin level and lower MMSE score at baseline tended to decline faster over time at an accelerated rate. Conclusions: These findings yield new insights about the complex and diverse roles of these nutritional biomarkers on the trajectory of cognitive function in old age.

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