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.

Signaling and social influence: the impact of corporate volunteer programs

2021 ◽  
Vol 36 (2) ◽  
pp. 183-196
Author(s):  
Yinyin Cao ◽  
Frits K. Pil ◽  
Benn Lawson
Keyword(s):  
Social Influence ◽  
Hierarchical Linear Modeling ◽  
Work Life ◽  
Linear Modeling ◽  
Content Type ◽  
Employee Reactions ◽  
Volunteer Experiences ◽  
Volunteer Programs ◽  
The Impact

PurposeThis study aims to provide insight on how work–life initiatives impact employees. Using corporate volunteer programs as an example, the authors examine the role of coworker social influence in shaping the reactions of both employee participants and non-participants of the program. The paper further identifies several factors that may moderate these relationships.Design/methodology/approachThe authors surveyed employees before and after the implementation of a new corporate work–life initiative. 99 employees provided data pre and post. OLS regression and hierarchical linear modeling were used to test hypothesized relationships.FindingsEven in the context of low participation, work–life initiatives engendered positive organization-related perceptions among employees. These positive outcomes were due in part to coworkers' sharing of their volunteer experiences and were most prominent for employees in positions that afforded flexibility, and employees who reported close ties with coworkers.Practical implicationsThe study deepens our understanding of employee reactions to work–life programs and underlines the importance of these programs even when employee participation is low. The role of coworker influence as a determinant of employee reactions suggests there may be value in purposefully fostering participants' sharing of volunteer experiences in the workplace.Originality/valueThis study takes a unique approach to examining the role of coworker influence in shaping employee reactions to corporate initiatives.

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.

Role of forest fires in Holocene stand-scale dynamics in the unmanaged taiga forest of northwestern Russia

The Holocene ◽  
2014 ◽  
Vol 24 (11) ◽  
pp. 1503-1514 ◽  
Author(s):  
Niina Kuosmanen ◽  
Keyan Fang ◽  
Richard HW Bradshaw ◽  
Jennifer L Clear ◽  
Heikki Seppä
Keyword(s):  
Forest Fires ◽  
Siberian Larch ◽  
Wavelet Coherence ◽  
Individual Tree ◽  
Study Region ◽  
Taiga Forest ◽  
The Impact ◽  
Wavelet Coherence Analysis ◽  
Northwestern Russia

Fossil pollen, conifer stomata, and charcoal records for the last 10,000 years were studied from three small hollow sites (Larix Hollow, Mosquito Hollow, and Olga Hollow) located at the modern western range limit of Siberian larch ( Larix sibirica) in northwestern Russia to investigate the role of forest fires in stand-scale dynamics of taiga vegetation. Wavelet coherence analysis was utilized to reveal the significance of fire on the vegetation composition at different timescales by assessing the phase and strength of the relationship between forest fires and most common boreal tree taxa in a time–frequency window. Pollen and stomata data show that all of the modern-day common tree taxa, including Norway spruce ( Picea abies) and Siberian larch, have been present in the study region since the early Holocene. The absence of charcoal layers at Mosquito Hollow suggests that this site has acted as a fire-free refugium with continuous dominance of spruce throughout the Holocene. Meanwhile, the Larix Hollow record indicates frequent local fire events and as a consequence, a more variable tree species composition. The wavelet coherence results show that the impact of forest fires on vegetation varies from short-term (<200-year periods) changes in individual tree taxa to long-term (400–800 years) changes in forest composition, such as the expansion of spruce population after local high-intensity fires around 7500–7000 cal. yr BP and the increase in abundance of birch and alder during periods of high fire frequency. Our results suggest that Holocene fire histories can be markedly different within a small geographical area, demonstrating the importance of site-specific factors in the local fire regime in the unmanaged taiga forest.

Innovation affecting growth aspirations of early stage entrepreneurs: culture and economic freedom matter

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehrzad Saeedikiya ◽  
Jizhen Li ◽  
Shayegheh Ashourizadeh ◽  
Serdar Temiz
Keyword(s):  
Hierarchical Linear Modeling ◽  
Design Methodology ◽  
Economic Freedom ◽  
Early Stage ◽  
Linear Modeling ◽  
Global Entrepreneurship Monitor ◽  
Content Type ◽  
Entrepreneurial Growth ◽  
Positive Effect

Purpose Earlier research confirms the positive effect of innovation in shaping growth ambitions of entrepreneurs. The aim of this paper is to investigate whether the effect of innovation on growth ambitions of entrepreneurs is contingent on the role of institutions, namely, culture and economic freedom. In other words, the authors’ objective is to provide an institutionally contingent understanding of the role of innovation in shaping growth ambitions of early-stage entrepreneurs. Design/methodology/approach The authors applied hierarchical linear modeling technique on the data of 100,566 early-stage entrepreneurs in 109 countries that participated in annual surveys of Global Entrepreneurship Monitor. Findings The authors find that the effect of innovation on shaping growth ambitions of early stage entrepreneurs is contingent on the role of culture such that, in secular cultures, innovation benefits growth ambitions more than traditional cultures. Further, the authors found that the effect of innovation on growth expectations is dependent on the level of economic freedom in the country in which the firms operate so that in the countries with higher level of economic freedom, early-stage entrepreneurs expect more growth out of their innovation as compared to their counterparts in the depressed economies. Originality/value The results contribute to our understanding of entrepreneurial growth aspirations as a result of the interplay of entrepreneur–firm–environment nexus.

A Systematic Methodological Review of Hierarchical Linear Modeling in Mixed Methods Research

2020 ◽  
pp. 155868982093788
Author(s):  
Kirstie L. Bash ◽  
Michelle C. Howell Smith ◽  
Pam S. Trantham
Keyword(s):  
Mixed Methods ◽  
Hierarchical Linear Modeling ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Linear Models ◽  
Mixed Methods Study ◽  
Linear Modeling ◽  
Methodological Review ◽  
Design Choice

The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article examines the role of hierarchical linear modeling in mixed methods research with emphasis on design choice, priority, and rationales. The results from this systematic methodological review suggest that hierarchical linear modeling does not overshadow the contributions of the qualitative strand. Our study contributes to the field of mixed methods research by offering recommendations for the use of hierarchical linear modeling as the quantitative strand in mixed methods studies.

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 Examining the Role of Spatial Skills and Mathematics Motivation on Middle School Mathematics Achievement

2020 ◽  
Author(s):  
Kinnari Atit ◽  
Jason R. Power ◽  
Norma Veurink ◽  
David Uttal ◽  
Sheryl Sorby ◽  
...  
Keyword(s):  
Middle School ◽  
Mathematics Achievement ◽  
Hierarchical Linear Modeling ◽  
Spatial Skills ◽  
Linear Modeling ◽  
School Students ◽  
Science Technology ◽  
Mathematics Motivation ◽  
And Mathematics

Background: Spatial skills and mathematical ability have been repeatedly identified as criticalfor achievement in Science, Technology, Engineering, and Mathematics (STEM). Previous studies have identified correlations between spatial skills and mathematical achievement; however, questions remain regarding improvements in non-spatial areas associated with STEM achievement. The current study examined whether competency in spatial skills could be related to individuals’ motivation for mathematics. Measures of spatial skills and mathematics motivation were completed by 1,056 seventh grade students.Results: Using hierarchical linear modeling, spatial skills and math motivation were examined relative to students’ performance on a state standardized mathematics subtest. Results indicate that spatial skills and motivation interact to significantly predict students’ mathematics performance.Conclusions: These results suggest that spatial skills in combination with motivation play a significant role in middle school students’ mathematics achievement.

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.

The Effect of Internationalization on Firm Performance: A Moderating Role of Heterogeneity in TMTs’ Nationality

2020 ◽  
pp. 193896552095870
Author(s):  
Sujin Song ◽  
Seoki Lee
Keyword(s):  
Firm Performance ◽  
Hierarchical Linear Modeling ◽  
Top Management Teams ◽  
Linear Modeling ◽  
Return On Assets ◽  
Upper Echelons Theory ◽  
Comprehensive Examination ◽  
The Relationship ◽  
Moderating Role

The effect of internationalization on firm performance has been investigated in the hospitality literature in a relatively extensive manner. However, the literature has still provided mixed findings. Furthermore, the moderating role of top management teams (TMTs) on the relationship between internationalization and firm performance has not been explored yet in the hospitality literature. Considering the increasing importance of internationalization in the hospitality industry and a significant role of TMTs in implementing this internationalization, this study performs a comprehensive examination on the effect of internationalization on firm performance using three different internationalization measures (i.e., degree, diversification, and speed) and three different performance measures (i.e., Tobin’s q, return on assets, and international returns). This study also tests the moderating role of heterogeneity in TMTs’ nationality based on the upper echelons theory, employing hierarchical linear modeling (HLM) to test the proposed hypotheses.

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.

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