Predictors and consequences of individual differences in cross-linguistic interactions: A model of second language reading skill

2020 ◽  
Vol 24 (1) ◽  
pp. 154-166 ◽  
Author(s):  
Brianna L. Yamasaki ◽  
Chantel S. Prat
Keyword(s):  
Second Language ◽  
Individual Differences ◽  
Conflict Management ◽  
Cognitive Skills ◽  
Structural Equation ◽  
Reading Skill ◽  
Equation Modeling ◽  
Language Experience ◽  
L2 Reading ◽  
Attention Tasks

AbstractPrevious research has demonstrated that individual differences in conflict management predict second-language (L2) reading skill. The current experiment tested the hypothesis that this relation reflects the need to manage conflict from cross-linguistic interactions (CLI). A novel model specifying the relation between L2 reading skill, CLI, and the predictors of such interactions was tested in 253 L2 English speaking adults, using structural equation modeling. In support of the hypothesis, the findings revealed that stronger CLI was related to poorer L2 reading skill. In addition, variability in non-linguistic conflict management, as measured by executive attention tasks, and relative language dominance reliably predicted CLI. Specifically, better conflict management and lower L1 dominance corresponded to fewer interactions. These results fill a crucial gap by demonstrating for the first time that the ability to manage CLI is critical to L2 reading, and that both cognitive skills and language experience contribute to variability in these interactions.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

Gender and Organizational Conflict Management: The Mediating Role of Personality

2018 ◽  
Author(s):  
Maciej Kościelniak ◽  
Jarosław Piotrowski ◽  
Magdalena Żemojtel-Piotrowska
Keyword(s):  
Conflict Management ◽  
Personality Traits ◽  
Structural Equation ◽  
Online Survey ◽  
Conflict Behavior ◽  
Equation Modeling ◽  
Conflict Management Styles ◽  
Mediating Role ◽  
Big Five Model

Many authors examined the interplay between gender and conflict management preferences, but those findings were often mixed and inconsistent. In the current paper we tried to explain those inconsistencies by investigating the mediating role of personality for the relationship of gender and conflict management. Rahim's inventory was used for identifying five conflict management styles, and Big Five Model theory was a base for assessing participants' personality traits. Data were collected from a sample of 1,055 working Poles (52.7% women), in an online survey. Based on the structural equation modeling we detected multiple indirect mediating paths of gender on conflict management via personality traits, while no direct effect of gender was observed. Despite some limitations, the study sheds light on the actual role of gender in conflict behavior and the importance of personality traits in the conflict management, both from a theoretical and practical perspective.

The Affiliative Role of Empathy in Everyday Interpersonal Interactions

2019 ◽  
Author(s):  
Whitney R. Ringwald ◽  
Aidan G.C. Wright
Keyword(s):  
Individual Differences ◽  
Structural Equation ◽  
Community Sample ◽  
Empirical Support ◽  
Interpersonal Behavior ◽  
Equation Modeling ◽  
Experimental Conditions ◽  
Student Sample ◽  
Ecological Momentary

Empathy theoretically serves an affiliative interpersonal function by satisfying motives for intimacy and union with others. Accordingly, empathy is expected to vary depending on the situation. Inconsistent empirical support for empathy’s affiliative role may be due to methodology focused on individual differences in empathy or differences between controlled experimental conditions, which fail to capture its dynamic and interpersonal nature. To address these shortcomings, we used ecological momentary assessment to establish typical patterns of empathy across everyday interactions. Associations among empathy, affect, and interpersonal behavior of self and interaction partner were examined in a student sample (N=330), then replicated in a pre-registered community sample (N=279). Multi-level structural equation modeling was used to distinguish individual differences in empathy from interaction-level effects. Results show people are more empathetic during positively-valanced interactions with others perceived as warm and when expressing warmth. By confirming the typically affiliative role of empathy, existing research to the contrary can be best understood as exceptions to the norm.

scholarly journals Applying UTAUT in Predicting ESL Lecturers Intention to Use Flipped Learning

2021 ◽  
Vol 13 (15) ◽  
pp. 8571
Author(s):  
Siti Fatimah Abd Rahman ◽  
Melor Md Yunus ◽  
Harwati Hashim
Keyword(s):  
Second Language ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Teaching And Learning ◽  
Equation Modeling ◽  
Learning Approach ◽  
Intention To Use ◽  
Flipped Learning ◽  
Use Of Technology

Flipped learning empowers learners to take an engaging role in learning while educators assist the learning process. The employment of flipped learning has been confirmed to enhance the teaching and learning of English as a second language in previous studies. This study aimed to explore the application of the unified theory of technology acceptance and use of technology towards ESL lecturers’ intention to use flipped learning. This study used a quantitative research framework where a set of online questionnaires was used in collecting the data. A total of 206 English as a second language lecturers from four different universities participated in this study. The data were analyzed using structural equation modeling. The result of this study indicates that only social influence is significant in predicting English as a second language lecturers’ intention to use the flipped learning approach. Furthermore, this study enriches the literature on 21st century education and the integration of technology in teaching and learning. In addition, this study could help educators and stakeholders in adapting or enhancing the flipped learning approach by distinguishing the distinct predictors of technology acceptance.

scholarly journals THE CONTRIBUTIONS OF IMPLICIT-STATISTICAL LEARNING APTITUDE TO IMPLICIT SECOND-LANGUAGE KNOWLEDGE

2021 ◽  
pp. 1-29
Author(s):  
Aline Godfroid ◽  
Kathy MinHye Kim
Keyword(s):  
Second Language ◽  
Reaction Time ◽  
Language Learning ◽  
Statistical Learning ◽  
Structural Equation ◽  
Reaction Time Task ◽  
Implicit Knowledge ◽  
Equation Modeling ◽  
Language Tests ◽  
Language Knowledge

Abstract This study addresses the role of domain-general mechanisms in second-language learning and knowledge using an individual differences approach. We examine the predictive validity of implicit-statistical learning aptitude for implicit second-language knowledge. Participants (n = 131) completed a battery of four aptitude measures and nine grammar tests. Structural equation modeling revealed that only the alternating serial reaction time task (a measure of implicit-statistical learning aptitude) significantly predicted learners’ performance on timed, accuracy-based language tests, but not their performance on reaction-time measures. These results inform ongoing debates about the nature of implicit knowledge in SLA: they lend support to the validity of timed, accuracy-based language tests as measures of implicit knowledge. Auditory and visual statistical learning were correlated with medium strength, while the remaining implicit-statistical learning aptitude measures were not correlated, highlighting the multicomponential nature of implicit-statistical learning aptitude and the corresponding need for a multitest approach to assess its different facets.

The intersectionality of teacher immediacy, emotioncy and willingness to communicate in higher education context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asieh Amini ◽  
Hiwa Weisi
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Structural Equation ◽  
English Language ◽  
Pearson Correlation ◽  
Small Sample ◽  
Willingness To Communicate ◽  
Equation Modeling ◽  
Teacher Immediacy ◽  
Content Type

PurposeGiven the significance of willingness to communicate and its integral role in the field of foreign/second language acquisition (F/SLA), this quantitative study intends to examine the relationship between sensory emotioncy types and teacher immediacy with second language learners' willingness to communicate (WTC).Design/methodology/approachA total number of 280 students majoring in teaching English as a Foreign Language (TEFL), and English Language and Literature completed three scales of Sensory Emotioncy Type (SET), Willingness to Communicate and Teacher Immediacy (TI). For data analysis, Pearson correlation coefficient, multiple regression analysis and structural equation modeling (SEM) were employed.FindingsThe results of SEM showed that learners' WTC was significantly predicted by emotioncy and teacher immediacy. Further, reports from correlational and regression analyses revealed a significantly positive correlation, first, between teacher immediacy and learners' WTC, secondly, between emotioncy and learners' WTC.Research limitations/implicationsThe main limitation of this study was that the participants were selected from one context with relatively a small sample which might restrict the generalization. Nonetheless, the present study findings might extend ancillary horizons and provided worthwhile insights into the perception of teacher immediacy and emotioncy on students' willingness to communicate.Practical implicationsThe significance of the current study lies in its theoretical contribution to the notion of WTC and its pedagogical implications and suggestions to the benefits of rejuvenating second language teaching and learning. Findings of this study help pre-service and in-service teachers in providing them more robust picture of learners' individual differences; and hence exert the most appropriate tasks which learners have the most degree of familiarity and better to say, emotioncy.Originality/valueIn the current study notable results were obtained which would be efficacious to the present literature on the EFL teacher immediacy, emotioncy and willingness to communicate. First and foremost, the findings added to a growing body of literature on emotioncy as a relatively novel concept in academic settings and teacher immediacy , and willingness to communicate which have gained scant attention in the field.

The Roles of Initial Mathematics, Reading, and Cognitive Skills in Subsequent Mathematics Performance: A Meta-Analytic Structural Equation Modeling Approach

2021 ◽  
pp. 003465432110545
Author(s):  
Xin Lin ◽  
Sarah R. Powell
Keyword(s):  
Working Memory ◽  
Structural Equation Modeling ◽  
Cognitive Skills ◽  
Structural Equation ◽  
Meta Analysis ◽  
Time Lag ◽  
Mathematics Performance ◽  
Equation Modeling ◽  
Word Problem Solving ◽  
Significant Moderator

In the present meta-analysis, we systematically investigated the relative contributions of students’ initial mathematics, reading, and cognitive skills on subsequent mathematics performance measured at least 3 months later. With one-stage meta-analytic structural equation modeling, we conducted analyses based on 580,437 students from 265 independent samples and 250 studies. Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Age emerged as a significant moderator in the model, such that the effects of comprehensive mathematics and working memory on subsequent mathematics increased with age, whereas attention and self-regulation’s impacts declined with age. Time lag between assessments also emerged as a significant moderator, such that the effects of word-problem solving and word recognition accuracy decreased as the time lag increased, whereas vocabulary, attention, and self-regulation’s effects increased as the time lag increased.

scholarly journals Using Conflict Management in Improving Owners and Contractors Relationship Quality in the Construction Industry: The Mediation Role of Trust

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401989883 ◽  
Author(s):  
Kolawole Iyiola ◽  
Husam Rjoub
Keyword(s):  
Conflict Management ◽  
Relationship Quality ◽  
Construction Industry ◽  
Structural Equation ◽  
Quality Data ◽  
Equation Modeling ◽  
Future Research ◽  
Future Research Directions ◽  
The Relationship

This study investigates conflict management climate as perceived by the owners and contractors significantly affect trust and relationship quality in the Nigerian construction industry. This empirical study also assesses trust as a mediator between conflict management climate and relationship quality. Data gathered from 426 owners and contractors employees in the Nigerian construction industry were used to verify the abovementioned relationships via structural equation modeling. The results show that conflict management climate significantly predicted trust and relationship quality. Trust significantly predicted relationship quality and partially mediates the relationship between conflict management climate and relationship quality. This study contributes to theory within this research by showing trust and relationship quality is significantly affected when owners and contractors are aware of the conflict management climate. The study offers important practical implications for managing conflict management between owners and contractors in the construction industry. Insights into future research directions are also documented.

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