The reciprocal relationship between nonverbal behavior and sports performance in a cross-lagged panel model

ObjectivesThe aim of the present research is to investigate the relationship between nonverbal behavior (NVB) and sports performance in a longitudinal design using cross-lagged panel models (CLPMs).MethodIn our study NVB and performance were measured at eight time points (n₁) in 48 basketball matches (n₂), resulting in N = 384 data points. Cross-lagged paths between NVB and performance were analyzed in multilevel models, with NVB at time point t-1 predicting performance at time point t and performance at time point t-1 predicting NVB at time point t. Performance was measured as the score difference between one team to the opposing team within a time point. NVB was rated on a scale from dominance to submissiveness by two blinded raters. Dependence of performance measures between time points was eliminated by two different approaches, resulting in two different measurements of performance.ResultsResults indicate an effect of NVB at time point t-1 on performance at time point t for one of the methods of performance. Contrary to our hypothesis and evidence from previous findings, there was no effect of performance at time point t-1 on NVB at time point t for neither method of measuring performance.ConclusionsThis study supports a positive relationship between NVB and sports performance, more so in the direction of NVB predicting performance.     

Testing the Physical Activity Self-Definition Model among low-active adults participating in a physical activity intervention

Seeing oneself as a physically active person is one of the strongest predictors of physical activity behaviour and self-regulatory strategies. Determining whether and how physical activity self-perceptions can be stimulated may help low-active individuals who do not see themselves as a physically active person become more active. Cross-sectional research has tested the Physical Activity Self-Definition (PASD) model among active samples; longitudinal studies among low-active adults have yet to be done. The purpose of this study was to test the predictive power of the PASD model among low-active adults over a 16-week physical activity intervention. Participants completed surveys of validated questionnaires in-person at baseline (pre-intervention) and at 16-weeks (end of intervention) at one of two primary care facilities. The final sample included 119 low-active adults. Partial least squares-structural equation modeling indicated that the original model had small-medium predictive power (Q² = 0.22; SRMR = 0.13 [0.05, 0.07]; RMSE = 1.13; MAE = 0.9; BIC = 1348.40). Two paths were added in the revised model (perceived wanting—PASD; perceived ability—perceived commitment), which explained an additional 4% and 5% of the variance in perceived commitment (R² = 0.62 [0.48, 0.72]) and PASD (R² = 0.74 [0.64, 0.80]; all p’s < 0.001), respectively. The revised model had medium predictive power (Q² = 0.25; SRMR = 0.11 [0.05, 0.06]; RMSE = 1.1; MAE = 0.87; BIC = 1332.84) All path coefficients remained positive and significant at p ≤ .001. Among low-active adults, perceived wanting and perceived ability may be more salient when engaging in physical activity and regarding themselves as a physically active person. Findings may support practitioners and health care professionals in designing physical activity interventions to foster PASD among low-active adult populations.     

Organizational justice and job insecurity as mediators of the effect of emotional intelligence on job satisfaction: A study from China

The current study aimed to explore how individual difference in emotional intelligence influenced job satisfaction, and mainly focused on the confirmation of the mediator roles of organizational justice and job insecurity. A total of 420 staffs from a large-scale IT enterprise in China completed the self-reported emotional intelligence scale, the organizational justice scale, the job insecurity scale and Minnesota job satisfaction questionnaire. The results revealed that emotional intelligence, organizational justice, job insecurity and job satisfaction were significantly correlated with each other. Structural equation modeling indicated that emotional intelligence can significantly influence job satisfaction and the relationship between EI and satisfaction was partially mediated by organizational justice and job insecurity.     

Individual differences in reading aloud: A mega-study,item effects,and some models

Normal individual differences are rarely considered in the modelling of visual word recognition – with item response time effects and neuropsychological disorders being given more emphasis – but such individual differences can inform and test accounts of the processes of reading. We thus had 100 participants read aloud words selected to assess theoretically important item response time effects on an individual basis. Using two major models of reading aloud – DRC and CDP+ – we estimated numerical parameters to best model each individual’s response times to see if this would allow the models to capture the effects, individual differences in them and the correlations among these individual differences. It did not. We therefore created an alternative model, the DRC-FC, which successfully captured more of the correlations among individual differences, by modifying the locus of the frequency effect. Overall, our analyses indicate that (i) even after accounting for individual differences in general speed, several other individual difference in reading remain significant; and (ii) these individual differences provide critical tests of models of reading aloud. The database thus offers a set of important constraints for future modelling of visual word recognition, and is a step towards integrating such models with other knowledge about individual differences in reading.     

Problems with Rationales for Parceling that Fail to Consider Parcel-Allocation Variability

In structural equation modeling applications, parcels—averages or sums of subsets of item scores—are often used as indicators of latent constructs. Parcel-allocation variability (PAV) is variability in results that arises within sample across alternative item-to-parcel allocations. PAV can manifest in all results of a parcel-level model (e.g., model fit, parameter estimates, standard errors, and inferential decisions). It is a source of uncertainty in parcel-level model results that can be investigated, reported, and accounted for. Failing to do so raises representativeness and replicability concerns. However, in recent methodological literature (Cole, Perkins, &; Zelkowitz, 2016 Cole, D. A., Perkins, C. E., &; Zelkowitz, R. L. (2016). Impact of homogeneous and heterogeneous parceling strategies when latent variables represent multidimensional constructs. Psychological Methods, 21(2), 164–174. doi: 10.1037/met0000047[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Little, Rhemtulla, Gibson, &; Shoemann, 2013 Little, T. D., Rhemtulla, M., Gibson, K., &; Schoemann, A. M. (2013). Why the items versus parcels controversy needn't be one. Psychological Methods, 18(3), 285–300. doi: 10.1037/a0033266[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Marsh, Ludtke, Nagengast, Morin, &; von Davier, 2013 Marsh, H. W., Lüdtke, O., Nagengast, B., Morin, A., &; von Davier, M. (2013). Why item parcels are (almost) never appropriate: Two wrongs do not make a right—camouflaging misspecification with item parcels in CFA models. Psychological Methods, 18(3), 257–284. doi: 10.1037/a0032773[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Rhemtulla, 2016 Rhemtulla, M. (2016). Population performance of SEM parceling strategies under measurement and structural model misspecification. Psychological Methods, 21(3), 348–368. doi: 10.1037/met0000072[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) parceling has been justified and recommended in several situations without quantifying or accounting for PAV. In this article, we explain and demonstrate problems with these rationales. Overall, we find that: (1) using a purposive parceling algorithm for a multidimensional construct does not avoid PAV; (2) passing a test of unidimensionality of the item-level model need not avoid PAV; and (3) a desire to improve power for detecting structural misspecification does not warrant parceling without addressing PAV; we show how to simultaneously avoid PAV and obtain even higher power by comparing item-level models differing in structural constraints. Implications for practice are discussed.     

Slow violence in post-1984 Punjab: Remembering,forgetting and refusals

ABSTRACT

In this paper, we examine the afterlives of insurgent and counterinsurgent violence in Punjab and the US. We explore how the period of the 1980s and 1990s came to have effects that linger into the present, and how violence is remembered by ordinary people, especially non-elite women. We argue that memories unfold in relation to the slow and structural violence that has manifested through years of Punjabis living with the after-effects of insurgency and counterinsurgency. Our research on remembering and forgetting shows that the period of violence of the 1980s and 1990s remains alive and formative in contemporary forms of community, gender, and identity across Punjab and its diasporas.     

Rethinking Traumatic Brain Injury from Intimate Partner Violence: A Theoretical Model of the Cycle of Transmission

ABSTRACT

Despite growing evidence of the repeated nature of traumatic brain injury (TBI) in women experiencing intimate partner violence (IPV), there is no theoretical model depicting TBIs as a cyclical process throughout a lifetime. Situational analysis methodology was used on interviews with 10 women who self-reported passing out from being hit in the head during an episode of IPV to create a theoretical model depicting the cycle of transmission of TBI. We define the cycle of transmission of TBI as the way that women experience multiple TBIs over the course of their lifetime and how TBI can be perpetuated in a family or community. The cycle begins in childhood or adolescence, when women receive a TBI from abuse, sports, or motor vehicle accident. They enter into abusive relationships with men who are also described as living with a TBI and the women receive other TBIs during this relationship. With repeating head trauma, women described increasing TBI symptoms: problems with memory, cognition, executive functioning, depression, and concentration. If they do seek help, they must choose between healthcare and protective shelter. With either choice, the element of instability could be introduced and the cycle of transmission continues. This theoretical model shows that it is necessary to move beyond individual behaviors to think about how TBIs are transmitted through communities and how untreated symptoms can impact help-seeking behavior and perpetuate other risk factors for receiving a TBI.     

Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony

Abstract

CFAs of multidimensional constructs often fail to meet standards of good measurement (e.g., goodness-of-fit, measurement invariance, and well-differentiated factors). Exploratory structural equation modeling (ESEM) represents a compromise between exploratory factor analysis’ (EFA) flexibility, and CFA/SEM’s rigor and parsimony, but lacks parsimony (particularly in large models) and might confound constructs that need to be kept separate. In Set-ESEM, two or more a priori sets of constructs are modeled within a single model such that cross-loadings are permissible within the same set of factors (as in Full-ESEM) but are constrained to be zero for factors in different sets (as in CFA). The different sets can reflect the same set of constructs on multiple occasions, and/or different constructs measured within the same wave. Hence, Set-ESEM that represents a middle-ground between the flexibility of traditional-ESEM (hereafter referred to as Full-ESEM) and the rigor and parsimony of CFA/SEM. Thus, the purposes of this article are to provide an overview tutorial on Set-ESEM, juxtapose it with Full-ESEM, and to illustrate its application with simulated data and diverse “real” data applications with accessible, heuristic explanations of best practice.     

Measuring time perspective in adolescents: Can you get the right answer by asking the wrong questions?

Time perspective continues to evolve as a psychological construct. The extant literature suggests that higher future orientation and lower present orientation are associated with better developmental outcomes. However, the extant literature also suggests that issues remain with the measurement of the construct. Recently, a 25-item version of the Zimbardo Time Perspective Inventory (ZTPI-25) was suggested for use based on high internal consistency estimates and good discriminant validity of scores in a sample of Italian adolescents. However, the genesis of this scale is uncertain. The present study examined the factorial validity, reliability, and concurrent validity of ZTPI-25 scores in Slovenian, American, and British adolescents. Results revealed satisfactory concurrent validity based on correlations with measures used in the development of the full ZTPI. However, internal consistency and factorial validity of scores were unsatisfactory. The present study questions the use of the ZTPI-25 with adolescents in the context of conceptual and measurement issues more broadly.